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5,524,193 | 16 | 17 | 16. The method of claim 1 wherein said selected trigger is a section of an audio event. | 16. The method of claim 1 wherein said selected trigger is a section of an audio event. 17. The method of claim 16 wherein said sequence of graphics, text, video and audio events includes a second plurality of triggers. | 0.5 |
9,230,541 | 19 | 20 | 19. A non-transitory computer-readable medium, having instructions stored thereon, which when executed by one or more processors cause the processors to perform operations comprising: receiving a sequence of audio frames comprising a current frame and a subsequent frame that follows the current frame; determining a candidate keyword for the current frame using a predetermined decoding network that comprises keywords and filler words of multiple languages, associating the audio frame sequence with a confidence score that is partially determined according to the candidate keyword; identifying a word option for the subsequent frame using the candidate keyword and the predetermined decoding network; when the candidate keyword and the word option are associated with two distinct types of languages, updating the confidence score of the audio frame sequence based on a penalty factor that is predetermined according to the two distinct types of languages, the word option and an acoustic model of the subsequent frame; and determining that the audio frame sequence includes both the candidate keyword and the word option by evaluating the updated confidence score according to a keyword determination criterion. | 19. A non-transitory computer-readable medium, having instructions stored thereon, which when executed by one or more processors cause the processors to perform operations comprising: receiving a sequence of audio frames comprising a current frame and a subsequent frame that follows the current frame; determining a candidate keyword for the current frame using a predetermined decoding network that comprises keywords and filler words of multiple languages, associating the audio frame sequence with a confidence score that is partially determined according to the candidate keyword; identifying a word option for the subsequent frame using the candidate keyword and the predetermined decoding network; when the candidate keyword and the word option are associated with two distinct types of languages, updating the confidence score of the audio frame sequence based on a penalty factor that is predetermined according to the two distinct types of languages, the word option and an acoustic model of the subsequent frame; and determining that the audio frame sequence includes both the candidate keyword and the word option by evaluating the updated confidence score according to a keyword determination criterion. 20. The non-transitory computer-readable medium of claim 19 , wherein the operations performed by the processors further comprise: establishing a penalty factor table including a plurality of penalty factors each associated with two different languages, wherein the penalty factor used for updating the confidence score of the audio frame sequence is identified by looking up the penalty factor table based on the two distinct language types of the candidate keyword and the word option. | 0.5 |
9,383,977 | 11 | 15 | 11. A computer system comprising: one or more computer processors; and a non-transitory computer readable storage medium comprising instructions that when executed by the one or more computer processors implement a method comprising: extracting, by a compiler description generator, information from an architecture description describing an architecture of an application specific instruction set processor (ASIP); receiving, by the compiler description generator via a source different than the architecture description, definitions for a plurality of abstract elements of a compiler that have no direct representative in the architecture description, the abstract elements comprising a non-terminal representing a data path in common with a plurality of compiler instructions; extracting, by the compiler description generator, a mapping of compiler rules to instructions included in the architecture description; and automatically generating, by the compiler description generator, a compiler description of the compiler for the architecture of the ASIP based on the extracted information, the received definitions for the plurality of abstract elements, and the extracted mapping, wherein a compiler generator generates the compiler based on the compiler description. | 11. A computer system comprising: one or more computer processors; and a non-transitory computer readable storage medium comprising instructions that when executed by the one or more computer processors implement a method comprising: extracting, by a compiler description generator, information from an architecture description describing an architecture of an application specific instruction set processor (ASIP); receiving, by the compiler description generator via a source different than the architecture description, definitions for a plurality of abstract elements of a compiler that have no direct representative in the architecture description, the abstract elements comprising a non-terminal representing a data path in common with a plurality of compiler instructions; extracting, by the compiler description generator, a mapping of compiler rules to instructions included in the architecture description; and automatically generating, by the compiler description generator, a compiler description of the compiler for the architecture of the ASIP based on the extracted information, the received definitions for the plurality of abstract elements, and the extracted mapping, wherein a compiler generator generates the compiler based on the compiler description. 15. The computer system of claim 11 , wherein through a graphical user interface, a user specifies a stack point register and a frame pointer, the stack pointer register describing a first end of a stack of elements of the architecture and the frame pointer describing a second end of the stack of elements. | 0.523292 |
7,603,427 | 1 | 4 | 1. A tunable system to deliver communications, comprising; a processor configured to execute computer-readable instructions, the computer-readable instructions including instructions for: storing a policy relating to delivering a series of communications to a user, the policy including a set of parameters initialized to facilitate delivering the series of communications at a default frequency; tuning the policy according to a contextual profile selected from a plurality of contextual profiles, each of the plurality of contextual profiles associated with a scalar; and matching a state of the user to a contextual profile that does not contradict the state, wherein the tunable system is configured to throttle the default frequency as a function of the scalar associated with the matched contextual profile. | 1. A tunable system to deliver communications, comprising; a processor configured to execute computer-readable instructions, the computer-readable instructions including instructions for: storing a policy relating to delivering a series of communications to a user, the policy including a set of parameters initialized to facilitate delivering the series of communications at a default frequency; tuning the policy according to a contextual profile selected from a plurality of contextual profiles, each of the plurality of contextual profiles associated with a scalar; and matching a state of the user to a contextual profile that does not contradict the state, wherein the tunable system is configured to throttle the default frequency as a function of the scalar associated with the matched contextual profile. 4. The tunable system of claim 1 , wherein the default frequency is throttled based at least in part on a cost of deferring each communication. | 0.579412 |
8,046,223 | 14 | 15 | 14. The method of claim 13 , wherein the removing the reflected AV system audio includes fixing parameters of the plurality of filters during an interval from a starting timing to an ending timing of the user's voice. | 14. The method of claim 13 , wherein the removing the reflected AV system audio includes fixing parameters of the plurality of filters during an interval from a starting timing to an ending timing of the user's voice. 15. The method of claim 14 , wherein the parameters include at least one of a cut-off frequency, a passing frequency, and a reflected audio removing rate of the plurality of filters. | 0.5 |
8,935,247 | 3 | 5 | 3. The method of claim 1 , wherein determining the first offering attribute and the first plurality of attribute values of the first offering attribute according to which to partition the offerings across a first plurality of partition groups includes: identifying, for the first offering attribute, each of the attribute values associated with the plurality of offerings of the data set; determining, for each of the identified attribute values of the first offering attribute, a number of offerings corresponding to the identified attribute value; and selecting one or more attribute values having a number of offerings that exceed a threshold number of offerings as attribute values according to which to partition the offerings across a first plurality of partition groups. | 3. The method of claim 1 , wherein determining the first offering attribute and the first plurality of attribute values of the first offering attribute according to which to partition the offerings across a first plurality of partition groups includes: identifying, for the first offering attribute, each of the attribute values associated with the plurality of offerings of the data set; determining, for each of the identified attribute values of the first offering attribute, a number of offerings corresponding to the identified attribute value; and selecting one or more attribute values having a number of offerings that exceed a threshold number of offerings as attribute values according to which to partition the offerings across a first plurality of partition groups. 5. The method of claim 3 , wherein at least one of the plurality of attribute values according to which to partition the offerings corresponds to a range of attribute values associated with a particular attribute. | 0.563525 |
8,204,881 | 22 | 29 | 22. A computer-readable storage medium having instructions stored thereon that, if executed, cause a computing device to perform operations comprising: receiving search criteria via a network connection; transmitting one or more search results to a source computing device in response to receiving the search criteria; receiving a plurality of content distillation parameters from the source computing device, wherein the plurality of content distillation parameters indicate at least two different content extraction types; and in response to receiving a selection of at least one of the one or more of the search results, causing a reduced-content version of the selected at least one search result to be transmitted to the source computing device in accordance with the received plurality of content distillation parameters, wherein the reduced-content version includes first and second content corresponding to the at least two different content extraction types. | 22. A computer-readable storage medium having instructions stored thereon that, if executed, cause a computing device to perform operations comprising: receiving search criteria via a network connection; transmitting one or more search results to a source computing device in response to receiving the search criteria; receiving a plurality of content distillation parameters from the source computing device, wherein the plurality of content distillation parameters indicate at least two different content extraction types; and in response to receiving a selection of at least one of the one or more of the search results, causing a reduced-content version of the selected at least one search result to be transmitted to the source computing device in accordance with the received plurality of content distillation parameters, wherein the reduced-content version includes first and second content corresponding to the at least two different content extraction types. 29. The computer-readable storage medium of claim 22 , wherein the operations further comprise: saving at least a portion of the plurality of content distillation parameters; and creating a second reduced-content version of a different selected search result using the saved portion, wherein the second reduced-content version includes content corresponding to at least one of the at least two different content extraction types. | 0.5 |
9,208,231 | 10 | 11 | 10. A system comprising: one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising: receiving a search query input through a search engine user interface, wherein the search engine user interface is in a particular language; identifying a first resource that satisfies the search query; accessing click data that identifies a plurality of requests for the first resource, wherein each of the plurality of requests is initiated by a user selection of a search result identifying the first resource; for each of the plurality of requests for the first resource identified in the click data: identifying a respective search engine user interface that received the request of the user selection identifying the first resource, and identifying a search engine user interface language of the respective search engine user interface that received the request; determining a plurality of language relevance scores for the first resource, wherein each language relevance score is a measure of relevance of a respective one of the identified search engine user interface languages of the first resource, and wherein the language relevance scores are based on a number of requests associated with each search engine user interface language; selecting one or more of the identified search engine user interface languages as relevant languages of the first resource based on the language relevance scores; and adjusting a search result score of the first resource based on the particular language being one of the one or more relevant languages of the first resource. | 10. A system comprising: one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising: receiving a search query input through a search engine user interface, wherein the search engine user interface is in a particular language; identifying a first resource that satisfies the search query; accessing click data that identifies a plurality of requests for the first resource, wherein each of the plurality of requests is initiated by a user selection of a search result identifying the first resource; for each of the plurality of requests for the first resource identified in the click data: identifying a respective search engine user interface that received the request of the user selection identifying the first resource, and identifying a search engine user interface language of the respective search engine user interface that received the request; determining a plurality of language relevance scores for the first resource, wherein each language relevance score is a measure of relevance of a respective one of the identified search engine user interface languages of the first resource, and wherein the language relevance scores are based on a number of requests associated with each search engine user interface language; selecting one or more of the identified search engine user interface languages as relevant languages of the first resource based on the language relevance scores; and adjusting a search result score of the first resource based on the particular language being one of the one or more relevant languages of the first resource. 11. The system of claim 10 , the operations further comprising: associating with the first resource in a resource index information identifying the one or more relevant languages. | 0.733631 |
10,140,664 | 9 | 20 | 9. A non-transitory computer-readable storage medium storing instructions that, when executed by a processor, cause the processor to perform an operation for identifying related transaction records from a database storing transaction records for multiple entities, the method comprising: acquiring a plurality of transaction record sets, wherein each transaction record set includes one or more of the transaction records sharing a common attribute value and wherein the transaction records are credit or debit transactions processed by a financial institution for a merchant; receiving a selection of or selecting an exemplar record set of the plurality of transaction record sets, wherein the exemplar record set comprises a plurality of the transaction records associated with a first entity of the multiple entities; for at least one of the acquired plurality of transaction record sets: determining a probability that the transaction record set stores transaction records associated with the first entity based at least in part on a machine learning classifier, the machine learning classifier being trained using one or more first pairs of transaction record sets and one or more second pairs of transaction record sets, wherein a first pair of transaction record sets represents a common entity and a second pair of transaction record sets represents unrelated entities, and upon determining the probability exceeds a threshold, resolving the transaction record set as storing transaction records associated with the first entity, the resolving including merging the transaction records of the transaction record set into the exemplar record set that comprises the plurality of the transaction records associated with the first entity. | 9. A non-transitory computer-readable storage medium storing instructions that, when executed by a processor, cause the processor to perform an operation for identifying related transaction records from a database storing transaction records for multiple entities, the method comprising: acquiring a plurality of transaction record sets, wherein each transaction record set includes one or more of the transaction records sharing a common attribute value and wherein the transaction records are credit or debit transactions processed by a financial institution for a merchant; receiving a selection of or selecting an exemplar record set of the plurality of transaction record sets, wherein the exemplar record set comprises a plurality of the transaction records associated with a first entity of the multiple entities; for at least one of the acquired plurality of transaction record sets: determining a probability that the transaction record set stores transaction records associated with the first entity based at least in part on a machine learning classifier, the machine learning classifier being trained using one or more first pairs of transaction record sets and one or more second pairs of transaction record sets, wherein a first pair of transaction record sets represents a common entity and a second pair of transaction record sets represents unrelated entities, and upon determining the probability exceeds a threshold, resolving the transaction record set as storing transaction records associated with the first entity, the resolving including merging the transaction records of the transaction record set into the exemplar record set that comprises the plurality of the transaction records associated with the first entity. 20. The system of claim 9 , further comprising, performing an analysis on a set of the transaction records, wherein the set includes the transaction records of the exemplar record set and the transaction records resolved as associated with the first entity. | 0.673858 |
9,338,071 | 20 | 22 | 20. An electronic device comprising: at least one network interface; a processor; and a memory, wherein the memory comprises instructions configured to cause the processor to: receive, from a remote device and via a network interface of the at least one network interfaces, a request for active or available locales for the electronic device; send, to the remote device and via the network interface, a message in a locale profile format including a list of available locales, wherein the message comprises: a version field that indicates a version of schema used to transmit the list of available locales; an active local field that indicates a locale currently being used by the electronic device; and an available locales field that indicates which locales are available for use by the electronic device, wherein the version field includes a profile tag that indicates that the following information relates to the version of schema used to transmit the list of available locales, wherein the profile tag comprises a tag value of 0x0002 that indicates that a following data payload designates the version of the schema which the electronic device uses to transmit the list of available locales, wherein each version of the schema corresponding to an integer of the integers between 0 and 255 is additive relative to versions of the schema corresponding to lower integers, and the version integer is advisory to the remote device to inform the remote device that schema fields are present in the schema that are newer than those present in only the versions of the schema corresponding to the lower integers, and wherein each version of the schema corresponding to an integer of the integers between 0 and 255 is additive relative to versions of the schema corresponding to lower integers, and the version integer is advisory to the remote device to inform the remote device that schema fields are present in the schema that are newer than those present in only the versions of the schema corresponding to the lower integers. | 20. An electronic device comprising: at least one network interface; a processor; and a memory, wherein the memory comprises instructions configured to cause the processor to: receive, from a remote device and via a network interface of the at least one network interfaces, a request for active or available locales for the electronic device; send, to the remote device and via the network interface, a message in a locale profile format including a list of available locales, wherein the message comprises: a version field that indicates a version of schema used to transmit the list of available locales; an active local field that indicates a locale currently being used by the electronic device; and an available locales field that indicates which locales are available for use by the electronic device, wherein the version field includes a profile tag that indicates that the following information relates to the version of schema used to transmit the list of available locales, wherein the profile tag comprises a tag value of 0x0002 that indicates that a following data payload designates the version of the schema which the electronic device uses to transmit the list of available locales, wherein each version of the schema corresponding to an integer of the integers between 0 and 255 is additive relative to versions of the schema corresponding to lower integers, and the version integer is advisory to the remote device to inform the remote device that schema fields are present in the schema that are newer than those present in only the versions of the schema corresponding to the lower integers, and wherein each version of the schema corresponding to an integer of the integers between 0 and 255 is additive relative to versions of the schema corresponding to lower integers, and the version integer is advisory to the remote device to inform the remote device that schema fields are present in the schema that are newer than those present in only the versions of the schema corresponding to the lower integers. 22. The electronic device of claim 20 , wherein the instructions are configured to cause the processor to: enable the remote device to read the version field using a locale profile; disable the remote device from writing to the version field using the locale profile; and enable the remote device to write to the version field using a profile other than the locale profile. | 0.584633 |
7,849,186 | 49 | 51 | 49. The system according to claim 26 , wherein said packet arrival similarity evaluation module is adapted to calculate two or more progressive similarity scores each with respect to a different instant during the progress of the real-time conversational media session, wherein each of said scores corresponds to the similarity between the packet arrival times associated with the real-time conversational media session which were available at the corresponding instant and the reference data, and said evaluation module is adapted to evaluate progressive similarity between the real-time conversational media session data and the reference data based upon the two or more progressive similarity scores. | 49. The system according to claim 26 , wherein said packet arrival similarity evaluation module is adapted to calculate two or more progressive similarity scores each with respect to a different instant during the progress of the real-time conversational media session, wherein each of said scores corresponds to the similarity between the packet arrival times associated with the real-time conversational media session which were available at the corresponding instant and the reference data, and said evaluation module is adapted to evaluate progressive similarity between the real-time conversational media session data and the reference data based upon the two or more progressive similarity scores. 51. The system according to claim 49 , wherein said packet arrival similarity evaluation module is adapted to conclude based upon the two or more progressive similarity scores whether the real-time conversational media session and the reference data item are similar, dissimilar or that further progressive similarity scores are necessary to conclude similarity or dissimilarity. | 0.654827 |
8,478,579 | 1 | 8 | 1. A computer-implemented method, comprising: receiving, at a client device, a document for a web page, the document comprising document text in a first language to be displayed on the client device; displaying, at the client device, the web page in web browser software executing at the client device, wherein the web page includes the document text of the document; identifying, at the client device, a second language to which the document text may be translated; determining, at the client device, whether the second language is different from the first language; displaying, at the client device, a translation header as part the web page above a portion of the document text to be translated when the second language is determined to be different from the first language, the translation header including (i) a selectable option to translate the portion of the document text from the first language to the second language and (ii) text in the second language describing the selectable option; and in response to a selection of the selectable option: identifying, at the client device, the portion of the document text to be translated; sending a request from the client device to a translation server to translate the portion of the document text from the first language to the second language; in response to the request, receiving at the client device translation data including a corresponding translated portion of the document text in the second language; and displaying, at the client device, the translated portion of the document text of the document as part of the web page. | 1. A computer-implemented method, comprising: receiving, at a client device, a document for a web page, the document comprising document text in a first language to be displayed on the client device; displaying, at the client device, the web page in web browser software executing at the client device, wherein the web page includes the document text of the document; identifying, at the client device, a second language to which the document text may be translated; determining, at the client device, whether the second language is different from the first language; displaying, at the client device, a translation header as part the web page above a portion of the document text to be translated when the second language is determined to be different from the first language, the translation header including (i) a selectable option to translate the portion of the document text from the first language to the second language and (ii) text in the second language describing the selectable option; and in response to a selection of the selectable option: identifying, at the client device, the portion of the document text to be translated; sending a request from the client device to a translation server to translate the portion of the document text from the first language to the second language; in response to the request, receiving at the client device translation data including a corresponding translated portion of the document text in the second language; and displaying, at the client device, the translated portion of the document text of the document as part of the web page. 8. The method of claim 1 , wherein the translation header has a first display configuration and a second display configuration, wherein: the first display configuration includes text prompting an input for translation of the portion of the document text and text defining at least one of the first language or the second language, the first display configuration being a display configuration for the translation header prior to a selection of the selectable option; and the second display configuration includes text defining that the portion of the document has been translated and text defining at least one of the first language or the second language, the second display configuration being a display configuration for the translation header subsequent to a selection of the selectable option. | 0.677184 |
7,788,590 | 1 | 7 | 1. A method of providing information associated with a selected item in an electronic document, comprising: receiving a selection of one of a text item, a display item, and a selectable object that is contained in an electronic document displayed in a first user interface of an application for processing the electronic document; passing data representing the selected item to an information source; at the information source, parsing a data source for information associated with the selection; returning the information associated with the selection, wherein the information is commonly presented by another application; if the information associated with the selection is received from more than one information source, displaying the information in a second lightweight user interface in a plurality of sections, where information from a first information source is displayed in a first section, and where information from a second information source is displayed in a second section; prioritizing the plurality of sections of information according to a preferred display orientation, where a most preferred section is displayed in a first orientation and a least preferred section is displayed in a second orientation, wherein the first orientation has a size that is larger than the second orientation and the second orientation comprises: a full display orientation that displays all of the least preferred section when available display space in the second lightweight user interface allows for full display of both the most preferred section and the least preferred section; a truncated display orientation that truncates a portion of the least preferred section so that only a portion of the information that will fit in the available display space provided in the second lightweight user interface is displayed if all of the information associated with the selection will not fit in an available display space provided in the second lightweight user interface; and a collapsed orientation that prevents viewing of the least preferred section when available display space in the second lightweight user interface disallows for full display of both the most preferred section and the least preferred section, wherein selection of a selectable control of the collapsed section causes display of the least preferred information and simultaneously causes collapse of the presently displayed information to prevent viewing of the information of the most preferred section; displaying the second lightweight user interface over the first user interface in proximity to the selection; and displaying the information associated with the selection in the second lightweight user interface without activating a third user interface for the other application. | 1. A method of providing information associated with a selected item in an electronic document, comprising: receiving a selection of one of a text item, a display item, and a selectable object that is contained in an electronic document displayed in a first user interface of an application for processing the electronic document; passing data representing the selected item to an information source; at the information source, parsing a data source for information associated with the selection; returning the information associated with the selection, wherein the information is commonly presented by another application; if the information associated with the selection is received from more than one information source, displaying the information in a second lightweight user interface in a plurality of sections, where information from a first information source is displayed in a first section, and where information from a second information source is displayed in a second section; prioritizing the plurality of sections of information according to a preferred display orientation, where a most preferred section is displayed in a first orientation and a least preferred section is displayed in a second orientation, wherein the first orientation has a size that is larger than the second orientation and the second orientation comprises: a full display orientation that displays all of the least preferred section when available display space in the second lightweight user interface allows for full display of both the most preferred section and the least preferred section; a truncated display orientation that truncates a portion of the least preferred section so that only a portion of the information that will fit in the available display space provided in the second lightweight user interface is displayed if all of the information associated with the selection will not fit in an available display space provided in the second lightweight user interface; and a collapsed orientation that prevents viewing of the least preferred section when available display space in the second lightweight user interface disallows for full display of both the most preferred section and the least preferred section, wherein selection of a selectable control of the collapsed section causes display of the least preferred information and simultaneously causes collapse of the presently displayed information to prevent viewing of the information of the most preferred section; displaying the second lightweight user interface over the first user interface in proximity to the selection; and displaying the information associated with the selection in the second lightweight user interface without activating a third user interface for the other application. 7. The method of claim 1 , further comprising: receiving a selection for displaying the truncated portion of the information; and displaying the truncated portion of the information in the second lightweight user interface. | 0.824132 |
8,032,418 | 14 | 15 | 14. The method according to claim 11 , wherein each of the displayable graphical images takes the form of a logo. | 14. The method according to claim 11 , wherein each of the displayable graphical images takes the form of a logo. 15. The method according to claim 14 , further comprising storing the logos in a plurality of different formats. | 0.5 |
8,787,616 | 18 | 19 | 18. A computer-implemented method for processing documents in a networked computer system, the method comprising the steps of: providing at least one processor; providing a memory coupled to the at least one processor, the at least one processor performing the steps of: (A) a user using a web browser to access a web-based post office application in the networked computer system, the user entering in the web browser a first stamp number corresponding to a number on all stamps in a roll of stamps and specifying corresponding document processing instructions for the first stamp number; (B) in response to step (A), the web-based post office application creating an entry in a database that correlates the first stamp number to the corresponding document processing instructions, the document processing instructions comprising a default preference and a next document preference; (C) a mailman application in the networked computer system that monitors at least one network location for scanned documents; (D) when a new scanned document is in the at least one network location, the mailman application processes the new scanned document to read a second stamp number on the new scanned document; (E) the mailman application sending the second stamp number to the web-based post office application to determine document processing instructions for the new scanned document from the web-based post office application; (F) the web-based post office application reading the second stamp number and determining the second stamp number and the first stamp number are the same; (G) the web-based post office application reading the document processing instructions corresponding to the first stamp number; (H) the web-based post office application returning the document processing instructions corresponding to the first stamp number to the mailman application as document processing instructions defining how to process the new scanned document; (I) the mailman application processing the new scanned document according to the document processing instructions received from the web-based post office application, the processing comprising redacting the stamp in the new scanned document to generate a redacted new scanned document; (J) the mailman application storing the redacted new scanned document to the web-based post office application; (K) the web-based post office application storing the redacted new scanned document to a document repository in a database; and (L) the web-based post office application delivering the redacted new scanned document according to the document processing instructions. | 18. A computer-implemented method for processing documents in a networked computer system, the method comprising the steps of: providing at least one processor; providing a memory coupled to the at least one processor, the at least one processor performing the steps of: (A) a user using a web browser to access a web-based post office application in the networked computer system, the user entering in the web browser a first stamp number corresponding to a number on all stamps in a roll of stamps and specifying corresponding document processing instructions for the first stamp number; (B) in response to step (A), the web-based post office application creating an entry in a database that correlates the first stamp number to the corresponding document processing instructions, the document processing instructions comprising a default preference and a next document preference; (C) a mailman application in the networked computer system that monitors at least one network location for scanned documents; (D) when a new scanned document is in the at least one network location, the mailman application processes the new scanned document to read a second stamp number on the new scanned document; (E) the mailman application sending the second stamp number to the web-based post office application to determine document processing instructions for the new scanned document from the web-based post office application; (F) the web-based post office application reading the second stamp number and determining the second stamp number and the first stamp number are the same; (G) the web-based post office application reading the document processing instructions corresponding to the first stamp number; (H) the web-based post office application returning the document processing instructions corresponding to the first stamp number to the mailman application as document processing instructions defining how to process the new scanned document; (I) the mailman application processing the new scanned document according to the document processing instructions received from the web-based post office application, the processing comprising redacting the stamp in the new scanned document to generate a redacted new scanned document; (J) the mailman application storing the redacted new scanned document to the web-based post office application; (K) the web-based post office application storing the redacted new scanned document to a document repository in a database; and (L) the web-based post office application delivering the redacted new scanned document according to the document processing instructions. 19. The method of claim 18 wherein step (L) comprises the step of the web-based post office application e-mailing the new scanned document to the user. | 0.629902 |
8,024,703 | 7 | 12 | 7. A system for developing view templates, comprising: a processor; storage, coupled to the processor, for storing example code artifacts; logic, stored on the storage for execution on the processor, for categorizing each of said example code artifacts according to purpose and function; logic, stored on the storage for execution on the processor, for grouping said example code artifacts based on the categorization to produce corresponding artifact roles; logic, stored on the storage for execution on the processor, for generating a view template, based upon the artifact roles, having static content portions and zero, one or more dynamic content portions; and logic, stored on the storage for execution on the processor, for storing view templates for reuse. | 7. A system for developing view templates, comprising: a processor; storage, coupled to the processor, for storing example code artifacts; logic, stored on the storage for execution on the processor, for categorizing each of said example code artifacts according to purpose and function; logic, stored on the storage for execution on the processor, for grouping said example code artifacts based on the categorization to produce corresponding artifact roles; logic, stored on the storage for execution on the processor, for generating a view template, based upon the artifact roles, having static content portions and zero, one or more dynamic content portions; and logic, stored on the storage for execution on the processor, for storing view templates for reuse. 12. The system of claims 7 , wherein said example code artifacts are web application files including, HTML source files, XML source files, portlet code and JSP source code. | 0.772487 |
8,650,141 | 18 | 19 | 18. A method of matching the emotional profile of a new user against at least one existing user in a survey result database performed by an emotional profiling server comprising the steps of: a) selecting an emotional survey document; said emotional survey document being designed for a specific domain and comprising at least one survey form; b) sending said survey form to said new user, said survey form further comprising at least one question and a choice of a plurality of multi-media objects; c) prompting said new user to choose at least one choice from said plurality of multi-media objects according to the emotional reflex response of said new user; d) collecting said at least one choice from said new user as survey result; e) repeating steps (b), (c) and (d) for all survey forms in said emotional survey document; f) matching said survey result against at least one survey result record retrieved from said survey result database and computing a matching score; said survey result record further comprising survey results from said existing user, answering same emotional survey document; g) comparing said matching score with a pre-defined criterion; and h) identifying said new user to said at least one existing user whose matching score satisfies said pre-defined criterion. | 18. A method of matching the emotional profile of a new user against at least one existing user in a survey result database performed by an emotional profiling server comprising the steps of: a) selecting an emotional survey document; said emotional survey document being designed for a specific domain and comprising at least one survey form; b) sending said survey form to said new user, said survey form further comprising at least one question and a choice of a plurality of multi-media objects; c) prompting said new user to choose at least one choice from said plurality of multi-media objects according to the emotional reflex response of said new user; d) collecting said at least one choice from said new user as survey result; e) repeating steps (b), (c) and (d) for all survey forms in said emotional survey document; f) matching said survey result against at least one survey result record retrieved from said survey result database and computing a matching score; said survey result record further comprising survey results from said existing user, answering same emotional survey document; g) comparing said matching score with a pre-defined criterion; and h) identifying said new user to said at least one existing user whose matching score satisfies said pre-defined criterion. 19. The method according to claim 18 wherein i) said matching step further comprising computing a plurality of matching scores for a plurality of survey result records in said survey result database; storing said plurality of matching scores to a matching list and sorting said matching list in descending order; ii) said comparing and identifying steps are replaced by the step of identifying at least one said existing user whose corresponding matching score is within the top-N entries in said matching list wherein N is a numerical integer between one and the size of said matching list and is specified by a designer. | 0.5 |
9,519,681 | 1 | 3 | 1. A system, comprising: a data store having a knowledge base stored therein comprising first knowledge represented in a structured, machine-readable format, the data store also having a plurality of generators stored therein, each generator including a fact pattern representing one or more characteristics of facts that can be generated by that generator, and code for generating the facts; and one or more computing devices configured to: generate second knowledge for inclusion in the knowledge base by inferring the second knowledge from the first knowledge using a first generator of the plurality of generators; determine that the second knowledge is not semantically contradicted by other knowledge in the knowledge base; store the second knowledge in the knowledge base in association with related knowledge information identifying the first knowledge from which the second knowledge was inferred; respond to a first query using the second knowledge, the first query having been received subsequent to storage of the second knowledge in the knowledge base; identify a second generator of the plurality of generators for which the included fact pattern is compatible with a second query; dynamically generate third knowledge not represented in the knowledge base in response to the second query by inferring the third knowledge from the second knowledge using the second generator; store the third knowledge in a cache; retrieve the third knowledge from the cache as part of recursive processing of the second query; respond to the second query using the third knowledge; determine that the first knowledge from which the second knowledge was inferred is no longer valid; and remove the second knowledge from the knowledge base using the related knowledge information. | 1. A system, comprising: a data store having a knowledge base stored therein comprising first knowledge represented in a structured, machine-readable format, the data store also having a plurality of generators stored therein, each generator including a fact pattern representing one or more characteristics of facts that can be generated by that generator, and code for generating the facts; and one or more computing devices configured to: generate second knowledge for inclusion in the knowledge base by inferring the second knowledge from the first knowledge using a first generator of the plurality of generators; determine that the second knowledge is not semantically contradicted by other knowledge in the knowledge base; store the second knowledge in the knowledge base in association with related knowledge information identifying the first knowledge from which the second knowledge was inferred; respond to a first query using the second knowledge, the first query having been received subsequent to storage of the second knowledge in the knowledge base; identify a second generator of the plurality of generators for which the included fact pattern is compatible with a second query; dynamically generate third knowledge not represented in the knowledge base in response to the second query by inferring the third knowledge from the second knowledge using the second generator; store the third knowledge in a cache; retrieve the third knowledge from the cache as part of recursive processing of the second query; respond to the second query using the third knowledge; determine that the first knowledge from which the second knowledge was inferred is no longer valid; and remove the second knowledge from the knowledge base using the related knowledge information. 3. The system of claim 1 , wherein the one or more computing devices are further configured to generate the second knowledge with reference only to the first knowledge. | 0.871951 |
8,108,421 | 15 | 17 | 15. An electronic computing system comprising: a processing unit comprising a set of at least one integrated circuit; and a data storage system comprising a set of at least one computer-readable data storage medium, the data storage system storing a set of instructions that, when executed by the processing unit, configure the electronic computing system to: receive an original query from a querying client, the original query expressed in a first query language; automatically determine whether the original query includes a clause unsupported by a second query language; automatically separate, in response to determining that the original query includes an clause unsupported by the second query language, the original query into a server-side query and a client-side query, the server-side query comprising supported clauses of the original query, the client-side query comprising unsupported clauses of the original query; automatically determine, after separating the original query into the server-side query and the client-side query, whether the client-side query is efficient; automatically send, in response to determining that the client-side query is not efficient, an error message to the querying client, the error message indicating to the querying client that the computing system did not execute the original query because the original query is not efficient; automatically translate the server-side query into a supplemental query expressed in the second query language; automatically dispatch the server-side query; automatically receive, after dispatching the server-side query, a server-side result set from a database management system, the database management system managing a database, the server-side result set comprising data items in the database responsive to the supplemental query; automatically generate, when the computing system determines that the client-side query is efficient, a client-side result set by querying the server-side result set using the client-side query; and automatically return the client-side result set to the querying client as a result set of the original query. | 15. An electronic computing system comprising: a processing unit comprising a set of at least one integrated circuit; and a data storage system comprising a set of at least one computer-readable data storage medium, the data storage system storing a set of instructions that, when executed by the processing unit, configure the electronic computing system to: receive an original query from a querying client, the original query expressed in a first query language; automatically determine whether the original query includes a clause unsupported by a second query language; automatically separate, in response to determining that the original query includes an clause unsupported by the second query language, the original query into a server-side query and a client-side query, the server-side query comprising supported clauses of the original query, the client-side query comprising unsupported clauses of the original query; automatically determine, after separating the original query into the server-side query and the client-side query, whether the client-side query is efficient; automatically send, in response to determining that the client-side query is not efficient, an error message to the querying client, the error message indicating to the querying client that the computing system did not execute the original query because the original query is not efficient; automatically translate the server-side query into a supplemental query expressed in the second query language; automatically dispatch the server-side query; automatically receive, after dispatching the server-side query, a server-side result set from a database management system, the database management system managing a database, the server-side result set comprising data items in the database responsive to the supplemental query; automatically generate, when the computing system determines that the client-side query is efficient, a client-side result set by querying the server-side result set using the client-side query; and automatically return the client-side result set to the querying client as a result set of the original query. 17. The electronic computing system of claim 15 , the instructions further configuring the electronic computing system to: automatically translate, in response to determining that the original query does not include a clause unsupported by the second query language, the original query into a translated query expressed in the second query language; receive, after translating the original query into the translated query, a result set for the translated query from the database, the result set for the translated query comprising data items responsive to the translated query; and automatically return, after receiving the result set for the translated query, the result set for the translated query to the querying client as the result set of the original query. | 0.5 |
7,711,573 | 151 | 198 | 151. A computer program product, to be used on a computer, for improving a precision ratio when searching a resume database, comprising: a computer readable medium storing: program code for receiving a resume; program code for parsing the resume to: locate at least one skill or experience-related phrase in the resume; determine an experience range for each said at least one skill or experience-related phrase by examining a use of each said at least one skill or experience-related phrase in the resume; and compute a term of experience for each said at least one skill or experience-related phrase based on the experience range, wherein the term of experience for each said at least one skill or experience-related phrase is a summation of the term of experience for each occurrence of the phrase associated with a different experience range; program code for storing the resume in the resume database; program code for creating a parsed resume based on the resume, the parsed resume including each said at least one skill or experience-related phrase located in the resume, the term of experience computed for each said at least one skill or experience-related phrase, and a relationship between the term of experience and each said at least one skill or experience-related phrase; program code for storing a parsed resume in the resume database; program code for sending a database query to the resume database, the database query including a job description that includes at least one job requirement, each said at least one job requirement including a required skill or experience-related phrase, and a required term of experience; and program code for receiving a result set in response to the database query, wherein the result set includes the resume when the parsed resume satisfies the job description. | 151. A computer program product, to be used on a computer, for improving a precision ratio when searching a resume database, comprising: a computer readable medium storing: program code for receiving a resume; program code for parsing the resume to: locate at least one skill or experience-related phrase in the resume; determine an experience range for each said at least one skill or experience-related phrase by examining a use of each said at least one skill or experience-related phrase in the resume; and compute a term of experience for each said at least one skill or experience-related phrase based on the experience range, wherein the term of experience for each said at least one skill or experience-related phrase is a summation of the term of experience for each occurrence of the phrase associated with a different experience range; program code for storing the resume in the resume database; program code for creating a parsed resume based on the resume, the parsed resume including each said at least one skill or experience-related phrase located in the resume, the term of experience computed for each said at least one skill or experience-related phrase, and a relationship between the term of experience and each said at least one skill or experience-related phrase; program code for storing a parsed resume in the resume database; program code for sending a database query to the resume database, the database query including a job description that includes at least one job requirement, each said at least one job requirement including a required skill or experience-related phrase, and a required term of experience; and program code for receiving a result set in response to the database query, wherein the result set includes the resume when the parsed resume satisfies the job description. 198. The computer program product of claim 151 , the computer readable medium further storing: program code for obtaining an expected salary for a candidate; program code for converting the expected salary to at least one multiplier; and program code for storing each said at least one multiplier in the parsed resume, wherein each said at least one multiplier is associated with a salary range unit, and wherein each said at least one multiplier is the greatest integer that is less than or equal to a result of a division of the expected salary by the salary range unit. | 0.5 |
8,860,752 | 4 | 8 | 4. The method of claim 1 wherein said association is created on a first computer system and further comprising the step of transferring a portion of said input scripts to a second computer system. | 4. The method of claim 1 wherein said association is created on a first computer system and further comprising the step of transferring a portion of said input scripts to a second computer system. 8. The method of claim 4 wherein said plurality of application programs comprise an image editor program and an email program. | 0.5 |
7,752,194 | 1 | 5 | 1. A computer-implemented method comprising: receiving, by a directory server, a query for an attribute associated with a Lightweight Directory Access Protocol (LDAP) entry, wherein the attribute is stored in a repository and contains a plurality of pairs of values, with each pair containing an attribute value and a corresponding version number stored as a subtype of the attribute; determining, by the directory server, whether the query includes a version number of the attribute; in response to a determination that the query includes a version number, returning a first attribute value that corresponds to the version number in the query; in response to a determination that the query includes a predetermined symbol, returning all versions of the attribute; and in response to a determination that the query does not include a version number or the predetermined symbol, returning a second attribute value that corresponds to a current version of the attribute. | 1. A computer-implemented method comprising: receiving, by a directory server, a query for an attribute associated with a Lightweight Directory Access Protocol (LDAP) entry, wherein the attribute is stored in a repository and contains a plurality of pairs of values, with each pair containing an attribute value and a corresponding version number stored as a subtype of the attribute; determining, by the directory server, whether the query includes a version number of the attribute; in response to a determination that the query includes a version number, returning a first attribute value that corresponds to the version number in the query; in response to a determination that the query includes a predetermined symbol, returning all versions of the attribute; and in response to a determination that the query does not include a version number or the predetermined symbol, returning a second attribute value that corresponds to a current version of the attribute. 5. The method of claim 1 further comprising: updating a value of the attribute associated with the LDAP entry in response to an update request; and updating the version of the attribute associated with the LDAP entry. | 0.5 |
7,966,172 | 9 | 12 | 9. One or more processor readable storage devices having processor readable code embodied on the processor readable storage devices, the processor readable code for programming one or more processors to perform a method comprising: (a) receiving a selection of a command; (b) displaying a natural language expression that includes the command and at least a new changeable field embedded in the displayed natural language expression; (c) receiving an indication of data for the new changeable embedded field from direct interaction with the displayed natural language expression; (d) modifying the natural language expression in response to the received data and displaying the modified natural language expression; (e) displaying an add field indicator and a remove field indicator, the remove field indicator is associated with at least one embedded field displayed in the natural language expression; (f) repeating steps (b)-(e) if the add field indicator is selected; and (g) modifying the natural language expression by removing the at least one embedded field from the natural language expression and displaying the modified natural language expression. | 9. One or more processor readable storage devices having processor readable code embodied on the processor readable storage devices, the processor readable code for programming one or more processors to perform a method comprising: (a) receiving a selection of a command; (b) displaying a natural language expression that includes the command and at least a new changeable field embedded in the displayed natural language expression; (c) receiving an indication of data for the new changeable embedded field from direct interaction with the displayed natural language expression; (d) modifying the natural language expression in response to the received data and displaying the modified natural language expression; (e) displaying an add field indicator and a remove field indicator, the remove field indicator is associated with at least one embedded field displayed in the natural language expression; (f) repeating steps (b)-(e) if the add field indicator is selected; and (g) modifying the natural language expression by removing the at least one embedded field from the natural language expression and displaying the modified natural language expression. 12. One or more processor readable storage devices according to claim 9 , wherein the method further comprises: accessing a group of data; identifying a subset of the group of data that is defined by the displayed natural language expression; and reporting the subset of the group of data. | 0.870054 |
9,424,279 | 1 | 3 | 1. A computer-implemented method comprising: receiving a search query from a particular user, wherein the search query includes a query image; obtaining a set of submitted images that (i) were submitted by one or more other users, and (ii) are identified as similar to the query image that is included in the search query; determining, for each submitted image of the set of submitted images that were submitted by the one or more other users and are identified as similar to the query image that is included in the search query, (i) a query relevance score that reflects a relevance of the submitted image to the query image and (ii) an annotation associated with the submitted image; grouping the submitted images of the set of submitted images by the annotations associated with the submitted images that were submitted by the one or more other users; for each group of images in the set of submitted images that were submitted by the one or more other users, aggregating the query relevance scores that reflect the relevance of the submitted images in the group of images to the query image; selecting a particular group of images based on the aggregated query relevance scores that reflect the relevance of the submitted images in the groups of images to the query image; selecting, as a representative annotation, the annotation associated with the particular group of images that was selected based on the aggregated query relevance scores that reflect the relevance of the groups of images to the query image; and providing the representative annotation for output to the particular user on a search results page in response to the search query. | 1. A computer-implemented method comprising: receiving a search query from a particular user, wherein the search query includes a query image; obtaining a set of submitted images that (i) were submitted by one or more other users, and (ii) are identified as similar to the query image that is included in the search query; determining, for each submitted image of the set of submitted images that were submitted by the one or more other users and are identified as similar to the query image that is included in the search query, (i) a query relevance score that reflects a relevance of the submitted image to the query image and (ii) an annotation associated with the submitted image; grouping the submitted images of the set of submitted images by the annotations associated with the submitted images that were submitted by the one or more other users; for each group of images in the set of submitted images that were submitted by the one or more other users, aggregating the query relevance scores that reflect the relevance of the submitted images in the group of images to the query image; selecting a particular group of images based on the aggregated query relevance scores that reflect the relevance of the submitted images in the groups of images to the query image; selecting, as a representative annotation, the annotation associated with the particular group of images that was selected based on the aggregated query relevance scores that reflect the relevance of the groups of images to the query image; and providing the representative annotation for output to the particular user on a search results page in response to the search query. 3. The method of claim 1 , wherein providing the representative annotation for output to the particular user on a search results page in response to receiving the search query image comprises: providing for display a list of representative annotations from two or more of the groups ordered by the aggregated query relevance scores. | 0.741433 |
7,756,313 | 1 | 2 | 1. A method for computer aided detection of anatomical abnormalities in medical images comprising the steps of: providing a plurality of abnormality candidates and features of said abnormality candidates; and classifying said abnormality candidates as true positives or false positives using a hierarchical cascade of linear classifiers of the form sign(w T x+b), wherein x is a feature vector, w is a weighting vector and b is a model parameter, wherein different weights are used to penalize false negatives and false positives, and wherein more computationally complex features are used for each successive stage of said cascade of classifiers, wherein each stage of said cascade solves a linear program formulated using a training error rate ξ equivalent to max {0,1−y(w T x+b)} and an l 1 -norm equivalent to w 1 = ∑ w i summed over all features, wherein said linear program is equivalent to the system represented by min u , v , ξ λ ∑ j = 1 d ( u j + v j ) + μ l + ∑ i ∈ C + ξ i + 1 - μ l - ∑ i ∈ C - ξ i , y ( ∑ j X ij ( u j - v j ) + b ) + ξ i ≥ 1 , such that ξ i ≥ 0 , i = 1 , … , l , u j , v j ≥ 0 , j = 1 , … , d , ( 1 ) wherein λ>0 is a regularization parameter, {x i , y i }, i=1, . . . , l denotes the abnormality candidates, y denotes a label indicating whether or not a candidate associated with a feature vector is a true positive, X denotes a feature matrix of d features wherein each row represents candidate feature vector x, and each column specifies a feature, l + is the number of positive candidates and l − the number of negative candidates, C + and C − contain, respectively, the sets of indices of positive candidates and negative candidates, 0≦μ≦1 is a tuning parameter for combining the false negative rate and false positive rate, and w j =u j −v j . | 1. A method for computer aided detection of anatomical abnormalities in medical images comprising the steps of: providing a plurality of abnormality candidates and features of said abnormality candidates; and classifying said abnormality candidates as true positives or false positives using a hierarchical cascade of linear classifiers of the form sign(w T x+b), wherein x is a feature vector, w is a weighting vector and b is a model parameter, wherein different weights are used to penalize false negatives and false positives, and wherein more computationally complex features are used for each successive stage of said cascade of classifiers, wherein each stage of said cascade solves a linear program formulated using a training error rate ξ equivalent to max {0,1−y(w T x+b)} and an l 1 -norm equivalent to w 1 = ∑ w i summed over all features, wherein said linear program is equivalent to the system represented by min u , v , ξ λ ∑ j = 1 d ( u j + v j ) + μ l + ∑ i ∈ C + ξ i + 1 - μ l - ∑ i ∈ C - ξ i , y ( ∑ j X ij ( u j - v j ) + b ) + ξ i ≥ 1 , such that ξ i ≥ 0 , i = 1 , … , l , u j , v j ≥ 0 , j = 1 , … , d , ( 1 ) wherein λ>0 is a regularization parameter, {x i , y i }, i=1, . . . , l denotes the abnormality candidates, y denotes a label indicating whether or not a candidate associated with a feature vector is a true positive, X denotes a feature matrix of d features wherein each row represents candidate feature vector x, and each column specifies a feature, l + is the number of positive candidates and l − the number of negative candidates, C + and C − contain, respectively, the sets of indices of positive candidates and negative candidates, 0≦μ≦1 is a tuning parameter for combining the false negative rate and false positive rate, and w j =u j −v j . 2. The method of claim 1 , wherein said l 1 -norm is weighted by factors γ i related to the computational cost of the i th feature. | 0.881341 |
8,484,031 | 15 | 16 | 15. A system for processing an interaction, the interaction including an utterance requiring recognition before being usable for further computer-implemented processing, the system comprising non-transitory computer storage media storing programming instructions executable by at least one processor to: receive data representing an utterance from a computer application; using a proxy processor, automatically initiate processing of the data; select, using ancillary information regarding the utterance, one or more recognizers from a first type of recognizer subsystems and a second type of recognizer subsystems; return a recognition result responsive to results of processing by the one or more recognizers; and automatically update a statistics database responsive to results of processing by the one or more recognizers. | 15. A system for processing an interaction, the interaction including an utterance requiring recognition before being usable for further computer-implemented processing, the system comprising non-transitory computer storage media storing programming instructions executable by at least one processor to: receive data representing an utterance from a computer application; using a proxy processor, automatically initiate processing of the data; select, using ancillary information regarding the utterance, one or more recognizers from a first type of recognizer subsystems and a second type of recognizer subsystems; return a recognition result responsive to results of processing by the one or more recognizers; and automatically update a statistics database responsive to results of processing by the one or more recognizers. 16. The system of claim 15 , wherein the instructions to receive further comprise instructions to receive rules from the computer application and wherein said processing of the data is performed in accordance with the rules. | 0.5 |
9,652,688 | 17 | 18 | 17. The computing system of claim 16 , wherein the results of comparisons are based on a matching algorithm. | 17. The computing system of claim 16 , wherein the results of comparisons are based on a matching algorithm. 18. The computing system of claim 17 , wherein the matching algorithm is any of an area-based alignment algorithm or a feature-based alignment algorithm. | 0.5 |
8,688,451 | 7 | 11 | 7. The method of claim 1 , further comprising the step of creating the second grammar by generating a limited set of vocabulary that includes in-vocabulary within the first grammar. | 7. The method of claim 1 , further comprising the step of creating the second grammar by generating a limited set of vocabulary that includes in-vocabulary within the first grammar. 11. The method of claim 7 , wherein step (e) includes determining the input speech to be in-vocabulary, if one of the top results of the first N-best list is also present within the second N-best list, but out-of-vocabulary if none of the top results of the first N-best list is within the second N-best list. | 0.5 |
8,572,682 | 1 | 6 | 1. A computer-implemented method of managing access control policies on a computer system having two high-level programming language environments, comprising: managing, by the computer system, a structured language environment; managing, by the computer system, a dynamic language environment within the structured language environment; receiving a policy, wherein the policy is written in a dynamic language; storing the policy in the dynamic language environment; converting the policy from the dynamic language environment to the structured language environment; and generating a runtime in the structured language environment that includes the policy. | 1. A computer-implemented method of managing access control policies on a computer system having two high-level programming language environments, comprising: managing, by the computer system, a structured language environment; managing, by the computer system, a dynamic language environment within the structured language environment; receiving a policy, wherein the policy is written in a dynamic language; storing the policy in the dynamic language environment; converting the policy from the dynamic language environment to the structured language environment; and generating a runtime in the structured language environment that includes the policy. 6. The computer-implemented method of claim 1 , wherein converting the policy from the dynamic language environment to the structured language environment comprises: generating an extensible markup language document that corresponds to the policy; sending the extensible markup language document from the dynamic language environment to the structured language environment; queuing the extensible markup language document; and processing the extensible markup language document at a defined interval. | 0.5 |
10,082,886 | 15 | 19 | 15. A non-transitory computer-program product tangibly embodied in a machine-readable non-transitory storage medium that includes instructions configured to cause one or more processors to: detect, by a processor on a host computing device, a graphical control element on a graphical user interface (GUI); automatically determine, by the processor, a type of the graphical control element; automatically determine, by the processor, a function associated with controlling the type of the graphical control element; generate, by the processor, configuration control data to cause an input device to configure one or more input elements on the input device to execute the function associated with controlling the type of the graphical control element; and send, by the processor, the configuration control data to the input device, wherein the input device is separate from and communicatively coupled to the host computing device. | 15. A non-transitory computer-program product tangibly embodied in a machine-readable non-transitory storage medium that includes instructions configured to cause one or more processors to: detect, by a processor on a host computing device, a graphical control element on a graphical user interface (GUI); automatically determine, by the processor, a type of the graphical control element; automatically determine, by the processor, a function associated with controlling the type of the graphical control element; generate, by the processor, configuration control data to cause an input device to configure one or more input elements on the input device to execute the function associated with controlling the type of the graphical control element; and send, by the processor, the configuration control data to the input device, wherein the input device is separate from and communicatively coupled to the host computing device. 19. The computer-program product of claim 15 wherein the configuration control data causes the input device to configure at least two of the one or more input elements to perform functions corresponding to the type of the graphical control element, and wherein the at least two of the one or more input elements are associated with different functions. | 0.5 |
10,049,147 | 1 | 19 | 1. A method for processing documents, comprising executing program codes stored in a memory by a processor in a terminal, wherein the terminal is being configured to perform the method, comprising: upon receiving an operation request for a designated document wherein the operation request carries scene information, obtaining constituent information of the designated document, wherein the constituents information comprises a first resource identification of at least one multimedia resource; obtaining, according to the first resource identification of the at least one multimedia resource, the at least one multimedia resource and a location of the at least one multimedia resource within the designated document; obtaining the designated document according to the at least one multimedia resource and the location of the at least one multimedia resource within the designated document; obtaining document type corresponding to the scene information according to the scene information carried by the operation request; generating the document type of the designated document according to the at least one multimedia resource and the location of the designated document; generating a first document type of the designated document, wherein the first document type performs analysis based on preset logic, wherein the generating takes place when the scene information displays a scene and the document type is the first document type, and wherein the generating is according to: the at least one multimedia resource and the location of the at least one multimedia resource within the designated document, and a compilation mode determined by the first document type; or generating a second document type of the designated document, wherein the second document type performs rich text editing, wherein the generating takes place when the scene information is an editing scene and the document type is the second document type, and wherein the generating is according to: the at least one multimedia resource and the location of the at least one multimedia resource within the designated document, and a compilation mode determined by the second document type; and enhancing a loading rate of the designated document by loading and displaying in sequence, the at least one multimedia resource which constitutes the designated document according to a resource loading sequence which is determined by the designated document, such that the loading and displaying sequence enables the designated document starts being displayed without having to wait for a completion of loading and rendering of a whole document which the designated document being one of a plurality of documents or files within the whole document. | 1. A method for processing documents, comprising executing program codes stored in a memory by a processor in a terminal, wherein the terminal is being configured to perform the method, comprising: upon receiving an operation request for a designated document wherein the operation request carries scene information, obtaining constituent information of the designated document, wherein the constituents information comprises a first resource identification of at least one multimedia resource; obtaining, according to the first resource identification of the at least one multimedia resource, the at least one multimedia resource and a location of the at least one multimedia resource within the designated document; obtaining the designated document according to the at least one multimedia resource and the location of the at least one multimedia resource within the designated document; obtaining document type corresponding to the scene information according to the scene information carried by the operation request; generating the document type of the designated document according to the at least one multimedia resource and the location of the designated document; generating a first document type of the designated document, wherein the first document type performs analysis based on preset logic, wherein the generating takes place when the scene information displays a scene and the document type is the first document type, and wherein the generating is according to: the at least one multimedia resource and the location of the at least one multimedia resource within the designated document, and a compilation mode determined by the first document type; or generating a second document type of the designated document, wherein the second document type performs rich text editing, wherein the generating takes place when the scene information is an editing scene and the document type is the second document type, and wherein the generating is according to: the at least one multimedia resource and the location of the at least one multimedia resource within the designated document, and a compilation mode determined by the second document type; and enhancing a loading rate of the designated document by loading and displaying in sequence, the at least one multimedia resource which constitutes the designated document according to a resource loading sequence which is determined by the designated document, such that the loading and displaying sequence enables the designated document starts being displayed without having to wait for a completion of loading and rendering of a whole document which the designated document being one of a plurality of documents or files within the whole document. 19. The method according to claim 1 , further comprising: upon receiving a classification review command wherein the classification review command carries a designated multimedia resource type, displaying the designated multimedia resource type which has been stored in the designated document according to the designated multimedia resource type. | 0.865712 |
7,870,238 | 1 | 7 | 1. A method comprising: connecting, with a computing device that executes a network configuration tool, to a first network device from a first vendor, wherein the first network device stores a first set of configuration information; adaptively extracting, with the network configuration tool, the first set of configuration information stored to the first network device by issuing vendor-specific commands to and receiving, in response to the commands, the first set of configuration information from a first management software interface presented by the first network device; parsing, with the network configuration tool, from the first set of configuration information a first tag, wherein the first tag defines a configuration property for the first network device; connecting, with the computing device, to a second network device from a second vendor, wherein the second network device stores a second set of configuration information; adaptively extracting, with the network configuration tool, the second set of configuration information stored to the second network device by issuing commands to and receiving, in response to the commands, the second set of configuration information from a second management software interface presented by the second network device; parsing, with the network configuration tool, from the second set of configuration information a second tag, wherein the second tag defines a configuration property for the second network device; determining, with the network configuration tool, whether the first tag and the second tag are of a same kind of tag; when the first and second tags are of the same kind of tag, determining that the first tag and second tag each define similar configuration properties that are comparable with the network configuration tool; and when the first and second tags are of the same kind of tag, presenting, with the network device, aggregate configuration information in a manner that organizes the first and second tags based primarily on the kind and second tags and secondarily on the network devices from which the first and second sets of configuration information was received. | 1. A method comprising: connecting, with a computing device that executes a network configuration tool, to a first network device from a first vendor, wherein the first network device stores a first set of configuration information; adaptively extracting, with the network configuration tool, the first set of configuration information stored to the first network device by issuing vendor-specific commands to and receiving, in response to the commands, the first set of configuration information from a first management software interface presented by the first network device; parsing, with the network configuration tool, from the first set of configuration information a first tag, wherein the first tag defines a configuration property for the first network device; connecting, with the computing device, to a second network device from a second vendor, wherein the second network device stores a second set of configuration information; adaptively extracting, with the network configuration tool, the second set of configuration information stored to the second network device by issuing commands to and receiving, in response to the commands, the second set of configuration information from a second management software interface presented by the second network device; parsing, with the network configuration tool, from the second set of configuration information a second tag, wherein the second tag defines a configuration property for the second network device; determining, with the network configuration tool, whether the first tag and the second tag are of a same kind of tag; when the first and second tags are of the same kind of tag, determining that the first tag and second tag each define similar configuration properties that are comparable with the network configuration tool; and when the first and second tags are of the same kind of tag, presenting, with the network device, aggregate configuration information in a manner that organizes the first and second tags based primarily on the kind and second tags and secondarily on the network devices from which the first and second sets of configuration information was received. 7. The method of claim 1 , wherein the first and second tags are stored to respective first and second archives files stored in the memory, the method further comprising: storing the first and second sets of configuration information as raw data files to the respective first and second archive files; and storing meta data associated with the extraction of the first and second sets of configuration information to the respective first and second archive files, wherein the meta data includes one or more of a timestamp, a log message, a package name, a package timestamp, a snapshot identifier, and a user. | 0.83523 |
8,600,729 | 5 | 7 | 5. A text conversion system for converting a paragraph in a source language into a target language, wherein the paragraph comprises a plurality of source language terms, the text conversion system comprising: a storage unit, for storing a term mapping table, wherein the term mapping table records a term mapping relationship between the source language and the target language; a classification unit, coupled to the storage unit, for performing a tokenization process on the paragraph to obtain a plurality of tokenization results and comparing the tokenization results with the term mapping table to determine that each of the source language terms is belonging to a first type or a second type, wherein each of the source language terms belonging to the first type is corresponding to a single target language term, and each of the source language terms belonging to the second type is corresponding to a plurality of candidate target language terms; a conversion unit, coupled to the storage unit and the classification unit, for converting the source language terms belonging to the first type into the corresponding target language terms according to the term mapping relationship recorded in the term mapping table, and regarding each of the source language terms belonging to the second type, calculating a co-occurrence relevance of a plurality of relevant terms corresponding to each of the candidate target language terms by using a language model, selecting a plurality of candidate language terms corresponding to higher ones of the co-occurrence relevance among the candidate target language terms, respectively translating each word in each of the selected candidate target language terms into a corresponding reference language word by using a dictionary supporting the target language and a reference language, and determining a relevance between the corresponding reference language words in each of the selected candidate target language terms according to the dictionary and the corresponding reference language words by the processor, so as to select the candidate target language term having the highest relevance between the corresponding reference language words as the target language term, and converting the source language term into the target language term in the paragraph, wherein each of the relevant terms is constituted by one of the candidate target language terms and at least one word before and after the candidate target language term in the paragraph, and wherein each co-occurrence relevance corresponding to one of the selected candidate target language terms is higher than a first threshold; and an output unit, coupled to the conversion unit, for outputting the paragraph in the target language. | 5. A text conversion system for converting a paragraph in a source language into a target language, wherein the paragraph comprises a plurality of source language terms, the text conversion system comprising: a storage unit, for storing a term mapping table, wherein the term mapping table records a term mapping relationship between the source language and the target language; a classification unit, coupled to the storage unit, for performing a tokenization process on the paragraph to obtain a plurality of tokenization results and comparing the tokenization results with the term mapping table to determine that each of the source language terms is belonging to a first type or a second type, wherein each of the source language terms belonging to the first type is corresponding to a single target language term, and each of the source language terms belonging to the second type is corresponding to a plurality of candidate target language terms; a conversion unit, coupled to the storage unit and the classification unit, for converting the source language terms belonging to the first type into the corresponding target language terms according to the term mapping relationship recorded in the term mapping table, and regarding each of the source language terms belonging to the second type, calculating a co-occurrence relevance of a plurality of relevant terms corresponding to each of the candidate target language terms by using a language model, selecting a plurality of candidate language terms corresponding to higher ones of the co-occurrence relevance among the candidate target language terms, respectively translating each word in each of the selected candidate target language terms into a corresponding reference language word by using a dictionary supporting the target language and a reference language, and determining a relevance between the corresponding reference language words in each of the selected candidate target language terms according to the dictionary and the corresponding reference language words by the processor, so as to select the candidate target language term having the highest relevance between the corresponding reference language words as the target language term, and converting the source language term into the target language term in the paragraph, wherein each of the relevant terms is constituted by one of the candidate target language terms and at least one word before and after the candidate target language term in the paragraph, and wherein each co-occurrence relevance corresponding to one of the selected candidate target language terms is higher than a first threshold; and an output unit, coupled to the conversion unit, for outputting the paragraph in the target language. 7. The text conversion system according to claim 5 , wherein the conversion unit further determines the relevance between the corresponding reference language words according to an appearance frequency of each of the corresponding reference language words in a plurality of literal interpretations in the dictionary. | 0.735343 |
8,380,712 | 15 | 20 | 15. A method for building a custom word list for use in text operations on an electronic device comprising: identifying words in one or more text items; determining a source of each of the one or more text items; and assigning a weighting to each identified word based in part on the source of the text item in which the word was identified by determining a time associated with the source of each of the identified words, wherein words having a more recent time receive an increased weighting. | 15. A method for building a custom word list for use in text operations on an electronic device comprising: identifying words in one or more text items; determining a source of each of the one or more text items; and assigning a weighting to each identified word based in part on the source of the text item in which the word was identified by determining a time associated with the source of each of the identified words, wherein words having a more recent time receive an increased weighting. 20. The method of claim 15 , wherein some of the identified words comprise a number of words. | 0.889021 |
9,275,046 | 20 | 26 | 20. A non-transitory, computer-readable digital storage medium for storing program code for translating a real-time video feed from a first language to a second language, the program code when executed by a processor causes the processor to execute a process comprising steps of: providing an interface for selecting a vertical language text translation box corresponding to one or more words in the first language, wherein the first language is an Asian language comprising a plurality of characters having a vertical alignment; cropping a frame of the real-time video feed of the one or more words of the first language to fit inside the vertical language text translation box to produce a cropped frame; performing character segment detection on the cropped frame to produce a plurality character segments; performing character merging on the character segments to produce a plurality of merged character segments; performing character recognition on the merged character segments to produce a plurality of recognized characters; performing one or more translations on the recognized characters of the first language into one or more translated words of the second language; and displaying the translated words of the second language in augmented reality in the real-time video feed. | 20. A non-transitory, computer-readable digital storage medium for storing program code for translating a real-time video feed from a first language to a second language, the program code when executed by a processor causes the processor to execute a process comprising steps of: providing an interface for selecting a vertical language text translation box corresponding to one or more words in the first language, wherein the first language is an Asian language comprising a plurality of characters having a vertical alignment; cropping a frame of the real-time video feed of the one or more words of the first language to fit inside the vertical language text translation box to produce a cropped frame; performing character segment detection on the cropped frame to produce a plurality character segments; performing character merging on the character segments to produce a plurality of merged character segments; performing character recognition on the merged character segments to produce a plurality of recognized characters; performing one or more translations on the recognized characters of the first language into one or more translated words of the second language; and displaying the translated words of the second language in augmented reality in the real-time video feed. 26. The non-transitory, computer-readable digital storage medium of claim 20 , wherein the second language is selected from the group consisting of English, French, Spanish, German, Italian, Portuguese, Russian, Hindi, Greek, Hebrew, Arabic, Chinese, Korean, Japanese, Vietnamese, Khmer, Lao, and Thai. | 0.705078 |
9,275,045 | 1 | 11 | 1. An input method for a handheld electronic device, the method comprising: receiving an input, wherein the input is associated with a pending linguistic element and at least one previously entered linguistic element; determining that the at least one previously entered linguistic element has a predetermined characteristic, wherein the predetermined characteristic comprises belonging to a particular class of verbs; determining a preferred output for the pending linguistic element based on the predetermined characteristic of the at least one previously entered linguistic element, wherein the preferred output of the pending linguistic element differs from the at least one previously entered linguistic element; outputting a variant component comprising at least the preferred output of the pending linguistic element and an alternative output, wherein the variant component is output in proximity to an output of the at least one previously entered linguistic element; and based on a selection from the variant component, outputting a selected output of the pending linguistic element. | 1. An input method for a handheld electronic device, the method comprising: receiving an input, wherein the input is associated with a pending linguistic element and at least one previously entered linguistic element; determining that the at least one previously entered linguistic element has a predetermined characteristic, wherein the predetermined characteristic comprises belonging to a particular class of verbs; determining a preferred output for the pending linguistic element based on the predetermined characteristic of the at least one previously entered linguistic element, wherein the preferred output of the pending linguistic element differs from the at least one previously entered linguistic element; outputting a variant component comprising at least the preferred output of the pending linguistic element and an alternative output, wherein the variant component is output in proximity to an output of the at least one previously entered linguistic element; and based on a selection from the variant component, outputting a selected output of the pending linguistic element. 11. A method according to claim 1 , further comprising automatically selecting the preferred output for the pending linguistic element. | 0.752747 |
9,152,763 | 10 | 11 | 10. The apparatus of claim 8 , wherein the additional information corresponds to at least one standard code. | 10. The apparatus of claim 8 , wherein the additional information corresponds to at least one standard code. 11. The apparatus of claim 10 , wherein the at least one standard code comprises at least one code selected from the group consisting of an ICD code, a CPT code, an E&M code, and a SNOMED code. | 0.5 |
5,491,640 | 17 | 18 | 17. A method for datapath synthesis as recited in claim 10 wherein said step of synthesizing includes the steps of: creating a netlist according to both said map and to optimization criteria. | 17. A method for datapath synthesis as recited in claim 10 wherein said step of synthesizing includes the steps of: creating a netlist according to both said map and to optimization criteria. 18. A method for datapath synthesis as recited in claim 17 wherein said optimization criteria include at least one of area, speed and delay criteria. | 0.5 |
8,352,927 | 15 | 17 | 15. A computer program product as claimed in claim 14 further comprising carrying out the step of: (f) including in the interactive illustrating, in real-time, displaying to the user the updates to the modeling language depiction and corresponding wizard prompts responsible for producing the expected code. | 15. A computer program product as claimed in claim 14 further comprising carrying out the step of: (f) including in the interactive illustrating, in real-time, displaying to the user the updates to the modeling language depiction and corresponding wizard prompts responsible for producing the expected code. 17. A computer program product as claimed in claim 15 wherein the step of (f) displaying includes displaying the produced modeling language depiction upon user command within or outside of the wizard. | 0.512195 |
9,105,268 | 6 | 7 | 6. The method of claim 2 , further comprising: a control module querying said customer with regard to an action or actions that said customer wishes to perform when said customer connects to said IVR system via a user interface; upon receiving a response from said customer, said control module forwarding said response to a speech recognition module; and said speech recognition module converting said response into text using techniques based on a special grammar that is trained to identify certain keywords more accurately than others. | 6. The method of claim 2 , further comprising: a control module querying said customer with regard to an action or actions that said customer wishes to perform when said customer connects to said IVR system via a user interface; upon receiving a response from said customer, said control module forwarding said response to a speech recognition module; and said speech recognition module converting said response into text using techniques based on a special grammar that is trained to identify certain keywords more accurately than others. 7. The method of claim 6 , further comprising: said control module identifying said customer by constructing an identity key, K for the customer. | 0.590395 |
9,436,777 | 1 | 7 | 1. A method comprising: receiving, by a server computer over a network from a computing device, a first request for search suggestions related to a first search query that has been input into a search term entry area displayed by a web browser executing on the computing device; transmitting in response to the first request, by the server computer over the network to the computing device, instructions for the computing device to display a plurality of search suggestions related to the first search query, each of plurality of the search suggestions representing content from a respective search results web page; setting, by the server computer, a cookie with a time stamp for the displaying of the plurality of the search suggestions related to the first search query; transmitting, by the server computer over the network, instructions to the computing device to receive an identified web page component that is part of at least one respective search results web page prior to an initial display of the respective search results web page by the computing device; transmitting, by the server computer over the network to the computing device, during the transmission of instructions to initially display the plurality of search suggestions related to the first search query, storage instructions that further cause the computing device to store in a memory of the computing device the web page component that is part of the at least one respective search results web page prior to initially displaying the respective search results web page; transmitting, by the server computer over the network instructions to the computing device, to visibly display the plurality of search suggestions related to the first search query transmitted by the server computer without visibly displaying the stored web page component during display of the plurality of search suggestions related to the first search query; receiving, by the server computer over the network, a second request for a second search suggestion related to a second search query; determining, by the server computer, that the time period associated with the timestamp of the cookie related to the first search query has not elapsed; and transmitting, by the server computer over the network, upon determination that the time period related to the first search query has not elapsed, instructions to the computing device to display a search suggestion related to the second search query prior to initially displaying the respective search results web page and further causing the computing device to store a web page component associated with a search results web page corresponding to the search suggestion related to the second search query. | 1. A method comprising: receiving, by a server computer over a network from a computing device, a first request for search suggestions related to a first search query that has been input into a search term entry area displayed by a web browser executing on the computing device; transmitting in response to the first request, by the server computer over the network to the computing device, instructions for the computing device to display a plurality of search suggestions related to the first search query, each of plurality of the search suggestions representing content from a respective search results web page; setting, by the server computer, a cookie with a time stamp for the displaying of the plurality of the search suggestions related to the first search query; transmitting, by the server computer over the network, instructions to the computing device to receive an identified web page component that is part of at least one respective search results web page prior to an initial display of the respective search results web page by the computing device; transmitting, by the server computer over the network to the computing device, during the transmission of instructions to initially display the plurality of search suggestions related to the first search query, storage instructions that further cause the computing device to store in a memory of the computing device the web page component that is part of the at least one respective search results web page prior to initially displaying the respective search results web page; transmitting, by the server computer over the network instructions to the computing device, to visibly display the plurality of search suggestions related to the first search query transmitted by the server computer without visibly displaying the stored web page component during display of the plurality of search suggestions related to the first search query; receiving, by the server computer over the network, a second request for a second search suggestion related to a second search query; determining, by the server computer, that the time period associated with the timestamp of the cookie related to the first search query has not elapsed; and transmitting, by the server computer over the network, upon determination that the time period related to the first search query has not elapsed, instructions to the computing device to display a search suggestion related to the second search query prior to initially displaying the respective search results web page and further causing the computing device to store a web page component associated with a search results web page corresponding to the search suggestion related to the second search query. 7. The method of claim 1 further comprising: transmitting, by the server computer over the network to the computing device, the search results web page for display by the computing device, the computing device using the stored web page component when displaying the search results web page. | 0.735401 |
7,734,562 | 4 | 7 | 4. A computer-implemented method of creating an interactive character comprising: at a computer, receiving a conversational voice input from a user; with a processor of the computer, converting the conversational voice input to a text string; parsing the text string representation of the received input; matching patterns in the text string to key words to semantic concepts using word distance according to a character model for the interactive character; implementing in the character model a plurality of dramatic modes, wherein each dramatic mode has a parameter specifying when that dramatic mode is in effect for a certain time period in a timeline of a story; when the story is in a first time period, selecting a first dramatic mode where the conversational voice input from a user has a first percentage chance of invoking a mode change of the character; when the story is in a second time period after the first time period, selecting a second dramatic mode where the conversational voice input from a user has a second percentage chance of invoking the mode change of the character, wherein the second percentage chance is greater than the first percentage chance; and outputting to a display screen and speaker of the computer a representation of the character being in the changed mode in the first time period when the first percentage chance is exceeded and in the second time period when the second percentage chance is exceeded. | 4. A computer-implemented method of creating an interactive character comprising: at a computer, receiving a conversational voice input from a user; with a processor of the computer, converting the conversational voice input to a text string; parsing the text string representation of the received input; matching patterns in the text string to key words to semantic concepts using word distance according to a character model for the interactive character; implementing in the character model a plurality of dramatic modes, wherein each dramatic mode has a parameter specifying when that dramatic mode is in effect for a certain time period in a timeline of a story; when the story is in a first time period, selecting a first dramatic mode where the conversational voice input from a user has a first percentage chance of invoking a mode change of the character; when the story is in a second time period after the first time period, selecting a second dramatic mode where the conversational voice input from a user has a second percentage chance of invoking the mode change of the character, wherein the second percentage chance is greater than the first percentage chance; and outputting to a display screen and speaker of the computer a representation of the character being in the changed mode in the first time period when the first percentage chance is exceeded and in the second time period when the second percentage chance is exceeded. 7. The method of claim 4 comprising: implementing a semantic behavior response in the character wherein in response to the conversational voice input, outputting to the speaker of the computer a representation of the character having a verbal exclamation. | 0.581967 |
5,543,818 | 1 | 7 | 1. A method for entering text into a computer system using an input device having keys, including the steps of: (a) displaying on a display device a character selection menu which includes simultaneously displayed groups of character representations, each of said groups including representations of B characters, where B is a positive integer not less than two and where the characters within each group are arranged in a pattern; (b) highlighting a selected one of the groups in response to actuation of a first set of the keys; and (c) selecting a character representation within the selected one of the groups in response to actuation of one of a second set of the keys, where said second set of the keys consists of B of the keys and where said second set of the keys is separate from the display device and is arranged in a pattern corresponding to the pattern of the characters within each group. | 1. A method for entering text into a computer system using an input device having keys, including the steps of: (a) displaying on a display device a character selection menu which includes simultaneously displayed groups of character representations, each of said groups including representations of B characters, where B is a positive integer not less than two and where the characters within each group are arranged in a pattern; (b) highlighting a selected one of the groups in response to actuation of a first set of the keys; and (c) selecting a character representation within the selected one of the groups in response to actuation of one of a second set of the keys, where said second set of the keys consists of B of the keys and where said second set of the keys is separate from the display device and is arranged in a pattern corresponding to the pattern of the characters within each group. 7. The method of claim 1, wherein the character selection menu displays the groups as an array of columns and rows of said groups, and wherein step (b) includes the steps of: (d) highlighting a first one of the groups in one of the columns and in an uppermost one of the rows in response to actuation of the first set of the keys; and (e) after step (d), actuating one of the first set of the keys to execute a cursor roll around operation, thereby highlighting a second one of the groups in said one of the columns but in a lowermost one of the rows. | 0.5 |
8,433,575 | 1 | 9 | 1. A method for augmenting an audio signal comprising acts of: receiving an audio signal, extracting features from said audio signal, generating a time ordered table of dramatic parameters according to the extracted features, wherein the dramatic parameters include mood, changes of pace and incidents, selecting a story template at least in part in dependence on said table of dramatic parameters, wherein said story template comprises dramatic parameter data related to a narrative story structure, obtaining media fragments at least in part in dependence on the table of dramatic parameters by matching the dramatic parameters of the selected story template with those of the media fragments, and outputting said media fragments in tandem with said audio signal. | 1. A method for augmenting an audio signal comprising acts of: receiving an audio signal, extracting features from said audio signal, generating a time ordered table of dramatic parameters according to the extracted features, wherein the dramatic parameters include mood, changes of pace and incidents, selecting a story template at least in part in dependence on said table of dramatic parameters, wherein said story template comprises dramatic parameter data related to a narrative story structure, obtaining media fragments at least in part in dependence on the table of dramatic parameters by matching the dramatic parameters of the selected story template with those of the media fragments, and outputting said media fragments in tandem with said audio signal. 9. The method according to claim 1 , wherein said outputting comprises rendering said media fragments and said audio signal. | 0.828729 |
9,990,589 | 2 | 3 | 2. The computer-implemented method of claim 1 , wherein the plurality of search refinement options is determined based on a non-absolute interpretation and an absolute interpretation of the previously received indications of approval and disapproval. | 2. The computer-implemented method of claim 1 , wherein the plurality of search refinement options is determined based on a non-absolute interpretation and an absolute interpretation of the previously received indications of approval and disapproval. 3. The computer-implemented method of claim 2 , wherein a degree of the non-absolute interpretation of the previously received indications of approval, non-approval, and disapproval is based on a number of approvals, non-approvals, and disapprovals for search refinement options in a same search refinement category. | 0.5 |
8,244,610 | 1 | 2 | 1. A method for checking and creating a finalized invoice before billing a client, the method comprising: submitting a preliminary invoice to an automated rules engine running on a computer processor before a final invoice is sent to a client, the preliminary invoice including one or more entries associated with one of a task or an expense; automatically searching the preliminary invoice for one of an expense associated with a task listed in the preliminary invoice or a task associated with an expense listed in the preliminary invoice in a computer-implemented process; automatically querying a user to add one of the associated expense for the task or the associated task for the expense when the search of the preliminary invoice fails to locate the associated expense or associated task listed in the invoice in a computer-implemented process; automatically modifying the preliminary invoice based on a user input received in response to the query in a computer-implemented process, the preliminary invoice including a modified entry that includes the associated expense or the associated task; automatically searching the preliminary invoice for at least one of keywords, phrases, and task billing codes that define possible violation of a company's billing guidelines in a computer-implemented process; and automatically suggesting to the user alternative at least one of keywords, phrases, and task billing codes to be substituted for those that define possible violation of the company's billing guidelines in a computer-implemented process; automatically modifying the preliminary invoice based on a user input received in response to the suggestion in a computer-implemented process, the preliminary invoice including a modified entry that includes the suggested alternative at least one of keywords, phrases, and task billing codes; automatically searching the preliminary invoice for a related fee activity associated with each specific expense billed in the preliminary invoice in a computer-implemented process, wherein when the automated search of the preliminary invoice fails to find a related fee activity associated with a specific expense billed, the method further comprising automatically prompting the user to add the related fee activity not found in a computer-implemented process; automatically modifying the preliminary invoice when a related fee activity not found in the preceding step is added by the user in a computer-implemented process, the preliminary invoice including a modified entry that includes the related fee activity added by the user; and automatically generating a final invoice in a computer-implemented process based on the modified entries for sending to a client for payment. | 1. A method for checking and creating a finalized invoice before billing a client, the method comprising: submitting a preliminary invoice to an automated rules engine running on a computer processor before a final invoice is sent to a client, the preliminary invoice including one or more entries associated with one of a task or an expense; automatically searching the preliminary invoice for one of an expense associated with a task listed in the preliminary invoice or a task associated with an expense listed in the preliminary invoice in a computer-implemented process; automatically querying a user to add one of the associated expense for the task or the associated task for the expense when the search of the preliminary invoice fails to locate the associated expense or associated task listed in the invoice in a computer-implemented process; automatically modifying the preliminary invoice based on a user input received in response to the query in a computer-implemented process, the preliminary invoice including a modified entry that includes the associated expense or the associated task; automatically searching the preliminary invoice for at least one of keywords, phrases, and task billing codes that define possible violation of a company's billing guidelines in a computer-implemented process; and automatically suggesting to the user alternative at least one of keywords, phrases, and task billing codes to be substituted for those that define possible violation of the company's billing guidelines in a computer-implemented process; automatically modifying the preliminary invoice based on a user input received in response to the suggestion in a computer-implemented process, the preliminary invoice including a modified entry that includes the suggested alternative at least one of keywords, phrases, and task billing codes; automatically searching the preliminary invoice for a related fee activity associated with each specific expense billed in the preliminary invoice in a computer-implemented process, wherein when the automated search of the preliminary invoice fails to find a related fee activity associated with a specific expense billed, the method further comprising automatically prompting the user to add the related fee activity not found in a computer-implemented process; automatically modifying the preliminary invoice when a related fee activity not found in the preceding step is added by the user in a computer-implemented process, the preliminary invoice including a modified entry that includes the related fee activity added by the user; and automatically generating a final invoice in a computer-implemented process based on the modified entries for sending to a client for payment. 2. The method of claim 1 , further comprising: generating the preliminary invoice in a computer-implemented process before submitting the preliminary invoice to the automated rules engine, wherein the preliminary invoice is submitted electronically to the rules engine. | 0.5 |
9,652,537 | 1 | 7 | 1. A computerized method, implemented at a processing unit of a computing device, for manipulating a composition of a list of terms associated with a query class, the method comprising: selecting a gallery of entities that are compiled to form the query class, wherein the query class comprises a collection of similarly themed queries previously received from one or more users, wherein the each entity in the gallery of entities corresponds to a query that shares a common categorization with other queries represented by other entities in the gallery of entities; extracting from at least one data store a list of terms, wherein each term in the list of terms is associated with a search refinement path of the query that includes one or more entities compiled in the selected gallery of entities; scanning a structured searchable database to identify at least one of equivalences between terms within the list of terms and relevant terms that share the common categorization with the query class, wherein terms in the list of terms are derived from past searches or are modifiers of past searches, and wherein relevant terms are identified based on scores assigned to one or more topics which indicates the relevance of the relationship between the topics that categorize the gallery of entities assembled to form the query class and the terms in the list of terms; condensing or expanding the composition of the list of terms by applying the equivalences or the relevant terms, respectively, to generate an updated list of terms; replacing the list of terms with the updated list of terms; and writing the updated list of terms, in association with the query class, to a storage location on computer storage media. | 1. A computerized method, implemented at a processing unit of a computing device, for manipulating a composition of a list of terms associated with a query class, the method comprising: selecting a gallery of entities that are compiled to form the query class, wherein the query class comprises a collection of similarly themed queries previously received from one or more users, wherein the each entity in the gallery of entities corresponds to a query that shares a common categorization with other queries represented by other entities in the gallery of entities; extracting from at least one data store a list of terms, wherein each term in the list of terms is associated with a search refinement path of the query that includes one or more entities compiled in the selected gallery of entities; scanning a structured searchable database to identify at least one of equivalences between terms within the list of terms and relevant terms that share the common categorization with the query class, wherein terms in the list of terms are derived from past searches or are modifiers of past searches, and wherein relevant terms are identified based on scores assigned to one or more topics which indicates the relevance of the relationship between the topics that categorize the gallery of entities assembled to form the query class and the terms in the list of terms; condensing or expanding the composition of the list of terms by applying the equivalences or the relevant terms, respectively, to generate an updated list of terms; replacing the list of terms with the updated list of terms; and writing the updated list of terms, in association with the query class, to a storage location on computer storage media. 7. The computerized method of claim 1 , further comprising: analyzing historical click-through data generated by each entity in the gallery of entities, wherein the historical click-through data includes a set of one or more click-through actions; and identifying a selection on a webpage rendered in response to one of the one or more click-through actions. | 0.754795 |
9,531,745 | 8 | 14 | 8. Apparatus, comprising: a processor; computer memory holding computer program instructions executed by one or more processors to reduce security vulnerability in association with a cloud-based static analysis security tool that is accessible by a set of application development environments, the computer program instructions operative to: associate a social networking platform with the application development environments; enable anonymous access to the social networking platform by users of the application development environments, the anonymous access enabling users to upload messages for posting to a forum; prior to posting, filter a message and, responsive to the filtering, automatically obfuscate sensitive data associated with a particular application development environment and any application code included in the message; receive security findings generated as users of the application development environments use the cloud-based static analysis security tool; process the received security findings using machine learning, and store the processed security findings into a knowledgebase; and provide social network content associated with the processed security findings from the knowledgebase as crowdsourced security knowledge generated from use of the cloud-based static analysis security tool by users of the application development environments. | 8. Apparatus, comprising: a processor; computer memory holding computer program instructions executed by one or more processors to reduce security vulnerability in association with a cloud-based static analysis security tool that is accessible by a set of application development environments, the computer program instructions operative to: associate a social networking platform with the application development environments; enable anonymous access to the social networking platform by users of the application development environments, the anonymous access enabling users to upload messages for posting to a forum; prior to posting, filter a message and, responsive to the filtering, automatically obfuscate sensitive data associated with a particular application development environment and any application code included in the message; receive security findings generated as users of the application development environments use the cloud-based static analysis security tool; process the received security findings using machine learning, and store the processed security findings into a knowledgebase; and provide social network content associated with the processed security findings from the knowledgebase as crowdsourced security knowledge generated from use of the cloud-based static analysis security tool by users of the application development environments. 14. The apparatus as described in claim 8 wherein at least first and second of the application development environments are associated with different organizations. | 0.795511 |
9,275,339 | 9 | 10 | 9. The system of claim 8 , further comprising a phonetically similar name generator module configured to receive the first person name and produce the first set of possible intended person names as a function of the first person name. | 9. The system of claim 8 , further comprising a phonetically similar name generator module configured to receive the first person name and produce the first set of possible intended person names as a function of the first person name. 10. The system of claim 9 , wherein the probabilistic matching module is further configured to determine a rank for an intended person name in the second set of possible intended person names by at least in part, determining a probability of an intersection between the first set of possible intended person names and a third set of possible names phonetically similar to the intended person name. | 0.5 |
4,796,639 | 9 | 16 | 9. The process for preliminarily diagnosing pulmonary condition, including the steps of: providing a plurality of first signals, each representing an expected performance value corresponding to a pulmonary function at a normal level; adjustably fixing an upper limit value greater than each of said expected values, and a lower limit value less than each of said expected values, thereby to define a normal range of values corresponding to and encompassing each expected value and including all values between and including the corresponding upper and lower limits; measuring a plurality of pulmonary functions to generate a plurality of performance signals, each representing a measured performance value corresponding to one of said expected values and to one of said ranges; defining the extent of departure of each of said measured performance values from the corresponding one of said ranges, in accordance with the formula EQU B=10(1-M/L) where B equals the extent of departure; M equals the measured performance value; and L equals the one of said upper and lower limits nearest the measured performance value; comparing each measured performance value with the corresponding upper and lower limits; and generating a first output indicating whether each of said measured performance values lies within or outside of its associated one of said ranges, and generating a second output for each measured value outside of its associated range indicating the extent of departure from said associated range. | 9. The process for preliminarily diagnosing pulmonary condition, including the steps of: providing a plurality of first signals, each representing an expected performance value corresponding to a pulmonary function at a normal level; adjustably fixing an upper limit value greater than each of said expected values, and a lower limit value less than each of said expected values, thereby to define a normal range of values corresponding to and encompassing each expected value and including all values between and including the corresponding upper and lower limits; measuring a plurality of pulmonary functions to generate a plurality of performance signals, each representing a measured performance value corresponding to one of said expected values and to one of said ranges; defining the extent of departure of each of said measured performance values from the corresponding one of said ranges, in accordance with the formula EQU B=10(1-M/L) where B equals the extent of departure; M equals the measured performance value; and L equals the one of said upper and lower limits nearest the measured performance value; comparing each measured performance value with the corresponding upper and lower limits; and generating a first output indicating whether each of said measured performance values lies within or outside of its associated one of said ranges, and generating a second output for each measured value outside of its associated range indicating the extent of departure from said associated range. 16. The process of claim 9 wherein the step of comparing each measured performance value with the corresponding upper and lower limits includes the following steps, in sequence: (a) determining the presence of obstructive airways disease (OAD) based on the following mathematical algorithm: EQU OAD degree=FEV.sub.1 /FVC+(FEF 25-75%/5)+(FEF 75%/20) where FVC is the forced vital capacity, FEV.sub.1 is the forced expiratory volume at one second of FVC, and FEF is the forced expiratory flow over 25-75% and at 75% of FVC, respectively; (b) determining the presence of measured diffusion performance values, and identifying such diffusion performance values, if present, as normal, increased or reduced; (c) determining the presence of lung volume measured performance values, and identifying any such values as normal, increased or reduced; and (d) determining the presence of measured performance values responsive to administration of a bronchodilator, and determining any such values to indicate a response that is either significant, not significant, or paradoxical. | 0.5 |
8,219,519 | 1 | 7 | 1. A method of detecting trends in service repairs for vehicles comprising: accessing service repair verbatims from a warranty database, the service repair verbatims including information relating to an identified concern with the vehicle; providing a thesaurus of service repair related terms, the service repair related terms each being associated with at least one of a component category, a concern category, a cause category, and a correction of repair category; identifying key terms in each service repair verbatim, the identified key terms having an association with the service repair related terms in the thesaurus; extracting the key terms from each of the service repair verbatims; selectively associating the extracted key terms in each of the service repair verbatims to a respective one of the categories for the respective service repair verbatims; a user selectively generating a report based on a key term in the component category and at least one other key term from at least one of the other respective categories, the report identifying an aggregate number of the service repair verbatims associated with the key terms selected by the user; and detecting an emerging service issue based on the key terms extracted from the service repair verbatims. | 1. A method of detecting trends in service repairs for vehicles comprising: accessing service repair verbatims from a warranty database, the service repair verbatims including information relating to an identified concern with the vehicle; providing a thesaurus of service repair related terms, the service repair related terms each being associated with at least one of a component category, a concern category, a cause category, and a correction of repair category; identifying key terms in each service repair verbatim, the identified key terms having an association with the service repair related terms in the thesaurus; extracting the key terms from each of the service repair verbatims; selectively associating the extracted key terms in each of the service repair verbatims to a respective one of the categories for the respective service repair verbatims; a user selectively generating a report based on a key term in the component category and at least one other key term from at least one of the other respective categories, the report identifying an aggregate number of the service repair verbatims associated with the key terms selected by the user; and detecting an emerging service issue based on the key terms extracted from the service repair verbatims. 7. The method of claim 1 wherein a service personnel enters a respective verbatim into a correction of repair category. | 0.67663 |
8,751,531 | 12 | 13 | 12. The non-transitory computer-readable medium of claim 11 , wherein one of the first and second text data is generated by computer processing. | 12. The non-transitory computer-readable medium of claim 11 , wherein one of the first and second text data is generated by computer processing. 13. The non-transitory computer-readable medium of claim 12 , wherein the one of the first and second text data is generated by speech recognition. | 0.5 |
7,665,063 | 2 | 3 | 2. The method of claim 1 , wherein said declarative rules are provided as textual expressions. | 2. The method of claim 1 , wherein said declarative rules are provided as textual expressions. 3. The method of claim 2 , further comprising parsing said textual expressions for purposes of identifying input and output variables for one or more declarative rules. | 0.550802 |
7,596,548 | 15 | 16 | 15. The system of claim 13 , wherein the operations further comprise: for each document node in the hierarchical document that is a start event or an end event, adding one or more LookingFor nodes to the LookingFor structure upon finding one or more document nodes in the hierarchical document described by one or more steps of the one or more paths in the query. | 15. The system of claim 13 , wherein the operations further comprise: for each document node in the hierarchical document that is a start event or an end event, adding one or more LookingFor nodes to the LookingFor structure upon finding one or more document nodes in the hierarchical document described by one or more steps of the one or more paths in the query. 16. The system of claim 15 , wherein the operations further comprise: in response to finding a document node of the hierarchical document described by an extraction step of the query, updating the LookingFor node with a matched step instance identifier and building a step instance ancestor path of document nodes that lead to that first document node. | 0.5 |
7,519,529 | 1 | 11 | 1. An automated information retrieval system, comprising: A user interface for receiving a query; an analyzer to process said query based upon at least one attribute related to a user, the analyzer infers one or more informational goals of the user from the query, the one or more informational goals of the user inferred by parsing the query into parts of speech and structural features and employing data obtained by parsing the query to access one or more decision trees in an inference model, the one or more decision trees store conditional probability distribution over the one or more informational goals given the parse data and a physical location of the user; an answer generator that produces one or more responses to the query, the one or more responses are based, at least in part, on the one or more informational goals of the user inferred from the query, and the one or more responses vary in at least one of: length, precision, and detail based on at least one of the inferred informational goals and the attribute; and an inference clarifier that automatically clarifies an inference about at least one of the informational goals before producing the one or more responses by initiating a dialog with the user when the at least one of the inferred informational goals has a likelihood below a predefined probability threshold, wherein at least one of the user attribute or the inference model is refined upon an occurrence of the inference clarification. | 1. An automated information retrieval system, comprising: A user interface for receiving a query; an analyzer to process said query based upon at least one attribute related to a user, the analyzer infers one or more informational goals of the user from the query, the one or more informational goals of the user inferred by parsing the query into parts of speech and structural features and employing data obtained by parsing the query to access one or more decision trees in an inference model, the one or more decision trees store conditional probability distribution over the one or more informational goals given the parse data and a physical location of the user; an answer generator that produces one or more responses to the query, the one or more responses are based, at least in part, on the one or more informational goals of the user inferred from the query, and the one or more responses vary in at least one of: length, precision, and detail based on at least one of the inferred informational goals and the attribute; and an inference clarifier that automatically clarifies an inference about at least one of the informational goals before producing the one or more responses by initiating a dialog with the user when the at least one of the inferred informational goals has a likelihood below a predefined probability threshold, wherein at least one of the user attribute or the inference model is refined upon an occurrence of the inference clarification. 11. The system of claim 1 , at least one of the answer generator and the analyzer are adapted to a search engine, the search engine is directed to retrieval activities associated with at least one of the informational goals or the attribute. | 0.606209 |
8,171,084 | 17 | 20 | 17. The custom emoticon engine as recited in claim 14 , further comprising a character sequence parser, wherein the character sequence is parsed into an object name usable as an emoticon identifier and an emoticon locator. | 17. The custom emoticon engine as recited in claim 14 , further comprising a character sequence parser, wherein the character sequence is parsed into an object name usable as an emoticon identifier and an emoticon locator. 20. The custom emoticon engine as recited in claim 17 , wherein the custom emoticon engine uses an object transport mechanism. | 0.565517 |
10,133,840 | 1 | 2 | 1. A computer-implemented method comprising: receiving, by one or more processor(s), a text-based description of a logic circuit comprising a plurality of logic sub-circuits, wherein the text-based description comprises hierarchical hardware description language statements that define the logic circuit and the plurality of logic sub-circuits; determining within the text-based description, by the one or more processor(s), a set of circuit priority indicators that are explicitly indicated within the text-based description, for a corresponding set of the logic sub-circuits; synthesizing, by the one or more processor(s), the logic circuit according to the set of circuit priority indicators to provide a synthesized circuit description without requiring, or waiting for, estimation of a circuit slack for any of the plurality of logic sub-circuits; and fabricating the logic circuit using the synthesized circuit description wherein a circuit priority indicator is a function parameter. | 1. A computer-implemented method comprising: receiving, by one or more processor(s), a text-based description of a logic circuit comprising a plurality of logic sub-circuits, wherein the text-based description comprises hierarchical hardware description language statements that define the logic circuit and the plurality of logic sub-circuits; determining within the text-based description, by the one or more processor(s), a set of circuit priority indicators that are explicitly indicated within the text-based description, for a corresponding set of the logic sub-circuits; synthesizing, by the one or more processor(s), the logic circuit according to the set of circuit priority indicators to provide a synthesized circuit description without requiring, or waiting for, estimation of a circuit slack for any of the plurality of logic sub-circuits; and fabricating the logic circuit using the synthesized circuit description wherein a circuit priority indicator is a function parameter. 2. The method of claim 1 , wherein the synthesized circuit description retains the circuit priority indicators. | 0.579545 |
9,952,832 | 1 | 4 | 1. A method for automatically generating architecture templates to facilitate development of applications having improved correlation with business requirements, the method implemented by one or more template management computing devices and comprising: identifying one or more technical keywords from received business requirement data by comparing the received business requirement data against information stored in a technical keyword database; identifying an architecture pattern based on the identified technical keywords; automatically generating an architecture template for the received business requirement data using the identified architecture pattern, wherein the generated architecture template comprises a plurality of components; and generating one or more build scripts based on obtained software code corresponding to the components of the architecture template and executing the generated build scripts to generate an application. | 1. A method for automatically generating architecture templates to facilitate development of applications having improved correlation with business requirements, the method implemented by one or more template management computing devices and comprising: identifying one or more technical keywords from received business requirement data by comparing the received business requirement data against information stored in a technical keyword database; identifying an architecture pattern based on the identified technical keywords; automatically generating an architecture template for the received business requirement data using the identified architecture pattern, wherein the generated architecture template comprises a plurality of components; and generating one or more build scripts based on obtained software code corresponding to the components of the architecture template and executing the generated build scripts to generate an application. 4. The method as set forth in claim 1 further comprising identifying the architecture pattern correlated to the identified technical keywords. | 0.71371 |
10,152,973 | 7 | 16 | 7. A computer-implemented method comprising: under control of a server system comprising one or more computing devices configured with specific computer executable instructions, receiving audio data from a client device separate from the server system, wherein the audio data comprises data regarding an utterance of a user; producing first speech processing results using a base speech processing model and the audio data, wherein the base speech processing model is stored at the server system; obtaining a specialized speech processing model from a network-accessible data store separate from the server system and separate from the client device, wherein the obtaining is initiated based at least partly on an attribute of the specialized speech processing model and prior to completion of producing the first speech processing results; determining, based at least partly on a time at which the specialized speech processing model is obtained, that the server system is to produce second speech processing results using the specialized speech processing model subsequent to initiating production of the first speech processing results; and producing the second speech processing results using the specialized speech processing model and at least one of the audio data or the first speech processing results. | 7. A computer-implemented method comprising: under control of a server system comprising one or more computing devices configured with specific computer executable instructions, receiving audio data from a client device separate from the server system, wherein the audio data comprises data regarding an utterance of a user; producing first speech processing results using a base speech processing model and the audio data, wherein the base speech processing model is stored at the server system; obtaining a specialized speech processing model from a network-accessible data store separate from the server system and separate from the client device, wherein the obtaining is initiated based at least partly on an attribute of the specialized speech processing model and prior to completion of producing the first speech processing results; determining, based at least partly on a time at which the specialized speech processing model is obtained, that the server system is to produce second speech processing results using the specialized speech processing model subsequent to initiating production of the first speech processing results; and producing the second speech processing results using the specialized speech processing model and at least one of the audio data or the first speech processing results. 16. The computer-implemented method of claim 7 , further comprising: obtaining a second specialized speech processing model from the network-accessible data store, wherein the obtaining the second specialized speech processing model is based at least partly on an attribute of the second specialized speech processing model and a corresponding attribute of the user, and wherein the obtaining the second specialized speech processing model is initiated prior to completion of producing the first speech processing results; wherein the determining, based at least partly on the time at which the specialized speech processing model is obtained, that the server system is to produce the second speech processing results using the specialized speech processing model comprises determining that the specialized speech processing model has been obtained prior to the second specialized speech processing model. | 0.5 |
9,171,541 | 25 | 29 | 25. A method of natural language utterance processing, the method being implemented in a computer system that includes one or more physical processors executing one or more computer program instructions which, when executed, perform the method, the method comprising: receiving, at the computer system, from a first user device, a natural language utterance; processing, at the computer system, the natural language utterance to determine one or more words of the natural language utterance; receiving, at the computer system, from a second user device, a non-voice user input that relates to the natural language utterance, wherein the first user device and the second user device are associated with a user and are independently operable of one another and of the computer system; processing, at the computer system, the non-voice user input to determine context information for the one or more words; and transmit, by the computer system, the one or more words and the context information to a user processing device to invoke the user processing device to determine one or more interpretations of the natural language utterance based on the one or more words and the context information, wherein the user processing device comprises the first user device, the second user device, or a third user device independently operable of the computer system. | 25. A method of natural language utterance processing, the method being implemented in a computer system that includes one or more physical processors executing one or more computer program instructions which, when executed, perform the method, the method comprising: receiving, at the computer system, from a first user device, a natural language utterance; processing, at the computer system, the natural language utterance to determine one or more words of the natural language utterance; receiving, at the computer system, from a second user device, a non-voice user input that relates to the natural language utterance, wherein the first user device and the second user device are associated with a user and are independently operable of one another and of the computer system; processing, at the computer system, the non-voice user input to determine context information for the one or more words; and transmit, by the computer system, the one or more words and the context information to a user processing device to invoke the user processing device to determine one or more interpretations of the natural language utterance based on the one or more words and the context information, wherein the user processing device comprises the first user device, the second user device, or a third user device independently operable of the computer system. 29. The method of claim 25 , wherein the computer system comprises one or more servers and a virtual router that is independently operable of the one or more servers, wherein receiving the natural language utterance comprises receiving, at the virtual router, the natural language utterance from the first user device, and wherein receiving the non-voice input comprises receiving, at the virtual router, the non-voice user input from the second user device, the method further comprising: transmitting, by the virtual router, the natural language utterance and the non-voice user input to the one or more servers; receiving, at the virtual router, the one or more words and the context information from the one or more servers; and selecting, at the virtual router, from among a plurality of user processing devices, the user processing device to determine the one or more interpretations of the natural language utterance, wherein transmitting the one or more words and the context information comprises transmitting, by the virtual router, the one or more words and the context information to the selected user processing device to invoke the selected user processing device to determine the one or more interpretations of the natural language utterance based on the one or more words and the context information. | 0.5 |
9,087,293 | 1 | 3 | 1. A method implemented in a computer system comprising one or more processors in operable communication with one or more non-transitory, tangible, computer-readable storage media, at least a first one of the non-transitory, tangible computer-readable storage media storing instructions executable by at least one processor, the method comprising: receiving, at the processor, a conceptual graph comprising one or more concept types, one or more relationship types, and one or more arcs; causing the processor to execute one or more instructions configured to: categorize each concept type of the one or more concept types according to the one or more relationship types and the one or more arcs, wherein the categorizing each concept type further comprises: determining that each concept type is directly connected to two or more relationship types by two or more arcs pointing in different directions; and categorizing the each concept type as a context linking concept; record in a second respective one of the non-transitory, tangible, storage media, the categorization of the each concept type of the one or more concept types; identify, based on a respective database of terms stored in a third respective one of the non-transitory, tangible storage media, one or more related terms of at least one particular concept type of the one or more concept types according to the categorization; and searching a plurality of documents in a fourth respective one of the non-transitory, tangible, storage media, for matches to the identified one or more related terms of the at least one particular concept type according to the categorization. | 1. A method implemented in a computer system comprising one or more processors in operable communication with one or more non-transitory, tangible, computer-readable storage media, at least a first one of the non-transitory, tangible computer-readable storage media storing instructions executable by at least one processor, the method comprising: receiving, at the processor, a conceptual graph comprising one or more concept types, one or more relationship types, and one or more arcs; causing the processor to execute one or more instructions configured to: categorize each concept type of the one or more concept types according to the one or more relationship types and the one or more arcs, wherein the categorizing each concept type further comprises: determining that each concept type is directly connected to two or more relationship types by two or more arcs pointing in different directions; and categorizing the each concept type as a context linking concept; record in a second respective one of the non-transitory, tangible, storage media, the categorization of the each concept type of the one or more concept types; identify, based on a respective database of terms stored in a third respective one of the non-transitory, tangible storage media, one or more related terms of at least one particular concept type of the one or more concept types according to the categorization; and searching a plurality of documents in a fourth respective one of the non-transitory, tangible, storage media, for matches to the identified one or more related terms of the at least one particular concept type according to the categorization. 3. The method of claim 1 , the categorizing each concept type further comprising: determining that each concept type fits a concept object pattern; and categorizing each concept type as a concept object. | 0.871681 |
7,647,370 | 8 | 9 | 8. A method according to claim 1 , comprising: opening a socket connection to an interface to facilitate interfacing with said mainframe system; and managing said interface over said socket connection. | 8. A method according to claim 1 , comprising: opening a socket connection to an interface to facilitate interfacing with said mainframe system; and managing said interface over said socket connection. 9. A method according to claim 8 , where managing comprises at least one of: controlling access of said clients to said interface, generating said service definitions, and modifying said service definitions. | 0.5 |
8,049,093 | 1 | 6 | 1. A method for matching an audible query to a set of audible targets, the method comprising the steps of: receiving the audible query; extracting a pitch contour from the audible query; creating a plurality of variable-length segments from the pitch contour; time-normalizing the plurality of variable-length segments so that each segment matches a target segment in length; key-normalizing the plurality of time-normalized segments; comparing each time-normalized and key-normalized segment to portions of possible targets by comparing wavelet coefficients of each time-normalized and key-normalized segment to wavelet coefficients of each time-normalized and key-normalized portion of the possible targets; determining a plurality of locations of best-matched portions of possible targets based on the comparison. | 1. A method for matching an audible query to a set of audible targets, the method comprising the steps of: receiving the audible query; extracting a pitch contour from the audible query; creating a plurality of variable-length segments from the pitch contour; time-normalizing the plurality of variable-length segments so that each segment matches a target segment in length; key-normalizing the plurality of time-normalized segments; comparing each time-normalized and key-normalized segment to portions of possible targets by comparing wavelet coefficients of each time-normalized and key-normalized segment to wavelet coefficients of each time-normalized and key-normalized portion of the possible targets; determining a plurality of locations of best-matched portions of possible targets based on the comparison. 6. The method of claim 1 wherein the audible query comprises a hummed or sung portion of a song. | 0.873351 |
10,025,780 | 2 | 5 | 2. The method of claim 1 , wherein a reliability-value of a first translation of the one or more translations is based on a credibility-score of a first user who submitted an input associated with the first translation. | 2. The method of claim 1 , wherein a reliability-value of a first translation of the one or more translations is based on a credibility-score of a first user who submitted an input associated with the first translation. 5. The method of claim 2 , further comprising: accessing a social graph of an online social network, the social graph comprising a plurality of nodes and a plurality of edges connecting the nodes, each of the edges between two of the nodes representing a single degree of separation between the two nodes, the nodes comprising: a first node that corresponds to the first user who submitted the input associated with the first translation; a plurality of second nodes that each correspond to a second user or a concept; and calculating a credibility-score of the first user based on social-graph information associated with the first node. | 0.5 |
9,537,706 | 14 | 22 | 14. The method of claim 1 wherein populating a successfully paired database with information for each of the successfully paired end user clients includes populating the successfully paired end user clients database with information collected during use of the matching service by the successfully paired end user client and which is indicative of non-profile related end user client interactions via the matching service. | 14. The method of claim 1 wherein populating a successfully paired database with information for each of the successfully paired end user clients includes populating the successfully paired end user clients database with information collected during use of the matching service by the successfully paired end user client and which is indicative of non-profile related end user client interactions via the matching service. 22. The method of claim 14 wherein the non-profile related end user client interactions include a selection of another end user client by the at least one end user client in response to a presentation to the at least one end user client of an image of the other end user client without profile information. | 0.521875 |
7,696,999 | 11 | 16 | 11. A transmitter comprising means for transferring an information signal to receiver via a transfer medium, the information signal comprising main data and sub data, the sub data comprising coded text lines having a plurality of character codes, wherein the coded text lines comprises control codes for controlling display of characters representing the coded text lines on a display unit of which the number character positions on a display line is less than the number of characters in the coded text lines. | 11. A transmitter comprising means for transferring an information signal to receiver via a transfer medium, the information signal comprising main data and sub data, the sub data comprising coded text lines having a plurality of character codes, wherein the coded text lines comprises control codes for controlling display of characters representing the coded text lines on a display unit of which the number character positions on a display line is less than the number of characters in the coded text lines. 16. The transmitter as claimed in claim 11 , wherein the sub data comprise text packets, each text packet comprising a coded text line and additional control codes, wherein a part of the text packets comprises an indicating control code indicating that the corresponding packet comprises a coded text line with text information to be displayed on the display unit. | 0.5 |
8,312,376 | 1 | 4 | 1. A method, comprising: maintaining a user profile of a user to track user requests for media content; receiving a bookmark save event from a media device when a bookmark is initiated by the user while a video stream of media content is rendered by the media device; interpreting the bookmark to determine one or more bookmark representations based on a context interpretation of the bookmark with respect to the media content and based on the user requests that are tracked in the user profile for different types of the media content, the one or more bookmark representations derived from metadata that accompanies the media content; maintaining the bookmark for selection; and providing one or more of the bookmark representations that correspond to the bookmark when a request for the bookmark is received. | 1. A method, comprising: maintaining a user profile of a user to track user requests for media content; receiving a bookmark save event from a media device when a bookmark is initiated by the user while a video stream of media content is rendered by the media device; interpreting the bookmark to determine one or more bookmark representations based on a context interpretation of the bookmark with respect to the media content and based on the user requests that are tracked in the user profile for different types of the media content, the one or more bookmark representations derived from metadata that accompanies the media content; maintaining the bookmark for selection; and providing one or more of the bookmark representations that correspond to the bookmark when a request for the bookmark is received. 4. A method as recited in claim 1 , further comprising interpreting the bookmark to determine the one or more bookmark representations based on a type of the media device from which the bookmark save event is initiated. | 0.553061 |
4,177,514 | 1 | 4 | 1. A distributive function information processing system made up of interconnected processing elements for use in combination with one or more input or output devices such as display devices, keyboards, printers, cathode ray tubes and data links, comprising: a. a plurality of processing elements including: (1) one or more data processors for receiving, transforming and transmitting data in response to control signals, and (2) two or more control processors for generating and transmitting control signals for operating said system; b. a plurality of control arcs interconnecting said processing elements into a system, each said control arc consisting of: (1) control arc logic circuitry for generating and transmitting said control signals constituting a control arc transmitter, (2) control arc logic circuitry for receiving and interpreting said control signals constituting a control arc receiver, and (3) electrical connectors constituting control arc communication lines interconnecting said control arc transmitter and said control arc receiver into a control arc for conveying said control signals from transmitter to the receiver and for conveying responses to said control signals from receiver to transmitter whereby each control arc can pass said control signals in the direction from transmitter to receiver, said control arc logic circuits being located in and forming a part of said processing elements with the two logic circuits of each control arc being located in a different processing element with control arc transmitters being located only in said control processors, with control arc receivers being located in either control processors or data processors and with at least one control processor containing a control arc receiver whereby each control arc interconnects two processing elements for interconnecting said processing elements into said system, wherein the number of control arcs is equal to or greater than the total number of control and data processors, wherein said control arcs interconnecting two or more of the processing elements in a system describe a loop and wherein one said control processor includes, in addition to the control arc logic circuitry constituting a portion of one or more said control arcs, state defined control circuitry permitting said one control processor to assume, in turn, two or more different states to have state defined control whereby the control function performed by said one control processor depends in part on its state; c. input and output data lines for connecting one or more processing elements with one or more said input or output devices wherein the network created by processing elements when interconnected by said control arcs defines a mathematical graph in the sense of graph mathematics over the processing elements and wherein said processing elements constitute the nodes of the graph; and d. data path means for movement of data among said processing elements, said electrical connectors constituting control arc communication lines also constituting means for movement of data in the same direction as said control signals are moved thereby constituting a portion of said data path means; whereby said system may accept data from said input device, operate and transform data using a control scheme based on graph theory mathematics and produce data usable by said output device. | 1. A distributive function information processing system made up of interconnected processing elements for use in combination with one or more input or output devices such as display devices, keyboards, printers, cathode ray tubes and data links, comprising: a. a plurality of processing elements including: (1) one or more data processors for receiving, transforming and transmitting data in response to control signals, and (2) two or more control processors for generating and transmitting control signals for operating said system; b. a plurality of control arcs interconnecting said processing elements into a system, each said control arc consisting of: (1) control arc logic circuitry for generating and transmitting said control signals constituting a control arc transmitter, (2) control arc logic circuitry for receiving and interpreting said control signals constituting a control arc receiver, and (3) electrical connectors constituting control arc communication lines interconnecting said control arc transmitter and said control arc receiver into a control arc for conveying said control signals from transmitter to the receiver and for conveying responses to said control signals from receiver to transmitter whereby each control arc can pass said control signals in the direction from transmitter to receiver, said control arc logic circuits being located in and forming a part of said processing elements with the two logic circuits of each control arc being located in a different processing element with control arc transmitters being located only in said control processors, with control arc receivers being located in either control processors or data processors and with at least one control processor containing a control arc receiver whereby each control arc interconnects two processing elements for interconnecting said processing elements into said system, wherein the number of control arcs is equal to or greater than the total number of control and data processors, wherein said control arcs interconnecting two or more of the processing elements in a system describe a loop and wherein one said control processor includes, in addition to the control arc logic circuitry constituting a portion of one or more said control arcs, state defined control circuitry permitting said one control processor to assume, in turn, two or more different states to have state defined control whereby the control function performed by said one control processor depends in part on its state; c. input and output data lines for connecting one or more processing elements with one or more said input or output devices wherein the network created by processing elements when interconnected by said control arcs defines a mathematical graph in the sense of graph mathematics over the processing elements and wherein said processing elements constitute the nodes of the graph; and d. data path means for movement of data among said processing elements, said electrical connectors constituting control arc communication lines also constituting means for movement of data in the same direction as said control signals are moved thereby constituting a portion of said data path means; whereby said system may accept data from said input device, operate and transform data using a control scheme based on graph theory mathematics and produce data usable by said output device. 4. The distributive function information processing system of claim 1 wherein: a. said system includes two or more control processors having state defined control; and b. said loop described by control arcs in interconnecting processing elements includes three or more control processors interconnected by control arcs which are oriented as to the direction in which control signals can be passed so that said control signals can be passed completely around said loop in a single direction whereby said loop constitutes a directed cycle permitting application of a theory of operation based on the directed graph theory of mathematics. | 0.946906 |
8,589,156 | 8 | 9 | 8. The system of claim 1 , wherein each of recognized words in the results from the multiple speech recognizers further includes a weighting factor for the word, and wherein the combination mechanism is further to select a word from one of the multiple speech recognizers as a recognized word for the single result based on the weighting factor of that word. | 8. The system of claim 1 , wherein each of recognized words in the results from the multiple speech recognizers further includes a weighting factor for the word, and wherein the combination mechanism is further to select a word from one of the multiple speech recognizers as a recognized word for the single result based on the weighting factor of that word. 9. The system of claim 8 , wherein, if a word from the mobile-device-based speech recognizer matches a word from the server-based speech recognizer, the combination mechanism is to select that word as a recognized word for the single result, and if a word from the mobile-device-based speech recognizer does not match a corresponding word from the server-based speech recognizer, the combination mechanism is to combine the confidence score and weighting factor of that word to generate a comparison value, and select one of the words based on the comparison values of the words. | 0.5 |
9,244,903 | 12 | 14 | 12. The medium of claim 8 , further comprising: dividing the plurality of pattern matching rules into subgroups, wherein a first subgroup contains the one or more optimized pattern matching rules, and wherein a second subgroup contains all other pattern matching rules; and applying each of the first subgroup before applying the second subgroup. | 12. The medium of claim 8 , further comprising: dividing the plurality of pattern matching rules into subgroups, wherein a first subgroup contains the one or more optimized pattern matching rules, and wherein a second subgroup contains all other pattern matching rules; and applying each of the first subgroup before applying the second subgroup. 14. The medium of claim 12 , further comprising: determining which of the pattern matching rules are candidates to be a part of the first subgroup based on dependency relationships between two or more rules, wherein the pattern matching rules having a most related rules are candidates to be a part of the first subgroup. | 0.5 |
9,208,142 | 1 | 2 | 1. A method for analyzing documents corresponding to demographics, the method comprising: a computer determining whether demographic information associated with a first text analysis algorithm indicates that the first text analysis algorithm is intended to analyze a document based on demographic information associated with the document, wherein Natural Language Processing (NLP) utilizes text analysis algorithms to produce an analysis of the document and provide annotations; wherein the demographic information associated with the first text analysis algorithm is a demographic score that indicates a relationship to one or more demographic profiles, and the demographic information associated with the document is a demographic profile of an author of the document; responsive to determining that demographic information associated with the first text analysis algorithm does indicate that the first text analysis algorithm is intended to analyze the document, the computer analyzing the document utilizing the first text analysis algorithm; and the computer generating a set of annotations for the document based on the analysis of the document utilizing the first text analysis algorithm. | 1. A method for analyzing documents corresponding to demographics, the method comprising: a computer determining whether demographic information associated with a first text analysis algorithm indicates that the first text analysis algorithm is intended to analyze a document based on demographic information associated with the document, wherein Natural Language Processing (NLP) utilizes text analysis algorithms to produce an analysis of the document and provide annotations; wherein the demographic information associated with the first text analysis algorithm is a demographic score that indicates a relationship to one or more demographic profiles, and the demographic information associated with the document is a demographic profile of an author of the document; responsive to determining that demographic information associated with the first text analysis algorithm does indicate that the first text analysis algorithm is intended to analyze the document, the computer analyzing the document utilizing the first text analysis algorithm; and the computer generating a set of annotations for the document based on the analysis of the document utilizing the first text analysis algorithm. 2. The method of claim 1 , further comprising: the computer determining whether a second text analysis algorithm is available; and responsive to determining that a second text analysis algorithm is not available, the computer providing information from the analysis of the document utilizing one or more text analysis algorithms. | 0.778898 |
8,285,580 | 11 | 16 | 11. The method of claim 5 further comprising: invoking a service that writes data from the exception object data record from a temporary buffer table into a corresponding table in the database when the posted exception object data record is determined to be held persistently. | 11. The method of claim 5 further comprising: invoking a service that writes data from the exception object data record from a temporary buffer table into a corresponding table in the database when the posted exception object data record is determined to be held persistently. 16. The method of claim 11 , further comprising storing the posted exception object data record determined to be held temporarily in a temporary container after setting the attribute in the exception object to not requiring user action. | 0.5 |
10,095,749 | 9 | 11 | 9. A system comprising: memory storing: an information source; business knowledge comprising information about users and business objects comprising; and an application for: receiving a search query from a user, the search query querying information from the information source; identifying features associated with the user and/or the business objects and for which result sets are to include boosting of result items based on business knowledge associated with the user and the information source; identifying, for each identified feature, query terms in the received search query to which a particular feature applies; for each identified query term to which a particular feature applies, adding a significance factor to the identified query term to boost a result item by a particular significance, identifying a weight for one or more feature-value pairs associated with the query term, each weight based on the business knowledge associated with the user and the information source, the business knowledge used to identify one or more feature-value pairs to which the weight is applicable, and using the weights to adjust the effect of significance factors; generating a weighted search query that includes weighted query parts, each weighted query part being a function of a respective query term and an associated weight, wherein the weighted search query is a re-written version of the received search query, the weighted search query including: in-terms having high weights and including selection criteria matching a respective query term and including the values of the one or more feature-value pairs, the in-terms boosting ranks of corresponding result items in the ranked result set according to the weights associated with the one or more feature-value pairs; and out-terms having low weights and including selection criteria matching a respective query term and excluding the values of the one or more feature-value pairs, the out-terms not affecting ranks of corresponding result items in the ranked result set; executing the weighted search query to produce a ranked result set that includes result items ranked according to the weights, the ranked result set including identical, but ranked, result entries that would be produced by executing the received search query; and providing the ranked result set in response to the received search query. | 9. A system comprising: memory storing: an information source; business knowledge comprising information about users and business objects comprising; and an application for: receiving a search query from a user, the search query querying information from the information source; identifying features associated with the user and/or the business objects and for which result sets are to include boosting of result items based on business knowledge associated with the user and the information source; identifying, for each identified feature, query terms in the received search query to which a particular feature applies; for each identified query term to which a particular feature applies, adding a significance factor to the identified query term to boost a result item by a particular significance, identifying a weight for one or more feature-value pairs associated with the query term, each weight based on the business knowledge associated with the user and the information source, the business knowledge used to identify one or more feature-value pairs to which the weight is applicable, and using the weights to adjust the effect of significance factors; generating a weighted search query that includes weighted query parts, each weighted query part being a function of a respective query term and an associated weight, wherein the weighted search query is a re-written version of the received search query, the weighted search query including: in-terms having high weights and including selection criteria matching a respective query term and including the values of the one or more feature-value pairs, the in-terms boosting ranks of corresponding result items in the ranked result set according to the weights associated with the one or more feature-value pairs; and out-terms having low weights and including selection criteria matching a respective query term and excluding the values of the one or more feature-value pairs, the out-terms not affecting ranks of corresponding result items in the ranked result set; executing the weighted search query to produce a ranked result set that includes result items ranked according to the weights, the ranked result set including identical, but ranked, result entries that would be produced by executing the received search query; and providing the ranked result set in response to the received search query. 11. The system of claim 9 , wherein the respective feature-value pair identifies a value that is a constant, a range, a string, or a set. | 0.78115 |
7,616,342 | 21 | 22 | 21. The system of claim 20 wherein said processor processes each callout among said plurality of callouts separately from each object among said plurality of objects utilizing said plurality of attributes associated with an object among said plurality of objects in order to determine place and size data for each callout thereof. | 21. The system of claim 20 wherein said processor processes each callout among said plurality of callouts separately from each object among said plurality of objects utilizing said plurality of attributes associated with an object among said plurality of objects in order to determine place and size data for each callout thereof. 22. The system of claim 21 wherein at least one callout among said plurality of callouts comprises a form callout, an image callout and/or a logo callout. | 0.5 |
9,081,782 | 11 | 13 | 11. A computer program product for implementing within a computer system a method for dynamically generating a graphical memorabilia project, the computer program product comprising: a computer-readable, non-transitory medium for providing computer program code means utilized to implement the method, wherein the computer program code means is comprised of executable code for implementing: providing a dynamic page layout template having a first well of a first well type and multiple wells of a second well type, wherein a location of the first well of the first well type and locations of the wells of the second well type are fixed with respect to the template, wherein the first well will accept an image while preventing one or more background design elements from being disposed therein, wherein each of the one or more background design elements comprises a virtual design that is configured to resemble a decorative element for use in a physical memorabilia project, wherein each of the wells of the second well type will accept an individual background design element, while preventing the image from being disposed therein, wherein the wells of the second well type are divided into well classes, and wherein wells of the second well type that are of the same well class are governed by similar pre-determined rules, such that a change to one of the wells that is of the second well type and of a first well class will cause a similar change to another well of the second well type and of the first well class; and placing the image in the first well. | 11. A computer program product for implementing within a computer system a method for dynamically generating a graphical memorabilia project, the computer program product comprising: a computer-readable, non-transitory medium for providing computer program code means utilized to implement the method, wherein the computer program code means is comprised of executable code for implementing: providing a dynamic page layout template having a first well of a first well type and multiple wells of a second well type, wherein a location of the first well of the first well type and locations of the wells of the second well type are fixed with respect to the template, wherein the first well will accept an image while preventing one or more background design elements from being disposed therein, wherein each of the one or more background design elements comprises a virtual design that is configured to resemble a decorative element for use in a physical memorabilia project, wherein each of the wells of the second well type will accept an individual background design element, while preventing the image from being disposed therein, wherein the wells of the second well type are divided into well classes, and wherein wells of the second well type that are of the same well class are governed by similar pre-determined rules, such that a change to one of the wells that is of the second well type and of a first well class will cause a similar change to another well of the second well type and of the first well class; and placing the image in the first well. 13. The computer program product of claim 11 , wherein the computer program code means is further comprised of executable code for implementing the step of placing a different piece of the one or more background design elements in some of the wells of the second well type. | 0.763021 |
9,495,413 | 17 | 18 | 17. The system of claim 11 , wherein the at least one processor is operable to generate the one or more input fields by: identifying one or more parameters associated with the selected database object; determining a respective type associated with each of the one or more parameters; and iteratively generating one or more respective input fields based on the determined respective types. | 17. The system of claim 11 , wherein the at least one processor is operable to generate the one or more input fields by: identifying one or more parameters associated with the selected database object; determining a respective type associated with each of the one or more parameters; and iteratively generating one or more respective input fields based on the determined respective types. 18. The system of claim 17 , wherein the at least one processor is operable to generate one or more respective input fields based on the determined respective types by: identifying at least one parameter type as a parameter type to receive particular processing; accessing one or more rules for processing the identified at least one parameter type; and processing the identified at least one parameter type utilizing the accessed one or more rules. | 0.5 |
8,700,402 | 8 | 13 | 8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising: receiving a list of speech recognition candidates; receiving a list of current partitions, wherein each partition in the list of current partitions is a group of dialog states; in an outer loop, iterating over each of the speech recognition candidates in the list of speech recognition candidates; in an inner loop, performing a split process, an update process, and a recombination process via the processor, wherein additional partitions are added to the current partitions after each speech recognition candidate in the list such that each speech recognition candidate has a fixed number; and recognizing speech based on the list and the fixed number of partitions. | 8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising: receiving a list of speech recognition candidates; receiving a list of current partitions, wherein each partition in the list of current partitions is a group of dialog states; in an outer loop, iterating over each of the speech recognition candidates in the list of speech recognition candidates; in an inner loop, performing a split process, an update process, and a recombination process via the processor, wherein additional partitions are added to the current partitions after each speech recognition candidate in the list such that each speech recognition candidate has a fixed number; and recognizing speech based on the list and the fixed number of partitions. 13. The system of claim 8 , wherein the recombination process ignores distinctions between two partitions when recombining the two partitions. | 0.5 |
8,811,638 | 1 | 42 | 1. A method for providing audible assistance via a hearing device, the method comprising: receiving data representing a speech signal obtained at a hearing device associated with a user, the speech signal representing an utterance of a speaker; identifying the speaker based on the data representing the speech signal; determining speaker-related information associated with the identified speaker; determining whether or not the user can name the speaker, by determining whether the user has named the speaker; and when it is determined that the user cannot name the speaker, informing the user of the speaker-related information via the hearing device, wherein the informing the user of the speaker-related information via the hearing device includes: informing the user of an identifier of the speaker. | 1. A method for providing audible assistance via a hearing device, the method comprising: receiving data representing a speech signal obtained at a hearing device associated with a user, the speech signal representing an utterance of a speaker; identifying the speaker based on the data representing the speech signal; determining speaker-related information associated with the identified speaker; determining whether or not the user can name the speaker, by determining whether the user has named the speaker; and when it is determined that the user cannot name the speaker, informing the user of the speaker-related information via the hearing device, wherein the informing the user of the speaker-related information via the hearing device includes: informing the user of an identifier of the speaker. 42. The method of claim 1 , wherein the determining whether or not the user can name the speaker includes: performing speech recognition to convert an utterance of the user into text data; and determining whether or not the user can name the speaker based at least in part on the text data. | 0.78863 |
9,218,397 | 19 | 20 | 19. The computer program product of claim 17 , wherein the operations further comprise: determining that the particular search result is highly ranked for the second search query; wherein the modifying is further in response to determining that the particular search result is highly ranked for the second search query. | 19. The computer program product of claim 17 , wherein the operations further comprise: determining that the particular search result is highly ranked for the second search query; wherein the modifying is further in response to determining that the particular search result is highly ranked for the second search query. 20. The computer program product of claim 19 , wherein determining that the particular search result is highly ranked for the second search query comprises determining that the particular search result appears within a threshold number of highest-ranked second search results of the second search results responsive to the second search query. | 0.5 |
8,577,149 | 1 | 8 | 1. A non-transitory storage medium storing a program which is executable by a computer of an apparatus which is configured to display information in at least first, second and third different display areas and which includes a coordinate input device, the program, when executed, causing the computer to perform operations comprising: receiving an input corresponding to a user's operation in the third display area; determining headword data corresponding to the received input and searching, for sentence data that describes in detail a meaning of the headword data, a data group including at least sentence data in the form of text data corresponding to a plurality of pieces of headword data; displaying, in the first display area, at least a portion of a sentence image based on retrieved sentence data; copying at least a portion of the sentence image displayed in the first display area and displaying the copied portion in the second display area; detecting a coordinate point output from the coordinate input device; editing the sentence image displayed in the second display area in accordance with the detected coordinate point; and transmitting the edited sentence image, via a communications section, to another apparatus. | 1. A non-transitory storage medium storing a program which is executable by a computer of an apparatus which is configured to display information in at least first, second and third different display areas and which includes a coordinate input device, the program, when executed, causing the computer to perform operations comprising: receiving an input corresponding to a user's operation in the third display area; determining headword data corresponding to the received input and searching, for sentence data that describes in detail a meaning of the headword data, a data group including at least sentence data in the form of text data corresponding to a plurality of pieces of headword data; displaying, in the first display area, at least a portion of a sentence image based on retrieved sentence data; copying at least a portion of the sentence image displayed in the first display area and displaying the copied portion in the second display area; detecting a coordinate point output from the coordinate input device; editing the sentence image displayed in the second display area in accordance with the detected coordinate point; and transmitting the edited sentence image, via a communications section, to another apparatus. 8. The storage medium storing the program according to claim 1 , wherein the program causes the computer to perform further operations comprising: generating a production source image comprising a name of a production source of the sentence data; and combining the production source image in a partial area of the sentence image based on the retrieved sentence data, and wherein the combined sentence image is displayed, and the combined sentence image is editable in accordance with the detected coordinate point, and an area in which the production source image is displayed is not edited editable. | 0.709865 |
8,386,453 | 6 | 8 | 6. The method of claim 1 , where the reference page comprises: an excerpt from the scanned document; and a set of links to portions of the scanned document. | 6. The method of claim 1 , where the reference page comprises: an excerpt from the scanned document; and a set of links to portions of the scanned document. 8. The method of claim 6 , where the set of links references at least one of: a front cover associated with the scanned document; a table of contents associated with the scanned document; an index associated with the scanned document; or a back cover associated with the scanned document. | 0.5 |
9,514,741 | 18 | 19 | 18. The system according to claim 14 , further comprising a storage module configured to maintain a store of the text segments and the corresponding depersonalized audio features. | 18. The system according to claim 14 , further comprising a storage module configured to maintain a store of the text segments and the corresponding depersonalized audio features. 19. The system according to claim 18 , wherein the storage module is configured to: store each text segment together with its corresponding depersonalized audio feature; and randomize the text segments and corresponding depersonalized audio features. | 0.5 |
6,016,492 | 1 | 5 | 1. An improved method of formatting information in a program module operative in a computer system, comprising the steps of: storing a property information array stored in association with a program module, the property information array comprising formatting information for applying to data elements in a computer file upon which the program module is operative for manipulating; providing a data structure for storing data elements corresponding to the data to be formatted; providing a property modifier structure for storing groups of data formatting property modifiers and corresponding arguments that represent the appearance of the data elements; providing a data format structure for storing linking information that associates the data elements with corresponding groups of data formatting property modifiers, in response to an output display device command with respect to a selected data element in the data structure, accessing the data formatting structure to determine the location in the property modifier structure of a selected one of the groups of the data formatting property modifiers corresponding to the selected data element, each data formatting property modifier having a corresponding property modifier argument and comprising an index field including an index into the property information array associated with the program module; and displaying the selected data element in accordance with the formatting information obtained in response to accessing the property information array with each index of the data formatting property modifiers in the selected group of data formatting property modifiers. | 1. An improved method of formatting information in a program module operative in a computer system, comprising the steps of: storing a property information array stored in association with a program module, the property information array comprising formatting information for applying to data elements in a computer file upon which the program module is operative for manipulating; providing a data structure for storing data elements corresponding to the data to be formatted; providing a property modifier structure for storing groups of data formatting property modifiers and corresponding arguments that represent the appearance of the data elements; providing a data format structure for storing linking information that associates the data elements with corresponding groups of data formatting property modifiers, in response to an output display device command with respect to a selected data element in the data structure, accessing the data formatting structure to determine the location in the property modifier structure of a selected one of the groups of the data formatting property modifiers corresponding to the selected data element, each data formatting property modifier having a corresponding property modifier argument and comprising an index field including an index into the property information array associated with the program module; and displaying the selected data element in accordance with the formatting information obtained in response to accessing the property information array with each index of the data formatting property modifiers in the selected group of data formatting property modifiers. 5. The method of claim 1, wherein the step of displaying the selected information in accordance with the formatting information comprises the steps of: in response to the output display device command, determining the selected data element to be displayed; determining the selected property modifier group associated with the selected data element to be displayed; locating each property modifier and its argument in the property modifier group associated with the selected data element to be displayed; utilizing the index of each data formatting property modifier to reference the property information array associated with the program module to obtain formatting information; and applying the formatting information to the selected data element to be displayed. | 0.5 |
8,935,238 | 1 | 8 | 1. A method of assisting a user in organizing new content obtained from a set of search results, said method comprising: receiving the set of search results in response to a session of one or more searches conducted by the user for information related to an objective of the user; monitoring interactions by the user with one or more of the search results and a local organized content structure belonging to the user, where the interactions reflect the user's efforts to organize the new content into categories; receiving, from the user, one or more uncategorized results of interest based on the set of search results, wherein each of the one or more uncategorized results of interest is related to the objective of the user; determining a suggested categorization for at least one of the one or more uncategorized results of interest within the local organized content structure based on one or more existing categorizations within a global organized content structure, said global organized content structure comprising content obtained from previously monitored interactions with at least one other user; and outputting information indicating the suggested categorization within the local organized content structure. | 1. A method of assisting a user in organizing new content obtained from a set of search results, said method comprising: receiving the set of search results in response to a session of one or more searches conducted by the user for information related to an objective of the user; monitoring interactions by the user with one or more of the search results and a local organized content structure belonging to the user, where the interactions reflect the user's efforts to organize the new content into categories; receiving, from the user, one or more uncategorized results of interest based on the set of search results, wherein each of the one or more uncategorized results of interest is related to the objective of the user; determining a suggested categorization for at least one of the one or more uncategorized results of interest within the local organized content structure based on one or more existing categorizations within a global organized content structure, said global organized content structure comprising content obtained from previously monitored interactions with at least one other user; and outputting information indicating the suggested categorization within the local organized content structure. 8. The method of claim 1 , further comprising: recording the set of search results as a search session of the user; and publishing the recorded search session to at least one other user. | 0.809816 |
8,306,962 | 21 | 22 | 21. The media of claim 17 , wherein the software is further operable when executed by the one or more computer systems to: group the plurality of keywords into one or more keyword groups based on similarities between the one or more labels annotating each keyword, each keyword group comprising one or more keywords of the plurality of keywords; and form one or more advertising groups from the one or more keyword groups, comprising: form at least one of the one or more advertising groups from each keyword group, each advertising group comprising at least one of the one or more keywords in the keyword group. | 21. The media of claim 17 , wherein the software is further operable when executed by the one or more computer systems to: group the plurality of keywords into one or more keyword groups based on similarities between the one or more labels annotating each keyword, each keyword group comprising one or more keywords of the plurality of keywords; and form one or more advertising groups from the one or more keyword groups, comprising: form at least one of the one or more advertising groups from each keyword group, each advertising group comprising at least one of the one or more keywords in the keyword group. 22. The media of claim 21 , wherein form at least one of the one or more advertising groups from each keyword group comprises: determine similarities between the one or more keywords in the keyword group by applying a clustering algorithm to one or more keyword documents respectively corresponding to the one or more keywords in the keyword group; and divide the one or more keywords in the keyword group into the at least one of the one or more advertising groups based on the similarities between the one or more keywords in the keyword group. | 0.5 |
9,507,768 | 1 | 3 | 1. A computer-implemented method for processing streams of information security data from one or more networked computer systems, the method comprising: receiving, by a machine learning engine executing on one or more computing systems, an ordered stream of normalized vectors corresponding to information security data obtained from one or more sensors monitoring a computer network; generating a neuro-linguistic model of the information security data by: clustering the ordered stream of vectors and assigning a letter to each cluster, outputting an ordered sequence of letters based on a mapping of the ordered stream of normalized vectors to the clusters, building a dictionary of words from of the ordered output of letters, outputting an ordered stream of words based on the ordered output of letters, and generating a plurality of phrases based on the ordered output of words; evaluating a current observation of letters, words, or phrases generated from one or more subsequent normalized vectors received from the ordered stream input to the neuro-linguistic model to determine a measure of unusualness for the current observation of letters, words, or phrases; generating an alert when the measure of unusualness determined for the current observation of letters, words, or phrases exceeds a specified threshold, wherein the alert corresponds to activity occurring within the computer network which resulted in the current observation of letters, words, or phrases; transmitting the alert to a management console; and dynamically updating the neuro-linguistic model based on the one or more subsequent normalized vectors from the ordered stream input to the neuro-linguistic model. | 1. A computer-implemented method for processing streams of information security data from one or more networked computer systems, the method comprising: receiving, by a machine learning engine executing on one or more computing systems, an ordered stream of normalized vectors corresponding to information security data obtained from one or more sensors monitoring a computer network; generating a neuro-linguistic model of the information security data by: clustering the ordered stream of vectors and assigning a letter to each cluster, outputting an ordered sequence of letters based on a mapping of the ordered stream of normalized vectors to the clusters, building a dictionary of words from of the ordered output of letters, outputting an ordered stream of words based on the ordered output of letters, and generating a plurality of phrases based on the ordered output of words; evaluating a current observation of letters, words, or phrases generated from one or more subsequent normalized vectors received from the ordered stream input to the neuro-linguistic model to determine a measure of unusualness for the current observation of letters, words, or phrases; generating an alert when the measure of unusualness determined for the current observation of letters, words, or phrases exceeds a specified threshold, wherein the alert corresponds to activity occurring within the computer network which resulted in the current observation of letters, words, or phrases; transmitting the alert to a management console; and dynamically updating the neuro-linguistic model based on the one or more subsequent normalized vectors from the ordered stream input to the neuro-linguistic model. 3. The method of claim 1 , wherein each value of the information security data associated with the normalized vectors is normalized to a value within a range of 0 to 1, inclusive. | 0.857937 |
10,114,894 | 10 | 11 | 10. A computer program product for online searching, the computer program product comprising one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices, the stored program instructions comprising: program instructions to monitor for user activity occurring at an application other than a search application, wherein the monitoring occurs because of a permission to monitor by the user, the permission being configured by the user in a user profile associated with the user, wherein the search application is used for online searching; program instructions to detect, responsive to the monitoring, the user activity at the application; program instructions to collect data of the user activity from the application responsive to the detecting; program instructions to analyze, using a processor and a memory, the data of the user activity, the user activity occurring at the application; program instructions to identify, responsive to the analyzing, a topic of interest of the user; program instructions to detect a search term input at the search application; program instructions to identify a subject of the search term; program instructions to modify the search term using a modifier, wherein the modifier is a term related to the topic of interest, and wherein the online searching occurs responsive to the modified search term; program instructions to further modify the search term to use a mandatory term, wherein the mandatory term must appear in a preview of each result in a result set, the result set being responsive to the online searching using the modified search term, wherein the mandatory term is selected by the user from a list of mandatory terms; program instructions to receive a result set responsive to the online searching using the modified search term; program instructions to determine whether a preview of a result in the result set includes a portion corresponding to one of (i) the topic of interest, (ii) the modifier, and (iii) a term stored in a modifier repository in association with the modifier; program instructions to highlight the portion; and program instructions to highlight in each result in the result set, the mandatory term, wherein the mandatory term is highlighted differently than the portion. | 10. A computer program product for online searching, the computer program product comprising one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices, the stored program instructions comprising: program instructions to monitor for user activity occurring at an application other than a search application, wherein the monitoring occurs because of a permission to monitor by the user, the permission being configured by the user in a user profile associated with the user, wherein the search application is used for online searching; program instructions to detect, responsive to the monitoring, the user activity at the application; program instructions to collect data of the user activity from the application responsive to the detecting; program instructions to analyze, using a processor and a memory, the data of the user activity, the user activity occurring at the application; program instructions to identify, responsive to the analyzing, a topic of interest of the user; program instructions to detect a search term input at the search application; program instructions to identify a subject of the search term; program instructions to modify the search term using a modifier, wherein the modifier is a term related to the topic of interest, and wherein the online searching occurs responsive to the modified search term; program instructions to further modify the search term to use a mandatory term, wherein the mandatory term must appear in a preview of each result in a result set, the result set being responsive to the online searching using the modified search term, wherein the mandatory term is selected by the user from a list of mandatory terms; program instructions to receive a result set responsive to the online searching using the modified search term; program instructions to determine whether a preview of a result in the result set includes a portion corresponding to one of (i) the topic of interest, (ii) the modifier, and (iii) a term stored in a modifier repository in association with the modifier; program instructions to highlight the portion; and program instructions to highlight in each result in the result set, the mandatory term, wherein the mandatory term is highlighted differently than the portion. 11. The computer program product of claim 10 , further comprising: program instructions to cause the search application to transmit the modified search term to a search engine, wherein the search engine executes on a server data processing system, and wherein the search application executes using the processor and the memory at a client data processing system. | 0.5 |
7,574,659 | 34 | 40 | 34. A search engine apparatus, comprising: a first database containing records relating to a content of a plurality of information resources; a second database of records relating to commercial messages; a memory storing: a persistent identifier and instructions for execution by an automated processor system; the automated processor system, configured to execute the instructions causing the automated processor system to: receive a search query and automatically define in dependence thereon a query of said first database to retrieve hyperlinked identifiers of records of said first database corresponding to said search query, and a selection of records from said second database to define hyperlinked identifiers of records of said second database relating to commercial messages associated with at least one of said search query and said persistent identifier, automatically organize said identifiers of records from said first database together with said identifiers of records from said second database in a common output, in further dependence on said persistent identifier, define a hierarchy from the hyperlinked identifiers of records of said first database corresponding to said search query according to content of or linkage among the hyperlinked identifiers of records of said first database, insert the hyperlinked identifiers of records of said second database relating to commercial messages associated with at least one of said search query and said persistent identifier into the hierarchy according to content of or linkage between the hyperlinked identifiers of records of said second database and the hyperlinked identifiers of records of said first database; and an accounting database, for recording accounting information for at least one of a presentation and a selection of an identifier of a record from said second database with respect to an account maintained by an entity relating to a corresponding commercial message. | 34. A search engine apparatus, comprising: a first database containing records relating to a content of a plurality of information resources; a second database of records relating to commercial messages; a memory storing: a persistent identifier and instructions for execution by an automated processor system; the automated processor system, configured to execute the instructions causing the automated processor system to: receive a search query and automatically define in dependence thereon a query of said first database to retrieve hyperlinked identifiers of records of said first database corresponding to said search query, and a selection of records from said second database to define hyperlinked identifiers of records of said second database relating to commercial messages associated with at least one of said search query and said persistent identifier, automatically organize said identifiers of records from said first database together with said identifiers of records from said second database in a common output, in further dependence on said persistent identifier, define a hierarchy from the hyperlinked identifiers of records of said first database corresponding to said search query according to content of or linkage among the hyperlinked identifiers of records of said first database, insert the hyperlinked identifiers of records of said second database relating to commercial messages associated with at least one of said search query and said persistent identifier into the hierarchy according to content of or linkage between the hyperlinked identifiers of records of said second database and the hyperlinked identifiers of records of said first database; and an accounting database, for recording accounting information for at least one of a presentation and a selection of an identifier of a record from said second database with respect to an account maintained by an entity relating to a corresponding commercial message. 40. The search engine apparatus according to claim 34 , wherein said first database is organized taxonomically, and wherein said identifiers of said second database are selectively inserted within a taxonomy generated by said output processor with records from said first database. | 0.85851 |
8,127,236 | 11 | 13 | 11. A programmable device comprising: a processing means; a memory in communication with the processing means comprising a subject matter expert identifier logic component, a subject matter expert locator logic component, a subject matter expert communication system logic component and a subject matter expert datastore logic component; and a network interface in communication with the processing means and the memory; wherein the processing means is configured to present a conduit within a graphic environment of a virtual universe; wherein the subject matter expert locator component is configured to receive a subject matter expert search term from an engagement of the conduit texture by an avatar of a virtual universe user, wherein the engagement indicates a query search term and is a physical contact of an object on the conduit texture that is tagged with a tag relevant to the query search term, the physical contact by the user avatar; wherein the subject matter expert locator component is configured to, in response to the engagement, automatically search a data storage means in communication with the network interface for a tag relevant to the search term, identify and locate a subject matter expert tagged with the relevant tag, and teleport one of the user avatar and the subject matter expert avatar to an other of the user avatar and the subject matter expert avatar; and wherein the subject matter expert communication system component is configured to enable the user to directly communicate via the user avatar with the located subject matter expert via a subject matter expert avatar through a conduit avatar communication medium entirely within an expected role context of the user avatar and the subject matter expert avatar within the virtual universe and without the user directly engaging a resource outside of the virtual universe and without requiring the user to engage in an interface outside of the virtual universe. | 11. A programmable device comprising: a processing means; a memory in communication with the processing means comprising a subject matter expert identifier logic component, a subject matter expert locator logic component, a subject matter expert communication system logic component and a subject matter expert datastore logic component; and a network interface in communication with the processing means and the memory; wherein the processing means is configured to present a conduit within a graphic environment of a virtual universe; wherein the subject matter expert locator component is configured to receive a subject matter expert search term from an engagement of the conduit texture by an avatar of a virtual universe user, wherein the engagement indicates a query search term and is a physical contact of an object on the conduit texture that is tagged with a tag relevant to the query search term, the physical contact by the user avatar; wherein the subject matter expert locator component is configured to, in response to the engagement, automatically search a data storage means in communication with the network interface for a tag relevant to the search term, identify and locate a subject matter expert tagged with the relevant tag, and teleport one of the user avatar and the subject matter expert avatar to an other of the user avatar and the subject matter expert avatar; and wherein the subject matter expert communication system component is configured to enable the user to directly communicate via the user avatar with the located subject matter expert via a subject matter expert avatar through a conduit avatar communication medium entirely within an expected role context of the user avatar and the subject matter expert avatar within the virtual universe and without the user directly engaging a resource outside of the virtual universe and without requiring the user to engage in an interface outside of the virtual universe. 13. The programmable device of claim 11 , wherein the processing means is configured to prompt the user to input subject matter expert search terms comprising the query search term in a text input field in response to the user avatar engagement of the conduit texture presented within the graphic environment of the virtual universe. | 0.708916 |
8,330,844 | 1 | 7 | 1. A non-transitory computer readable medium storing an application that when executed by at least one processor implements a graphical user interface (“GUI”), the GUI comprising: a first display area for displaying different groups of images imported in the application during different import sessions; a photo album tool comprising a second display area for associating different sets of images from the first display area with different digital photo albums and displaying each particular digital photo album as a user selectable item, wherein a selection of a selectable item corresponding to a particular digital photo album causes the first display area to only display a set of images associated with the particular digital photo album, wherein the first display area displays all the images imported in the application when no selectable item corresponding to a digital album is selected; an image set grouping tool that when selected causes the images in the first display area to be grouped into the different groups according to the different import sessions by displaying a group divider icon between each of two different groups of images; and a set of editing tools comprising a redeye removal tool for removing redeye from a particular image selected from the first display area. | 1. A non-transitory computer readable medium storing an application that when executed by at least one processor implements a graphical user interface (“GUI”), the GUI comprising: a first display area for displaying different groups of images imported in the application during different import sessions; a photo album tool comprising a second display area for associating different sets of images from the first display area with different digital photo albums and displaying each particular digital photo album as a user selectable item, wherein a selection of a selectable item corresponding to a particular digital photo album causes the first display area to only display a set of images associated with the particular digital photo album, wherein the first display area displays all the images imported in the application when no selectable item corresponding to a digital album is selected; an image set grouping tool that when selected causes the images in the first display area to be grouped into the different groups according to the different import sessions by displaying a group divider icon between each of two different groups of images; and a set of editing tools comprising a redeye removal tool for removing redeye from a particular image selected from the first display area. 7. The non-transitory computer readable medium of claim 1 , wherein images organized into a particular group of the different groups are the images imported in the application during one import session. | 0.839172 |
9,569,430 | 15 | 17 | 15. A computer program product for assigning work in a customer support environment, the computer program product comprising a computer readable storage device, and program instructions stored on the computer readable storage device, to: receive a customer communication in a first language; detect a shortage of agents having the first language as a primary language; translate, in response to the shortage of agents, the customer communication into a second language; calculate a translation score based on a confidence in the translation, the confidence in the translation being based on a technical content of the customer communication; obtain a set of agents, each agent in the set of agents being a person that has a language proficiency in at least one of the first language or the second language and has a language proficiency score associated with the language proficiency, the language proficiency score being based on a measure of an ability of each agent to communicate in the first language or the second language and a technical skill set of each agent associated with a technical area of the customer communication, and each of the first language and second language being natural languages; calculate, for each agent, an associated confidence factor by combining the language proficiency score for the agent and the translation score; generate a threshold confidence factor curve comprising a first curve, having a first rate of decrease over a first wait time period of the customer communication, and a second curve, having a second rate of decrease over a second, subsequent wait time of the customer communication, the second rate of decrease being greater than the first rate of decrease and the threshold confidence factor curve being based on a priority of the customer communication; and assign, at a time, the customer communication to one of the set of agents to respond to the customer communication in a selected language based on the associated confidence factor being greater than the threshold confidence factor curve at the time. | 15. A computer program product for assigning work in a customer support environment, the computer program product comprising a computer readable storage device, and program instructions stored on the computer readable storage device, to: receive a customer communication in a first language; detect a shortage of agents having the first language as a primary language; translate, in response to the shortage of agents, the customer communication into a second language; calculate a translation score based on a confidence in the translation, the confidence in the translation being based on a technical content of the customer communication; obtain a set of agents, each agent in the set of agents being a person that has a language proficiency in at least one of the first language or the second language and has a language proficiency score associated with the language proficiency, the language proficiency score being based on a measure of an ability of each agent to communicate in the first language or the second language and a technical skill set of each agent associated with a technical area of the customer communication, and each of the first language and second language being natural languages; calculate, for each agent, an associated confidence factor by combining the language proficiency score for the agent and the translation score; generate a threshold confidence factor curve comprising a first curve, having a first rate of decrease over a first wait time period of the customer communication, and a second curve, having a second rate of decrease over a second, subsequent wait time of the customer communication, the second rate of decrease being greater than the first rate of decrease and the threshold confidence factor curve being based on a priority of the customer communication; and assign, at a time, the customer communication to one of the set of agents to respond to the customer communication in a selected language based on the associated confidence factor being greater than the threshold confidence factor curve at the time. 17. The computer program product of claim 15 , the computer readable storage device further comprising program instructions to: determine, in response to the received customer communication, whether an agent having a required proficiency in the first language is available to service the customer communication; and place the customer communication in a queue in the case that none of the set of agents has an associated confidence factor greater than the predetermined threshold confidence factor. | 0.614551 |
9,747,510 | 11 | 12 | 11. The computer-implemented method of claim 10 , wherein the layout of the text content is modified by a display tool having a plurality of components including an orientation detection component, a language detection component, and a rotation component. | 11. The computer-implemented method of claim 10 , wherein the layout of the text content is modified by a display tool having a plurality of components including an orientation detection component, a language detection component, and a rotation component. 12. The computer-implemented method of claim 11 , wherein each of the characters is encoded in a universal character encoding scheme, wherein each of the first and second languages is determined by identifying the respective language from a content language field of a respective HyperText Transfer Protocol (HTTP) header. | 0.5 |
8,977,535 | 1 | 10 | 1. A method for transliterating an at least partially phonetic symbol-based writing system including symbols into a complex character-based writing system including characters, said method comprising: entering, with a human-to-machine interface, a string of symbols of said partially phonetic symbol-based writing system into a transliterating engine; parsing said string of symbols into a plurality of substrings, each substring forming an utterance unit corresponding to a character of said string of characters which corresponds to said string of symbols, and at least one substring of symbols including at least three symbols; transliterating said substrings into corresponding characters; displaying the corresponding characters; wherein said transliterating comprises matching, by database retrieval, each substring with one and only one character of the complex character-based writing system; and wherein, in said at least one substring of symbols including at least three symbols, which corresponds to one and only one character, at least one first symbol provides phonetic information, at least one second symbol provides information about a radical of said character and at least one third symbol provides information about the shape of the part of said character other than said radical. | 1. A method for transliterating an at least partially phonetic symbol-based writing system including symbols into a complex character-based writing system including characters, said method comprising: entering, with a human-to-machine interface, a string of symbols of said partially phonetic symbol-based writing system into a transliterating engine; parsing said string of symbols into a plurality of substrings, each substring forming an utterance unit corresponding to a character of said string of characters which corresponds to said string of symbols, and at least one substring of symbols including at least three symbols; transliterating said substrings into corresponding characters; displaying the corresponding characters; wherein said transliterating comprises matching, by database retrieval, each substring with one and only one character of the complex character-based writing system; and wherein, in said at least one substring of symbols including at least three symbols, which corresponds to one and only one character, at least one first symbol provides phonetic information, at least one second symbol provides information about a radical of said character and at least one third symbol provides information about the shape of the part of said character other than said radical. 10. The method of claim 1 , wherein said at least one second symbol, which provides information about a radical of said character, provides information about the shape or the meaning of said radical. | 0.793996 |
9,838,344 | 12 | 15 | 12. The network-based computer system of claim 11 , wherein the spam intelligence module detects email messages having substantially identical content to detect potential spam emails. | 12. The network-based computer system of claim 11 , wherein the spam intelligence module detects email messages having substantially identical content to detect potential spam emails. 15. The network-based computer system of claim 12 , wherein the spam intelligence module detects potential spam emails by determining if the email messages having substantially identical content exceed a predetermined number. | 0.53125 |
8,286,126 | 10 | 15 | 10. A system comprising: an application program stored on a computer readable medium having computer executable code thereon, said application program comprising: imperative code providing a set of instructions setting forth logic to provide operations occurring as a flow of the application program progresses; and declarative language associated with a selected portion of said imperative code, said declarative language associated with a predetermined state other than an initial state of said application program and allowing direct navigation to said predetermined state, wherein navigating to said predetermined state is permitted only if a condition precedent has been met. | 10. A system comprising: an application program stored on a computer readable medium having computer executable code thereon, said application program comprising: imperative code providing a set of instructions setting forth logic to provide operations occurring as a flow of the application program progresses; and declarative language associated with a selected portion of said imperative code, said declarative language associated with a predetermined state other than an initial state of said application program and allowing direct navigation to said predetermined state, wherein navigating to said predetermined state is permitted only if a condition precedent has been met. 15. The system of claim 10 wherein the condition precedent comprises accessing a database. | 0.828897 |
9,876,867 | 18 | 21 | 18. The method of claim 17 , wherein identifying the social information comprises identifying, from the pool of social networking sites used by the user, one or more social networking sites on which the friend is interconnected with the user. | 18. The method of claim 17 , wherein identifying the social information comprises identifying, from the pool of social networking sites used by the user, one or more social networking sites on which the friend is interconnected with the user. 21. The method of claim 18 , wherein identifying the social information comprises identifying social information that is (i) available to the friend and (ii) not accessed by the friend. | 0.5 |
7,949,667 | 1 | 2 | 1. An information processing apparatus for processing television content comprising: an acquisition section to acquire meta-data of the content; and a central processing unit, comprising a processor and memory, programmed to function as: a morphological analyzing section to perform a morphological analysis on text information included in the meta-data of the content; a layout recognition and extraction section to recognize a layout for each described content from a morphological analysis result obtained from the morphological analyzing section, to recognize a location within the layout of a performer field having a performer name or performer names therein, and to read inside information from inside the performer field and outside information from outside the performer field; an inside performer-field determination section to receive the inside information without the outside information and to extract a respective inside performer name or names therefrom; wherein the inside performer-field determination section includes a similarity-distance calculation section to calculate a similarity distance between information of the inside information and a number of list patterns of predetermined performer names, and an extraction section to extract the respective outside performer name therefrom which has a smallest similarity distance; an outside performer-field determination section to receive the outside information without the inside information and to extract a respective outside performer name or names therefrom, such that the outside performer-field determination section is operable to extract the respective outside performer name or names from a portion of the layout other than the performer field wherein the outside performer-field determination section includes a comparison section to compare information of the outside information with a number of list patterns of predetermined performer names; and a performer-name extraction result storage section to store the extracted performer names. | 1. An information processing apparatus for processing television content comprising: an acquisition section to acquire meta-data of the content; and a central processing unit, comprising a processor and memory, programmed to function as: a morphological analyzing section to perform a morphological analysis on text information included in the meta-data of the content; a layout recognition and extraction section to recognize a layout for each described content from a morphological analysis result obtained from the morphological analyzing section, to recognize a location within the layout of a performer field having a performer name or performer names therein, and to read inside information from inside the performer field and outside information from outside the performer field; an inside performer-field determination section to receive the inside information without the outside information and to extract a respective inside performer name or names therefrom; wherein the inside performer-field determination section includes a similarity-distance calculation section to calculate a similarity distance between information of the inside information and a number of list patterns of predetermined performer names, and an extraction section to extract the respective outside performer name therefrom which has a smallest similarity distance; an outside performer-field determination section to receive the outside information without the inside information and to extract a respective outside performer name or names therefrom, such that the outside performer-field determination section is operable to extract the respective outside performer name or names from a portion of the layout other than the performer field wherein the outside performer-field determination section includes a comparison section to compare information of the outside information with a number of list patterns of predetermined performer names; and a performer-name extraction result storage section to store the extracted performer names. 2. The information processing apparatus according to claim 1 , wherein the list pattern of predetermined performer names includes a list pattern of “performer name, symbol, performer name, symbol . . . ”, “performer name, symbol, role name, performer name . . . ”, “role name, symbol, performer name, symbol, role name . . . ”, or “performer name, performer name . . . ”. | 0.5 |
10,013,679 | 1 | 9 | 1. A method comprising: identifying, by a processor, first vehicle service data represents terms of a natural human language that match one or more taxonomy terms within a defined taxonomy searchable by the processor, wherein a first identifier uniquely identifies the first vehicle service data; associating, by the processor, a meaning with the first vehicle service data based on the terms of the natural human language represented by the first vehicle service data that match the one or more taxonomy terms; generating, by the processor, first metadata that represents the meaning associated with the first vehicle service data; generating vehicle service content based at least in part on the first metadata; generating, by the processor, second metadata that represents a meaning with at least a portion of second vehicle service data; aggregating, by the processor, at least the first metadata and the second metadata to produce aggregated metadata; associating, by the processor, the first identifier with the first metadata; receiving a request for the vehicle service content, wherein the request includes the first identifier and/or the first metadata, and in response to the request for the vehicle service content, sending the vehicle service content to be displayed by a service tool. | 1. A method comprising: identifying, by a processor, first vehicle service data represents terms of a natural human language that match one or more taxonomy terms within a defined taxonomy searchable by the processor, wherein a first identifier uniquely identifies the first vehicle service data; associating, by the processor, a meaning with the first vehicle service data based on the terms of the natural human language represented by the first vehicle service data that match the one or more taxonomy terms; generating, by the processor, first metadata that represents the meaning associated with the first vehicle service data; generating vehicle service content based at least in part on the first metadata; generating, by the processor, second metadata that represents a meaning with at least a portion of second vehicle service data; aggregating, by the processor, at least the first metadata and the second metadata to produce aggregated metadata; associating, by the processor, the first identifier with the first metadata; receiving a request for the vehicle service content, wherein the request includes the first identifier and/or the first metadata, and in response to the request for the vehicle service content, sending the vehicle service content to be displayed by a service tool. 9. The method of claim 1 , wherein the vehicle service content further includes at least one content item selected from the group consisting of (i) a symptom, (ii) a test performed, (iii) a part failure, or (iv) a labor operation. | 0.785847 |
9,639,509 | 11 | 12 | 11. The system of claim 10 , wherein the set of one or more networks excludes one or more networks providing automated requests for provision of the first document. | 11. The system of claim 10 , wherein the set of one or more networks excludes one or more networks providing automated requests for provision of the first document. 12. The system of claim 11 , wherein the update module excludes requests from the excluded one or more networks from updating the count of requests. | 0.5 |
7,970,616 | 3 | 4 | 3. The machine-implemented method of claim 2 , further comprising: receiving an indication of a desired level of compression, the indicated desired level of compression determining the plurality of words to be deleted and the plurality of words to be abbreviated. | 3. The machine-implemented method of claim 2 , further comprising: receiving an indication of a desired level of compression, the indicated desired level of compression determining the plurality of words to be deleted and the plurality of words to be abbreviated. 4. The machine-implemented method of claim 3 , wherein: when the desired level of compression is a first level of compression, the plurality of words to be deleted include articles, and when the desired level of compression is a second level of compression, the plurality of words to be deleted include the articles and adjectives. | 0.5 |
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