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26. A computing device comprising: a processor; a memory, wherein the memory coupled to the processor which are configured to execute programmed instructions stored in the memory comprising: a) parsing an XML event from the first XML document or the second XML document when an XML event indicator is set, wherein the parsed XML event comprises a start element, the tag value element, and an end element; b) storing the parsed XML event and storing data associated with a tag value element of the parsed XML event as a node in a first data structure or a second data structure, when the parsed XML event is from the first XML document or the second XML document, respectively, the storing further comprising storing, a tag name, a set of tag attributes, and values of the set of tag attributes of the parsed XML event in in the first data structure or the second data structure when the parsed XML event is the start element parsed from the first XML document or the second XML document; c) comparing the stored node of the parsed XML event with one or more nodes stored in the first data structure or the second data structure, based on the parsed XML event and a plurality of parameters wherein the comparing further comprises comparing the tag name of the stored node of the parsed XML event with the tag name of a node stored in the second data structure or the first data structure, when the parsed XML event is the start element from the first XML document or the second XML document, and wherein setting the node comparison indicator of the stored node of the parsed XML event, the node comparison indicator of the node, and the status comparison indicator to TaqMatch, when the taq name of the stored node of the parsed XML event is equal to the taq name of the node and setting the node comparison indicator of the stored node of the parsed XML event, the node comparison indicator of the node, the status comparison indicator to TagMismatch, and the node mismatch indicator to ‘True’, when the tag name of the stored node of the parsed XML event differs from the tag name of the node; d) outputting a comparison result based on the parsed XML event and the plurality of parameters, when a node in the one or more nodes stored in the first data structure or the second data structure is a comparable stored node of the stored node of the parsed XML event; e) deleting the compared stored nodes from the first data structure and the second data structure, based on the parsed XML event and the plurality of parameters, when the compared stored nodes are outputted in the comparison result; f) setting the XML event indicator to the first XML document or the second XML document on processing the step of parsing, the step of storing, the step of comparing, the step of outputting a comparison result, or the step of deleting, based on the plurality of parameters, performing the step (f), whereby the XML event indicator is set to the first XML document; and g) repeating, the steps (a) through (e), or the step (f), in each iteration, until the first XML document and the second XML document are parsed completely.
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26. A computing device comprising: a processor; a memory, wherein the memory coupled to the processor which are configured to execute programmed instructions stored in the memory comprising: a) parsing an XML event from the first XML document or the second XML document when an XML event indicator is set, wherein the parsed XML event comprises a start element, the tag value element, and an end element; b) storing the parsed XML event and storing data associated with a tag value element of the parsed XML event as a node in a first data structure or a second data structure, when the parsed XML event is from the first XML document or the second XML document, respectively, the storing further comprising storing, a tag name, a set of tag attributes, and values of the set of tag attributes of the parsed XML event in in the first data structure or the second data structure when the parsed XML event is the start element parsed from the first XML document or the second XML document; c) comparing the stored node of the parsed XML event with one or more nodes stored in the first data structure or the second data structure, based on the parsed XML event and a plurality of parameters wherein the comparing further comprises comparing the tag name of the stored node of the parsed XML event with the tag name of a node stored in the second data structure or the first data structure, when the parsed XML event is the start element from the first XML document or the second XML document, and wherein setting the node comparison indicator of the stored node of the parsed XML event, the node comparison indicator of the node, and the status comparison indicator to TaqMatch, when the taq name of the stored node of the parsed XML event is equal to the taq name of the node and setting the node comparison indicator of the stored node of the parsed XML event, the node comparison indicator of the node, the status comparison indicator to TagMismatch, and the node mismatch indicator to ‘True’, when the tag name of the stored node of the parsed XML event differs from the tag name of the node; d) outputting a comparison result based on the parsed XML event and the plurality of parameters, when a node in the one or more nodes stored in the first data structure or the second data structure is a comparable stored node of the stored node of the parsed XML event; e) deleting the compared stored nodes from the first data structure and the second data structure, based on the parsed XML event and the plurality of parameters, when the compared stored nodes are outputted in the comparison result; f) setting the XML event indicator to the first XML document or the second XML document on processing the step of parsing, the step of storing, the step of comparing, the step of outputting a comparison result, or the step of deleting, based on the plurality of parameters, performing the step (f), whereby the XML event indicator is set to the first XML document; and g) repeating, the steps (a) through (e), or the step (f), in each iteration, until the first XML document and the second XML document are parsed completely. 32. The device of claim 26 further comprising: setting the status comparison indicator is set to ‘TagMismatch’, when the node with which the stored node of the parsed XML event is compared is not the comparable stored node; and setting the status comparison indicator is set to ‘TagMatch’, when the node with which the stored node of the parsed XML event is compared is the comparable stored node of the stored node of the parsed XML event.
| 0.614488 |
8. A speech synthesis apparatus comprising: a text tagging apparatus receiving a speech signal file, wherein the speech signal file comprises text content and prosodic information, and the text tagging apparatus comprises: a text recognizer analyzing the speech signal file to obtain the text content of the speech signal file, wherein the speech signal file is a recorded file of human voice from a user to recite a text content and received by a voice input unit; a prosody analyzer analyzing the speech signal file to obtain the prosodic information of the speech signal file; and a tagging device automatically tagging the text content and the corresponding prosodic information to obtain a text tag file; and a prosody mimicking apparatus receiving the text tag file and comprising: an analyzer analyzing the text tag file to obtain the text content and the prosodic information; and a speech synthesizer combining a human voice profile, the text content, and the prosodic information to obtain the speech synthesis file, wherein a speech synthesis sound is produced when the speech synthesis file is broadcasted by the speech synthesizer.
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8. A speech synthesis apparatus comprising: a text tagging apparatus receiving a speech signal file, wherein the speech signal file comprises text content and prosodic information, and the text tagging apparatus comprises: a text recognizer analyzing the speech signal file to obtain the text content of the speech signal file, wherein the speech signal file is a recorded file of human voice from a user to recite a text content and received by a voice input unit; a prosody analyzer analyzing the speech signal file to obtain the prosodic information of the speech signal file; and a tagging device automatically tagging the text content and the corresponding prosodic information to obtain a text tag file; and a prosody mimicking apparatus receiving the text tag file and comprising: an analyzer analyzing the text tag file to obtain the text content and the prosodic information; and a speech synthesizer combining a human voice profile, the text content, and the prosodic information to obtain the speech synthesis file, wherein a speech synthesis sound is produced when the speech synthesis file is broadcasted by the speech synthesizer. 10. The speech synthesis apparatus as recited in claim 8 , wherein the prosodic information comprises one of intensity, volume, pitch, and duration or a combination thereof.
| 0.680914 |
15. An apparatus configured for automating accounting, comprising: a processor; a memory; a receiving mechanism configured to receive a check voucher at a system, wherein the check voucher corresponds to a check, wherein the check voucher is neither a check nor an invoice; a recognition mechanism configured to perform an optical character recognition (OCR) operation on the check voucher to identify a set of tokens printed on the check voucher; a search mechanism configured to search a dictionary of tokens for open invoices to identify a match between the set of tokens printed on the check voucher and tokens associated with an open invoice; a determination mechanism configured to determine an amount of the check by determining the value of an amount token printed on the check voucher; an accounting mechanism configured to apply a payment for the amount of the check to the open invoice; wherein the apparatus further determines a layout for the check voucher, wherein the layout indicates a position and a type of each token on the check voucher; saves the layout in a library to facilitate processing of subsequent check vouchers with the same layout; determines an identifying token on the check voucher; and uses the identifying token to retrieve the layout for the check voucher.
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15. An apparatus configured for automating accounting, comprising: a processor; a memory; a receiving mechanism configured to receive a check voucher at a system, wherein the check voucher corresponds to a check, wherein the check voucher is neither a check nor an invoice; a recognition mechanism configured to perform an optical character recognition (OCR) operation on the check voucher to identify a set of tokens printed on the check voucher; a search mechanism configured to search a dictionary of tokens for open invoices to identify a match between the set of tokens printed on the check voucher and tokens associated with an open invoice; a determination mechanism configured to determine an amount of the check by determining the value of an amount token printed on the check voucher; an accounting mechanism configured to apply a payment for the amount of the check to the open invoice; wherein the apparatus further determines a layout for the check voucher, wherein the layout indicates a position and a type of each token on the check voucher; saves the layout in a library to facilitate processing of subsequent check vouchers with the same layout; determines an identifying token on the check voucher; and uses the identifying token to retrieve the layout for the check voucher. 18. The apparatus of claim 15 , wherein the search mechanism is further configured to identify a match between the set of tokens printed on the check voucher and tokens associated with the open invoice by comparing amounts of the open invoices to the amount of the check.
| 0.540297 |
13. A computer program product comprising a computer usable non-transitory medium having a computer readable code embodied therein for controlling a printing device, wherein the printing device includes an input tray for holding printing sheets and an insert sheet tray for holding insert sheets, the computer readable program code configured to cause the printing device to execute a process for producing a print job, the process comprising the steps of: (a) receiving data representing a document to be printed in the print job; (b) receiving job information about the print job, the job information including an instruction to print multiple copies of the document; (c) printing the requested multiple copies of the document using the printing sheets from the input tray; (d) determining whether insert sheets are available in the insert sheet tray; (e) if insert sheets are available in the insert sheet tray, inserting insert sheets from the insert sheet tray between printed copies of the document; and (f) if insert sheets are unavailable in the insert sheet tray, printing one or more simulated insert sheets using the printing sheets from the input tray as a substitute and inserting them between printed copies of the document.
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13. A computer program product comprising a computer usable non-transitory medium having a computer readable code embodied therein for controlling a printing device, wherein the printing device includes an input tray for holding printing sheets and an insert sheet tray for holding insert sheets, the computer readable program code configured to cause the printing device to execute a process for producing a print job, the process comprising the steps of: (a) receiving data representing a document to be printed in the print job; (b) receiving job information about the print job, the job information including an instruction to print multiple copies of the document; (c) printing the requested multiple copies of the document using the printing sheets from the input tray; (d) determining whether insert sheets are available in the insert sheet tray; (e) if insert sheets are available in the insert sheet tray, inserting insert sheets from the insert sheet tray between printed copies of the document; and (f) if insert sheets are unavailable in the insert sheet tray, printing one or more simulated insert sheets using the printing sheets from the input tray as a substitute and inserting them between printed copies of the document. 18. The computer program product of claim 13 , wherein the job information is in a JDF (Job Definition Format) format.
| 0.573077 |
15. A method for identifying cells in a path in a flowchart, the method comprising: (a) displaying a flowchart in a first display region, wherein the flowchart comprises a plurality of cells defining a plurality of paths, wherein at least some of the plurality of cells in the flowchart comprise instructions for providing an interactive multimedia presentation, wherein at least one of the plurality of cells comprises an instruction to trigger a piece of media during the interactive multimedia presentation, wherein timing information specifies when the piece of media is to be played during the interactive multimedia presentation, and wherein at least one other of the plurality of cells comprises an instruction to gather user input during the interactive multimedia presentation; (b) receiving, from a user, a selection of a cell in the flowchart; (c) determining a path comprising the selected cell; (d) identifying, to the user, at least some cells in the path by displaying a textual view of the at least some cells in the path, but not of at least some cells in the flowchart that are not in the path, in a second display region; and (e) for at least one of the plurality of cells that comprise an instruction to trigger a piece of media during the interactive multimedia presentation, displaying a description of the media that will be played during the interactive multimedia presentation.
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15. A method for identifying cells in a path in a flowchart, the method comprising: (a) displaying a flowchart in a first display region, wherein the flowchart comprises a plurality of cells defining a plurality of paths, wherein at least some of the plurality of cells in the flowchart comprise instructions for providing an interactive multimedia presentation, wherein at least one of the plurality of cells comprises an instruction to trigger a piece of media during the interactive multimedia presentation, wherein timing information specifies when the piece of media is to be played during the interactive multimedia presentation, and wherein at least one other of the plurality of cells comprises an instruction to gather user input during the interactive multimedia presentation; (b) receiving, from a user, a selection of a cell in the flowchart; (c) determining a path comprising the selected cell; (d) identifying, to the user, at least some cells in the path by displaying a textual view of the at least some cells in the path, but not of at least some cells in the flowchart that are not in the path, in a second display region; and (e) for at least one of the plurality of cells that comprise an instruction to trigger a piece of media during the interactive multimedia presentation, displaying a description of the media that will be played during the interactive multimedia presentation. 17. The method of claim 15 , wherein (c) comprises, starting with the selected cell being a given cell: (c1) determining which cell directly connected to the given cell was in a determined path the last time the given cell was in a determined path; and (c2) repeating (c1) with the given cell being the cell determined in (c1).
| 0.532194 |
1. A method, comprising: receiving, by a computing device, first business logic expressed in one or more declarative languages, the first business logic including a first process description, the first process description describing a first process of a business process instance in terms of one or more flows; receiving, by the computing device, second business logic expressed in the one or more declarative languages, the second business logic including a second process description, the second process description describing a second process of the business process instance in terms of one or more rules, the second process being different from the first process; and executing, by the computing device, the first business logic and the second business logic, wherein the business process instance is associated with one or more states, wherein each of the one or more flows represents a control flow between business functions, wherein each of the one or more states represents a legal state transition for at least one business entity, and wherein each of the one or more rules represents a business rule or policy enforced on the at least one business entity in an externalized form.
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1. A method, comprising: receiving, by a computing device, first business logic expressed in one or more declarative languages, the first business logic including a first process description, the first process description describing a first process of a business process instance in terms of one or more flows; receiving, by the computing device, second business logic expressed in the one or more declarative languages, the second business logic including a second process description, the second process description describing a second process of the business process instance in terms of one or more rules, the second process being different from the first process; and executing, by the computing device, the first business logic and the second business logic, wherein the business process instance is associated with one or more states, wherein each of the one or more flows represents a control flow between business functions, wherein each of the one or more states represents a legal state transition for at least one business entity, and wherein each of the one or more rules represents a business rule or policy enforced on the at least one business entity in an externalized form. 4. The method of claim 1 , wherein the first and second business logic are executed by a plurality of parties, wherein at least one party of the plurality of parties acts as a trusted party for at least one other party in the plurality of parties, and wherein the trusted party guarantees correctness of a protocol at design time and at run time, maintains records of all interactions, and performs some activities for the at least one other party during the execution of the first and second business logic.
| 0.517104 |
11. The apparatus of claim 10 , the at least one storage medium further including instructions that, when executed by the at least one processor, cause the at least one processor to: compare the first constituent part with a first part included in the accessed pattern; and determine whether the first constituent part corresponds to the accessed pattern, based on the comparison results.
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11. The apparatus of claim 10 , the at least one storage medium further including instructions that, when executed by the at least one processor, cause the at least one processor to: compare the first constituent part with a first part included in the accessed pattern; and determine whether the first constituent part corresponds to the accessed pattern, based on the comparison results. 12. The apparatus of claim 11 , the at least one storage medium further including instructions that, when executed by the at least one processor, cause the at least one processor to: compare the second constituent part with a second part included in the accessed pattern; determine whether the second constituent part corresponds to the accessed pattern, based on the comparison results; and in response to determining that the first constituent part and the second constituent part correspond to the accessed pattern, identify the at least one category that is associated with the pattern as the first category associated with the received query phrase.
| 0.83177 |
2. The system of claim 1 , wherein the design interface further includes one or more of: a form designer configured to design one or more object forms using the at least one object defined by the data-object designer; a page designer configured to define pages by associating the plurality of objects with a page definition and the one or more object forms; a business object designer configured to develop code for an object of the at least one object capable of being reused by at least one other object of the at least one object; and a message designer.
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2. The system of claim 1 , wherein the design interface further includes one or more of: a form designer configured to design one or more object forms using the at least one object defined by the data-object designer; a page designer configured to define pages by associating the plurality of objects with a page definition and the one or more object forms; a business object designer configured to develop code for an object of the at least one object capable of being reused by at least one other object of the at least one object; and a message designer. 4. The system of claim 2 , wherein the at least one object are configured to be mapped to associated at least one data table and columns.
| 0.95089 |
1. A method in a computer system, the method performed in a lexical knowledge base derived from one or more corpora, the lexical knowledge base comprising a network of nodes each representing a word occurrence in the corpora, the lexical knowledge base having word subgraphs each corresponding to one word and containing text segment subgraphs derived from text segments containing the word, the method characterizing the sense of an occurrence of a polysemous word represented as a node of the lexical knowledge base and comprising the steps of: selecting a word subgraph of the lexical knowledge base corresponding to a first word; identifying within the selected word subgraph a first node representing a first occurrence of a second word, the first node having no word sense characterization; identifying within the selected word subgraph a second node representing a second occurrence of the second word, the second node having a word sense characterization; and copying the word sense characterization of the second node to the first node.
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1. A method in a computer system, the method performed in a lexical knowledge base derived from one or more corpora, the lexical knowledge base comprising a network of nodes each representing a word occurrence in the corpora, the lexical knowledge base having word subgraphs each corresponding to one word and containing text segment subgraphs derived from text segments containing the word, the method characterizing the sense of an occurrence of a polysemous word represented as a node of the lexical knowledge base and comprising the steps of: selecting a word subgraph of the lexical knowledge base corresponding to a first word; identifying within the selected word subgraph a first node representing a first occurrence of a second word, the first node having no word sense characterization; identifying within the selected word subgraph a second node representing a second occurrence of the second word, the second node having a word sense characterization; and copying the word sense characterization of the second node to the first node. 10. The method of claim 1 wherein the identifying steps identify first and second nodes within a proper subset of the paths comprising the selected word subgraph.
| 0.644578 |
16. The mobile communications device of claim 15 , wherein the plurality of proposed primary output items and the plurality of proposed secondary output items comprise proposed linguistic elements.
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16. The mobile communications device of claim 15 , wherein the plurality of proposed primary output items and the plurality of proposed secondary output items comprise proposed linguistic elements. 18. The mobile communications device of claim 16 , wherein the plurality of proposed secondary output items is presented based upon a selected primary output item.
| 0.930495 |
1. A method of providing a floating command object that is contextually relevant to selected text, the method comprising: upon receiving a selection of text in an electronic document for editing, displaying a command object adjacent to the selected text such that at least a portion of the selected text remains visible, the command object providing text editing functionality in response to the selection of the text; displaying in the command object a set of functionality commands that are relevant to editing the selected text, the set of functionality commands being a subset of a broader range of functionality commands available for editing the selected text, wherein displaying in the command object the set of functionality commands comprises displaying the set of functionality commands with a first set of visual representations similar to a second set of visual representations associated with displaying the broader range of functionality commands; associating an opacity of the displayed command object to a distance between an electronic pointer and the displayed command object; and continuing to display the command object after receiving a selection of one of the set of functionality commands.
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1. A method of providing a floating command object that is contextually relevant to selected text, the method comprising: upon receiving a selection of text in an electronic document for editing, displaying a command object adjacent to the selected text such that at least a portion of the selected text remains visible, the command object providing text editing functionality in response to the selection of the text; displaying in the command object a set of functionality commands that are relevant to editing the selected text, the set of functionality commands being a subset of a broader range of functionality commands available for editing the selected text, wherein displaying in the command object the set of functionality commands comprises displaying the set of functionality commands with a first set of visual representations similar to a second set of visual representations associated with displaying the broader range of functionality commands; associating an opacity of the displayed command object to a distance between an electronic pointer and the displayed command object; and continuing to display the command object after receiving a selection of one of the set of functionality commands. 3. The method of claim 1 , wherein continuing to display the command object includes maintaining the command object in its displayed position relative to the selected text until the display of the command object is closed by a user action.
| 0.666754 |
12. A non-transitory computer readable recording medium storing instructions executable by a processor of an electronic device to cause the processor to perform functions including at least: obtaining a message via a messaging program; identifying a first token including a first plurality of alphanumeric characters from the obtained message based at least on the first plurality of alphanumeric characters being in a defined set of alphanumeric characters; identifying and executing a target function program based at least on the first token; based at least on the identified target function program being a schedule management function program: determining a probability of a second plurality of alphanumeric characters from the obtained message being related to a location, determining whether the determined probability is larger than a reference probability, determining the second plurality of alphanumeric characters as being related to the location and identifying a second token including the second plurality of alphanumeric characters related to the location, based at least on the determined probability being larger than the reference probability, obtaining, based at least on the first token and descriptive data of the obtained message, first input data in a first format for specifying a date and a time, obtaining, based at least on the second token, second input data in a second format for specifying the location, and supplying the first input data and the second input data to the schedule management function program so that the first input data and the second input data are automatically presented in an execution screen of the schedule management function program; and based at least on the identified target function program being a phone book function program: presenting the first token and a name associated with a contact entry in an address book in an execution screen of the contact management program based on the first token corresponding to the contact entry in the address book, and presenting the first token in an execution screen of the contact management function program based on the first token being determined to be added to a new contact entry in the address book, wherein the message is communicated through a communication unit.
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12. A non-transitory computer readable recording medium storing instructions executable by a processor of an electronic device to cause the processor to perform functions including at least: obtaining a message via a messaging program; identifying a first token including a first plurality of alphanumeric characters from the obtained message based at least on the first plurality of alphanumeric characters being in a defined set of alphanumeric characters; identifying and executing a target function program based at least on the first token; based at least on the identified target function program being a schedule management function program: determining a probability of a second plurality of alphanumeric characters from the obtained message being related to a location, determining whether the determined probability is larger than a reference probability, determining the second plurality of alphanumeric characters as being related to the location and identifying a second token including the second plurality of alphanumeric characters related to the location, based at least on the determined probability being larger than the reference probability, obtaining, based at least on the first token and descriptive data of the obtained message, first input data in a first format for specifying a date and a time, obtaining, based at least on the second token, second input data in a second format for specifying the location, and supplying the first input data and the second input data to the schedule management function program so that the first input data and the second input data are automatically presented in an execution screen of the schedule management function program; and based at least on the identified target function program being a phone book function program: presenting the first token and a name associated with a contact entry in an address book in an execution screen of the contact management program based on the first token corresponding to the contact entry in the address book, and presenting the first token in an execution screen of the contact management function program based on the first token being determined to be added to a new contact entry in the address book, wherein the message is communicated through a communication unit. 13. The non-transitory computer readable recording medium of claim 12 , wherein the obtained message comprises at least one of a short message, a multimedia message, a voice mail, or an e-mail message.
| 0.561716 |
1. A method of listing documents performed by a website server system having one or more processors and memory storing one or more programs for execution by the one or more processors, comprising: accessing one or more sources of document information, wherein the one or more sources of document information are associated with a website server; extracting the document information including metadata from the sources; generating a sitemap of a website at the website server, the sitemap including a list of documents and corresponding metadata for each of a plurality of documents in the list of documents based on the document information, wherein the metadata comprises at least one of the group consisting of: document modification date information associated with the plurality of documents, document access frequency information associated with the plurality of documents, document priority information associated with the plurality of documents, and document update rate information associated with the plurality of documents, wherein the document priority information indicates a crawling priority; and storing the sitemap at a location; and transmitting a notification from the website server to a remote computer associated with a web crawler system, the notification including information that identifies the location of the sitemap, the notification functioning as an indication that the sitemap is available for access.
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1. A method of listing documents performed by a website server system having one or more processors and memory storing one or more programs for execution by the one or more processors, comprising: accessing one or more sources of document information, wherein the one or more sources of document information are associated with a website server; extracting the document information including metadata from the sources; generating a sitemap of a website at the website server, the sitemap including a list of documents and corresponding metadata for each of a plurality of documents in the list of documents based on the document information, wherein the metadata comprises at least one of the group consisting of: document modification date information associated with the plurality of documents, document access frequency information associated with the plurality of documents, document priority information associated with the plurality of documents, and document update rate information associated with the plurality of documents, wherein the document priority information indicates a crawling priority; and storing the sitemap at a location; and transmitting a notification from the website server to a remote computer associated with a web crawler system, the notification including information that identifies the location of the sitemap, the notification functioning as an indication that the sitemap is available for access. 8. The method of claim 1 , further comprising generating a plurality of sitemaps, and generating an index referencing the plurality of sitemaps; wherein the notification identifies the index.
| 0.677165 |
25. The method of claim 15 in which said step for applying a recursive reduction procedure includes the step of applying a redundant reduction procedure wherein: a determination is made with respect to whether the rule R of said acquired gammar element is an OR rule; where rule R is determined to be an OR rule, then each subrule B thereof, designated as a base subrule, is compared with each other subrule C thereof designated as a compare subrule to determine if the subrule B subsumes the subrule C; and where subrule B subsumes subrule C, then subrule C is removed from the subrules of rule R.
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25. The method of claim 15 in which said step for applying a recursive reduction procedure includes the step of applying a redundant reduction procedure wherein: a determination is made with respect to whether the rule R of said acquired gammar element is an OR rule; where rule R is determined to be an OR rule, then each subrule B thereof, designated as a base subrule, is compared with each other subrule C thereof designated as a compare subrule to determine if the subrule B subsumes the subrule C; and where subrule B subsumes subrule C, then subrule C is removed from the subrules of rule R. 26. The method of claim 25 in which said redundant reduction procedure is the last reduction carried out as part of said step for applying a reduction procedure.
| 0.916356 |
16. A computer-implemented method, comprising: executing, by a first computing device comprising at least one hardware processor, an instance of a video messaging application to provide a live conference call between at least the first computing device and a second computing device, the conference call comprising audio and video communication generated through the first computing device and the second computing device; generating, by the first computing device or the second computing device, a data stream comprising audio data and video data during the live conference call, wherein the audio data embodies speech associated with a first language; causing, by the first computing device, a server to start performance of a language translation using the audio data where the speech associated with the first language is translated to a translation output associated with a second language by: determining a time delay needed for the server to complete the language translation where the speech made in the first language is translated to the translation output; imposing the time delay in a video signal for transmission to the first computing device and the second computing device; converting the speech made in the first language to text; and converting the text to the translation output made in the second language; determining, by the first computing device, that a predefined amount of the speech associated with the first language has been translated to the translation output associated with the second language sufficient to prevent a discontinuity in speech segments; and in response to the predefined amount of the speech having been translated to the translation output, rendering, by the first computing device, the translation output and the video data on the first computing device using the video signal, wherein the video data is rendered in a display associated with the first computing device after an elapse of the time delay and completion of the language translation, wherein the translation output is rendered as text in the display or played as audio on the first computing device.
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16. A computer-implemented method, comprising: executing, by a first computing device comprising at least one hardware processor, an instance of a video messaging application to provide a live conference call between at least the first computing device and a second computing device, the conference call comprising audio and video communication generated through the first computing device and the second computing device; generating, by the first computing device or the second computing device, a data stream comprising audio data and video data during the live conference call, wherein the audio data embodies speech associated with a first language; causing, by the first computing device, a server to start performance of a language translation using the audio data where the speech associated with the first language is translated to a translation output associated with a second language by: determining a time delay needed for the server to complete the language translation where the speech made in the first language is translated to the translation output; imposing the time delay in a video signal for transmission to the first computing device and the second computing device; converting the speech made in the first language to text; and converting the text to the translation output made in the second language; determining, by the first computing device, that a predefined amount of the speech associated with the first language has been translated to the translation output associated with the second language sufficient to prevent a discontinuity in speech segments; and in response to the predefined amount of the speech having been translated to the translation output, rendering, by the first computing device, the translation output and the video data on the first computing device using the video signal, wherein the video data is rendered in a display associated with the first computing device after an elapse of the time delay and completion of the language translation, wherein the translation output is rendered as text in the display or played as audio on the first computing device. 19. The computer-implemented method of claim 16 , further comprising causing the first computing device to show a playback of the video data in a first region of a user interface and show the translation output in a second region of the user interface during the playback of the video data.
| 0.54553 |
1. A computer-implemented process for augmenting a machine translation phrase table with additional phrase pairs each pair of which associates a phrase in a source language with a phrase in a target language, comprising: using a computer to perform the following process actions: inputting one or more syntactic transfer patterns, each of said patterns defining the syntax of a translation to the target language of a different phrase structure in the source language, wherein each source language phrase type represents a phase having a particular syntactic structure that is different from the other source language phrase types; for each inputted syntactic transfer pattern, synthesizing phrases in the source language of the type associated with the pattern under consideration using a lexicon of the source language, eliminating synthesized phrases not found in a monolingual corpus of the source language, for each remaining synthesized phrase, translating the synthesized phrase into the target language using the syntactic transfer pattern under consideration, a bilingual source-to-target language dictionary, and a morphological synthesizer to properly inflect the words of each translated phrase, and for each translated phrase, adding a phrase pair comprising the translated phrase and its corresponding source language phrase to the current version of the phrase table to produce an augmented version of the phrase table.
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1. A computer-implemented process for augmenting a machine translation phrase table with additional phrase pairs each pair of which associates a phrase in a source language with a phrase in a target language, comprising: using a computer to perform the following process actions: inputting one or more syntactic transfer patterns, each of said patterns defining the syntax of a translation to the target language of a different phrase structure in the source language, wherein each source language phrase type represents a phase having a particular syntactic structure that is different from the other source language phrase types; for each inputted syntactic transfer pattern, synthesizing phrases in the source language of the type associated with the pattern under consideration using a lexicon of the source language, eliminating synthesized phrases not found in a monolingual corpus of the source language, for each remaining synthesized phrase, translating the synthesized phrase into the target language using the syntactic transfer pattern under consideration, a bilingual source-to-target language dictionary, and a morphological synthesizer to properly inflect the words of each translated phrase, and for each translated phrase, adding a phrase pair comprising the translated phrase and its corresponding source language phrase to the current version of the phrase table to produce an augmented version of the phrase table. 2. The process of claim 1 , further comprising a process action of eliminating phrase pairs that are already found in a current version of the phrase table, prior to performing the action of adding phrase pairs to the phrase table.
| 0.679725 |
1. A computer-implemented voice user interface system, comprising: an application program interface that supports configuration of a voice user interface that mixes different types of audible dialog prompts, and wherein the application program interface comprises: a first dialog container that includes information for activating, in a predetermined sequence, audible dialog prompts that correspond to a collection of audible dialog elements assigned to the first dialog container, the predetermined sequence being at least partially determined by semantics-driven audible dialog functionality applied by the first dialog container to said collection of audible dialog elements assigned to the first dialog container; a second dialog container that includes information for activating, in a predetermined order, audible dialog prompts that correspond to a collection of audible dialog elements assigned to the second dialog container, the predetermined order being at least partially determined by state-driven audible dialog functionality applied by the second dialog container to said collection of audible dialog elements assigned to the second dialog container; a particular audible dialog element that corresponds to a particular audible dialog prompt, wherein the particular audible dialog element having different property setting requirements depending upon whether included in the collection of audible dialog elements assigned to the first dialog container or the set of audible dialog elements assigned to the second dialog container; and a computer processor that is a component of a computing device, wherein the computer processor processes an implementation of the application program interface and provides a corresponding implementation of the voice user interface by outputting, to a user of the voice user interface system, said audible dialog prompts that correspond to the collection of audible dialog elements assigned to the first dialog container and said audible dialog prompts that correspond to the collection of audible dialog elements assigned to the second dialog container.
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1. A computer-implemented voice user interface system, comprising: an application program interface that supports configuration of a voice user interface that mixes different types of audible dialog prompts, and wherein the application program interface comprises: a first dialog container that includes information for activating, in a predetermined sequence, audible dialog prompts that correspond to a collection of audible dialog elements assigned to the first dialog container, the predetermined sequence being at least partially determined by semantics-driven audible dialog functionality applied by the first dialog container to said collection of audible dialog elements assigned to the first dialog container; a second dialog container that includes information for activating, in a predetermined order, audible dialog prompts that correspond to a collection of audible dialog elements assigned to the second dialog container, the predetermined order being at least partially determined by state-driven audible dialog functionality applied by the second dialog container to said collection of audible dialog elements assigned to the second dialog container; a particular audible dialog element that corresponds to a particular audible dialog prompt, wherein the particular audible dialog element having different property setting requirements depending upon whether included in the collection of audible dialog elements assigned to the first dialog container or the set of audible dialog elements assigned to the second dialog container; and a computer processor that is a component of a computing device, wherein the computer processor processes an implementation of the application program interface and provides a corresponding implementation of the voice user interface by outputting, to a user of the voice user interface system, said audible dialog prompts that correspond to the collection of audible dialog elements assigned to the first dialog container and said audible dialog prompts that correspond to the collection of audible dialog elements assigned to the second dialog container. 2. The system of claim 1 , wherein providing the corresponding implementation of the voice user interface further comprises outputting, to the user of the voice user interface system, both semantics-driven and state-driven audible dialog prompts.
| 0.55364 |
1. A document analysis system comprising: a processor, the processor functioning as: an input unit that receives a document, the document comprising one of structured document or a semi-structured document, renders the received document, and stores the rendered document as an image in a storage unit; a basic layout analysis unit that groups document description elements of the document included in the image that are juxtaposed in a horizontal or vertical direction in the image, relates the grouped document description elements to layout components of the document that describe a layout of the document description elements of the document, and stores the related grouped document description elements and layout components in the storage unit; and an output unit that outputs the layout based on the stored related grouped document description elements and layout components, the layout identifying the layout components, the layout components referencing the grouped document description elements.
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1. A document analysis system comprising: a processor, the processor functioning as: an input unit that receives a document, the document comprising one of structured document or a semi-structured document, renders the received document, and stores the rendered document as an image in a storage unit; a basic layout analysis unit that groups document description elements of the document included in the image that are juxtaposed in a horizontal or vertical direction in the image, relates the grouped document description elements to layout components of the document that describe a layout of the document description elements of the document, and stores the related grouped document description elements and layout components in the storage unit; and an output unit that outputs the layout based on the stored related grouped document description elements and layout components, the layout identifying the layout components, the layout components referencing the grouped document description elements. 5. The document analysis system according to claim 1 , wherein the basic layout analysis unit analyzes a layout of a next hierarchy level by grouping document description elements juxtaposed in a direction orthogonal to the horizontal or vertical direction by referencing an arrangement of the grouped document description elements and a child of the grouped document description elements on a display screen.
| 0.709091 |
1. A method, comprising: receiving, by a graphical editing tool of a computer, a command associated with a graphical editing operation directed to performing a transformation to a graphical object, wherein the transformation is associated with changing a value of a first parameter of the graphical object; displaying, by the graphical editing tool, a transformation object associated with the transformation, wherein the transformation object comprises a second parameter comprising a value associated with the transformation, and wherein the value of the first parameter of the graphical object is related to the value of the second parameter; receiving, by the graphical editing tool, an indication to convert the transformation object into a new parameter of the graphical object; converting, by the graphical editing tool, the transformation object into the new parameter of the graphical object; retaining, by the graphical editing tool, the converted transformation object during operations on other objects; and determining a function that defines the value of the first parameter based upon the value of the second parameter; wherein the new parameter comprises a derived parameter formed from expressions and/or functions that relate the derived parameter to one or more other parameters of the graphical object.
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1. A method, comprising: receiving, by a graphical editing tool of a computer, a command associated with a graphical editing operation directed to performing a transformation to a graphical object, wherein the transformation is associated with changing a value of a first parameter of the graphical object; displaying, by the graphical editing tool, a transformation object associated with the transformation, wherein the transformation object comprises a second parameter comprising a value associated with the transformation, and wherein the value of the first parameter of the graphical object is related to the value of the second parameter; receiving, by the graphical editing tool, an indication to convert the transformation object into a new parameter of the graphical object; converting, by the graphical editing tool, the transformation object into the new parameter of the graphical object; retaining, by the graphical editing tool, the converted transformation object during operations on other objects; and determining a function that defines the value of the first parameter based upon the value of the second parameter; wherein the new parameter comprises a derived parameter formed from expressions and/or functions that relate the derived parameter to one or more other parameters of the graphical object. 14. The method of claim 1 , further comprising: determining a constraint between the graphical object and one or more other graphical objects; and selecting the transformation object for display based at least in part on the determined constraint.
| 0.687474 |
3. A system for controlling audio operation for data management and data rendering among a plurality of devices, the system comprising: a computer processor; a non-transitory computer memory operatively coupled to the computer processor, the computer memory having disposed within it computer program instructions capable of: retrieving a current speech characteristic of a user and context information comprising current device-state information and current geographical coordinates of the plurality of devices; selecting a device from among said plurality of devices to be a selected device, the selection being based upon the current speech characteristic of the user and the context information, wherein the current device-state information indicates a power state of the selected device; selecting one of a plurality of predetermined audio configurations for the selected device in dependence upon the current speech characteristic of the user and the context information; setting audio operation of a data management and data rendering module to the selected predetermined audio configuration; and providing, by the data management and data rendering module, an audio presentation of synthesized data with the audio operation set to the selected predetermined audio configuration; wherein the synthesized data comprises data of disparate types that has been synthesized into data of a uniform data type, the data of disparate types comprising at least one of Really Simple Syndication (RSS) feed text, calendar information, and email text.
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3. A system for controlling audio operation for data management and data rendering among a plurality of devices, the system comprising: a computer processor; a non-transitory computer memory operatively coupled to the computer processor, the computer memory having disposed within it computer program instructions capable of: retrieving a current speech characteristic of a user and context information comprising current device-state information and current geographical coordinates of the plurality of devices; selecting a device from among said plurality of devices to be a selected device, the selection being based upon the current speech characteristic of the user and the context information, wherein the current device-state information indicates a power state of the selected device; selecting one of a plurality of predetermined audio configurations for the selected device in dependence upon the current speech characteristic of the user and the context information; setting audio operation of a data management and data rendering module to the selected predetermined audio configuration; and providing, by the data management and data rendering module, an audio presentation of synthesized data with the audio operation set to the selected predetermined audio configuration; wherein the synthesized data comprises data of disparate types that has been synthesized into data of a uniform data type, the data of disparate types comprising at least one of Really Simple Syndication (RSS) feed text, calendar information, and email text. 13. The system of claim 3 , wherein the selecting of said one of the plurality of predetermined audio configurations in dependence upon the current speech characteristic of the user and said context information includes selecting at least one predetermined audio configuration in dependence upon a native data type of the synthesized data being rendered.
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1. A retrieval system for retrieving document data which have a content specified by an inputted retrieval statement among a plurality of document data, the system comprising: a storage device comprising: a document database that stores the plurality of document data; a concept database that stores a plurality of pre-specified concepts using a hierarchical structure in which a first concept including a second concept is a higher layer of the second concept; a concept extraction rule database that stores concept extraction rules comprising sets of one or more of the keywords and concepts indicating meanings of the one or more keywords, a processor configured for: extracting document concepts on the basis of keywords contained in the respective document data, the document concepts being the concepts corresponding to the document data; extracting a retrieval statement concept on the basis of a keyword contained in the retrieval statement, the retrieval statement concept being the concept corresponding to said retrieval statement; retrieving document data in which the retrieval statement concept is a higher or lower layer of a document concept among the plurality of document data; outputting document data retrieved by a concept retrieving section, as the document data containing the content specified by the retrieval statement; wherein the processor extracts the concept contained in the concept extraction rule as the retrieval statement concept if said retrieval statement comprises the one or more keywords contained in any of the concept extraction rules, wherein the processor extracts the concept contained in the concept extraction rule and uses said concept as the document concept if said document data include the one or more keywords contained in any of the concept extraction rules, and wherein the retrieval system further comprises: a retrieval index database that stores, for each of the document data, an association between the document data and the document concept of the document data extracted by the document data concept extracting section, wherein the concept retrieving section outputs said document data corresponding to the document concept of said document concept stored in the retrieval index database before the retrieval statement is inputted; information storage space storing a synonym database that stores an association between a predetermined word or phrase and the keyword that is a synonym of the word or phrase; a processor configured to perform data normalizing section that normalizes the document data by replacing the word or phrase contained in each of said document data with the keyword that is the synonym of the word or phrase; and information storage space storing a retrieval statement normalizing section that normalizes the retrieval statement by replacing the word or phrase contained in said retrieval statement with the keyword that is the synonym of the word or phrase, wherein the processor extracts the document concept from the normalized document data, and the retrieval statement concept extracting section extracts the retrieval statement concept from the normalized retrieval statement; wherein the processor is configured to: acquire a retrieval statement higher concept that is a higher-layer concept of said retrieval statement concept if the retrieval statement concept does not match the document concept; and output the document data as a retrieval result if the retrieval statement higher concept matches the document concept; wherein: the concept database stores each of said plurality of concepts as a node of the first or second hierarchical structure, the processor extracts the first document concept belonging to the first hierarchical structure and the second document concept belonging to the second hierarchical structure in association with the document data, the processor extracts the retrieval statement concept belonging to the first hierarchical structure and the second retrieval statement concept belonging to the second hierarchical structure in association with the retrieval statement, the processor acquires the first retrieval statement higher concept that is a higher layer of the first retrieval statement concept and the second retrieval statement higher concept that is a higher layer of the second retrieval statement concept if the first retrieval statement concept does not match the first document concept and if the second retrieval statement concept does not match the second document concept, and the processor outputs the first document data as a retrieval result if the number of the first document data in which the first retrieval statement higher concept is the same as the second retrieval statement concept and in which the first document concept is the same as the second document concept is smaller than that of the second document data in which the first retrieval statement higher concept is the same as the second retrieval statement concept and in which the first document concept is the same as the second document concept, or wherein the processor is configured to replace the retrieval statement concept with the retrieval statement lower concept: if all the document data having the document concept that is the same as the retrieval statement concept have the document concept that is the same as a retrieval statement lower concept that is a lower layer of the retrieval statement concept; and outputting the document data in which the retrieval statement lower concept matches the document concept, as a retrieval unit; and wherein: the concept database stores the plurality of concepts that identify a plurality of defects in a product, the document database stores the document data indicating contents of each of the plurality of defects, the retrieval statement concept extracting section extracts the retrieval statement concept corresponding to the retrieval statement used to retrieve said defects in the product, and the processor outputs the document data retrieved, as said document data indicating the contents of the defects in the product inputted by a user; or wherein: the concept database stores the plurality of concepts in a lower layer of the concept indicating that there are defects in components of the product, using a hierarchical structure in which the concepts indicating states of the defects in the components are provided, the document data concept extracting section extracts the document concept indicating that there is a defect in one of the components, on the basis of the keyword contained in the document data, the retrieval statement concept extracting section extracts the retrieval statement concept indicating the state of the defect in the one of said components, on the basis of the keyword contained in the retrieval statement, and wherein the concept retrieving section comprises: a higher concept acquiring section that acquires a retrieval statement higher concept that is the concept indicating that there is the defect in the one of said components, the concept being a higher layer of the retrieval statement concept; and a generalized concept outputting section that outputs, as a retrieval result, the document data having the document concept indicating that there is the defect in the one of the components, the document concept matching the retrieval statement higher concept; and further comprising a component database that uses a hierarchical structure to store inclusive relationships among the components of the product, wherein: the processor further extracts the document concept indicating the component described in the document data, on the basis of the keyword contained in the document data, the processor further extracts the retrieval statement concept indicating the component described in the retrieval statement concept extracting section, on the basis of the keyword contained in the retrieval statement, the processor acquires the concept that is a higher layer of the first retrieval statement concept indicating that there is the defect in the component or a state of the defect in the component, and the concept that is a higher layer of the second retrieval statement concept indicating the component, and the processor outputs, as a retrieval result, the document data having the document concept that matches the first retrieval statement concept and the document concept that matches the second retrieval statement concept if at least one of the first retrieval statement concept and the second retrieval statement concept is the concept in the higher layer; or a product database that uses a hierarchical structure to store inclusive relationships among the names of a plurality of the products, wherein the document data concept extracting section further extracts the document concept indicating the product name described in the document data, on the basis of the keyword contained in said document data, the retrieval statement concept extracting section further extracts the retrieval statement concept indicating the product name described in the retrieval statement concept extracting section, on the basis of the keyword contained in the retrieval statement, the higher concept acquiring section acquires the concept that is a higher layer of the first retrieval statement concept indicating that there is the defect in the component or a state of the defect in the component, and the concept that is a higher layer of the second retrieval statement concept indicating the product name, and the generalized concept outputting section outputs, as a retrieval result, the document data having the document concept that matches the first retrieval statement concept and the document concept that matches the second retrieval statement concept if at least one of the first retrieval statement concept and the second retrieval statement concept is the concept in the higher layer.
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1. A retrieval system for retrieving document data which have a content specified by an inputted retrieval statement among a plurality of document data, the system comprising: a storage device comprising: a document database that stores the plurality of document data; a concept database that stores a plurality of pre-specified concepts using a hierarchical structure in which a first concept including a second concept is a higher layer of the second concept; a concept extraction rule database that stores concept extraction rules comprising sets of one or more of the keywords and concepts indicating meanings of the one or more keywords, a processor configured for: extracting document concepts on the basis of keywords contained in the respective document data, the document concepts being the concepts corresponding to the document data; extracting a retrieval statement concept on the basis of a keyword contained in the retrieval statement, the retrieval statement concept being the concept corresponding to said retrieval statement; retrieving document data in which the retrieval statement concept is a higher or lower layer of a document concept among the plurality of document data; outputting document data retrieved by a concept retrieving section, as the document data containing the content specified by the retrieval statement; wherein the processor extracts the concept contained in the concept extraction rule as the retrieval statement concept if said retrieval statement comprises the one or more keywords contained in any of the concept extraction rules, wherein the processor extracts the concept contained in the concept extraction rule and uses said concept as the document concept if said document data include the one or more keywords contained in any of the concept extraction rules, and wherein the retrieval system further comprises: a retrieval index database that stores, for each of the document data, an association between the document data and the document concept of the document data extracted by the document data concept extracting section, wherein the concept retrieving section outputs said document data corresponding to the document concept of said document concept stored in the retrieval index database before the retrieval statement is inputted; information storage space storing a synonym database that stores an association between a predetermined word or phrase and the keyword that is a synonym of the word or phrase; a processor configured to perform data normalizing section that normalizes the document data by replacing the word or phrase contained in each of said document data with the keyword that is the synonym of the word or phrase; and information storage space storing a retrieval statement normalizing section that normalizes the retrieval statement by replacing the word or phrase contained in said retrieval statement with the keyword that is the synonym of the word or phrase, wherein the processor extracts the document concept from the normalized document data, and the retrieval statement concept extracting section extracts the retrieval statement concept from the normalized retrieval statement; wherein the processor is configured to: acquire a retrieval statement higher concept that is a higher-layer concept of said retrieval statement concept if the retrieval statement concept does not match the document concept; and output the document data as a retrieval result if the retrieval statement higher concept matches the document concept; wherein: the concept database stores each of said plurality of concepts as a node of the first or second hierarchical structure, the processor extracts the first document concept belonging to the first hierarchical structure and the second document concept belonging to the second hierarchical structure in association with the document data, the processor extracts the retrieval statement concept belonging to the first hierarchical structure and the second retrieval statement concept belonging to the second hierarchical structure in association with the retrieval statement, the processor acquires the first retrieval statement higher concept that is a higher layer of the first retrieval statement concept and the second retrieval statement higher concept that is a higher layer of the second retrieval statement concept if the first retrieval statement concept does not match the first document concept and if the second retrieval statement concept does not match the second document concept, and the processor outputs the first document data as a retrieval result if the number of the first document data in which the first retrieval statement higher concept is the same as the second retrieval statement concept and in which the first document concept is the same as the second document concept is smaller than that of the second document data in which the first retrieval statement higher concept is the same as the second retrieval statement concept and in which the first document concept is the same as the second document concept, or wherein the processor is configured to replace the retrieval statement concept with the retrieval statement lower concept: if all the document data having the document concept that is the same as the retrieval statement concept have the document concept that is the same as a retrieval statement lower concept that is a lower layer of the retrieval statement concept; and outputting the document data in which the retrieval statement lower concept matches the document concept, as a retrieval unit; and wherein: the concept database stores the plurality of concepts that identify a plurality of defects in a product, the document database stores the document data indicating contents of each of the plurality of defects, the retrieval statement concept extracting section extracts the retrieval statement concept corresponding to the retrieval statement used to retrieve said defects in the product, and the processor outputs the document data retrieved, as said document data indicating the contents of the defects in the product inputted by a user; or wherein: the concept database stores the plurality of concepts in a lower layer of the concept indicating that there are defects in components of the product, using a hierarchical structure in which the concepts indicating states of the defects in the components are provided, the document data concept extracting section extracts the document concept indicating that there is a defect in one of the components, on the basis of the keyword contained in the document data, the retrieval statement concept extracting section extracts the retrieval statement concept indicating the state of the defect in the one of said components, on the basis of the keyword contained in the retrieval statement, and wherein the concept retrieving section comprises: a higher concept acquiring section that acquires a retrieval statement higher concept that is the concept indicating that there is the defect in the one of said components, the concept being a higher layer of the retrieval statement concept; and a generalized concept outputting section that outputs, as a retrieval result, the document data having the document concept indicating that there is the defect in the one of the components, the document concept matching the retrieval statement higher concept; and further comprising a component database that uses a hierarchical structure to store inclusive relationships among the components of the product, wherein: the processor further extracts the document concept indicating the component described in the document data, on the basis of the keyword contained in the document data, the processor further extracts the retrieval statement concept indicating the component described in the retrieval statement concept extracting section, on the basis of the keyword contained in the retrieval statement, the processor acquires the concept that is a higher layer of the first retrieval statement concept indicating that there is the defect in the component or a state of the defect in the component, and the concept that is a higher layer of the second retrieval statement concept indicating the component, and the processor outputs, as a retrieval result, the document data having the document concept that matches the first retrieval statement concept and the document concept that matches the second retrieval statement concept if at least one of the first retrieval statement concept and the second retrieval statement concept is the concept in the higher layer; or a product database that uses a hierarchical structure to store inclusive relationships among the names of a plurality of the products, wherein the document data concept extracting section further extracts the document concept indicating the product name described in the document data, on the basis of the keyword contained in said document data, the retrieval statement concept extracting section further extracts the retrieval statement concept indicating the product name described in the retrieval statement concept extracting section, on the basis of the keyword contained in the retrieval statement, the higher concept acquiring section acquires the concept that is a higher layer of the first retrieval statement concept indicating that there is the defect in the component or a state of the defect in the component, and the concept that is a higher layer of the second retrieval statement concept indicating the product name, and the generalized concept outputting section outputs, as a retrieval result, the document data having the document concept that matches the first retrieval statement concept and the document concept that matches the second retrieval statement concept if at least one of the first retrieval statement concept and the second retrieval statement concept is the concept in the higher layer. 9. The retrieval system according to claim 1 , wherein: said concept database stores said plurality of concepts in a lower layer of said concept indicating that there are defects in components of the said product, using a hierarchical structure in which said concepts indicating states of the defects in the components are provided, said document data concept extracting section extracts said document concept indicating that there is a defect in one of said components, on the basis of the keyword contained in said document data, said retrieval statement concept extracting section extracts said retrieval statement concept indicating the state of the defect in said one of said components, on the basis of the keyword contained in said retrieval statement, and said concept retrieving section comprises: a higher concept acquiring section that acquires a retrieval statement higher concept that is said concept indicating that there is the defect in said one of said components, the concept being a higher layer of said retrieval statement concept; and a generalized concept outputting section that outputs, as a retrieval result, said document data having said document concept indicating that there is the defect in said one of said components, the document concept matching said retrieval statement higher concept.
| 0.608326 |
2. A method comprising: under control of one or more computer systems configured with specific executable instructions, determining one or more items that are related to a particular item within an electronic catalog; determining tags that are associated with the one or more related items; assigning weights to the tags that are associated with the one or more related items based at least in part on whether each of the tags was already associated with the particular item; ranking the tags that are associated with the one or more related items based at least in part on the assigned weights; and suggesting that one or more of the tags associated with the one or more related items be associated with the particular item based at least in part on the rankings of the tags.
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2. A method comprising: under control of one or more computer systems configured with specific executable instructions, determining one or more items that are related to a particular item within an electronic catalog; determining tags that are associated with the one or more related items; assigning weights to the tags that are associated with the one or more related items based at least in part on whether each of the tags was already associated with the particular item; ranking the tags that are associated with the one or more related items based at least in part on the assigned weights; and suggesting that one or more of the tags associated with the one or more related items be associated with the particular item based at least in part on the rankings of the tags. 3. A method as recited in claim 2 , wherein the one or more related items and the particular item comprise items for sale on a merchant website.
| 0.809783 |
15. A computer-readable storage device having instructions stored which, when executed on a computing device, cause the computing device to perform operations comprising: identifying segments of a dialog system based on a timing of probable user responses; exclusively activating a weighted grammar for a specific segment of dialog in the dialog system during the specific segment of the dialog, to yield an activated weighted grammar; and recognizing user speech received during the specific segment using the activated weighted grammar.
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15. A computer-readable storage device having instructions stored which, when executed on a computing device, cause the computing device to perform operations comprising: identifying segments of a dialog system based on a timing of probable user responses; exclusively activating a weighted grammar for a specific segment of dialog in the dialog system during the specific segment of the dialog, to yield an activated weighted grammar; and recognizing user speech received during the specific segment using the activated weighted grammar. 20. The computer-readable storage device of claim 15 , wherein two identified segments are associated with the weighted grammar.
| 0.727848 |
10. A method of administering a social choice survey to members of an online community associated with a computer network, the method comprising: generating a first user interface on a display associated with a survey administrator; prompting the survey administrator with the first user interface to define the social choice survey type selected from a slider bar survey, a yes/no survey, a drag and drop survey, and a select one survey; receiving the social choice survey defined by the survey administrator with the first user interface at a social choice administrator server; prompting the survey administrator with the first user interface to define a group of participants from the members of the online community to participate in the social choice survey, wherein the group of participants consists of friends of a single user on a social media website; receiving the group of participants defined by the survey administrator with the first user interface at the social choice administrator server; generating a second user interface on a display associated with each of the participants, the second user interface providing an interactive portion to receive a participant's response to the social choice survey and being posted on each participant's social media account on the social media website; receiving and registering each of the participant's responses to the social choice survey entered through second user interface at the social choice administrator server; prompting the survey administrator to view and to select a progress of the social choice survey; in response to the selection of the progress of the social choice survey, generating a display of the progress of the social choice survey, including at least one of a list of participants who have participated in the social choice survey and a list of participants who have not participated in the social choice survey in response to a request by the survey administrator; amalgamating the participants' responses to the social choice survey to thereby determine a result of the social choice survey using the social choice administrator server; and generating a display of the result of the social choice survey on a computer display of the survey administrator.
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10. A method of administering a social choice survey to members of an online community associated with a computer network, the method comprising: generating a first user interface on a display associated with a survey administrator; prompting the survey administrator with the first user interface to define the social choice survey type selected from a slider bar survey, a yes/no survey, a drag and drop survey, and a select one survey; receiving the social choice survey defined by the survey administrator with the first user interface at a social choice administrator server; prompting the survey administrator with the first user interface to define a group of participants from the members of the online community to participate in the social choice survey, wherein the group of participants consists of friends of a single user on a social media website; receiving the group of participants defined by the survey administrator with the first user interface at the social choice administrator server; generating a second user interface on a display associated with each of the participants, the second user interface providing an interactive portion to receive a participant's response to the social choice survey and being posted on each participant's social media account on the social media website; receiving and registering each of the participant's responses to the social choice survey entered through second user interface at the social choice administrator server; prompting the survey administrator to view and to select a progress of the social choice survey; in response to the selection of the progress of the social choice survey, generating a display of the progress of the social choice survey, including at least one of a list of participants who have participated in the social choice survey and a list of participants who have not participated in the social choice survey in response to a request by the survey administrator; amalgamating the participants' responses to the social choice survey to thereby determine a result of the social choice survey using the social choice administrator server; and generating a display of the result of the social choice survey on a computer display of the survey administrator. 18. The method of claim 10 , further comprising amalgamating the participants' responses to the social choice survey using a single-winner election algorithm.
| 0.583424 |
9. The method according to claim 1 , wherein: said first access rule is a member of a set of specific access rules; said set of specific access rules is associated with a group of resources; said group of resources includes a default access rule for resources not associated with any specific access rule; and said step of using said query portion includes identifying said first access rule from other access rules in said set of specific access rules.
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9. The method according to claim 1 , wherein: said first access rule is a member of a set of specific access rules; said set of specific access rules is associated with a group of resources; said group of resources includes a default access rule for resources not associated with any specific access rule; and said step of using said query portion includes identifying said first access rule from other access rules in said set of specific access rules. 10. The method according to claim 9 , further comprising the step of: using said absolute portion to identify said group of resources.
| 0.866396 |
24. The method of claim 21 , wherein communicating the aggregated set of social media content items comprises: communicating, by the one or more physical processors, a user interface comprising a plurality of user-manipulable views of the aggregated set of social media content items.
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24. The method of claim 21 , wherein communicating the aggregated set of social media content items comprises: communicating, by the one or more physical processors, a user interface comprising a plurality of user-manipulable views of the aggregated set of social media content items. 25. The method of claim 24 , wherein the plurality of user-manipulable views comprise a map view, the method further comprising: spatially arranging, by the one or more physical processors, the aggregated set of social media content items on the map view.
| 0.94234 |
18. The system of claim 1 , wherein each individual display piece comprises a partial image display piece, each partial image display piece comprising a portion of the one graphical image associated with the set of display pieces containing that individual display piece and at least one of the graphemes constituting the unique name associated with that graphical image.
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18. The system of claim 1 , wherein each individual display piece comprises a partial image display piece, each partial image display piece comprising a portion of the one graphical image associated with the set of display pieces containing that individual display piece and at least one of the graphemes constituting the unique name associated with that graphical image. 20. The system of claim 18 , wherein each partial image display piece comprises a unique portion of the graphical image.
| 0.904068 |
24. The apparatus of claim 15 , which comprises a user interface receiving a communication from a user, the communication defining the at least one reference word, the interrogation module identifying at least one rule associated with the at least one reference word, the at least one reference word and the at least one rule being stored in the reference database for interrogation when the incoming call is received.
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24. The apparatus of claim 15 , which comprises a user interface receiving a communication from a user, the communication defining the at least one reference word, the interrogation module identifying at least one rule associated with the at least one reference word, the at least one reference word and the at least one rule being stored in the reference database for interrogation when the incoming call is received. 26. The apparatus of claim 24 , wherein a plurality of configuration options are communicated to the user via the Internet using a web interface, responses received from the user being stored in the reference database as reference words and associated rules.
| 0.804427 |
6. A method comprising: receiving a first query from a first user; defining a default order of processing constraints identified in the first query, each constraint representing a characteristic of an object or action in the first query; categorizing each constraint by constraint type, wherein the constraint type is selected from the group consisting of: string, binary, scalar, and ontology constraint types, and wherein each constraint type dictates how a corresponding constraint is modified by a modification strategy; defining an optimum value range specifying an optimum number of results returned in response to the first query; applying a first selected modification strategy to one or more constraints in accordance with the default order to generate a modified constraint if a number of results returned in response to the first query is not within the optimum value range, the first selected modification strategy comprising at least one of: relaxing a constraint, removing a constraint, tightening a constraint, and adding a constraint, wherein the first selected modification strategy is selected based on factors comprising at least one of: the number of results for the first query, ontological information of the first query, prosodic information of the first query, and information from a first user model associated with the first user; processing the first query to obtain a number of results for the query; processing a first re-query based on the modified constraint to obtain a second number of results; applying one of a different modification strategy to a same constraint or a second modification strategy to a subsequent constraint in the default order if the number of results for the first re-query is not within the defined value range; receiving a second query from a second user, different from the first user; consulting information from a second user model associated with the second user to select a third modification strategy to be applied to the second query, wherein the second query is the same as the first query, and the third selected modification strategy is different from the first selected modification strategy because the information from the second user model is different from the information from the first user model.
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6. A method comprising: receiving a first query from a first user; defining a default order of processing constraints identified in the first query, each constraint representing a characteristic of an object or action in the first query; categorizing each constraint by constraint type, wherein the constraint type is selected from the group consisting of: string, binary, scalar, and ontology constraint types, and wherein each constraint type dictates how a corresponding constraint is modified by a modification strategy; defining an optimum value range specifying an optimum number of results returned in response to the first query; applying a first selected modification strategy to one or more constraints in accordance with the default order to generate a modified constraint if a number of results returned in response to the first query is not within the optimum value range, the first selected modification strategy comprising at least one of: relaxing a constraint, removing a constraint, tightening a constraint, and adding a constraint, wherein the first selected modification strategy is selected based on factors comprising at least one of: the number of results for the first query, ontological information of the first query, prosodic information of the first query, and information from a first user model associated with the first user; processing the first query to obtain a number of results for the query; processing a first re-query based on the modified constraint to obtain a second number of results; applying one of a different modification strategy to a same constraint or a second modification strategy to a subsequent constraint in the default order if the number of results for the first re-query is not within the defined value range; receiving a second query from a second user, different from the first user; consulting information from a second user model associated with the second user to select a third modification strategy to be applied to the second query, wherein the second query is the same as the first query, and the third selected modification strategy is different from the first selected modification strategy because the information from the second user model is different from the information from the first user model. 8. The method of claim 6 wherein the ontological information comprises a hierarchical structure comprising a domain type, a plurality of subtypes, and a plurality of sub-subtypes, wherein the plurality of subtypes are at a level below the domain type, and the plurality of sub-subtypes are at a level below the plurality of subtypes.
| 0.8335 |
3. The process of claim 2 wherein said computer displays said tools in the form of diagrams and textual interactive dialogs of a graphical modeling environment which causes said editor program to act as a graphical editor for said Formal Specification, said computer being controlled by said graphical editor to display tools which are structured to allow said designer to enter requirements data defining an Object Model, a Dynamic Model, a Functional Model and a Presentation Model, and wherein said Object Model stores requirements data which defines a class architecture for said application program via class definitions for classes in said application program, and wherein said Dynamic Model stores requirements data which specifies the behavior of objects in said classes in response to the execution of services, triggers and global transactions wherein said behavior is specified by said designer entering requirements data in a state transition diagram and an object interaction diagram, and wherein said Functional Model store requirements data which defines the semantics of any change of an object's state for all objects in said classes defined in said Object Model, said computer displaying textual interactive dialogs which allow said designer to enter requirements data to specify a class, an attribute of said class and event, i.e., a single service of said class, and define a mathematical or logical formula that defines how the attribute's value will be changed when said event happens, and wherein said Presentation Model stores requirements data which selects patterns from a pattern language and selects and articulates elemental patterns which further define the selected patterns.
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3. The process of claim 2 wherein said computer displays said tools in the form of diagrams and textual interactive dialogs of a graphical modeling environment which causes said editor program to act as a graphical editor for said Formal Specification, said computer being controlled by said graphical editor to display tools which are structured to allow said designer to enter requirements data defining an Object Model, a Dynamic Model, a Functional Model and a Presentation Model, and wherein said Object Model stores requirements data which defines a class architecture for said application program via class definitions for classes in said application program, and wherein said Dynamic Model stores requirements data which specifies the behavior of objects in said classes in response to the execution of services, triggers and global transactions wherein said behavior is specified by said designer entering requirements data in a state transition diagram and an object interaction diagram, and wherein said Functional Model store requirements data which defines the semantics of any change of an object's state for all objects in said classes defined in said Object Model, said computer displaying textual interactive dialogs which allow said designer to enter requirements data to specify a class, an attribute of said class and event, i.e., a single service of said class, and define a mathematical or logical formula that defines how the attribute's value will be changed when said event happens, and wherein said Presentation Model stores requirements data which selects patterns from a pattern language and selects and articulates elemental patterns which further define the selected patterns. 5. The process of claim 3 further comprising the step of controlling said computer with a validator program to carry out a validation process to validate said Formal Specification by checking each statement in said Formal Specification against a set of validation rules stored in said computer and bringing errors to the attention of said designer for correction, said validation rules being based upon the syntax and semantics of whatever formal specification language was used to write said Formal Specification, said computer also using said validation rules to validate every inter-class action between any class defined in said Formal Specification, said validation process ensuring said Formal Specification is complete and correct.
| 0.706842 |
15. A computer program product comprising a non-transitory computer readable medium having encoded thereon computer executable instructions for composing a reply to a message, said computer executable instructions comprising: instructions to display a scrollable message composition window showing the reply, wherein the reply includes a primary area and a secondary area, and wherein the secondary area includes a copy of the message; instructions to detect a first event when the message composition window has been scrolled such that the primary area of the reply is not visible; instructions to display an overlay in response to the first event, the overlay including an input area for the input of elements; instructions to detect a second event; and instructions to remove the overlay and insert the elements entered in the input area of the overlay into the primary area of the reply in response to the second event.
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15. A computer program product comprising a non-transitory computer readable medium having encoded thereon computer executable instructions for composing a reply to a message, said computer executable instructions comprising: instructions to display a scrollable message composition window showing the reply, wherein the reply includes a primary area and a secondary area, and wherein the secondary area includes a copy of the message; instructions to detect a first event when the message composition window has been scrolled such that the primary area of the reply is not visible; instructions to display an overlay in response to the first event, the overlay including an input area for the input of elements; instructions to detect a second event; and instructions to remove the overlay and insert the elements entered in the input area of the overlay into the primary area of the reply in response to the second event. 18. The computer program product of claim 15 further including instructions for showing a preview of the message composition window with the elements inserted before said elements are inserted into the message composition window.
| 0.5 |
7. A method of selecting a communication network, comprising: generating context-aware profile information, based on communication situations of an area in which a vehicle is located and information which is set by a driver; calculating weights for respective recommended connection parameters selected based on the context-aware profile information; verifying a communication network connection method set by the driver using the context-aware profile information; and selecting an optimal communication network in the area in which the vehicle is located, based on the communication network connection method set by the driver and the calculated weights; wherein the selecting the optimal communication network comprises: determining whether automatic connection mode or manual connection mode has been set using the context-aware profile information; and if it is determined that the automatic connection mode has been set, determining whether a recommended connection or a priority connection has been set up; and the method further comprising: calculating the weights using relative comparison of an Analytic Hierarchy Process (AHP) technique; and generating ranking scores of communication networks for each of the recommended connection parameters, and storing the ranking scores in a parameter-based ranking score table; wherein the generating the ranking scores depends at least partly on differences between importance scores associated with each of the respective recommended connection parameters, the importance scores including scores associated with an importance of cost information determined based on a transfer rate and cost information of a current network, and individual scores changeable based on user input.
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7. A method of selecting a communication network, comprising: generating context-aware profile information, based on communication situations of an area in which a vehicle is located and information which is set by a driver; calculating weights for respective recommended connection parameters selected based on the context-aware profile information; verifying a communication network connection method set by the driver using the context-aware profile information; and selecting an optimal communication network in the area in which the vehicle is located, based on the communication network connection method set by the driver and the calculated weights; wherein the selecting the optimal communication network comprises: determining whether automatic connection mode or manual connection mode has been set using the context-aware profile information; and if it is determined that the automatic connection mode has been set, determining whether a recommended connection or a priority connection has been set up; and the method further comprising: calculating the weights using relative comparison of an Analytic Hierarchy Process (AHP) technique; and generating ranking scores of communication networks for each of the recommended connection parameters, and storing the ranking scores in a parameter-based ranking score table; wherein the generating the ranking scores depends at least partly on differences between importance scores associated with each of the respective recommended connection parameters, the importance scores including scores associated with an importance of cost information determined based on a transfer rate and cost information of a current network, and individual scores changeable based on user input. 14. The method of claim 7 , further comprising generating the ranking scores by calculating relative comparison scores associated with differences between signal strengths of respective communication networks compared to a reference value.
| 0.594588 |
5. A non-transitory computer-readable medium encoded with instructions, that when executed by one or more computing devices, cause the one or more computing devices to perform a method comprising: applying a plurality of view-based classifiers to a digital image, wherein each classifier corresponds to a respective portion of the digital image and is configured to determine whether at least a portion of a type of object is within the respective portion of the digital image to which the classifier is applied; computing, based on the applying, a sum of a plurality of log-likelihood ratios for the plurality of view-based classifiers, each log-likelihood ratio of the plurality of log-likelihood ratios being for a respective classifier of the plurality of view-based classifiers and including a ratio of two graphical probability models, a graphical probability model including a probability distribution over a set of variables where statistical independence and conditional statistical independence exist among various combinations of the variables, and wherein the graphical probability model is a probability distribution representation derived from statistical dependencies among image input variables; determining that the type of object is within the digital image based on the sum satisfying a first predetermined threshold; identifying a detection location of the type of object within the digital image based on respective locations within the digital image to which the plurality of classifiers were applied and the plurality of log-likelihood ratios for the plurality of classifiers; and displaying a marked-up version of the digital image identifying the identified detection location of the type of object within the digital image.
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5. A non-transitory computer-readable medium encoded with instructions, that when executed by one or more computing devices, cause the one or more computing devices to perform a method comprising: applying a plurality of view-based classifiers to a digital image, wherein each classifier corresponds to a respective portion of the digital image and is configured to determine whether at least a portion of a type of object is within the respective portion of the digital image to which the classifier is applied; computing, based on the applying, a sum of a plurality of log-likelihood ratios for the plurality of view-based classifiers, each log-likelihood ratio of the plurality of log-likelihood ratios being for a respective classifier of the plurality of view-based classifiers and including a ratio of two graphical probability models, a graphical probability model including a probability distribution over a set of variables where statistical independence and conditional statistical independence exist among various combinations of the variables, and wherein the graphical probability model is a probability distribution representation derived from statistical dependencies among image input variables; determining that the type of object is within the digital image based on the sum satisfying a first predetermined threshold; identifying a detection location of the type of object within the digital image based on respective locations within the digital image to which the plurality of classifiers were applied and the plurality of log-likelihood ratios for the plurality of classifiers; and displaying a marked-up version of the digital image identifying the identified detection location of the type of object within the digital image. 18. The non-transitory computer-readable medium of claim 5 , wherein each respective portion of the digital image is a fixed-sized window sampled from the digital image , the method further comprising: applying the plurality of view-based classifiers to the digital image at regularly spaced and overlapping positions of the fixed-sized window.
| 0.541193 |
2. The device of claim 1, further comprising control means connected to the pen sense control means and the display control means for alternately enabling the pen sense control means to produce position signals, so as to provide input pen position sensing at a sufficiently rapid rate to accommodate high input resolution for graphics, and enabling the display control means to energize the selected display elements, so as to refresh the display elements at a frequency sufficient to avoid humanly perceivable flicker.
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2. The device of claim 1, further comprising control means connected to the pen sense control means and the display control means for alternately enabling the pen sense control means to produce position signals, so as to provide input pen position sensing at a sufficiently rapid rate to accommodate high input resolution for graphics, and enabling the display control means to energize the selected display elements, so as to refresh the display elements at a frequency sufficient to avoid humanly perceivable flicker. 5. The device of claim 2, further comprising: a plurality of function select regions incorporated into the display means, the regions being selectively activated by the user touching a given region with the input pen means, the pen sense control means being responsive to the given region being touched for producing a position signal indicative of a selected function; and file management means connected to the control means and responsive to the position signal indicative of the selected function for executing a predetermined routine.
| 0.8453 |
29. The method claim 25 further comprising: identifying a document preparer from the document preparer identification data included in the other search request; assigning the first accuracy rating or the second accuracy rating to the document preparer of the predictive document data; and storing the accuracy rating for the document preparer in the memory; retrieving a plurality of accuracy ratings from the memory for the document preparer; and calculating an average accuracy percentage for the document preparer based on the plurality accuracy ratings assigned to the document over a time period.
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29. The method claim 25 further comprising: identifying a document preparer from the document preparer identification data included in the other search request; assigning the first accuracy rating or the second accuracy rating to the document preparer of the predictive document data; and storing the accuracy rating for the document preparer in the memory; retrieving a plurality of accuracy ratings from the memory for the document preparer; and calculating an average accuracy percentage for the document preparer based on the plurality accuracy ratings assigned to the document over a time period. 30. The method claim 29 further comprising: receiving input comprising a selected time period from a user; and calculating the average accuracy percentage for the document preparer based on the plurality accuracy ratings assigned to the document over the selected time period.
| 0.914245 |
3. The method of claim 1 , further comprising: determining a match count for the query term substitution rule, wherein the match count for the query term substitution rule indicates a quantity of revised search queries that (i) were generated using the query term substitution rule to include the query term and the substitute term, and (ii) were each used in identifying a respective set of search results, one or more of which were associated with text that included the substitute term.
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3. The method of claim 1 , further comprising: determining a match count for the query term substitution rule, wherein the match count for the query term substitution rule indicates a quantity of revised search queries that (i) were generated using the query term substitution rule to include the query term and the substitute term, and (ii) were each used in identifying a respective set of search results, one or more of which were associated with text that included the substitute term. 4. The method of claim 3 , further comprising: determining that a no-match ratio between the no-match score and the query count does not satisfy a no-match ratio threshold; determining that a click ratio between the click score and the match count does not satisfy a click ratio threshold; and in response to determining that (i) the no-match ratio does not satisfy the no-match ratio threshold and (ii) the click ratio does not satisfy the click ratio threshold, removing the query term substitution rule.
| 0.857584 |
10. The method of claim 1 , which performed by a mobile device.
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10. The method of claim 1 , which performed by a mobile device. 13. The method of claim 10 , wherein the mobile device comprises a camera and the one or more initial images and the additional image are acquired by said camera.
| 0.952877 |
7. A method as described in claim 1 further comprising rendering a suggestion to said user for said user to try a particular application and further suggesting its keyword, said rendering the suggestion being performed before said audibly prompting the user.
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7. A method as described in claim 1 further comprising rendering a suggestion to said user for said user to try a particular application and further suggesting its keyword, said rendering the suggestion being performed before said audibly prompting the user. 9. A method as described in claim 7 wherein said suggestion is rotated to suggest keywords not yet selected by said user.
| 0.920076 |
1. A computer-implemented method comprising: a) accepting, with an advertising system including at least one computer, information defining at least one ad spot associated with at least one instance of an audio document; b) accepting, with the advertising system, offers to have advertisements served in the at least one ad spot; c) arbitrating, with the advertising system, among competing advertisements, using at least the offers, to determine at least one advertisement to be served in that at least one ad spot; d) transmitting, with the advertising system, the audio document for delivery to an end user client device; and e) transmitting, with the advertising system, the at least one advertisement to be served in that at least one ad spot, for delivery to the end user client device, wherein the act of arbitrating occurs after the act of transmitting the audio document has been initiated.
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1. A computer-implemented method comprising: a) accepting, with an advertising system including at least one computer, information defining at least one ad spot associated with at least one instance of an audio document; b) accepting, with the advertising system, offers to have advertisements served in the at least one ad spot; c) arbitrating, with the advertising system, among competing advertisements, using at least the offers, to determine at least one advertisement to be served in that at least one ad spot; d) transmitting, with the advertising system, the audio document for delivery to an end user client device; and e) transmitting, with the advertising system, the at least one advertisement to be served in that at least one ad spot, for delivery to the end user client device, wherein the act of arbitrating occurs after the act of transmitting the audio document has been initiated. 7. The computer-implemented method of claim 1 wherein the audio document is a segment of an audio conversation.
| 0.61747 |
1. A system, comprising: a text recognition component configured for recognition of text on a sequence of video frames, the text recognition component configured to receive a selected frame of the sequence of video frames and perform text recognition processing of the selected frame to output a selected frame result; a tracker component configured to select a keyframe from the sequence of video frames based on stability criteria applied to incoming frames and to establish a reference coordinate system relative to the selected keyframe, the selected frame result mapped back to the reference coordinate system of the keyframe, the tracker component configured to apply keyframe coordinates to subsequent video frames to enable accumulation of best results for text recognition rendering and viewing; and a microprocessor configured to execute computer-executable instructions associated with at least one of the text recognition component or the tracker component.
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1. A system, comprising: a text recognition component configured for recognition of text on a sequence of video frames, the text recognition component configured to receive a selected frame of the sequence of video frames and perform text recognition processing of the selected frame to output a selected frame result; a tracker component configured to select a keyframe from the sequence of video frames based on stability criteria applied to incoming frames and to establish a reference coordinate system relative to the selected keyframe, the selected frame result mapped back to the reference coordinate system of the keyframe, the tracker component configured to apply keyframe coordinates to subsequent video frames to enable accumulation of best results for text recognition rendering and viewing; and a microprocessor configured to execute computer-executable instructions associated with at least one of the text recognition component or the tracker component. 5. The system of claim 1 , further comprising a conflation component configured to combine the selected frame result with a previously-accumulated frame result of another frame of the sequence of video frames.
| 0.519924 |
6. A system comprising: one or more computers; and a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving in a computer system a search query; determining, for each web page in a plurality of web pages that satisfy a search query and have a position in a ranked order of web pages that satisfy the search query, whether the web page is a reference page for a book, wherein a particular web page is determined to be a reference page for a particular book when (i) the web page includes a reference to the particular book and has a citation score that satisfies a citation criterion for the particular book, (ii) a citation score of the web page for the particular book exceeds a citation threshold, and (iii) citation scores of the web page for other books referenced on the web page are each less than the citation score for the particular book, wherein the citation score is a measure of relevance of book metadata for the particular book to content of the web page; selecting, from among the web pages, a subset of web pages that are each a reference page for a respective book; assigning a book score to each of the books for which there is at least one reference page in the subset of web pages, where each of the reference pages in the subset referencing a respective book contributes to the book score for the respective book; selecting one or more of the books based on the book scores; generating a book reference for each of the one or more books, wherein each book reference includes at least one of citation information of the respective book or a link to a page of the respective book; and providing, in a response to the search query the book references in addition to one or more web content references, each web content reference linking to one of the plurality of web pages.
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6. A system comprising: one or more computers; and a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving in a computer system a search query; determining, for each web page in a plurality of web pages that satisfy a search query and have a position in a ranked order of web pages that satisfy the search query, whether the web page is a reference page for a book, wherein a particular web page is determined to be a reference page for a particular book when (i) the web page includes a reference to the particular book and has a citation score that satisfies a citation criterion for the particular book, (ii) a citation score of the web page for the particular book exceeds a citation threshold, and (iii) citation scores of the web page for other books referenced on the web page are each less than the citation score for the particular book, wherein the citation score is a measure of relevance of book metadata for the particular book to content of the web page; selecting, from among the web pages, a subset of web pages that are each a reference page for a respective book; assigning a book score to each of the books for which there is at least one reference page in the subset of web pages, where each of the reference pages in the subset referencing a respective book contributes to the book score for the respective book; selecting one or more of the books based on the book scores; generating a book reference for each of the one or more books, wherein each book reference includes at least one of citation information of the respective book or a link to a page of the respective book; and providing, in a response to the search query the book references in addition to one or more web content references, each web content reference linking to one of the plurality of web pages. 10. The system of claim 6 , wherein the operations further comprise: providing the book references in a web page in which the book references will be displayed distinctively from other search results.
| 0.502928 |
1. A method for performing at least one task using execution of a software component out of a plurality of software components on a computing device for at least one user involving at least one domain, the method comprising: representing by the computing device at least one user goal with respect to the domain, the goal represented being independent of tasks which the plurality of software components can perform; representing by the computing device at least one task which can be accomplished by the software component in the domain independent of stated user goals; establishing by the computing device an association between at least one linguistic or pragmatic item and the at least one user goal, the at least one linguistic or pragmatic item having an association with the task; inferring by the computing device using the associations that the software component which can accomplish the at least one task is appropriate out of the plurality of software components for achieving the at least one user goal; and performing the at least one task for the user by the computing device executing the software component.
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1. A method for performing at least one task using execution of a software component out of a plurality of software components on a computing device for at least one user involving at least one domain, the method comprising: representing by the computing device at least one user goal with respect to the domain, the goal represented being independent of tasks which the plurality of software components can perform; representing by the computing device at least one task which can be accomplished by the software component in the domain independent of stated user goals; establishing by the computing device an association between at least one linguistic or pragmatic item and the at least one user goal, the at least one linguistic or pragmatic item having an association with the task; inferring by the computing device using the associations that the software component which can accomplish the at least one task is appropriate out of the plurality of software components for achieving the at least one user goal; and performing the at least one task for the user by the computing device executing the software component. 11. The method of claim 1 , further comprising annotating by the computing device, a history of user inputs and system outputs of the computing device, with at least one annotation comprising: a paraphrase of a user input, an interpretation of a user input, a set of working assumptions held by the computing device, or changes of assumptions held by the computing device.
| 0.633198 |
3. The method of claim 1 , wherein the lexicographical data comprises a score for a first word determined by comparing a number of times the first word appears in the body text with a number of times the first word appears in a corpus of books.
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3. The method of claim 1 , wherein the lexicographical data comprises a score for a first word determined by comparing a number of times the first word appears in the body text with a number of times the first word appears in a corpus of books. 4. The method of claim 3 , wherein the score for the first word is determined using a term frequency-inverse document frequency algorithm.
| 0.775983 |
8. A computer system comprising: a hardware central processing unit (CPU); a memory coupled to said CPU; and a computer-readable, tangible storage device coupled to said CPU, said storage device containing instructions that when carried out by said CPU via said memory implement a method of presenting choices of different translations of a message and corresponding interpretations of said different translations, said method comprising: said computer system receiving said message input by a first user (sender) to be sent to a second user (recipient); said computer system receiving an indication of a culture of said recipient; based on said received indication of said culture of said recipient, said computer system retrieving different translations of said message and respective levels of formality of said different translations, said levels of formality being levels of politeness that said culture of said recipient respectively associates with said different translations of said message; said computer system presenting to said sender choices of said different translations of said message and said levels of formality, wherein said different translations are in a language understood by said recipient; said computer system receiving a selection by said sender of a translation included in said different translations, wherein said selection of said translation is based on a review by said sender of said presented choices of said different translations and said levels of formality by said sender; subsequent to said receiving said selection of said translation, said computer system searching a data repository for and subsequently finding in said data repository a gesture which is part of said culture of said recipient and which communicates at least a part of said translation, adds a meaning to said translation, removes an ambiguity in said translation, and adds a granular qualification to said translation; in response to said finding said gesture, said computer system presenting to said sender an indicator of said gesture and said translation, said indicator being in proximity to a portion of said presented translation; said computer system receiving a selection by said sender of said indicator of said gesture, and in response, presenting said gesture and notes about said gesture to said sender, said notes indicating to said sender how said gesture provides or facilitates an interpretation of said translation, said interpretation being specific to said culture of said recipient, and said notes further indicating to said sender that said gesture is required to prevent said ambiguity in said translation, wherein a result of said presenting said gesture and said notes about said gesture is an increase in knowledge of said sender about said culture of said recipient; and presenting said selected translation and said gesture to said recipient.
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8. A computer system comprising: a hardware central processing unit (CPU); a memory coupled to said CPU; and a computer-readable, tangible storage device coupled to said CPU, said storage device containing instructions that when carried out by said CPU via said memory implement a method of presenting choices of different translations of a message and corresponding interpretations of said different translations, said method comprising: said computer system receiving said message input by a first user (sender) to be sent to a second user (recipient); said computer system receiving an indication of a culture of said recipient; based on said received indication of said culture of said recipient, said computer system retrieving different translations of said message and respective levels of formality of said different translations, said levels of formality being levels of politeness that said culture of said recipient respectively associates with said different translations of said message; said computer system presenting to said sender choices of said different translations of said message and said levels of formality, wherein said different translations are in a language understood by said recipient; said computer system receiving a selection by said sender of a translation included in said different translations, wherein said selection of said translation is based on a review by said sender of said presented choices of said different translations and said levels of formality by said sender; subsequent to said receiving said selection of said translation, said computer system searching a data repository for and subsequently finding in said data repository a gesture which is part of said culture of said recipient and which communicates at least a part of said translation, adds a meaning to said translation, removes an ambiguity in said translation, and adds a granular qualification to said translation; in response to said finding said gesture, said computer system presenting to said sender an indicator of said gesture and said translation, said indicator being in proximity to a portion of said presented translation; said computer system receiving a selection by said sender of said indicator of said gesture, and in response, presenting said gesture and notes about said gesture to said sender, said notes indicating to said sender how said gesture provides or facilitates an interpretation of said translation, said interpretation being specific to said culture of said recipient, and said notes further indicating to said sender that said gesture is required to prevent said ambiguity in said translation, wherein a result of said presenting said gesture and said notes about said gesture is an increase in knowledge of said sender about said culture of said recipient; and presenting said selected translation and said gesture to said recipient. 11. The system of claim 8 , wherein said method further comprises said computer system receiving updates of different gestures corresponding to said different translations from a plurality of users utilizing a plurality of computer units that access said computer system via a computer network.
| 0.748047 |
1. A method for providing text-based dialogue between communicants in a portable environment, the method comprising: selecting a first dialogue language for a first communicant using a first text-based input communication device; selecting a second dialogue language for a second communicant using a second text-based input communication device; entering text-based communication data from the first communicant using the first text-based input communication device in the first dialogue language, wherein the text-based communication data from the first communicant is displayed on a first communicant display; entering text-based communication data from the second communicant using the second text-based input communication device in the second dialogue language, wherein the text-based communication data from the second communicant is displayed on a second communicant display; transmitting a copy of the text-based communication data from the first communicant to the second communicant while the text-based communication data is entered by the first communicant; receiving the text-based communication data from the first communicant by the second communicant; transmitting a copy of the text-based communication data from the second communicant to the first communicant while the text-based communication data is entered by the second communicant; receiving the text-based communication data from the second communicant by the first communicant; displaying the received text-based communication data from the first communicant on the second communicant display; and displaying the received text-based communication data from the second communicant on the first communicant display, wherein the first text-based input communication device and the first communicant display are comprised in a first communicant system, and wherein the second text-based input communication device and the second communicant display are comprised in a second communicant system separate from the first communicant system.
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1. A method for providing text-based dialogue between communicants in a portable environment, the method comprising: selecting a first dialogue language for a first communicant using a first text-based input communication device; selecting a second dialogue language for a second communicant using a second text-based input communication device; entering text-based communication data from the first communicant using the first text-based input communication device in the first dialogue language, wherein the text-based communication data from the first communicant is displayed on a first communicant display; entering text-based communication data from the second communicant using the second text-based input communication device in the second dialogue language, wherein the text-based communication data from the second communicant is displayed on a second communicant display; transmitting a copy of the text-based communication data from the first communicant to the second communicant while the text-based communication data is entered by the first communicant; receiving the text-based communication data from the first communicant by the second communicant; transmitting a copy of the text-based communication data from the second communicant to the first communicant while the text-based communication data is entered by the second communicant; receiving the text-based communication data from the second communicant by the first communicant; displaying the received text-based communication data from the first communicant on the second communicant display; and displaying the received text-based communication data from the second communicant on the first communicant display, wherein the first text-based input communication device and the first communicant display are comprised in a first communicant system, and wherein the second text-based input communication device and the second communicant display are comprised in a second communicant system separate from the first communicant system. 3. The method for providing text-based dialogue of claim 1 , wherein the steps of displaying the received text-based communication data from the first communicant and from the second communicant occur in substantially real-time.
| 0.628582 |
1. A system for enabling searches of content at a server, comprising: a server which is configured to receive queries from clients for content; a communication protocol which enables an asynchronous connection between the clients and the server, and allows each client to communicate, under control of a user and as part of a session, a plurality of consecutive query strings to query the server for content; and a query and result cache that stores one or more query strings previously communicated from the clients, or content results previously returned from the server; wherein each of the clients provides an input field, which allows the user to enter as an input a query comprised of a plurality of consecutive query strings, and wherein the client transmits to the server within the session a plurality of queries to retrieve content from the server matching or related to the plurality of consecutive query strings, wherein each of the plurality of queries form an increasingly lengthening query string for retrieving content from the server; and wherein the server receives the plurality of queries from the requesting client, and in response to receiving each of one or more additional characters in the increasingly lengthening query string as they are being entered at the input field, automatically matches the increasingly lengthening query string initially by matching the query string against the content of the query and result cache, and subsequently by matching the query string against other content available to the server, and asynchronously returns, while the increasingly lengthening query string is being entered by the user at the input field at the client, increasingly relevant content to the client.
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1. A system for enabling searches of content at a server, comprising: a server which is configured to receive queries from clients for content; a communication protocol which enables an asynchronous connection between the clients and the server, and allows each client to communicate, under control of a user and as part of a session, a plurality of consecutive query strings to query the server for content; and a query and result cache that stores one or more query strings previously communicated from the clients, or content results previously returned from the server; wherein each of the clients provides an input field, which allows the user to enter as an input a query comprised of a plurality of consecutive query strings, and wherein the client transmits to the server within the session a plurality of queries to retrieve content from the server matching or related to the plurality of consecutive query strings, wherein each of the plurality of queries form an increasingly lengthening query string for retrieving content from the server; and wherein the server receives the plurality of queries from the requesting client, and in response to receiving each of one or more additional characters in the increasingly lengthening query string as they are being entered at the input field, automatically matches the increasingly lengthening query string initially by matching the query string against the content of the query and result cache, and subsequently by matching the query string against other content available to the server, and asynchronously returns, while the increasingly lengthening query string is being entered by the user at the input field at the client, increasingly relevant content to the client. 12. The system of claim 1 , wherein said client input field includes a visual area that contains rotating arrows indicating that queries are being performed, or static symbols that represent the status of the session and the available results while no queries are active.
| 0.710021 |
15. A computer-implemented method of automatically analyzing text documents in which a computer performs the following steps in the order recited: receiving a subject text document; comparing the text of the subject text document or the text of a subset of the subject text document to the text of a plurality of given text templates, each text template containing at least one paragraph of text; determining which given text template or text templates has text that matches the text of the subject text document or the text of the subset of the subject test document to a given degree of correspondence; and generating a report of the differences between the text of the subject text document or the text of the subset of the subject text document and the text of the matching text template or text templates.
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15. A computer-implemented method of automatically analyzing text documents in which a computer performs the following steps in the order recited: receiving a subject text document; comparing the text of the subject text document or the text of a subset of the subject text document to the text of a plurality of given text templates, each text template containing at least one paragraph of text; determining which given text template or text templates has text that matches the text of the subject text document or the text of the subset of the subject test document to a given degree of correspondence; and generating a report of the differences between the text of the subject text document or the text of the subset of the subject text document and the text of the matching text template or text templates. 20. The computer-implemented method of claim 15 wherein the determining matches to a degree of correspondence uses a longest common subsequence algorithm.
| 0.774816 |
15. A non-transitory computer readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising: receiving a series of queries provided from a user device, the series of queries comprising two or more queries; determining a query pattern of the series of queries based on one or more entities and one or more aspects associated with the two or more queries, the determining comprising: for each query in the series of queries: determining a set of entities comprising one or more entities and described in the query, and determining a set of aspects comprising one or more aspects and described in the query; comparing sets of entities across queries in the series of queries; comparing sets of aspects across queries in the series of queries; determining that at least one of a set of aspects are consistent in each of the queries or a set of entities are consistent in each of the queries; and determining that the at least one of a set of aspects that are consistent in each of the queries or a set of entities that are consistent in each of the queries is a context of the queries, and that the context defines the query pattern; determining, at least partially based on the context defining the query pattern, that a teachable moment interface is to be displayed with search results on the user device; and transmitting content to be displayed in the teachable moment interface on the user device, the content including instructions to a user that instructs the user that the user need not include the content that defines the query pattern in queries that are subsequent to the series of queries.
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15. A non-transitory computer readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising: receiving a series of queries provided from a user device, the series of queries comprising two or more queries; determining a query pattern of the series of queries based on one or more entities and one or more aspects associated with the two or more queries, the determining comprising: for each query in the series of queries: determining a set of entities comprising one or more entities and described in the query, and determining a set of aspects comprising one or more aspects and described in the query; comparing sets of entities across queries in the series of queries; comparing sets of aspects across queries in the series of queries; determining that at least one of a set of aspects are consistent in each of the queries or a set of entities are consistent in each of the queries; and determining that the at least one of a set of aspects that are consistent in each of the queries or a set of entities that are consistent in each of the queries is a context of the queries, and that the context defines the query pattern; determining, at least partially based on the context defining the query pattern, that a teachable moment interface is to be displayed with search results on the user device; and transmitting content to be displayed in the teachable moment interface on the user device, the content including instructions to a user that instructs the user that the user need not include the content that defines the query pattern in queries that are subsequent to the series of queries. 21. The non-transitory computer readable medium of claim 15 , wherein the content is specific to one or more of the query pattern and terms of the two or more queries in the series of queries.
| 0.539641 |
10. A method comprising: receiving, from an entity associated with a brand page, one or more tags associated with content posted to the brand page by the entity, the entity and the brand page stored in a social networking system; presenting the content posted on the brand page to users of the social networking system connected to the brand page; receiving interactions with the content posted on the brand page from a plurality of the users of the social networking system connected to the brand page; generating, by the social networking system, a group of users, of the plurality of the users, who performed the received interactions with the content associated with one or more tags; selecting, by the social networking system, additional content for the group of users, the additional content selected based on the additional content having a tag matching to the one or more tags associated with the content interacted with by the group of users of the social networking system; and sending, by the social networking system, the additional content in a story in a news feed to a client device associated with a viewing user included in the group of users.
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10. A method comprising: receiving, from an entity associated with a brand page, one or more tags associated with content posted to the brand page by the entity, the entity and the brand page stored in a social networking system; presenting the content posted on the brand page to users of the social networking system connected to the brand page; receiving interactions with the content posted on the brand page from a plurality of the users of the social networking system connected to the brand page; generating, by the social networking system, a group of users, of the plurality of the users, who performed the received interactions with the content associated with one or more tags; selecting, by the social networking system, additional content for the group of users, the additional content selected based on the additional content having a tag matching to the one or more tags associated with the content interacted with by the group of users of the social networking system; and sending, by the social networking system, the additional content in a story in a news feed to a client device associated with a viewing user included in the group of users. 11. The method of claim 10 , wherein the additional content comprises an advertisement.
| 0.584977 |
1. A method for emotion-based game character manipulation, the method comprising: executing instructions stored in memory, wherein execution of the instructions by a processor: maintains a table of quantified attributes for a first game character, the attributes including emotional attributes and non-emotional attributes; determines an adjustment to an emotional attribute of the first game character based on an interaction between the first game character and a second game character; adjusts the emotional attribute of the first game character as determined, wherein adjustment of the emotional attribute results in an adjustment to a non-emotional attribute of the first game character; and generates a behavior of the first game character based on the adjusted non-emotional attribute.
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1. A method for emotion-based game character manipulation, the method comprising: executing instructions stored in memory, wherein execution of the instructions by a processor: maintains a table of quantified attributes for a first game character, the attributes including emotional attributes and non-emotional attributes; determines an adjustment to an emotional attribute of the first game character based on an interaction between the first game character and a second game character; adjusts the emotional attribute of the first game character as determined, wherein adjustment of the emotional attribute results in an adjustment to a non-emotional attribute of the first game character; and generates a behavior of the first game character based on the adjusted non-emotional attribute. 2. The method of claim 1 , wherein the emotional attributes of the first game character is associated with a team of game characters.
| 0.637947 |
9. The computer program product of claim 8 further comprising instructions for incrementing at least one of: a first pair counter configured to increment if the first unidentical substring pair is in the training data; a first substring counter configured to increment if the first unidentical substring is in the training data; a second substring counter configured to increment if the second unidentical substring is in the training data; a second pair counter configured to increment if the second unidentical substring pair is in the training data; a third substring counter configured to increment if the third unidentical substring is in the training data; and a fourth substring counter configured to increment if the fourth unidentical substring is in the training data.
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9. The computer program product of claim 8 further comprising instructions for incrementing at least one of: a first pair counter configured to increment if the first unidentical substring pair is in the training data; a first substring counter configured to increment if the first unidentical substring is in the training data; a second substring counter configured to increment if the second unidentical substring is in the training data; a second pair counter configured to increment if the second unidentical substring pair is in the training data; a third substring counter configured to increment if the third unidentical substring is in the training data; and a fourth substring counter configured to increment if the fourth unidentical substring is in the training data. 10. The computer program product of claim 9 further comprising instructions for: generating a matching score for each variant string pair in the training data, based upon, at least in part, at least one of the first pair counter, the first substring counter, the second substring counter, the second pair counter, the third substring counter, and the fourth substring counter.
| 0.746869 |
1. A method comprising: operating a switch to release a document viewer activation control to a first selector, in response to receiving an activation input for a document viewer through an application interface; configuring the first selector with the document viewer activation control to: select application location for the application interface from the document viewer activation control; select document view logs, each associated with a document identifier, with document view entries each comprising a time stamp, and view location matching the application location, from a view log memory allocation of a controlled memory structure; and release the document view logs to document prioritization logic; configuring the document prioritization logic with the document view logs to: calculate average document view rate for the application location from time stamp intervals between the document view entries; calculate an average view rate for each document of a plurality of documents at the application location from the time stamp intervals between the document view entries for each of the plurality of documents; normalize the average view rate for each document with the average document view rate; weight normalized average view rates through operation of a relevance modeler to generate relevancy scores; operate a combiner to rank the relevancy scores in descending order and combine in a document relevance set; and release the document relevance set to a second selector; configuring the second selector with the document relevance set to: select the plurality of documents, from a document collection memory allocation in the controlled memory structure, with matching document identifiers to the relevancy scores; and release each document and the document relevance set to the document viewer in the application interface; configuring the document viewer with the document relevance set to prioritize rendering of each document based on associated rank of the relevancy scores; operating the switch to release a document view signal to a compiler, in response to a document viewing in the document viewer; and configuring the compiler with the document view signal to: identify a document view log for a viewed document, through the matching document identifiers, in the view log memory allocation; generate a new document view entry for the document viewing in the document view log; append the application location of the application interface during the document viewing in the new document view entry as the view location; and record a new time stamp from a clock in the new document view entry for the document viewing.
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1. A method comprising: operating a switch to release a document viewer activation control to a first selector, in response to receiving an activation input for a document viewer through an application interface; configuring the first selector with the document viewer activation control to: select application location for the application interface from the document viewer activation control; select document view logs, each associated with a document identifier, with document view entries each comprising a time stamp, and view location matching the application location, from a view log memory allocation of a controlled memory structure; and release the document view logs to document prioritization logic; configuring the document prioritization logic with the document view logs to: calculate average document view rate for the application location from time stamp intervals between the document view entries; calculate an average view rate for each document of a plurality of documents at the application location from the time stamp intervals between the document view entries for each of the plurality of documents; normalize the average view rate for each document with the average document view rate; weight normalized average view rates through operation of a relevance modeler to generate relevancy scores; operate a combiner to rank the relevancy scores in descending order and combine in a document relevance set; and release the document relevance set to a second selector; configuring the second selector with the document relevance set to: select the plurality of documents, from a document collection memory allocation in the controlled memory structure, with matching document identifiers to the relevancy scores; and release each document and the document relevance set to the document viewer in the application interface; configuring the document viewer with the document relevance set to prioritize rendering of each document based on associated rank of the relevancy scores; operating the switch to release a document view signal to a compiler, in response to a document viewing in the document viewer; and configuring the compiler with the document view signal to: identify a document view log for a viewed document, through the matching document identifiers, in the view log memory allocation; generate a new document view entry for the document viewing in the document view log; append the application location of the application interface during the document viewing in the new document view entry as the view location; and record a new time stamp from a clock in the new document view entry for the document viewing. 4. The method of claim 1 , wherein the application location is a uniform resource locator (URL) comprising a domain, a path, and a query value.
| 0.672277 |
6. A system for determining query plans comprising: a processor that: obtains a current query; parses the current query into a first parameterized literal and a first signature key; determines that the first signature key matches a second signature key stored in a hash table; obtains a literals data structure from the hash table corresponding to the second signature key, the literals data structure comprising a group of literals, a parameterization indicator, and a statistical histogram for each parameterized literal in the group of literals, each statistical histogram comprising a list of intervals defined by a low bound and a high bound; identifies, using the parameterization indicator, a second parameterized literal in the group of literals; determines that the first parameterized literal is contained in a range defined by the low bound and the high bound of the statistical histogram for the second parameterized literal; obtains a stored query plan for the second signature key; and executes the query plan on the current query.
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6. A system for determining query plans comprising: a processor that: obtains a current query; parses the current query into a first parameterized literal and a first signature key; determines that the first signature key matches a second signature key stored in a hash table; obtains a literals data structure from the hash table corresponding to the second signature key, the literals data structure comprising a group of literals, a parameterization indicator, and a statistical histogram for each parameterized literal in the group of literals, each statistical histogram comprising a list of intervals defined by a low bound and a high bound; identifies, using the parameterization indicator, a second parameterized literal in the group of literals; determines that the first parameterized literal is contained in a range defined by the low bound and the high bound of the statistical histogram for the second parameterized literal; obtains a stored query plan for the second signature key; and executes the query plan on the current query. 10. The system of claim 6 , wherein the processor parses the current query into a first parameterized literal and a first signature key during a parsing stage of a query compilation.
| 0.855155 |
8. A non-transitory computer-readable medium having instructions stored thereon, the instructions, when executed by one or more processors, cause the processors to perform operations comprising: receiving a training corpus comprising a collection of complete input phrases that span a plurality of semantically distinct domains; for each of a plurality of distinct words present in the collection of complete input phrases, calculating a respective word indexing power across the plurality of domains based on a respective normalized entropy for said word, wherein the respective normalized entropy is based on a total number of domains in which said word appears and how representative said word is for each of the plurality of domains; for each complete input phrase in the collection of complete input phrases, calculating a respective phrase indexing power across the plurality of domains based on an aggregation of the respective word indexing powers of all constituent words of said complete input phrase; obtaining respective domain-specific usage frequencies of the complete input phrases in the training corpus; and generating a cross-domain ranking of the collection of complete input phrases based at least on the respective phrase indexing powers of the complete input phrases and the respective domain-specific usage frequencies of the complete input phrases.
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8. A non-transitory computer-readable medium having instructions stored thereon, the instructions, when executed by one or more processors, cause the processors to perform operations comprising: receiving a training corpus comprising a collection of complete input phrases that span a plurality of semantically distinct domains; for each of a plurality of distinct words present in the collection of complete input phrases, calculating a respective word indexing power across the plurality of domains based on a respective normalized entropy for said word, wherein the respective normalized entropy is based on a total number of domains in which said word appears and how representative said word is for each of the plurality of domains; for each complete input phrase in the collection of complete input phrases, calculating a respective phrase indexing power across the plurality of domains based on an aggregation of the respective word indexing powers of all constituent words of said complete input phrase; obtaining respective domain-specific usage frequencies of the complete input phrases in the training corpus; and generating a cross-domain ranking of the collection of complete input phrases based at least on the respective phrase indexing powers of the complete input phrases and the respective domain-specific usage frequencies of the complete input phrases. 9. The computer-readable medium of claim 8 , wherein the operations further comprise: providing the cross-domain ranking of the collection of complete input phrases to a user device, wherein the user device presents one or more auto-completion candidates in response to an initial user input in accordance with at least the cross-domain ranking of the collection of complete input phrases.
| 0.674266 |
4. The method of claim 1 : the client policy version comprising a client policy major version value and a client policy minor version value and the remote server policy version comprises a remote server policy major version value and a remote server policy minor version value, and selecting an identified policy version between the client policy version and the remote server policy version comprising: choosing the client policy version to be the identified policy version when the client policy major version value is less than the remote server policy major version value; choosing the remote server policy version to be the identified policy version when the remote server policy major version value is less than the client policy major version value; choosing the client policy version to be the identified policy version when the client policy major version value equals the remote server policy major version value and the client policy minor version value is less than the remote server policy minor version value; and choosing the remote server policy version to be the identified policy version when the remote server policy major version value equals the client policy major version value and the remote server policy minor version value is less than the client policy minor version value.
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4. The method of claim 1 : the client policy version comprising a client policy major version value and a client policy minor version value and the remote server policy version comprises a remote server policy major version value and a remote server policy minor version value, and selecting an identified policy version between the client policy version and the remote server policy version comprising: choosing the client policy version to be the identified policy version when the client policy major version value is less than the remote server policy major version value; choosing the remote server policy version to be the identified policy version when the remote server policy major version value is less than the client policy major version value; choosing the client policy version to be the identified policy version when the client policy major version value equals the remote server policy major version value and the client policy minor version value is less than the remote server policy minor version value; and choosing the remote server policy version to be the identified policy version when the remote server policy major version value equals the client policy major version value and the remote server policy minor version value is less than the client policy minor version value. 5. The method of claim 4 , the message indicating the at least one unsupported policy object comprises a command processing message if the command failed to process.
| 0.739834 |
7. The method of claim 2 : at least one input component of the device comprising an audio input component; the query comprising an audio query received through an audio input component; at least one search engine comprising a textual search engine configured to handle textual queries; and the instructions configured to, after receiving the query through the audio input component and before executing the query on the textual search engine, transitioning the audio query to a textual query.
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7. The method of claim 2 : at least one input component of the device comprising an audio input component; the query comprising an audio query received through an audio input component; at least one search engine comprising a textual search engine configured to handle textual queries; and the instructions configured to, after receiving the query through the audio input component and before executing the query on the textual search engine, transitioning the audio query to a textual query. 9. The method of claim 7 , the instructions configured to, after recognizing the audio query to a textual query and before executing the query on the textual search engine, confirm the textual query with the user.
| 0.860459 |
13. The computer-implemented method of claim 12 , wherein said statement includes an expression that references the parent document and represents an expansion of said parent document.
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13. The computer-implemented method of claim 12 , wherein said statement includes an expression that references the parent document and represents an expansion of said parent document. 14. The computer-implemented method of claim 13 , wherein said expression includes an operator based on said parent document.
| 0.945607 |
42. The method of claim 41 comprising the further step of: (d) combining the accumulated label votes together to provide a likelihood score for the subject word.
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42. The method of claim 41 comprising the further step of: (d) combining the accumulated label votes together to provide a likelihood score for the subject word. 43. The method of claim 42 comprising the further step of: (e) repeating steps (c) and (d) for each word in the vocabulary; and (f) selecting the n words having the highest likelihood scores as candidate words, where n is a predefined integer.
| 0.932945 |
1. A non-transitory computer readable medium encoded with a plurality of instructions that when executed by at least one processor implements a method of defining model characters of a font, the method comprising acts of: a) receiving a first input comprising a string of characters input by a user, each character of the string having an associated range for a feature value that is derived from the shape of the character and does not vary with the size of the character; b) receiving a second input comprising an image including an occurrence of the string of characters; c) isolating objects in the image by grouping connected foreground pixels; d) identifying, among the isolated objects, objects that meet a character size criterion determined adaptively based upon the image and the particular string input by the user; e) identifying, among the identified objects, a sequence of objects corresponding to the string of characters (1) based upon a comparison of a feature value of each object of the sequence of objects and the range associated with the corresponding character of the string, and (2) by applying a string criterion, specific to the particular string input by the user, requiring that each pair of objects in the sequence of objects have compatible dimensions given the corresponding pair of characters of the string they are supposed to represent; and f) creating a model character of the font for each character of the string of characters based upon the corresponding object of the sequence of objects.
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1. A non-transitory computer readable medium encoded with a plurality of instructions that when executed by at least one processor implements a method of defining model characters of a font, the method comprising acts of: a) receiving a first input comprising a string of characters input by a user, each character of the string having an associated range for a feature value that is derived from the shape of the character and does not vary with the size of the character; b) receiving a second input comprising an image including an occurrence of the string of characters; c) isolating objects in the image by grouping connected foreground pixels; d) identifying, among the isolated objects, objects that meet a character size criterion determined adaptively based upon the image and the particular string input by the user; e) identifying, among the identified objects, a sequence of objects corresponding to the string of characters (1) based upon a comparison of a feature value of each object of the sequence of objects and the range associated with the corresponding character of the string, and (2) by applying a string criterion, specific to the particular string input by the user, requiring that each pair of objects in the sequence of objects have compatible dimensions given the corresponding pair of characters of the string they are supposed to represent; and f) creating a model character of the font for each character of the string of characters based upon the corresponding object of the sequence of objects. 18. The computer readable medium of claim 1 , further comprising an act of: discarding objects that do not meet a characterness criterion indicative that the object is more likely to be a character object rather than another type of object prior to the act (e).
| 0.64504 |
10. A system for querying a document containing hierarchical information that includes parent nodes and descendent nodes, comprising: a wrapper unit, implemented in a form of a processor, which locates a first parent node in the document by using a mapping specification, determines if the first parent node satisfies a query and fetches from the document nested descendent nodes relating to the first parent node in response to determining that the first parent node satisfies the query, wherein the wrapper unit parses only parent nodes in the document.
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10. A system for querying a document containing hierarchical information that includes parent nodes and descendent nodes, comprising: a wrapper unit, implemented in a form of a processor, which locates a first parent node in the document by using a mapping specification, determines if the first parent node satisfies a query and fetches from the document nested descendent nodes relating to the first parent node in response to determining that the first parent node satisfies the query, wherein the wrapper unit parses only parent nodes in the document. 12. The system of claim 10 , wherein upon fetching a last nested descendent node relating to the first parent node, the wrapper unit locates a second parent node in the document by using the mapping specification, stores the second parent node in the first relational storage area, fetches from the document nested descendent nodes relating to the second parent node and stores the fetched descendent nodes in the second relational storage area, wherein the nested descendent nodes are located by using the mapping specification.
| 0.535714 |
25. A system comprising: one or more computers, the one or more computers implementing: a dataset tool to identify each vector v in a dataset as a comparison vector, and a set of candidate vectors corresponding to each vector v; a similarity tool to determine, for each candidate vector w in each set of candidate vectors corresponding to v, a similarity estimate between the comparison vector v and the candidate vector w, and a similarity score between the comparison vector v and the candidate vector w if the similarity estimate meets a similarity threshold; and a results tool to include each pair of vectors comprising each comparison vector v and each respective candidate vector w in a list of similar pairs of vectors if the respective similarity score between the comparison vector v and the candidate vector w meets the similarity threshold.
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25. A system comprising: one or more computers, the one or more computers implementing: a dataset tool to identify each vector v in a dataset as a comparison vector, and a set of candidate vectors corresponding to each vector v; a similarity tool to determine, for each candidate vector w in each set of candidate vectors corresponding to v, a similarity estimate between the comparison vector v and the candidate vector w, and a similarity score between the comparison vector v and the candidate vector w if the similarity estimate meets a similarity threshold; and a results tool to include each pair of vectors comprising each comparison vector v and each respective candidate vector w in a list of similar pairs of vectors if the respective similarity score between the comparison vector v and the candidate vector w meets the similarity threshold. 66. The method of claim 25 , in which each vector represents a corresponding user in a community, and each feature of each vector represents the corresponding user's click-behavior with regard to a content item.
| 0.714152 |
6. The method of claim 1 , where the variation of context in which the sequence occurs is calculated relative to a collection of documents.
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6. The method of claim 1 , where the variation of context in which the sequence occurs is calculated relative to a collection of documents. 11. The method of claim 6 , where the variation of context in which the sequence occurs, HP(S), is calculated as
HP ( S )=MIN( HLP ( S ), HRP ( S )) where MIN defines a minimum operation, S represents the sequence, HLP(S) is defined as the number of continuations to the left of the sequence that cover a predetermined percentage of all cases in the collection of documents and HRP(S) is defined as the number of continuations to the right of the sequence that cover the predetermined percentage of all cases in the collection of documents.
| 0.808304 |
8. The method of claim 1 , wherein the first file includes a plurality of browser links and hyper links, and the step of selecting a predicted link further comprises the steps of: ranking one or more of the hyper links in the first file; and selecting the predicted link by selecting the hyper link with the highest ranking.
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8. The method of claim 1 , wherein the first file includes a plurality of browser links and hyper links, and the step of selecting a predicted link further comprises the steps of: ranking one or more of the hyper links in the first file; and selecting the predicted link by selecting the hyper link with the highest ranking. 9. The method of claim 8 , wherein the step of ranking the one or more hyper links further comprises ranking the one or more hyper links based on a previous hit rate for the one or more hyper links.
| 0.888609 |
1. A method, comprising acts of: (A) determining quality of an input signal to a speech recognition system, the determining comprising detecting a signal-to-noise ratio and a loudness of the input signal; and (B) establishing a rejection threshold used in rejecting a speech recognition result for speech included in the input signal based at least in part on the determined quality of the input signal; wherein the speech recognition result has a confidence score indicating a level of confidence in an accuracy of the speech recognition result, and the rejection threshold specifies which confidence scores indicate that the speech recognition result is to be rejected as being incorrectly recognized.
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1. A method, comprising acts of: (A) determining quality of an input signal to a speech recognition system, the determining comprising detecting a signal-to-noise ratio and a loudness of the input signal; and (B) establishing a rejection threshold used in rejecting a speech recognition result for speech included in the input signal based at least in part on the determined quality of the input signal; wherein the speech recognition result has a confidence score indicating a level of confidence in an accuracy of the speech recognition result, and the rejection threshold specifies which confidence scores indicate that the speech recognition result is to be rejected as being incorrectly recognized. 9. The method of claim 1 , wherein the confidence score indicates a level of confidence that the speech in the input signal has been recognized correctly.
| 0.622837 |
15. A system for providing a dynamic user interface comprising a plurality of logical layers, comprising: a user interface displayed in a display and provided by a heads-up display generator, comprising: a data layer configured to provide clusters comprising one or more concepts arranged proximal to each other such cluster to form a cluster spine; a control layer configured to operate on a view of the cluster spines; a concepts layer configured to provide information about the clusters; and a heads-up display layer, comprising: a compass to logically frame the cluster spines; a label to identify one such concept in one or more of the cluster spines appearing within the compass; and a plurality of slots positioned circumferentially around the compass, wherein each label is assigned to the slot outside of the compass for the cluster spine having a closest angularity to the slot.
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15. A system for providing a dynamic user interface comprising a plurality of logical layers, comprising: a user interface displayed in a display and provided by a heads-up display generator, comprising: a data layer configured to provide clusters comprising one or more concepts arranged proximal to each other such cluster to form a cluster spine; a control layer configured to operate on a view of the cluster spines; a concepts layer configured to provide information about the clusters; and a heads-up display layer, comprising: a compass to logically frame the cluster spines; a label to identify one such concept in one or more of the cluster spines appearing within the compass; and a plurality of slots positioned circumferentially around the compass, wherein each label is assigned to the slot outside of the compass for the cluster spine having a closest angularity to the slot. 16. The system according to claim 15 , wherein the concept layer further comprises: set-aside trays configured to graphically group those clusters that have been selected or logically marked into sorting categories.
| 0.692479 |
16. A computer readable medium comprising program instructions implemented on a computer system, wherein the program instructions are computer-executable to implement: providing a plurality or business rule data elements and a rules style for each of a plurality of rows in a rules data table in a memory of the computer system; providing a template table comprising a plurality of rows, each row of the template table comprising a rules style, wherein the rules style for each row of the template table specifies a syntax for one of a plurality of business rules, wherein each of a plurality of business rules is classified into one of the rule styles, the syntax for a premise and a resulting rule action for a given rule style being common to business rules within the rule style; providing a text table comprising a plurality of rows, each of the rows comprising a text string specifying a syntax for one of the business rules; for two or more rows in the rules data table, the computer system: using the rules style for the row in the rules data table as a key to find a matching record in the template table; reading data from the rules data table using information from the template table; reading a text string from the text table; and combining two or more of the business rule data elements for the row in the rules data table and the syntax for the rules style specified in the template table and the text string of the text table to form one or more business rules for processing one or more bodily injury insurance claims; and providing at least one of the formed business rules to a rules engine, wherein the formed business rule is executable by the rules engine to process at least one of the insurance claims.
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16. A computer readable medium comprising program instructions implemented on a computer system, wherein the program instructions are computer-executable to implement: providing a plurality or business rule data elements and a rules style for each of a plurality of rows in a rules data table in a memory of the computer system; providing a template table comprising a plurality of rows, each row of the template table comprising a rules style, wherein the rules style for each row of the template table specifies a syntax for one of a plurality of business rules, wherein each of a plurality of business rules is classified into one of the rule styles, the syntax for a premise and a resulting rule action for a given rule style being common to business rules within the rule style; providing a text table comprising a plurality of rows, each of the rows comprising a text string specifying a syntax for one of the business rules; for two or more rows in the rules data table, the computer system: using the rules style for the row in the rules data table as a key to find a matching record in the template table; reading data from the rules data table using information from the template table; reading a text string from the text table; and combining two or more of the business rule data elements for the row in the rules data table and the syntax for the rules style specified in the template table and the text string of the text table to form one or more business rules for processing one or more bodily injury insurance claims; and providing at least one of the formed business rules to a rules engine, wherein the formed business rule is executable by the rules engine to process at least one of the insurance claims. 17. The computer readable medium of claim 16 , wherein the program instructions are further computer-executable to implement processing at least one of the insurance claims by executing at least one of the formed business rules in the rules engine.
| 0.532376 |
8. Logic encoded in one or more tangible non-transitory media that includes code for execution and when executed by a processor is operable to perform operations comprising: receiving enterprise network traffic associated with a particular user; identifying irrelevant documents in the received network traffic using a document filter; developing a personal vocabulary for the particular user based on the enterprise network traffic, wherein the irrelevant documents are not evaluated to develop the personal vocabulary, wherein the personal vocabulary is developed independent of additional users; determining an expertise associated with the particular user based, at least in part, on the personal vocabulary and activity of the additional users; determining a category associated with the particular user, wherein the category is at least partially based on applications used by the particular user; determining areas of interest for the particular user based on the personal vocabulary, the category, and inter-category terms, wherein the inter-category terms are used to link similar categories; determining associations for the particular user in relation to the additional users; and generating a feed based on a portion of the enterprise network traffic and areas of interest for the particular user, wherein the feed is automatically delivered to a subset of the additional users.
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8. Logic encoded in one or more tangible non-transitory media that includes code for execution and when executed by a processor is operable to perform operations comprising: receiving enterprise network traffic associated with a particular user; identifying irrelevant documents in the received network traffic using a document filter; developing a personal vocabulary for the particular user based on the enterprise network traffic, wherein the irrelevant documents are not evaluated to develop the personal vocabulary, wherein the personal vocabulary is developed independent of additional users; determining an expertise associated with the particular user based, at least in part, on the personal vocabulary and activity of the additional users; determining a category associated with the particular user, wherein the category is at least partially based on applications used by the particular user; determining areas of interest for the particular user based on the personal vocabulary, the category, and inter-category terms, wherein the inter-category terms are used to link similar categories; determining associations for the particular user in relation to the additional users; and generating a feed based on a portion of the enterprise network traffic and areas of interest for the particular user, wherein the feed is automatically delivered to a subset of the additional users. 12. The logic of claim 8 , wherein weights are used to filter the network traffic in order to develop the feed for the subset of the additional users.
| 0.657534 |
17. A computer program product for filtering, segmenting and recognizing objects, the computer program product comprising: a non-transitory computer-readable medium having executable instructions encoded thereon, such that upon execution of the instructions by one or more processors, the one or more processors perform operations of: down sampling a three-dimensional (3D) point cloud having a plurality of data points in 3D space to generate a down-sampled 3D point cloud P with reduced data points in the 3D space; identifying and removing a ground plane in the down-sampled 3D point cloud to leave non-ground data points in the down-sampled 3D point cloud; generating a set of 3D candidate blobs by clustering the non-ground data points to generate a plurality of 3D blobs, each of the 3D blobs having a cluster size; extracting features from each 3D candidate blob, the features being vectors that represent morphological characteristics of each 3D candidate blob; and classifying at least one of the 3D candidate blobs as a pre-defined object class based on the extracted features by assigning a semantic meaning to a segmented real-world individual object.
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17. A computer program product for filtering, segmenting and recognizing objects, the computer program product comprising: a non-transitory computer-readable medium having executable instructions encoded thereon, such that upon execution of the instructions by one or more processors, the one or more processors perform operations of: down sampling a three-dimensional (3D) point cloud having a plurality of data points in 3D space to generate a down-sampled 3D point cloud P with reduced data points in the 3D space; identifying and removing a ground plane in the down-sampled 3D point cloud to leave non-ground data points in the down-sampled 3D point cloud; generating a set of 3D candidate blobs by clustering the non-ground data points to generate a plurality of 3D blobs, each of the 3D blobs having a cluster size; extracting features from each 3D candidate blob, the features being vectors that represent morphological characteristics of each 3D candidate blob; and classifying at least one of the 3D candidate blobs as a pre-defined object class based on the extracted features by assigning a semantic meaning to a segmented real-world individual object. 20. The computer program product as set forth in claim 17 , wherein the ground plane is identified using a plane model such that the plane with a maximum number of points is identified as the ground plane.
| 0.84624 |
1. A method comprising: receiving a first character at a user interface of a computing device; determining a first plurality of string predictions based on the first character and on historical information collected about a user by the computing device, wherein each of the string predictions comprises a string and an associated confidence value; displaying the strings of the first plurality of string predictions in a soft input panel of the user interface on a display of the computing device, wherein each of the strings is displayed at a location on the display according to the confidence value associated with each of the strings; receiving a second character at the user interface of the computing device; determining a second plurality of string predictions based on the first character and the second character and on the historical information collected about the user by the computing device; and minimizing the changes to the soft input panel by displaying the strings of the second plurality of string predictions in the soft input panel of the user interface on the display using the displayed locations of the strings of the first plurality of string predictions, and by displaying each string of the second plurality of string predictions that is also in the strings of the first plurality of string predictions at the same location in the soft input panel as the string of the first plurality of string predictions.
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1. A method comprising: receiving a first character at a user interface of a computing device; determining a first plurality of string predictions based on the first character and on historical information collected about a user by the computing device, wherein each of the string predictions comprises a string and an associated confidence value; displaying the strings of the first plurality of string predictions in a soft input panel of the user interface on a display of the computing device, wherein each of the strings is displayed at a location on the display according to the confidence value associated with each of the strings; receiving a second character at the user interface of the computing device; determining a second plurality of string predictions based on the first character and the second character and on the historical information collected about the user by the computing device; and minimizing the changes to the soft input panel by displaying the strings of the second plurality of string predictions in the soft input panel of the user interface on the display using the displayed locations of the strings of the first plurality of string predictions, and by displaying each string of the second plurality of string predictions that is also in the strings of the first plurality of string predictions at the same location in the soft input panel as the string of the first plurality of string predictions. 6. The method of claim 1 , wherein the second plurality of string predictions has fewer strings than the first plurality of string predictions.
| 0.588834 |
24. A fuzzy inference development method, comprising the steps of: prestoring a variety of inference engines in an inference engine library; inputting specifications data concerning requirements for desired inference engine; inputting knowledge data necessary for performing at least one fuzzy inference; and selecting at least one inference engine from said variety of prestored inference engines which most closely fit said at least one fuzzy inference defined by said knowledge data and most closely matches said specifications data.
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24. A fuzzy inference development method, comprising the steps of: prestoring a variety of inference engines in an inference engine library; inputting specifications data concerning requirements for desired inference engine; inputting knowledge data necessary for performing at least one fuzzy inference; and selecting at least one inference engine from said variety of prestored inference engines which most closely fit said at least one fuzzy inference defined by said knowledge data and most closely matches said specifications data. 30. The method of claim 24, wherein each of said inference engine modules comprises a rule processing module which stipulates how specified rules are to be processed and a membership function processing module which stipulates a designated membership function as well as how to calculate a goodness of fit of input data with respect to said designated membership function.
| 0.729436 |
3. The method of claim 2 wherein the multiple-axis input device is rotatable to provide input, and further comprising detecting as the input from the multiple-axis input device a rotation of the multiple-axis input device a rotational distance equal to a number of times a predetermined rotational distance.
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3. The method of claim 2 wherein the multiple-axis input device is rotatable to provide input, and further comprising detecting as the input from the multiple-axis input device a rotation of the multiple-axis input device a rotational distance equal to a number of times a predetermined rotational distance. 5. The method of claim 3 , further comprising detecting as the rotation of the multiple-axis input device an initial rotation of the multiple-axis input device in a first rotational direction a rotational distance equal to a first number of times the predetermined rotational distance and a subsequent rotation of the multiple-axis input device in a second rotational direction a rotational distance equal to a second number of times the predetermined rotational distance, each successive disambiguated interpretation being the next sequentially disposed disambiguated interpretation in the direction of rotation of the multiple-axis input device.
| 0.787184 |
8. A method for implementing an interactive, three-dimensional user interface comprising: reading instructions from a scene schema for creating a three-dimensional scene; instantiating the three-dimensional scene in three-dimensional space on a computer by importing a two-dimensional resource image file defining interactive behavior of a two-dimensional user interface into a three-dimensional space, wherein the two-dimensional user interface comprises one or more image assets, and the interactive behavior is defined by navigation instructions for selecting and activating the one or more image assets in response to user input; importing a three-dimensional object having a texture definition property into the three-dimensional space; defining animation properties for the three-dimensional object; assigning the two-dimensional resource image file as the texture definition property of the three-dimensional object; and mapping the two-dimensional resource image file to a surface of the three-dimensional object by distorting the two-dimensional resource image file onto the three-dimensional object and applying the interactive behavior of the two-dimensional user interface to the surface of the three-dimensional object to thereby form a three-dimensional user interface having interactive behavior within the distorted two-dimensional resource image file on the three-dimensional object; assigning user input commands to the two-dimensional user interface; and activating behaviors associated with the two-dimensional user interface in response to the user input commands.
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8. A method for implementing an interactive, three-dimensional user interface comprising: reading instructions from a scene schema for creating a three-dimensional scene; instantiating the three-dimensional scene in three-dimensional space on a computer by importing a two-dimensional resource image file defining interactive behavior of a two-dimensional user interface into a three-dimensional space, wherein the two-dimensional user interface comprises one or more image assets, and the interactive behavior is defined by navigation instructions for selecting and activating the one or more image assets in response to user input; importing a three-dimensional object having a texture definition property into the three-dimensional space; defining animation properties for the three-dimensional object; assigning the two-dimensional resource image file as the texture definition property of the three-dimensional object; and mapping the two-dimensional resource image file to a surface of the three-dimensional object by distorting the two-dimensional resource image file onto the three-dimensional object and applying the interactive behavior of the two-dimensional user interface to the surface of the three-dimensional object to thereby form a three-dimensional user interface having interactive behavior within the distorted two-dimensional resource image file on the three-dimensional object; assigning user input commands to the two-dimensional user interface; and activating behaviors associated with the two-dimensional user interface in response to the user input commands. 17. A computer-readable storage medium having computer-executable instructions performing a computer process implementing the method of claim 8 .
| 0.600505 |
3. A computer-readable storage medium containing a program which, when executed by a processor, performs an operation for generating a reusable query component, the operation comprising: for each of a plurality of reusable query components: (i) receiving, from a user, one or more query conditions to associate with a reusable query component, wherein each condition provides a portion of a database query in a query language, wherein the condition operates to filter results to be returned by the database query, wherein each are condition is an abstract query condition defined by one or more logical fields and wherein each condition includes: a field name referencing a field in a database, a comparison operator, and a comparison value to which one or more database values for the field are compared, based on the comparison operator, to determine whether the condition is satisfied for a given database value corresponding to the field; (ii) receiving, from the user, a name for the reusable query component; and (iii) receiving, from the user, an access level to assign to the reusable query component, wherein the access level indicates a privilege level required for a user in order for the reusable query component to be made available to the user for use in building in a database query, and wherein the access level is specific to the reusable query component; (iv) associating the one or more query conditions with the specified name and the specified access level; and (v) storing the one or more query conditions, the specified name, and the specified access level; wherein the storing comprises storing XML representations of the one or more query conditions, the specified access level, and the specified name in a database for later retrieval; receiving a request to include at least two of the plurality of reusable query component in abstract query, wherein the request specifies the respective name of the at least two reusable query components; and upon determining that the request satisfies the respective specified access level for the reusable query components, including all of the respective query conditions of the reusable query components in the abstract query, responsive to the request.
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3. A computer-readable storage medium containing a program which, when executed by a processor, performs an operation for generating a reusable query component, the operation comprising: for each of a plurality of reusable query components: (i) receiving, from a user, one or more query conditions to associate with a reusable query component, wherein each condition provides a portion of a database query in a query language, wherein the condition operates to filter results to be returned by the database query, wherein each are condition is an abstract query condition defined by one or more logical fields and wherein each condition includes: a field name referencing a field in a database, a comparison operator, and a comparison value to which one or more database values for the field are compared, based on the comparison operator, to determine whether the condition is satisfied for a given database value corresponding to the field; (ii) receiving, from the user, a name for the reusable query component; and (iii) receiving, from the user, an access level to assign to the reusable query component, wherein the access level indicates a privilege level required for a user in order for the reusable query component to be made available to the user for use in building in a database query, and wherein the access level is specific to the reusable query component; (iv) associating the one or more query conditions with the specified name and the specified access level; and (v) storing the one or more query conditions, the specified name, and the specified access level; wherein the storing comprises storing XML representations of the one or more query conditions, the specified access level, and the specified name in a database for later retrieval; receiving a request to include at least two of the plurality of reusable query component in abstract query, wherein the request specifies the respective name of the at least two reusable query components; and upon determining that the request satisfies the respective specified access level for the reusable query components, including all of the respective query conditions of the reusable query components in the abstract query, responsive to the request. 6. The computer-readable storage medium of claim 3 , wherein providing a graphical user interface (GUI) screen displaying a list of the one or more reusable query components comprises displaying a description for each of the one or more reusable query components.
| 0.556 |
12. A computer program recorded on a non-transitory computer-readable recording medium included in an accuracy enhancing authentication computer system for enhancing the accuracy of network-based authentication transaction results, the computer program being comprised of instructions, which when read and executed by the accuracy enhancing authentication computer system, cause the accuracy enhancing authentication computer system to perform at least the following operations: determine at least one enrollment phrase from an enrollment phrase registry and at least one new verification phrase for a desired transaction, the at least one enrollment phrase being an authentication data requirement; capture authentication data in accordance with the authentication data requirement and biometric data for the at least one new verification phrase from a user; and after successfully authenticating the user with authentication data captured from the user in accordance with the authentication data requirement, add the at least one new verification phrase to the enrollment phrase registry.
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12. A computer program recorded on a non-transitory computer-readable recording medium included in an accuracy enhancing authentication computer system for enhancing the accuracy of network-based authentication transaction results, the computer program being comprised of instructions, which when read and executed by the accuracy enhancing authentication computer system, cause the accuracy enhancing authentication computer system to perform at least the following operations: determine at least one enrollment phrase from an enrollment phrase registry and at least one new verification phrase for a desired transaction, the at least one enrollment phrase being an authentication data requirement; capture authentication data in accordance with the authentication data requirement and biometric data for the at least one new verification phrase from a user; and after successfully authenticating the user with authentication data captured from the user in accordance with the authentication data requirement, add the at least one new verification phrase to the enrollment phrase registry. 13. A computer program in accordance with claim 12 further comprising instructions, which when read and executed by the accuracy enhancing authentication computer system, cause the accuracy enhancing authentication computer system to store the captured verification phrase biometric data in a user enrollment data record.
| 0.542579 |
1. A method comprising: receiving, via one or more user interfaces of a production manager, cue assignment data specifying at least a music cue and a scene of a media production at a time when a first edit of the media production is active, wherein, when the first edit of the media production is active, the one or more user interfaces are configured to one or more of: display information pertaining to the first edit or allow modification of the first edit; storing a particular record in a database that specifies the music cue, the scene, and an identifier for the first edit of the media production based on the cue assignment data, wherein the music cue and the scene are from the active first edit of the media production; activating a second edit of the media production, wherein, as a result of the activating, the one or more user interfaces are configured to one or more of: display information pertaining to the second edit or allow modification of the second edit, wherein the first edit and the second edit represent different saved versions of the media production; receiving, via the one or more user interfaces of the production manager, an instruction to reactivate the first edit of the media production; in response to receiving the instruction to reactivate the first edit of the media production: the production manager retrieving one or more records from the database, including the particular record, that specify the identifier for the first edit of the media production and reactivating the first edit of the media production based on the one or more records; wherein the method is performed by one or more computing devices.
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1. A method comprising: receiving, via one or more user interfaces of a production manager, cue assignment data specifying at least a music cue and a scene of a media production at a time when a first edit of the media production is active, wherein, when the first edit of the media production is active, the one or more user interfaces are configured to one or more of: display information pertaining to the first edit or allow modification of the first edit; storing a particular record in a database that specifies the music cue, the scene, and an identifier for the first edit of the media production based on the cue assignment data, wherein the music cue and the scene are from the active first edit of the media production; activating a second edit of the media production, wherein, as a result of the activating, the one or more user interfaces are configured to one or more of: display information pertaining to the second edit or allow modification of the second edit, wherein the first edit and the second edit represent different saved versions of the media production; receiving, via the one or more user interfaces of the production manager, an instruction to reactivate the first edit of the media production; in response to receiving the instruction to reactivate the first edit of the media production: the production manager retrieving one or more records from the database, including the particular record, that specify the identifier for the first edit of the media production and reactivating the first edit of the media production based on the one or more records; wherein the method is performed by one or more computing devices. 2. The method of claim 1 , further comprising: when the first edit of the media production is active, causing the one or more user interfaces to display the information pertaining to the first edit; when the second edit of the media production is active, causing the one or more user interfaces to display information pertaining to the second edit.
| 0.66021 |
6. The system of claim 1 , wherein combining the convolution outputs comprises: summing, for each of the multiple filters, the convolution outputs obtained for different channels using the filter to generate summed outputs corresponding to different time periods; and pooling, for each of the multiple filters, the summed outputs across the different time periods to generated a set of pooled values for the filter.
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6. The system of claim 1 , wherein combining the convolution outputs comprises: summing, for each of the multiple filters, the convolution outputs obtained for different channels using the filter to generate summed outputs corresponding to different time periods; and pooling, for each of the multiple filters, the summed outputs across the different time periods to generated a set of pooled values for the filter. 8. The system of claim 6 , wherein combining the convolution outputs comprises applying a rectified non-linearity to the sets of pooled values for each of the multiple filters to obtain rectified values; wherein inputting the combined convolution outputs to the deep neural network comprises inputting the rectified values to the deep neural network.
| 0.780553 |
15. A computer system comprising: a processor; and a storage device connected to the processor, wherein the storage device has stored thereon a computer application model conflict reconciling program for controlling the processor, wherein the computer application models include i) an initial source computer application model, ii) an initial target computer application model generated by applying at least one transformation rule to the initial source computer application model, iii) a post-change target model produced by at least one change to the initial target model, and iv) a post-change source model produced by at least one change to the initial source model, and wherein the processor is operative with the program to execute the program for performing: automatically dividing the initial source and target models and the post-change source and target models into segments responsive to at least one segmentation rule, wherein the at least one segmentation rule is defined responsive to the at least one transformation rule such that use of the at least one segmentation rule divides the initial source and target models into corresponding, isomorphic segments, wherein the initial source and target models have an isomorphic structure in common on which to mark changes; automatically identifying change statuses of the initial segments relative to the post-change segments of the respective models responsive to comparing initial segments to post-change segments of the source model and initial segments to post-change segments of the target model; and automatically generating, on a data structure representing the in-common isomorphic structure, an indication of conflicts between the post-change source model and post-change target model for presentation to a user or to a computer automated conflict settlement process, wherein the generating is responsive to comparing the identified change statuses of the corresponding, isomorphic segments of the initial source model and initial target model, wherein at least part of the identifying and generating occurs after changes to both the initial source model and the initial target model.
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15. A computer system comprising: a processor; and a storage device connected to the processor, wherein the storage device has stored thereon a computer application model conflict reconciling program for controlling the processor, wherein the computer application models include i) an initial source computer application model, ii) an initial target computer application model generated by applying at least one transformation rule to the initial source computer application model, iii) a post-change target model produced by at least one change to the initial target model, and iv) a post-change source model produced by at least one change to the initial source model, and wherein the processor is operative with the program to execute the program for performing: automatically dividing the initial source and target models and the post-change source and target models into segments responsive to at least one segmentation rule, wherein the at least one segmentation rule is defined responsive to the at least one transformation rule such that use of the at least one segmentation rule divides the initial source and target models into corresponding, isomorphic segments, wherein the initial source and target models have an isomorphic structure in common on which to mark changes; automatically identifying change statuses of the initial segments relative to the post-change segments of the respective models responsive to comparing initial segments to post-change segments of the source model and initial segments to post-change segments of the target model; and automatically generating, on a data structure representing the in-common isomorphic structure, an indication of conflicts between the post-change source model and post-change target model for presentation to a user or to a computer automated conflict settlement process, wherein the generating is responsive to comparing the identified change statuses of the corresponding, isomorphic segments of the initial source model and initial target model, wherein at least part of the identifying and generating occurs after changes to both the initial source model and the initial target model. 16. The computer system of claim 15 , wherein identifying change statuses includes: identifying, for the respective source and target models, correspondence among the initial and post-change segments.
| 0.740025 |
1. A computer-implemented method for video analytics object detection optimization, the method comprising executing on a processing unit the steps of: acquiring video image data over time from a plurality of synchronized cameras having overlapping views of a plurality of objects moving past the cameras and through a scene image in a linear array and with a determined speed; generating for each camera a plurality of object detection states that each have different times of frames of the acquired video image data within a plurality of frames of the camera video stream data, wherein each of the object detection states are associated with a confidence score; selecting ones of the plurality of object detection states for each of the different times that have a highest confidence score optimized by using a global energy function to find maximum unary potentials (ψ(s k t )) of the object detection states as a function of a cross-frame constraint that is defined by other confidence scores of other object detection states from the video data that are acquired by a same one of the cameras at different times from a time of the object detection state, and of a cross-view constraint (T(s k t , s l t ) that is defined by other confidence scores of other object detection states in the video data from another different one of the cameras that has an overlapping field-of-view with the same one camera and that are also acquired at the different times; and defining an optimal state path for a detection of an object from an initial time to a final time of a duration period comprising the selected ones of the plurality of object detection states that have the highest optimized confidence scores; and wherein the unary potentials ψ(s k t ) are determined according to:
ψ( s k t )= f ( s k t )Π t≠k T ( s k t ,s l t ); where f(s k t ) is a confidence score of an object state {s k t } returned by an object detector at view {k}; and the processing unit determining the cross-view spatial constraint as a function of the unary potential according to: T ( s k t , s l t ) = max ( N ( s k t - s l t ; θ kl ) , N ( s k t - s l t + ∈ ; θ kl ) ) ; wherein θ kt =[μ v (k, l), Σ v (k,l)] for views {k} and {l}; “μ v ” is a four-by-four matrix of mean values; Σ v ” is a four-by-four covariance matrix; and “ε” is a cross-object spatial constraint that represents an object spacing constant defined by a sequential context of the linear array of the objects determined as a function of spatial attributes of the objects relative to the determined speed of the movement of the cameras relative to the objects.
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1. A computer-implemented method for video analytics object detection optimization, the method comprising executing on a processing unit the steps of: acquiring video image data over time from a plurality of synchronized cameras having overlapping views of a plurality of objects moving past the cameras and through a scene image in a linear array and with a determined speed; generating for each camera a plurality of object detection states that each have different times of frames of the acquired video image data within a plurality of frames of the camera video stream data, wherein each of the object detection states are associated with a confidence score; selecting ones of the plurality of object detection states for each of the different times that have a highest confidence score optimized by using a global energy function to find maximum unary potentials (ψ(s k t )) of the object detection states as a function of a cross-frame constraint that is defined by other confidence scores of other object detection states from the video data that are acquired by a same one of the cameras at different times from a time of the object detection state, and of a cross-view constraint (T(s k t , s l t ) that is defined by other confidence scores of other object detection states in the video data from another different one of the cameras that has an overlapping field-of-view with the same one camera and that are also acquired at the different times; and defining an optimal state path for a detection of an object from an initial time to a final time of a duration period comprising the selected ones of the plurality of object detection states that have the highest optimized confidence scores; and wherein the unary potentials ψ(s k t ) are determined according to:
ψ( s k t )= f ( s k t )Π t≠k T ( s k t ,s l t ); where f(s k t ) is a confidence score of an object state {s k t } returned by an object detector at view {k}; and the processing unit determining the cross-view spatial constraint as a function of the unary potential according to: T ( s k t , s l t ) = max ( N ( s k t - s l t ; θ kl ) , N ( s k t - s l t + ∈ ; θ kl ) ) ; wherein θ kt =[μ v (k, l), Σ v (k,l)] for views {k} and {l}; “μ v ” is a four-by-four matrix of mean values; Σ v ” is a four-by-four covariance matrix; and “ε” is a cross-object spatial constraint that represents an object spacing constant defined by a sequential context of the linear array of the objects determined as a function of spatial attributes of the objects relative to the determined speed of the movement of the cameras relative to the objects. 3. The method of claim 1 , further comprising: determining the cross-frame constraint (Φ(s k t , s l t+1 ) according to: Φ ( s k t , s l t + 1 ) = max ( ( F ( s k t - s l t + 1 ; λ ) , ( F ( s k t - s l t + 1 + ∈ ; λ ) ) ; wherein λ=[μ f , σ f , μ v , Σ v , τ], (μ f , σ f ) and models a Gaussian distribution of an object state at a next frame given its state at the previous frame; “τ” is the determined speed of the movement of the cameras relative to the objects; and F( ) is a distance function that computes a matching score for each pair of object states (s k t , s l t+1 ), given an object state (s k t ) at frame (t), and (s l t+1 ) at frame (t+1), wherein (k) and (l) may be different views, and wherein (s k t ) and (s l t+1 ) may correspond to a same object or to two different, adjacent objects.
| 0.549471 |
66. A system comprising: one or more computers; and a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving a search query; generating first search results that identify resources that a search engine has identified as being responsive to the search query; identifying one or more search modes based on the search query, the resources, or both the search query and the resources; providing a first user interface that presents for display at least a portion of the first search results and a respective search mode selector for each of one or more of the identified one or more search modes; receiving user input selecting a first search mode by selecting one of the search mode selectors, wherein: the first search mode is associated with a first collection of records, all records in the first collection have a common attribute structure of data elements, the first search results identify resources that the search engine has identified from a corpus of resources as being responsive to the search query, and all records in the corpus do not have the common attribute structure of data elements; generating second search results that satisfy the search query and that refer to mode-specific records from the first collection of records that are associated with the first search mode, each of the one or more search modes being associated with a particular collection of records from among multiple collections of records; formatting a plurality of the second search results using a mode-specific presentation template that is associated with the first search mode to generate formatted search results; and providing a second user interface that presents for display the formatted search results.
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66. A system comprising: one or more computers; and a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving a search query; generating first search results that identify resources that a search engine has identified as being responsive to the search query; identifying one or more search modes based on the search query, the resources, or both the search query and the resources; providing a first user interface that presents for display at least a portion of the first search results and a respective search mode selector for each of one or more of the identified one or more search modes; receiving user input selecting a first search mode by selecting one of the search mode selectors, wherein: the first search mode is associated with a first collection of records, all records in the first collection have a common attribute structure of data elements, the first search results identify resources that the search engine has identified from a corpus of resources as being responsive to the search query, and all records in the corpus do not have the common attribute structure of data elements; generating second search results that satisfy the search query and that refer to mode-specific records from the first collection of records that are associated with the first search mode, each of the one or more search modes being associated with a particular collection of records from among multiple collections of records; formatting a plurality of the second search results using a mode-specific presentation template that is associated with the first search mode to generate formatted search results; and providing a second user interface that presents for display the formatted search results. 68. The system of claim 66 , wherein: the first search mode is associated with the first collection of records that share the common attribute structure; a second of the search modes is associated with a second collection of records that share a second common attribute structure; and the common attribute structure is different from the second common attribute structure.
| 0.576631 |
3. The method according to claim 1 , further comprising: adjusting, for at least one of the plurality of rhythm pieces, at least one emotion score in the plurality of emotion scores according to a context of the rhythm piece; and determining the final emotion score and the final emotion category of the rhythm piece based on the plurality of emotion scores comprising the at least one emotion score that has been adjusted.
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3. The method according to claim 1 , further comprising: adjusting, for at least one of the plurality of rhythm pieces, at least one emotion score in the plurality of emotion scores according to a context of the rhythm piece; and determining the final emotion score and the final emotion category of the rhythm piece based on the plurality of emotion scores comprising the at least one emotion score that has been adjusted. 4. The method according to claim 3 , wherein adjusting the at least one emotion score further comprises: adjusting the at least one emotion score based on an emotion vector adjustment decision tree, wherein the emotion vector adjustment decision tree is established based on emotion vector adjustment training data.
| 0.8583 |
12. An object recognition system incorporating swarming domain classifiers as set forth in claim 11 , wherein each agent includes a classifier selected from a group consisting of Haar wavelet, fuzzy symmetry, decision tree, correlators, and a back-propagation neural network classification engine.
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12. An object recognition system incorporating swarming domain classifiers as set forth in claim 11 , wherein each agent includes a classifier selected from a group consisting of Haar wavelet, fuzzy symmetry, decision tree, correlators, and a back-propagation neural network classification engine. 13. An object recognition system incorporating swarming domain classifiers as set forth in claim 12 , wherein the multi-dimensional solution space consists of the dimensions (x, y, z), size, scale, internal classifier parameters, object rotation angle, and time.
| 0.94895 |
1. A system comprising: at least one processor; a memory; and an intrusion prevention mechanism stored in the memory and including instructions, which are executable by the at least one processor and include an analysis engine configured to tokenize an input stream of data into a plurality of parts including a first one or more parts and a second one or more parts, and select the first one or more parts for analysis, wherein the analysis engine includes one or more protocol parsers, and wherein the one or more protocol parsers analyze the first one or more parts, and a generic decoder configured to operate based on generic application-level protocol analysis language primitives, wherein the generic decoder is configured to assist the one or more protocol parsers of the analysis engine by analyzing the second one or more parts, having a same protocol as the first one or more parts and not analyzed by the analysis engine, for a signature, wherein the analyzing of the second one or more parts includes searching the second one or more parts for a first predetermined pattern, and generate an error signal in response to matching the first predetermined pattern in the second one or more parts, wherein the signature is detected in response to the pattern being matched in the second one or more parts, and wherein the primitives include at least one of a primitive configured for pattern matching, a primitive configured for skipping a first predetermined number of bytes to search for the first predetermined pattern, a primitive configured for specifying a window in which at least one pattern is to be searched, a primitive configured for using a regular expression for pattern matching, or a primitive configured for reading a value and moving within the first one or more parts based on that value.
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1. A system comprising: at least one processor; a memory; and an intrusion prevention mechanism stored in the memory and including instructions, which are executable by the at least one processor and include an analysis engine configured to tokenize an input stream of data into a plurality of parts including a first one or more parts and a second one or more parts, and select the first one or more parts for analysis, wherein the analysis engine includes one or more protocol parsers, and wherein the one or more protocol parsers analyze the first one or more parts, and a generic decoder configured to operate based on generic application-level protocol analysis language primitives, wherein the generic decoder is configured to assist the one or more protocol parsers of the analysis engine by analyzing the second one or more parts, having a same protocol as the first one or more parts and not analyzed by the analysis engine, for a signature, wherein the analyzing of the second one or more parts includes searching the second one or more parts for a first predetermined pattern, and generate an error signal in response to matching the first predetermined pattern in the second one or more parts, wherein the signature is detected in response to the pattern being matched in the second one or more parts, and wherein the primitives include at least one of a primitive configured for pattern matching, a primitive configured for skipping a first predetermined number of bytes to search for the first predetermined pattern, a primitive configured for specifying a window in which at least one pattern is to be searched, a primitive configured for using a regular expression for pattern matching, or a primitive configured for reading a value and moving within the first one or more parts based on that value. 10. The system of claim 1 , wherein the generic decoder is configured to store variable data.
| 0.659792 |
19. A non-transitory computer-readable storage medium having instructions stored thereon, which instructions when executed by one or more microprocessors cause a user's computing device to: register a capability of a first application installed on the user's computing device to process document URLs of a specific type, the first application configured for native operation outside of a web browser on the user's computing device, wherein the web browser on a user's computing device tracks a declaration of a document URL type in a manifest of the first application of the capability of the first application to open a document corresponding to a document URL which conforms to the declared document URL type, and wherein the web browser maintains a registry of document URL types associated with applications including the first application installed on the user's computing device, the document URL types representing types of document URLs that the applications are coded to open or process, the registry of document URLs types being maintained as a table of the declared document URL types registered by the applications; when a navigation event on the user's computing device leads to a navigated-to-document URL that is of the specific type of document URLs registered to the first application on the user's computing device, present a selection dialog permitting the user to select whether the first application should be launched outside the web browser to process the navigated-to-document URL to open the document; and based on the user selection in the selection dialog, redirect the navigated-to-document URL to the first application and launch the application on the user's computing device to open the document corresponding to the navigated-to-document URL by one of using the navigated-to-document URL redirected to the first application to extract the document from the navigated-to-document URL and using the redirected URL as a unique ID to extract the document from a local cache.
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19. A non-transitory computer-readable storage medium having instructions stored thereon, which instructions when executed by one or more microprocessors cause a user's computing device to: register a capability of a first application installed on the user's computing device to process document URLs of a specific type, the first application configured for native operation outside of a web browser on the user's computing device, wherein the web browser on a user's computing device tracks a declaration of a document URL type in a manifest of the first application of the capability of the first application to open a document corresponding to a document URL which conforms to the declared document URL type, and wherein the web browser maintains a registry of document URL types associated with applications including the first application installed on the user's computing device, the document URL types representing types of document URLs that the applications are coded to open or process, the registry of document URLs types being maintained as a table of the declared document URL types registered by the applications; when a navigation event on the user's computing device leads to a navigated-to-document URL that is of the specific type of document URLs registered to the first application on the user's computing device, present a selection dialog permitting the user to select whether the first application should be launched outside the web browser to process the navigated-to-document URL to open the document; and based on the user selection in the selection dialog, redirect the navigated-to-document URL to the first application and launch the application on the user's computing device to open the document corresponding to the navigated-to-document URL by one of using the navigated-to-document URL redirected to the first application to extract the document from the navigated-to-document URL and using the redirected URL as a unique ID to extract the document from a local cache. 21. The non-transitory computer-readable storage medium of claim 19 , wherein the instructions when executed by one or more microprocessors cause the user's computing device to: recognize a rule identifying the specific type of the document URLs in a manifest file of the application.
| 0.511843 |
2. The method of claim 1 , further comprising: using the model, performing automatic speech recognition of the utterance data not having a corresponding manual transcription to produce a new set of automatically transcribed utterances; training a second model using the first manually transcribed data and the second manually transcribed data and the new set of automatically transcribed utterances; selecting another predetermined number of utterances not having a corresponding manual transcription; and manually transcribing the selected another predetermined number of utterances not having a corresponding manual transcription.
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2. The method of claim 1 , further comprising: using the model, performing automatic speech recognition of the utterance data not having a corresponding manual transcription to produce a new set of automatically transcribed utterances; training a second model using the first manually transcribed data and the second manually transcribed data and the new set of automatically transcribed utterances; selecting another predetermined number of utterances not having a corresponding manual transcription; and manually transcribing the selected another predetermined number of utterances not having a corresponding manual transcription. 3. The method of claim 2 , further comprising: determining confidence scores with respect to the new set of automatically transcribed utterances, wherein: the act of selecting a predetermined number of utterances not having a corresponding manual transcription is based on the confidence scores.
| 0.807012 |
138. The system of claim 130 , wherein controlling the component comprises controlling a three-space object in six degrees of freedom simultaneously by mapping the gesture to the three-space object, wherein the plurality of objects includes the three-space object.
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138. The system of claim 130 , wherein controlling the component comprises controlling a three-space object in six degrees of freedom simultaneously by mapping the gesture to the three-space object, wherein the plurality of objects includes the three-space object. 141. The system of claim 138 , comprising controlling movement of the three-space object by mapping a plurality of gestures to a plurality of object translations of the three-space object.
| 0.84593 |
8. A method of achieving automatic language recognition, that comprises: introducing language in the form of strings to a mechanism that converts the same to electrical signals derived from the strings introduced, which electrical signals are the electrical analog of words in the strings; analyzing the electrical signals to achieve automatic recognition of the individual letters in a word of the text on the basis of an integration of a. channel characteristics in the form of probabilities that the particular letter is a corruption of another letter; b. the probabilities of the particular letter occurring serially with other recognized letters that precede the letter being analyzed, and c. lexical information in the form of acceptable words represented as a graph structure; and presenting as output a reproduction of the test so introduced and analyzed.
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8. A method of achieving automatic language recognition, that comprises: introducing language in the form of strings to a mechanism that converts the same to electrical signals derived from the strings introduced, which electrical signals are the electrical analog of words in the strings; analyzing the electrical signals to achieve automatic recognition of the individual letters in a word of the text on the basis of an integration of a. channel characteristics in the form of probabilities that the particular letter is a corruption of another letter; b. the probabilities of the particular letter occurring serially with other recognized letters that precede the letter being analyzed, and c. lexical information in the form of acceptable words represented as a graph structure; and presenting as output a reproduction of the test so introduced and analyzed. 12. A method according to claim 8 in which the strings are introduced as a speech input.
| 0.665061 |
1. A method comprising: receiving, by one or more processors, social feed data, the social feed data configured to cause a client device of a first user to display a social feed in a first language; determining, by at least one of the one or more processors, a location of the client device displaying the social feed; receiving, by at least one of the one or more processors, a user identifier of the first user; parsing, by at least one of the one or more processors, the social feed data based on the user identifier to determine a social activity of the first user; parsing the social feed data based on relationships of the first user to identify a first portion of the social feed that has been acted on by one or more users having a particular type of relationship with the first user; determining, by at least one of the one or more processors, a second language based on the location and the social activity of the first user; translating, by at least one of the one or more processor, the social feed data that is associated with the first portion of the social feed so that the translated social feed data causes the client device to display the first portion translated from the first language into the second language; and transmitting the translated social feed data to the client device.
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1. A method comprising: receiving, by one or more processors, social feed data, the social feed data configured to cause a client device of a first user to display a social feed in a first language; determining, by at least one of the one or more processors, a location of the client device displaying the social feed; receiving, by at least one of the one or more processors, a user identifier of the first user; parsing, by at least one of the one or more processors, the social feed data based on the user identifier to determine a social activity of the first user; parsing the social feed data based on relationships of the first user to identify a first portion of the social feed that has been acted on by one or more users having a particular type of relationship with the first user; determining, by at least one of the one or more processors, a second language based on the location and the social activity of the first user; translating, by at least one of the one or more processor, the social feed data that is associated with the first portion of the social feed so that the translated social feed data causes the client device to display the first portion translated from the first language into the second language; and transmitting the translated social feed data to the client device. 5. The method of claim 1 , wherein the client device includes at least one of a browser and a display application that displays the social feed and receives the translated social feed.
| 0.608212 |
13. A system, comprising: one or more processors; and a memory that includes one or more software components that are executable by the one or more processors to: parse a text instruction in a text-based document of an application to identify a noun that corresponds to a user interface (UI) element of the application and a related verb that corresponds to an operation action performed on the UI element; in response to being unable to parse the text instruction for the related verb, prompt a user, via a user interface (UI), to manually enter the related verb or to select the operation action that corresponds to the related verb; receive, via the user interface (UI), one of the manual entry of the related verb or a selection of the operation action; generate, based at least in part on the noun and the related verb, an operation record from the text-based help document of the application, the operation record including data for animating the operation action that is able to be performed on the user interface (UI) element of the application as described in the text-based help document; modify the text-based help document to generate an enhanced help document including a control that loads the operation record; play an animation of the operation action that is able to be performed on the UI element upon activation of the control in the enhanced help document, the animation including a visualization of one or more steps for completing the operation action; and present an option menu to enable a user to, upon completion of playing the animation of the operation action, retain the operation action performed and undo the operation action performed.
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13. A system, comprising: one or more processors; and a memory that includes one or more software components that are executable by the one or more processors to: parse a text instruction in a text-based document of an application to identify a noun that corresponds to a user interface (UI) element of the application and a related verb that corresponds to an operation action performed on the UI element; in response to being unable to parse the text instruction for the related verb, prompt a user, via a user interface (UI), to manually enter the related verb or to select the operation action that corresponds to the related verb; receive, via the user interface (UI), one of the manual entry of the related verb or a selection of the operation action; generate, based at least in part on the noun and the related verb, an operation record from the text-based help document of the application, the operation record including data for animating the operation action that is able to be performed on the user interface (UI) element of the application as described in the text-based help document; modify the text-based help document to generate an enhanced help document including a control that loads the operation record; play an animation of the operation action that is able to be performed on the UI element upon activation of the control in the enhanced help document, the animation including a visualization of one or more steps for completing the operation action; and present an option menu to enable a user to, upon completion of playing the animation of the operation action, retain the operation action performed and undo the operation action performed. 16. The system of claim 13 , wherein the one or more components are further executable to generate the operation record at least by parsing a text instruction in the text-based help document for a noun that corresponds to the user interface (UI) element and a related verb that corresponds to the operation action performed on the user interface (UI) element.
| 0.658613 |
1. A system configured to generate a situation-dependent library, comprising: at least one processor and at least one memory, the at least one processor and the at least one memory cooperating to function as: a machine learning trainer configured to receive samples comprising temporal windows of token instances to which a user was exposed and situation identifiers corresponding to situations the user was in while being exposed to the temporal windows; wherein the token instances have overlapping instantiation periods and are spread over a period of time that spans at least a day, and the situation identifiers comprise situation identifiers for first and second situations; the machine learning trainer is further configured to receive target values corresponding to the temporal windows of token instances; the target values represent affective responses of the user to the token instances from the temporal windows of token instances; the machine learning trainer is further configured to train first and second situation-dependent machine learning-based user response models based on respective first and second datasets; wherein the first and second datasets are obtained from partitioning the samples according to the situations the user was in when exposed to the temporal windows of token instances corresponding to the samples; and wherein the first dataset comprises samples comprising situation identifiers for the first situation and corresponding target values, and the second dataset comprises samples comprising situation identifiers for the second situation and corresponding target values; and a model analyzer configured to generate, based on the first and second situation-dependent machine learning-based user response models, the situation-dependent library which describes a first set of expected affective responses of the user to certain tokens while being in the first situation, and a second set of expected affective responses of the user to the certain tokens while being in the second situation; wherein the first set is not identical to the second set, and wherein at least some of the token instances from the temporal windows of token instances are instantiations of the certain tokens.
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1. A system configured to generate a situation-dependent library, comprising: at least one processor and at least one memory, the at least one processor and the at least one memory cooperating to function as: a machine learning trainer configured to receive samples comprising temporal windows of token instances to which a user was exposed and situation identifiers corresponding to situations the user was in while being exposed to the temporal windows; wherein the token instances have overlapping instantiation periods and are spread over a period of time that spans at least a day, and the situation identifiers comprise situation identifiers for first and second situations; the machine learning trainer is further configured to receive target values corresponding to the temporal windows of token instances; the target values represent affective responses of the user to the token instances from the temporal windows of token instances; the machine learning trainer is further configured to train first and second situation-dependent machine learning-based user response models based on respective first and second datasets; wherein the first and second datasets are obtained from partitioning the samples according to the situations the user was in when exposed to the temporal windows of token instances corresponding to the samples; and wherein the first dataset comprises samples comprising situation identifiers for the first situation and corresponding target values, and the second dataset comprises samples comprising situation identifiers for the second situation and corresponding target values; and a model analyzer configured to generate, based on the first and second situation-dependent machine learning-based user response models, the situation-dependent library which describes a first set of expected affective responses of the user to certain tokens while being in the first situation, and a second set of expected affective responses of the user to the certain tokens while being in the second situation; wherein the first set is not identical to the second set, and wherein at least some of the token instances from the temporal windows of token instances are instantiations of the certain tokens. 3. The system of claim 1 , wherein the target values are derived from values of user measurement channels of the user, and the situation-dependent library expresses the expected responses to the tokens in terms of values of the user measurement channels.
| 0.561162 |
15. A method performed by one or more server devices, comprising: receiving, at one or more processors of the one or more server devices, a same search query from a plurality of users via a plurality of client devices; identifying, by one or more processors of the one or more server devices, search result documents based on the search query; providing, by one or more processors of the one or more server devices, information regarding the search result documents to the users; receiving, by one or more processors of the one or more server devices, information regarding which of the search result documents were selected by the users; determining, by one or more processors of the one or more server devices, whether a majority of the selections were selections for a particular one of the search result documents; assigning, by one or more processors of the one or more server devices, a value to the particular search result document when a majority of the selections were selections for the particular search result document, where a quantity of the values assigned to the particular search result document is restricted over a given period of time; assigning, by one or more processors of the one or more server devices, no value to the particular search result document when there is no majority of selections for the particular search result document; and using, by one or more processors of the one or more server devices, the assigned value as one factor of a plurality of factors for determining a measure of quality for the particular search result document in subsequently received search queries.
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15. A method performed by one or more server devices, comprising: receiving, at one or more processors of the one or more server devices, a same search query from a plurality of users via a plurality of client devices; identifying, by one or more processors of the one or more server devices, search result documents based on the search query; providing, by one or more processors of the one or more server devices, information regarding the search result documents to the users; receiving, by one or more processors of the one or more server devices, information regarding which of the search result documents were selected by the users; determining, by one or more processors of the one or more server devices, whether a majority of the selections were selections for a particular one of the search result documents; assigning, by one or more processors of the one or more server devices, a value to the particular search result document when a majority of the selections were selections for the particular search result document, where a quantity of the values assigned to the particular search result document is restricted over a given period of time; assigning, by one or more processors of the one or more server devices, no value to the particular search result document when there is no majority of selections for the particular search result document; and using, by one or more processors of the one or more server devices, the assigned value as one factor of a plurality of factors for determining a measure of quality for the particular search result document in subsequently received search queries. 16. The method of claim 15 , where a quantity of the value assigned to the particular search result document for the same search query is limited.
| 0.664306 |
15. A method to be performed in a process of a user modeling a data element, the method comprising: receiving a first user input made under guidance of a modeling tool in a graphical user interface (GUI), the input selecting one of several predefined data elements configured for use by a sender system in identifying information portions in electronic communications such that the information portions are automatically displayed and used by a receiver system to interpret contents of the electronic communications, each of the data elements being associated with semantic information indicating their definition and intended use, the receiver system using the semantic information to display and interpret the electronic communications, wherein the data elements identify corresponding ones of the information portions according to the semantic information; presenting, in the GUI and in response to the first user input, a representation of the selected predefined data element, the representation containing the semantic information; and modifying at least one aspect of the semantic information of the predefined data element and not the information portions based on a second user input made under guidance of the modeling tool, wherein the predefined data element associated with the modified semantic information is stored in a repository and accessed there by the receiver system.
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15. A method to be performed in a process of a user modeling a data element, the method comprising: receiving a first user input made under guidance of a modeling tool in a graphical user interface (GUI), the input selecting one of several predefined data elements configured for use by a sender system in identifying information portions in electronic communications such that the information portions are automatically displayed and used by a receiver system to interpret contents of the electronic communications, each of the data elements being associated with semantic information indicating their definition and intended use, the receiver system using the semantic information to display and interpret the electronic communications, wherein the data elements identify corresponding ones of the information portions according to the semantic information; presenting, in the GUI and in response to the first user input, a representation of the selected predefined data element, the representation containing the semantic information; and modifying at least one aspect of the semantic information of the predefined data element and not the information portions based on a second user input made under guidance of the modeling tool, wherein the predefined data element associated with the modified semantic information is stored in a repository and accessed there by the receiver system. 16. The method of claim 15 , wherein the modification comprises adding another data element to a group of data elements that make up the selected data element.
| 0.5 |
3. The communication system of claim 1 wherein at least one of the first communication terminal, the first communication device, and the second communication terminal is configured such that the first text data of the first audio answer is associated with an object representing the first audio question.
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3. The communication system of claim 1 wherein at least one of the first communication terminal, the first communication device, and the second communication terminal is configured such that the first text data of the first audio answer is associated with an object representing the first audio question. 5. The communication system of claim 3 wherein the first communication device is a switch device or a server computer device, the first communication terminal is one of a caller communication terminal and an agent communication terminal and the second communication terminal is the other of the caller communication terminal and the agent communication terminal.
| 0.932185 |
6. One or more computer readable storage devices comprising computer executable instructions that, when executed by a computer processor, direct the computer processor to perform operations including: receiving a query including an image; automatically collecting at least one visually similar image to the included image and text from a file containing the visually similar image, the text being in a proximity of the visually similar image within the file; determining a name of an entity in the included image based on the collecting; and outputting the name of the entity.
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6. One or more computer readable storage devices comprising computer executable instructions that, when executed by a computer processor, direct the computer processor to perform operations including: receiving a query including an image; automatically collecting at least one visually similar image to the included image and text from a file containing the visually similar image, the text being in a proximity of the visually similar image within the file; determining a name of an entity in the included image based on the collecting; and outputting the name of the entity. 7. The one or more computer readable storage devices of claim 6 , wherein the image is a face image and the entity is a person.
| 0.701036 |
5. The method of providing parameterized queries in CEP as in claim 4 , wherein the providing of the sets of parameters corresponding to the one or more bind variables is performed statically by using a config file at deployment time of the query template.
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5. The method of providing parameterized queries in CEP as in claim 4 , wherein the providing of the sets of parameters corresponding to the one or more bind variables is performed statically by using a config file at deployment time of the query template. 7. The method of providing parameterized queries in CEP as in claim 5 , wherein the config file includes one or more of the following: application association, processor association, query rules, the query template, the sets of parameters, or the bindings.
| 0.911765 |
15. The device of claim 14 , wherein the document text appearing to the user varies with time.
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15. The device of claim 14 , wherein the document text appearing to the user varies with time. 16. The device of claim 15 , wherein the text includes news bulletins, weather, sports scores or stock transaction or pricing information.
| 0.940789 |
1. A method for applying an animation to a visual representation of a user, the method comprising: selecting a first animation from a plurality of stored animations, based on a first image indicative of a user presently being in a physical capture area, the first image being received from a capture device; applying the first animation to a visual representation of the user on a display device; updating at least one animation of the plurality of stored animations based at least in part on a characteristic of the user identified based at least in part on the first image; in response to determining from a second image of the physical capture area that the user is not located in the physical capture area, selecting a second animation of the plurality of stored animations based at least in part on a characteristic of the user from a prior image indicative of the user in the physical capture area or another physical capture area; and in response to determining that a second user is interacting with a computer application in which the visual representation of the user is made, applying the second animation to a visual representation of the user on the display device to animate the visual representation of the user while the user is not located in the physical capture area whereby the visual representation of the user is animated to behave in accordance with the characteristic of the user in the second animation.
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1. A method for applying an animation to a visual representation of a user, the method comprising: selecting a first animation from a plurality of stored animations, based on a first image indicative of a user presently being in a physical capture area, the first image being received from a capture device; applying the first animation to a visual representation of the user on a display device; updating at least one animation of the plurality of stored animations based at least in part on a characteristic of the user identified based at least in part on the first image; in response to determining from a second image of the physical capture area that the user is not located in the physical capture area, selecting a second animation of the plurality of stored animations based at least in part on a characteristic of the user from a prior image indicative of the user in the physical capture area or another physical capture area; and in response to determining that a second user is interacting with a computer application in which the visual representation of the user is made, applying the second animation to a visual representation of the user on the display device to animate the visual representation of the user while the user is not located in the physical capture area whereby the visual representation of the user is animated to behave in accordance with the characteristic of the user in the second animation. 2. The method of claim 1 , wherein the first animation does not correspond to data presently captured by the capture device of the user present in the physical space.
| 0.605735 |
16. The one or more non-transitory computer-readable media of claim 15 , wherein, after a best product for each group is identified, testing the responsiveness of each group to certain vocabularies by sending test messages to at least a subset of users in each group that include an offer for the best product for the group and the certain vocabularies.
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16. The one or more non-transitory computer-readable media of claim 15 , wherein, after a best product for each group is identified, testing the responsiveness of each group to certain vocabularies by sending test messages to at least a subset of users in each group that include an offer for the best product for the group and the certain vocabularies. 17. The one or more non-transitory computer-readable media of claim 16 , wherein, for each group, the message content associated with the group comprises the best product for the group and the vocabulary to which the group is most responsive.
| 0.858604 |
1. A computer implemented method comprising: using structural parsing to extract information from user input comprising a URL or domain name, the information comprising one or more of a protocol, a location, and a subdirectory; using semantic parsing of the information to identify a first one or more concepts represented by one or more tokens within the extracted information; determining whether the domain name can be mapped to one or more concepts in the concept association map by switching term positions or changing numbers; when the domain name can be mapped and if the mapped concepts have high score, identifying the concepts as seed concepts for further querying the concept association map; when the mapped concepts do not have a high enough score, or the domain name cannot be mapped, then determining whether the input domain name can be mapped to a concept in the concept association map by typographical error correction, the correction comprising one or more of insertion, deletion, and switching or replacement of 1 or 2 characters; and when the input domain name cannot be mapped by typographical error correction, or if concepts mapped as a result of typographical error correction do not have a high score, determining how to break the domain name into URL tokens by inserting separators at correction positions and correcting the tokens; querying a concept association map to retrieve a second one or more concepts related to the first one or more concepts, each of the concepts representing a unit of thought, expressed by a term, letter, or symbol, the concept association map comprising a representation of concepts, concept metadata, and relationships between the concepts; ranking the first one or more concepts and the second one or more concepts to create ranked concepts; and storing the ranked concepts for displaying to one or more users of the computer platform.
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1. A computer implemented method comprising: using structural parsing to extract information from user input comprising a URL or domain name, the information comprising one or more of a protocol, a location, and a subdirectory; using semantic parsing of the information to identify a first one or more concepts represented by one or more tokens within the extracted information; determining whether the domain name can be mapped to one or more concepts in the concept association map by switching term positions or changing numbers; when the domain name can be mapped and if the mapped concepts have high score, identifying the concepts as seed concepts for further querying the concept association map; when the mapped concepts do not have a high enough score, or the domain name cannot be mapped, then determining whether the input domain name can be mapped to a concept in the concept association map by typographical error correction, the correction comprising one or more of insertion, deletion, and switching or replacement of 1 or 2 characters; and when the input domain name cannot be mapped by typographical error correction, or if concepts mapped as a result of typographical error correction do not have a high score, determining how to break the domain name into URL tokens by inserting separators at correction positions and correcting the tokens; querying a concept association map to retrieve a second one or more concepts related to the first one or more concepts, each of the concepts representing a unit of thought, expressed by a term, letter, or symbol, the concept association map comprising a representation of concepts, concept metadata, and relationships between the concepts; ranking the first one or more concepts and the second one or more concepts to create ranked concepts; and storing the ranked concepts for displaying to one or more users of the computer platform. 10. The method of claim 1 , further comprising querying an ads bank to obtain one or more ads based on the ranked concepts; and storing the one or more ads for displaying to the one or more users.
| 0.533044 |
28. A computer system comprising a processor, a memory coupled to said processor, and a computer-readable hardware storage device coupled to said processor, said storage device containing program code configured to be run by said processor via the memory to implement a method for the efficient selection of runtime rules for programmable search, said method comprising: said processor translating a plurality of runtime rules into a plurality of fielded documents, wherein a first runtime rule of said plurality of runtime rules comprises a first rule pattern and a first rewrite pattern, wherein said first rule pattern comprises a first set of tokens of a plurality of tokens, and wherein a first fielded document of said plurality of fielded documents comprises said first set of tokens; said processor partitioning said plurality of fielded documents into a plurality of disjoint clusters of fielded documents; said processor converting a first cluster of said plurality of disjoint clusters into a first inverted index of a plurality of inverted indices, wherein said first inverted index associates a first token comprised by said first cluster with a related subset of fielded documents of said first cluster, and wherein a fielded document of said related subset comprises said first token; said processor generating a set of fielded queries as a function of an input query and as a function of said plurality of inverted indices, wherein said set of fielded queries satisfies a set of conditions; said processor selecting a set of candidate rules of said plurality of runtime rules as a function of said set of fielded queries and of said plurality of inverted indices; and said processor identifying a set of applicable rules of said plurality of runtime rules by matching said set of candidate rules against said input query.
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28. A computer system comprising a processor, a memory coupled to said processor, and a computer-readable hardware storage device coupled to said processor, said storage device containing program code configured to be run by said processor via the memory to implement a method for the efficient selection of runtime rules for programmable search, said method comprising: said processor translating a plurality of runtime rules into a plurality of fielded documents, wherein a first runtime rule of said plurality of runtime rules comprises a first rule pattern and a first rewrite pattern, wherein said first rule pattern comprises a first set of tokens of a plurality of tokens, and wherein a first fielded document of said plurality of fielded documents comprises said first set of tokens; said processor partitioning said plurality of fielded documents into a plurality of disjoint clusters of fielded documents; said processor converting a first cluster of said plurality of disjoint clusters into a first inverted index of a plurality of inverted indices, wherein said first inverted index associates a first token comprised by said first cluster with a related subset of fielded documents of said first cluster, and wherein a fielded document of said related subset comprises said first token; said processor generating a set of fielded queries as a function of an input query and as a function of said plurality of inverted indices, wherein said set of fielded queries satisfies a set of conditions; said processor selecting a set of candidate rules of said plurality of runtime rules as a function of said set of fielded queries and of said plurality of inverted indices; and said processor identifying a set of applicable rules of said plurality of runtime rules by matching said set of candidate rules against said input query. 31. The system of claim 28 , wherein a first fielded query of said set of fielded queries is associated with said input query and with said first inverted index, wherein said first fielded query comprises a first conditioned subset of concept tokens of said plurality of tokens, a second conditioned subset of term tokens of said plurality of tokens, and a third conditioned subset of variable tokens of said plurality of tokens, wherein said first conditioned subset is a subset of a set of concept tokens comprised by an intersection of said input query and said first inverted index, wherein said second conditioned subset is a subset of a set of term tokens comprised by an intersection of said input query and said first inverted index, and wherein said third conditioned subset is a subset of a set of variable tokens comprised by said first inverted index.
| 0.525039 |
1. A non-transitory computer readable storage medium having a program stored therein, the program, when executed, causing a computer of an information processing apparatus including storage for storing an option character string database that registers one or more combinations of at least one character and at least one option character string corresponding to the at least one character, to perform operations for outputting only fixed character strings, the operations comprising: receiving an input of one or more characters; displaying, as one or more unfixed characters, the received one or more characters; obtaining, from the option character string database, at least one option character string that corresponds to the one or more unfixed characters and displaying the obtained at least one option character string, wherein the displayed at least one option character string includes only option character strings registered in the option character string database; receiving an input for selecting one of the displayed option character strings, whereby the selected option character string becomes a fixed character string; and outputting the fixed character string, wherein only an option character string selected from the displayed option character strings can be fixed, and only a fixed character string can be output, whereby output of character strings not registered in the option character string database can be prevented.
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1. A non-transitory computer readable storage medium having a program stored therein, the program, when executed, causing a computer of an information processing apparatus including storage for storing an option character string database that registers one or more combinations of at least one character and at least one option character string corresponding to the at least one character, to perform operations for outputting only fixed character strings, the operations comprising: receiving an input of one or more characters; displaying, as one or more unfixed characters, the received one or more characters; obtaining, from the option character string database, at least one option character string that corresponds to the one or more unfixed characters and displaying the obtained at least one option character string, wherein the displayed at least one option character string includes only option character strings registered in the option character string database; receiving an input for selecting one of the displayed option character strings, whereby the selected option character string becomes a fixed character string; and outputting the fixed character string, wherein only an option character string selected from the displayed option character strings can be fixed, and only a fixed character string can be output, whereby output of character strings not registered in the option character string database can be prevented. 9. The computer readable storage medium according to claim 1 , wherein the program causes the computer to perform further operations comprising: receiving an instruction to delete the fixed character string; identifying a character string preceding the fixed character string to be deleted and a character string following the fixed character string to be deleted; determining whether or not the character string preceding the fixed character string to be deleted and the character string following the fixed character string to be deleted are connectable to each other; and when it is determined that the character strings preceding and following the fixed character string to be deleted are connectable to each other, changing the fixed character string to be deleted into an unfixed character.
| 0.5 |
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