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1. A system for switching a headline, the system comprising: a processor; a database containing entry data; a display engine configured to generate a display including a current headline of a plurality of headlines and a headline image; an interface module configured to automatically index through the each headline of the plurality of headlines to vary the current headline according to a predetermined time period, the interface module including a headline control allowing a user to pause the current headline from indexing, wherein the current headline may be manipulated to enter into a user editable text mode; a search engine configured to query the database and generate a list of entries based on the current headline; wherein the display engine is configured to display the list for navigation by a user; and an aggregation module in communication with a plurality of vertical properties, and wherein the database, the display module, the interface module and the search engine form a vertical property of the plurality of vertical properties, the aggregation module being configured to provide search criteria to at least one other vertical property of the plurality of vertical properties based on the current headline, and aggregate search results returned from the at least one other vertical property, the aggregation module being configured to provide aggregated search results to the search engine, and the search engine being configured to generate the list based on the aggregated search results.
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1. A system for switching a headline, the system comprising: a processor; a database containing entry data; a display engine configured to generate a display including a current headline of a plurality of headlines and a headline image; an interface module configured to automatically index through the each headline of the plurality of headlines to vary the current headline according to a predetermined time period, the interface module including a headline control allowing a user to pause the current headline from indexing, wherein the current headline may be manipulated to enter into a user editable text mode; a search engine configured to query the database and generate a list of entries based on the current headline; wherein the display engine is configured to display the list for navigation by a user; and an aggregation module in communication with a plurality of vertical properties, and wherein the database, the display module, the interface module and the search engine form a vertical property of the plurality of vertical properties, the aggregation module being configured to provide search criteria to at least one other vertical property of the plurality of vertical properties based on the current headline, and aggregate search results returned from the at least one other vertical property, the aggregation module being configured to provide aggregated search results to the search engine, and the search engine being configured to generate the list based on the aggregated search results. 9. The system according to claim 1 , wherein the list includes the most relevant vertical property stories.
| 0.75 |
1. A system comprising: a memory; and a processor, coupled to the memory and to: capture a search query responsive to which at least one of one or more documents, applications, sound, or visual media are provided; determine, that a user has navigated the at least one of the one or more documents, applications, sound or visual media for at least a defined period of time, the defined period of time being defined based on at least one of (a) a length of the at least one of the one or more documents, applications, sound or visual media, (b) a word count of the at least one of the one or more documents, or (c) a fragmentation of the at least one of the one or more documents, applications, sound or visual media; monitor, in relation to the at least one of the one or more documents, applications, sound or visual media, and based on a determination that the user has navigated the at least one of the one or more documents, applications, sound or visual media for at least the defined period of time, one or more interaction events, the one or more interaction events comprising one or more user behaviors that demonstrate interest in the at least one of the one or more documents, applications, sound or visual media, each of the one or more interaction events having a respective weight that reflects a relative significance of the interaction event in relation to a relevance of the one or more documents, applications, sound or visual media to the search query; and provide a relevance measure for the at least one of the one or more documents, applications, sound or visual media based on a respective weight associated with the one or more interaction events.
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1. A system comprising: a memory; and a processor, coupled to the memory and to: capture a search query responsive to which at least one of one or more documents, applications, sound, or visual media are provided; determine, that a user has navigated the at least one of the one or more documents, applications, sound or visual media for at least a defined period of time, the defined period of time being defined based on at least one of (a) a length of the at least one of the one or more documents, applications, sound or visual media, (b) a word count of the at least one of the one or more documents, or (c) a fragmentation of the at least one of the one or more documents, applications, sound or visual media; monitor, in relation to the at least one of the one or more documents, applications, sound or visual media, and based on a determination that the user has navigated the at least one of the one or more documents, applications, sound or visual media for at least the defined period of time, one or more interaction events, the one or more interaction events comprising one or more user behaviors that demonstrate interest in the at least one of the one or more documents, applications, sound or visual media, each of the one or more interaction events having a respective weight that reflects a relative significance of the interaction event in relation to a relevance of the one or more documents, applications, sound or visual media to the search query; and provide a relevance measure for the at least one of the one or more documents, applications, sound or visual media based on a respective weight associated with the one or more interaction events. 16. The system of claim 1 , further comprising a display to display one or more search results.
| 0.62765 |
7. The method recited in claim 6 in which said step of transferring the basic text processing program as a logical copy includes transferring a plurality of programming modules, each of which has been assigned to only one of a plurality of data sets, and transferring a corresponding plurality of data set directories, each of which define the location on said destination diskette of the start of each transferred said module associated with said data set along with the length of said transferred module.
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7. The method recited in claim 6 in which said step of transferring the basic text processing program as a logical copy includes transferring a plurality of programming modules, each of which has been assigned to only one of a plurality of data sets, and transferring a corresponding plurality of data set directories, each of which define the location on said destination diskette of the start of each transferred said module associated with said data set along with the length of said transferred module. 8. The method recited in claim 7 in which each said transferred data set directory is recorded on said destination diskette immediately preceding said programming modules assigned to said data set.
| 0.880818 |
17. A reporting server comprising: a memory; and a processor in communication with the memory and operable to: normalize a variable of a first query running on a first database, wherein the first query is included in a query list in a second database; analyze the second database to find a second query in the query list, wherein the second query is found based upon the normalized first query; report the second query to a user, wherein the reporting is based upon the analyzing of the second database to find the second query; determine a first loading on a first database based upon a first frequency of occurrence of the second query and upon a first duration of the second query; analyze the second database to find a third query in the query list; and report the third query to the user, wherein the reporting is based upon the analyzing of the second database to find the third query; wherein a monitoring server includes a first database management system that is associated with the first database.
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17. A reporting server comprising: a memory; and a processor in communication with the memory and operable to: normalize a variable of a first query running on a first database, wherein the first query is included in a query list in a second database; analyze the second database to find a second query in the query list, wherein the second query is found based upon the normalized first query; report the second query to a user, wherein the reporting is based upon the analyzing of the second database to find the second query; determine a first loading on a first database based upon a first frequency of occurrence of the second query and upon a first duration of the second query; analyze the second database to find a third query in the query list; and report the third query to the user, wherein the reporting is based upon the analyzing of the second database to find the third query; wherein a monitoring server includes a first database management system that is associated with the first database. 18. The reporting server of claim 17 , wherein the processor is further operable to: rank the second and third queries based upon the first loading on the first database of the first query as compared to a second loading on the first database of the second query; wherein reporting the second and third queries are in response to the ranking.
| 0.530196 |
1. A method for facilitating mediated communication between users of communication devices, the method comprising: receiving a request for voice-based communication from a first communication device of a calling party, wherein the request for voice-based communication requests commencement of a telephone call between the first communication device of the calling party and a second communication device of a called party; in response to receiving the request for voice-based communication, automatically determining whether the first communication device of the calling party supports communication via a text messaging protocol; in response to determining that the first communication device supports communication via the text messaging protocol, causing a response option to be displayed on a display of the second communication device of the called party, for selection by the called party, wherein the response option allows the called party to request transition from voice-based communication to text-based communication; and in response to selection by the called party of the response option requesting transition from voice-based communication to text-based communication, transmitting a text-based response to the first communication device of the calling party via the text messaging protocol.
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1. A method for facilitating mediated communication between users of communication devices, the method comprising: receiving a request for voice-based communication from a first communication device of a calling party, wherein the request for voice-based communication requests commencement of a telephone call between the first communication device of the calling party and a second communication device of a called party; in response to receiving the request for voice-based communication, automatically determining whether the first communication device of the calling party supports communication via a text messaging protocol; in response to determining that the first communication device supports communication via the text messaging protocol, causing a response option to be displayed on a display of the second communication device of the called party, for selection by the called party, wherein the response option allows the called party to request transition from voice-based communication to text-based communication; and in response to selection by the called party of the response option requesting transition from voice-based communication to text-based communication, transmitting a text-based response to the first communication device of the calling party via the text messaging protocol. 6. The method of claim 1 , further comprising: receiving, at the mediation system, a mediation bypass notification from the second communication device; and facilitating presentation of a mediation bypass follow-through notification at the first communication device in response to receiving the mediation by-pass notification, wherein the mediation bypass follow-through notification informs the calling party that the called party may accept a subsequent telephone call from the calling party.
| 0.502681 |
13. In a polyaxial bone anchor, the improvement comprising: a) a receiver defining a chamber communicating with a channel, the channel sized and shaped for receiving a portion of a longitudinal connecting member, the chamber having an inner surface further comprising an aperture defined by a first surface formed therein and a second seating surface located near a bottom opening of the receiver, the chamber communicating with the bottom opening; b) a shank having a body and a curved upper portion, the shank body extending through the receiver bottom opening; and c) a resilient open retainer located in the chamber, the retainer having a base and an upper structure having a resilient outwardly extending tab having a top surface that is located on the top of the retainer, the retainer having two positions, a shank loading position and a shank restraining position, while in the shank loading position, the base being expandable in the chamber about the shank upper portion and receiving the shank upper portion therethrough to capture the shank upper portion in the chamber, the tab engaging the first surface of the aperture, and in the shank restraining position, the shank and retainer in combination are lowered in the chamber such that the retainer base is seated on the receiver second seating surface, and the tab expands outwardly through the aperture with the retainer being restrained by the first surface with respect to upward, downward, and rotational movement with respect to the receiver by the tab, the shank being able to be manipulated in a polyaxial direction with respect to the receiver when the retainer is in either the shank loading or shank restraining positions.
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13. In a polyaxial bone anchor, the improvement comprising: a) a receiver defining a chamber communicating with a channel, the channel sized and shaped for receiving a portion of a longitudinal connecting member, the chamber having an inner surface further comprising an aperture defined by a first surface formed therein and a second seating surface located near a bottom opening of the receiver, the chamber communicating with the bottom opening; b) a shank having a body and a curved upper portion, the shank body extending through the receiver bottom opening; and c) a resilient open retainer located in the chamber, the retainer having a base and an upper structure having a resilient outwardly extending tab having a top surface that is located on the top of the retainer, the retainer having two positions, a shank loading position and a shank restraining position, while in the shank loading position, the base being expandable in the chamber about the shank upper portion and receiving the shank upper portion therethrough to capture the shank upper portion in the chamber, the tab engaging the first surface of the aperture, and in the shank restraining position, the shank and retainer in combination are lowered in the chamber such that the retainer base is seated on the receiver second seating surface, and the tab expands outwardly through the aperture with the retainer being restrained by the first surface with respect to upward, downward, and rotational movement with respect to the receiver by the tab, the shank being able to be manipulated in a polyaxial direction with respect to the receiver when the retainer is in either the shank loading or shank restraining positions. 14. The improvement of claim 13 wherein the aperture in the receiver first surface is a pair of opposed apertures and the retainer tab is a pair of opposed resilient tabs, each one of the tabs being received in one of the apertures.
| 0.51505 |
15. The digital music library builder of claim 1 wherein the meta-data generator tracks a number of repetitions of a song that is received repeatedly by the receiver.
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15. The digital music library builder of claim 1 wherein the meta-data generator tracks a number of repetitions of a song that is received repeatedly by the receiver. 16. The digital music library builder of claim 15 further comprising a digital rights manager for restricting access to the song, based on the tracked number of repetitions of the song.
| 0.883542 |
23. A method in a content management system for deconstructing multimedia content, comprising: retrieving from a first plurality of records one or more records each comprising multimedia content; obtaining contextual information; determining a rhetorical purpose for the multimedia content of each record by comparing the content with the contextual information; identifying rhetorical and structural libraries associated with each determined rhetorical purpose; identifying similarities between the rhetorical and structural libraries and the multimedia content in each record; parsing the multimedia content of each record into one or more rhetorical and structural elements according to the similarities identified; and storing the one or more rhetorical elements of each record in a second plurality of records with functional attributes for association to the rhetorical and structural libraries.
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23. A method in a content management system for deconstructing multimedia content, comprising: retrieving from a first plurality of records one or more records each comprising multimedia content; obtaining contextual information; determining a rhetorical purpose for the multimedia content of each record by comparing the content with the contextual information; identifying rhetorical and structural libraries associated with each determined rhetorical purpose; identifying similarities between the rhetorical and structural libraries and the multimedia content in each record; parsing the multimedia content of each record into one or more rhetorical and structural elements according to the similarities identified; and storing the one or more rhetorical elements of each record in a second plurality of records with functional attributes for association to the rhetorical and structural libraries. 27. The method of claim 23 , comprising: receiving from a draftsperson modifications to a portion of the one or more rhetorical elements stored in the second plurality of records; learning from the modifications made by the draftsperson; and adjusting one or more of the steps of retrieving, identifying the purpose, identifying the rhetorical and structural libraries, identifying the similarities, parsing the multimedia content, and storing of the one or more rhetorical elements based on the learning from the modifications.
| 0.556865 |
3. The method of claim 2 wherein the phonetic index comprises synchronization information sufficient to align the phonemes in the sequence of phonemes with corresponding basic units of speech in the speech content of the audio segment.
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3. The method of claim 2 wherein the phonetic index comprises synchronization information sufficient to align the phonemes in the sequence of phonemes with corresponding basic units of speech in the speech content of the audio segment. 4. The method of claim 3 wherein the synchronization information is a time reference that aligns the phonemes of the sequence of phonemes in time with the corresponding units of speech in the speech content of the audio segment.
| 0.87861 |
11. One or more devices comprising: one or more memories to store instructions; and one or more processors to execute the instructions to: generate a measure indicating a probability that links associated with particular feature data will be selected, the particular feature data identifying one or more link features associated with the links, wherein when generating the measure, the one or more of the processors are to: identify link selection data for a plurality of documents collectively having corresponding links, of the links associated with the particular feature data, wherein each of the plurality of documents each has a corresponding link of the corresponding links, wherein the corresponding links collectively link to a plurality of target documents and each of the corresponding links is to a corresponding one of the plurality of target documents, the link selection data indicating: a quantity of selections of the corresponding links of the plurality of documents, the selections each being based on a respective one of a plurality of user devices accessing a respective one of the documents and selecting the corresponding link of the respective one of the documents of the plurality of documents, and generating, based on the link selection data, the measure indicating the probability that links associated with the particular feature data will be selected; after generating the measure: generate a rank for a particular document, wherein when generating the rank, the one or more of the processors are to: determine that a particular link to the particular document is associated with the particular feature data, determine a weight of the particular link based on the measure, wherein determining the weight based on the measure is based on determining that the particular link is associated with the particular feature data, and generate the rank for the particular document based on the weight for the particular link, and based on additional weights for additional links to the particular document; identify documents associated with a search query, the documents, associated with the search query, including the particular document; and provide information associated with the particular document based on: the search query, and the generated rank for the particular document.
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11. One or more devices comprising: one or more memories to store instructions; and one or more processors to execute the instructions to: generate a measure indicating a probability that links associated with particular feature data will be selected, the particular feature data identifying one or more link features associated with the links, wherein when generating the measure, the one or more of the processors are to: identify link selection data for a plurality of documents collectively having corresponding links, of the links associated with the particular feature data, wherein each of the plurality of documents each has a corresponding link of the corresponding links, wherein the corresponding links collectively link to a plurality of target documents and each of the corresponding links is to a corresponding one of the plurality of target documents, the link selection data indicating: a quantity of selections of the corresponding links of the plurality of documents, the selections each being based on a respective one of a plurality of user devices accessing a respective one of the documents and selecting the corresponding link of the respective one of the documents of the plurality of documents, and generating, based on the link selection data, the measure indicating the probability that links associated with the particular feature data will be selected; after generating the measure: generate a rank for a particular document, wherein when generating the rank, the one or more of the processors are to: determine that a particular link to the particular document is associated with the particular feature data, determine a weight of the particular link based on the measure, wherein determining the weight based on the measure is based on determining that the particular link is associated with the particular feature data, and generate the rank for the particular document based on the weight for the particular link, and based on additional weights for additional links to the particular document; identify documents associated with a search query, the documents, associated with the search query, including the particular document; and provide information associated with the particular document based on: the search query, and the generated rank for the particular document. 16. The one or more devices of claim 11 , wherein the one or more link features identify at least one of: context relating to one or more words before or after the links; words in anchor text associated with the links; and a quantity of the words in the anchor text.
| 0.591353 |
17. The log record analyzing system of claim 16 , further comprising a search module, wherein said search module is configured to search said at least one indexed resultant log record according to at least one search definition, said search module being configured to output a matching list consisting of at least one of said resultant log records.
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17. The log record analyzing system of claim 16 , further comprising a search module, wherein said search module is configured to search said at least one indexed resultant log record according to at least one search definition, said search module being configured to output a matching list consisting of at least one of said resultant log records. 18. The log record analyzing system of claim 17 , further comprising a user interface, said user interface facilitating the input of said at least one search definition.
| 0.945665 |
1. A method for imaging device display element localization, said method comprising: receiving, at an imaging device (IDev), menu content for display on an IDev display on said IDev, wherein said menu content is received from a localization application on a remote computing device (RCD) that is remote to said IDev and wherein said menu content comprises prompts to induce user input of data identifying locale-independent content; displaying said menu content on said IDev display; receiving user input, at said IDev, said user input comprising a locale-independent content identifier; sending an HTTP request, comprising geographical locale information and said locale-independent content identifier from said IDev to said localization application, wherein said geographical locale information identifies the geographical locale of said IDev and wherein said geographical locale information is embedded in the header of said HTTP request and said locale-independent content identifier is a user interface page in said HTTP request; receiving said HTTP request from said IDev at said localization application; extracting said geographical locale information from said HTTP request to identify a geographical locale; retrieving geographical locale-specific data related to said geographical locale, wherein said geographical locale-specific data consists of a language, a time format, a date format, a calendar format, an address format, a currency type and a geographical-locale-related cultural custom; retrieving locale-independent content identified by said locale-independent content identifier; merging said geographical locale-specific data with said locale-independent content to form localized content, wherein said merging comprises merging locale-specific text and resources in the form of a dynamic link library (DLL) identified by said geographical locale information with said locale-independent content defined in said user interface page and wherein said merging is performed at said RCD by said localization application; sending said localized content from said localization application to said IDev; and outputting said localized content at said IDev.
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1. A method for imaging device display element localization, said method comprising: receiving, at an imaging device (IDev), menu content for display on an IDev display on said IDev, wherein said menu content is received from a localization application on a remote computing device (RCD) that is remote to said IDev and wherein said menu content comprises prompts to induce user input of data identifying locale-independent content; displaying said menu content on said IDev display; receiving user input, at said IDev, said user input comprising a locale-independent content identifier; sending an HTTP request, comprising geographical locale information and said locale-independent content identifier from said IDev to said localization application, wherein said geographical locale information identifies the geographical locale of said IDev and wherein said geographical locale information is embedded in the header of said HTTP request and said locale-independent content identifier is a user interface page in said HTTP request; receiving said HTTP request from said IDev at said localization application; extracting said geographical locale information from said HTTP request to identify a geographical locale; retrieving geographical locale-specific data related to said geographical locale, wherein said geographical locale-specific data consists of a language, a time format, a date format, a calendar format, an address format, a currency type and a geographical-locale-related cultural custom; retrieving locale-independent content identified by said locale-independent content identifier; merging said geographical locale-specific data with said locale-independent content to form localized content, wherein said merging comprises merging locale-specific text and resources in the form of a dynamic link library (DLL) identified by said geographical locale information with said locale-independent content defined in said user interface page and wherein said merging is performed at said RCD by said localization application; sending said localized content from said localization application to said IDev; and outputting said localized content at said IDev. 5. A method as described in claim 1 wherein said localization application comprises a Web Service Method.
| 0.66226 |
8. A method of speech recognition comprising: receiving at a first input, a raw microphone signal having a user voice signal based on user speech during a period of time and an echo signal based on sound produced by a speaker during the period of time; receiving at a second input, a plurality of types of echo information signals during the period of time, each type of echo information signal including information derived by an echo cancellation system from the echo signal; and recognizing speech at a trained speech recognition processor, based on the raw microphone signal and the plurality of types of echo information signals, wherein the processor was trained at least by inputting a plurality of different samples of raw microphone signals and a plurality of different samples of each of a plurality of the types of echo information signals.
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8. A method of speech recognition comprising: receiving at a first input, a raw microphone signal having a user voice signal based on user speech during a period of time and an echo signal based on sound produced by a speaker during the period of time; receiving at a second input, a plurality of types of echo information signals during the period of time, each type of echo information signal including information derived by an echo cancellation system from the echo signal; and recognizing speech at a trained speech recognition processor, based on the raw microphone signal and the plurality of types of echo information signals, wherein the processor was trained at least by inputting a plurality of different samples of raw microphone signals and a plurality of different samples of each of a plurality of the types of echo information signals. 14. The method of claim 8 , further comprising: a noise suppressor producing different types of ambient noise suppression signals from the raw microphone signal, wherein the plurality of types of echo information signals include the different types of ambient noise suppression signals.
| 0.648858 |
1. A computer-implemented method for reporting a performance score for a Web page, comprising computer-implemented operations of: sending, by a Web browser tool on a first computing system a request to a second computing system to load data from the Web page, such that the first computing system causes the second computing system to respond by sending the data to load the Web page in the Web browser tool of the first computing system; heuristically calculating a performance sub-score for each of a plurality of Web page performance metrics; combining said performance sub-scores to produce at least one interpretable Web page performance score; and compiling and outputting a report of the at least one interpretable Web page performance score.
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1. A computer-implemented method for reporting a performance score for a Web page, comprising computer-implemented operations of: sending, by a Web browser tool on a first computing system a request to a second computing system to load data from the Web page, such that the first computing system causes the second computing system to respond by sending the data to load the Web page in the Web browser tool of the first computing system; heuristically calculating a performance sub-score for each of a plurality of Web page performance metrics; combining said performance sub-scores to produce at least one interpretable Web page performance score; and compiling and outputting a report of the at least one interpretable Web page performance score. 15. The method according to claim 1 , further comprising entering a modem compression factor.
| 0.556683 |
2. The method of claim 1 , wherein a parameter of the transition point is set based at least in part on a gesture difficulty.
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2. The method of claim 1 , wherein a parameter of the transition point is set based at least in part on a gesture difficulty. 3. The method of claim 2 , wherein the rendering the chained animation is triggered in response to determining that the at least one parameter is satisfied.
| 0.933531 |
1. A method comprising: receiving item category data by a computing device, wherein the item category data comprises a plurality of nodes and each node is associated with an item category of a plurality of item categories; receiving a plurality of queries by the computing device; for each query of the plurality of queries, providing an indicator of one or more items that are responsive to the query of a plurality of items by the computing device, wherein the plurality of items comprise at least one of products or services; for each query of the plurality of queries, receiving a selection of an item indicated by the provided indicator of one or more items by the computing device; receiving item data that associates an item category of the plurality of item categories with each item of the plurality of items by the computing device; based on the selected item for each query of the plurality of queries and the item category associated with each item, generating training data by the computing device, wherein the training data comprises a mapping of queries to item categories; for each query and item category in the mapping, determining a count of the number of times that the item category is associated with the query in the mapping by the computing device; combining the training data and item category data by, for each determined count for each item category, associating the determined count with the node of the plurality of nodes associated with the item category by the computing device; receiving another query by the computing device; receiving a classifier by the computing device, wherein the classifier, when applied to a node of the plurality of nodes using the received query by the computing device, results in a generated probability that the received query is intended for the item category associated with the node; applying the classifier to the plurality of nodes using the received query by the computing device until a generated probability for a node is below a threshold probability resulting in a list of item categories and a generated probability for each item category; ranking the item categories in the list of item categories based on the generated probabilities by the computing device; and providing the item categories in a ranked order by the computing device through a network.
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1. A method comprising: receiving item category data by a computing device, wherein the item category data comprises a plurality of nodes and each node is associated with an item category of a plurality of item categories; receiving a plurality of queries by the computing device; for each query of the plurality of queries, providing an indicator of one or more items that are responsive to the query of a plurality of items by the computing device, wherein the plurality of items comprise at least one of products or services; for each query of the plurality of queries, receiving a selection of an item indicated by the provided indicator of one or more items by the computing device; receiving item data that associates an item category of the plurality of item categories with each item of the plurality of items by the computing device; based on the selected item for each query of the plurality of queries and the item category associated with each item, generating training data by the computing device, wherein the training data comprises a mapping of queries to item categories; for each query and item category in the mapping, determining a count of the number of times that the item category is associated with the query in the mapping by the computing device; combining the training data and item category data by, for each determined count for each item category, associating the determined count with the node of the plurality of nodes associated with the item category by the computing device; receiving another query by the computing device; receiving a classifier by the computing device, wherein the classifier, when applied to a node of the plurality of nodes using the received query by the computing device, results in a generated probability that the received query is intended for the item category associated with the node; applying the classifier to the plurality of nodes using the received query by the computing device until a generated probability for a node is below a threshold probability resulting in a list of item categories and a generated probability for each item category; ranking the item categories in the list of item categories based on the generated probabilities by the computing device; and providing the item categories in a ranked order by the computing device through a network. 5. The method of claim 1 , wherein the classifier is a Bayesian classifier.
| 0.561532 |
1. A method in a computer system for determining an operand for an operator during data entry of the nodes of an intentional program tree, the method comprising: receiving a sequence of tokens, each token indicating a computational construct corresponding to a node of the intentional program tree; when receiving an indication of a selection of a subtree of the intentional program tree, selecting the indicated subtree; and when receiving an indication of a next token to be appended to the sequence of tokens, when a subtree is currently selected, identifying the selected subtree as an operand of the operator represented by the next token; when a subtree is not currently selected, identifying according to predefined rules of operator precedence an operand of the operator represented by the next token; and adding a node to the intentional program tree indicating the operator represented by the next token and indicating the identified operand whereby predefined rules of operator precedence may be overridden by selection of a subtree.
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1. A method in a computer system for determining an operand for an operator during data entry of the nodes of an intentional program tree, the method comprising: receiving a sequence of tokens, each token indicating a computational construct corresponding to a node of the intentional program tree; when receiving an indication of a selection of a subtree of the intentional program tree, selecting the indicated subtree; and when receiving an indication of a next token to be appended to the sequence of tokens, when a subtree is currently selected, identifying the selected subtree as an operand of the operator represented by the next token; when a subtree is not currently selected, identifying according to predefined rules of operator precedence an operand of the operator represented by the next token; and adding a node to the intentional program tree indicating the operator represented by the next token and indicating the identified operand whereby predefined rules of operator precedence may be overridden by selection of a subtree. 4. The method of claim 1 wherein when the selected subtree is an expression, displaying parenthesis around the expression.
| 0.50547 |
19. The medium of claim 15 , wherein determining the respective levels of popularity comprises determining respective levels of user activity associated with the plurality of search results.
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19. The medium of claim 15 , wherein determining the respective levels of popularity comprises determining respective levels of user activity associated with the plurality of search results. 20. The medium of claim 19 , wherein determining respective levels of user activity comprises determining a respective number of users associated with the plurality of search results; and ranking the plurality of search results according to the respective number of users.
| 0.913685 |
16. The computer-implemented method of claim 15 further comprising: identifying several user applications based on the disambiguated terms; and rendering the results in a manner that indicates which one of the several user applications will be launched in response to selection of a given result.
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16. The computer-implemented method of claim 15 further comprising: identifying several user applications based on the disambiguated terms; and rendering the results in a manner that indicates which one of the several user applications will be launched in response to selection of a given result. 17. The computer-implemented method of claim 16 , wherein exchanging the at least one of the ambiguous characters with the host includes: transmitting updates to the host upon receiving the subsequently received numbers, the transmitting occurring after detecting that user inactivity in entering the sequence of numbers exceeds a predetermined period of time.
| 0.905121 |
4. The method of claim 3 further including the steps of: coding each of said remaining characters as a single 4-bit unit or as two 4-bit units depending on the location of the character in a table of characters.
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4. The method of claim 3 further including the steps of: coding each of said remaining characters as a single 4-bit unit or as two 4-bit units depending on the location of the character in a table of characters. 5. The method of claim 4 further including the steps of: determining which character, if any, preceded the character being coded, and selecting a different table of characters depending on the value of the preceding character.
| 0.955939 |
10. A computer-implemented system, comprising a processor coupled to a memory for managing row height in an electronic document, the system comprising: a document model that defines a document having a plurality of rows of data, wherein the document comprises a spreadsheet made up of cells; a row height measurement module that includes a document renderer for rendering portions of the data in individual rows of the document; a row height determination module to identify a row height for the portions by rendering content of selected cells in a hidden frame element and determining offset heights of the content of selected cells; and a row height cache arranged to store values of determined row heights for the individual rows in the document, for use in rendering portions of the document to a browser-based application, wherein the rendering portions of the document comprises spreadsheet cells with content and is separate from the hidden frame element comprising content.
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10. A computer-implemented system, comprising a processor coupled to a memory for managing row height in an electronic document, the system comprising: a document model that defines a document having a plurality of rows of data, wherein the document comprises a spreadsheet made up of cells; a row height measurement module that includes a document renderer for rendering portions of the data in individual rows of the document; a row height determination module to identify a row height for the portions by rendering content of selected cells in a hidden frame element and determining offset heights of the content of selected cells; and a row height cache arranged to store values of determined row heights for the individual rows in the document, for use in rendering portions of the document to a browser-based application, wherein the rendering portions of the document comprises spreadsheet cells with content and is separate from the hidden frame element comprising content. 15. The computer-implemented system of claim 10 , wherein the system is further programmed to determine that changes have been made in the document, identify one or more rows whose height could be affected by the changes, and mark the one or more rows in the cache as dirty, without immediately making a new determination of the heights of the one or more rows in the cache identified as dirty.
| 0.5 |
9. A system comprising: one or more processors; and one or more computer readable storage media including instructions configured to cause the one or more processors to perform operations including: displaying a user interface on a display; while displaying the user interface on the display, detecting an input on an input device, wherein the input includes a motion component and a pressure component; and in response to detecting the input: determining whether the pressure component of the input is above a pressure threshold; in accordance with a determination that the pressure component of the input is above the pressure threshold, performing a first operation in the user interface displayed on the display in accordance with the motion component of the input, wherein the first operation is scrolling content in the user interface at a variable scroll rate that increases and then decays over time, and performing the first operation in the user interface includes causing the user interface to rapidly scroll through content for an initial predetermined time interval and subsequently reduce a scroll rate over a second subsequent predetermined time interval gradually decaying the scroll rate to zero; and in accordance with a determination that pressure component of the input is below the pressure threshold, performing a second operation in the user interface displayed on the display in accordance with the motion component of the input, wherein the second operation is different from the first operation and is scrolling content in the user interface at a predetermined scroll rate.
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9. A system comprising: one or more processors; and one or more computer readable storage media including instructions configured to cause the one or more processors to perform operations including: displaying a user interface on a display; while displaying the user interface on the display, detecting an input on an input device, wherein the input includes a motion component and a pressure component; and in response to detecting the input: determining whether the pressure component of the input is above a pressure threshold; in accordance with a determination that the pressure component of the input is above the pressure threshold, performing a first operation in the user interface displayed on the display in accordance with the motion component of the input, wherein the first operation is scrolling content in the user interface at a variable scroll rate that increases and then decays over time, and performing the first operation in the user interface includes causing the user interface to rapidly scroll through content for an initial predetermined time interval and subsequently reduce a scroll rate over a second subsequent predetermined time interval gradually decaying the scroll rate to zero; and in accordance with a determination that pressure component of the input is below the pressure threshold, performing a second operation in the user interface displayed on the display in accordance with the motion component of the input, wherein the second operation is different from the first operation and is scrolling content in the user interface at a predetermined scroll rate. 10. The system of claim 9 , wherein the first operation is rapidly scrolling through the user interface and wherein the second operation is slowly scrolling through the user interface.
| 0.61658 |
4. The method according to claim 1 , further comprising a step, for each meaningful word of the text, of searching for synonyms ( 45 ) of that word and a definition of those synonyms by means of said at least one dictionary ( 35 ); and the merging step (S 400 ) is further effected as a function of the definitions of the synonyms.
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4. The method according to claim 1 , further comprising a step, for each meaningful word of the text, of searching for synonyms ( 45 ) of that word and a definition of those synonyms by means of said at least one dictionary ( 35 ); and the merging step (S 400 ) is further effected as a function of the definitions of the synonyms. 5. The method according to claim 4 , further comprising a step, before the merging step, of classifying the synonyms found for each meaningful word as a function of the definitions of that meaningful word and its synonyms; and wherein: the merging step is further effected as a function of a result of the classification of the synonyms.
| 0.785375 |
1. A user-interface method of incrementally providing fully qualified links to a set of relevant search engines, the method comprising: identifying a set of search engines and associating each search engine of the set with at least one descriptive category to which the subject matter of the corresponding search engine relates; providing a database containing a collection of potential full queries, each potential full query associated in said database with at least one descriptive category; receiving a partial search query entered on a keypad by a user; after each keypress received from the user, inferring a set of potential full queries intended by the user, based at least in part on the partial search query; selecting a subset of the identified search engines that are relevant to the inferred full queries based on comparing the inferred full queries with the descriptive categories associated with the search engines, wherein the selecting the subset of relevant search engines is further based on the descriptive categories associated with the provided potential full queries; and for each of the selected search engines, providing a fully qualified link designed to directly launch a search for a relevant query string using the search engine.
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1. A user-interface method of incrementally providing fully qualified links to a set of relevant search engines, the method comprising: identifying a set of search engines and associating each search engine of the set with at least one descriptive category to which the subject matter of the corresponding search engine relates; providing a database containing a collection of potential full queries, each potential full query associated in said database with at least one descriptive category; receiving a partial search query entered on a keypad by a user; after each keypress received from the user, inferring a set of potential full queries intended by the user, based at least in part on the partial search query; selecting a subset of the identified search engines that are relevant to the inferred full queries based on comparing the inferred full queries with the descriptive categories associated with the search engines, wherein the selecting the subset of relevant search engines is further based on the descriptive categories associated with the provided potential full queries; and for each of the selected search engines, providing a fully qualified link designed to directly launch a search for a relevant query string using the search engine. 5. The method of claim 1 further comprising learning user preferences by analyzing previous user input, and inferring the potential full queries according to said learned user preferences.
| 0.558844 |
1. A method performed by data processing apparatus, the method comprising: receiving a query in a source language, the query including one or more query terms; determining one or more target languages relevant to the query using one or more language scores associated with each of the one or more query terms, wherein determining one or more target languages relevant to the query includes: identifying terms related to the query for each related term, determining a language score for each of a plurality of languages; combining the language scores for each related term for each respective language of the plurality of languages; and determining one or more target languages relevant to the query, other than the source language, as corresponding to languages of the plurality of languages having a combined language score beyond a threshold score; translating the query into one or more translated queries in the respective one or more target languages; determining search results responsive to the respective one or more translated queries; and providing one or more of the search results.
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1. A method performed by data processing apparatus, the method comprising: receiving a query in a source language, the query including one or more query terms; determining one or more target languages relevant to the query using one or more language scores associated with each of the one or more query terms, wherein determining one or more target languages relevant to the query includes: identifying terms related to the query for each related term, determining a language score for each of a plurality of languages; combining the language scores for each related term for each respective language of the plurality of languages; and determining one or more target languages relevant to the query, other than the source language, as corresponding to languages of the plurality of languages having a combined language score beyond a threshold score; translating the query into one or more translated queries in the respective one or more target languages; determining search results responsive to the respective one or more translated queries; and providing one or more of the search results. 5. The method of claim 1 , wherein identifying a language score for each related term includes identifying the related term in a table that maps a plurality of terms to corresponding pre-computed language scores.
| 0.564433 |
15. A data processing system for extending Web services to include call flow interactions, comprising: a processor; and a memory coupled to the processor, wherein the memory contains instructions which, when executed by the processor, cause the processor to: receive a description language document that describes one or more Web services interface components; associate a Web services interface component within the one or more Web services interface components with one or more call flow segments; insert a call flow binding into the description language document to form an extended description language document, wherein the call flow binding associates an interaction operation with a binding point in a given call flow segment within the one or more call flow segments; and execute a converged application based on the extended description language document.
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15. A data processing system for extending Web services to include call flow interactions, comprising: a processor; and a memory coupled to the processor, wherein the memory contains instructions which, when executed by the processor, cause the processor to: receive a description language document that describes one or more Web services interface components; associate a Web services interface component within the one or more Web services interface components with one or more call flow segments; insert a call flow binding into the description language document to form an extended description language document, wherein the call flow binding associates an interaction operation with a binding point in a given call flow segment within the one or more call flow segments; and execute a converged application based on the extended description language document. 17. The data processing system of claim 15 , wherein the interaction operation is a notify operation, wherein the instructions further causes the processor to: responsive to reaching the binding point in the given call flow segment, send a notification to the Web services interface component.
| 0.584325 |
15. The system of claim 2 , wherein the inference component uses a statistical model that describes a pattern of evolution of a disease across a patient population and the relationship between a patient's disease and observed variables.
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15. The system of claim 2 , wherein the inference component uses a statistical model that describes a pattern of evolution of a disease across a patient population and the relationship between a patient's disease and observed variables. 16. The system of claim 15 , wherein the inference component draws a plurality of inferences, each with an assigned probability.
| 0.896914 |
2. The method of claim 1 , further comprising using one or more evaluation modules to evaluate whether the one or more strings of text include non-standard usage, and using the one or more evaluation modules to provide the one or more suggested alternative strings of text.
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2. The method of claim 1 , further comprising using one or more evaluation modules to evaluate whether the one or more strings of text include non-standard usage, and using the one or more evaluation modules to provide the one or more suggested alternative strings of text. 6. The method of claim 2 , wherein one of the evaluation modules performs the at least one search through the first and second sets of data stores and compares the one or more strings of text with a the data stores, and evaluates whether the one or more strings of text conform with standard usage in the data stores.
| 0.805171 |
30. A computer-readable non-transitory storage medium storing instructions for accessing data in a relational database, the computer-readable medium comprising instructions executable by one or more processors to perform steps of: establishing a mapping in which Uniform Resource Locators (URLs) point to data items that are stored in rows of one or more relational tables within the relational database, wherein the URLs include XPath expressions that identify at least the one or more relational tables and one or more columns, of the one or more relational tables, in which the data items corresponding to the URLs reside; and locating the data items within the relational database based on location data that is determined based on the Uniform Resource Locators and the mapping, wherein the step of locating includes: a database server receiving a URL that is mapped to a particular data item, wherein the URL includes an XPath expression that indicates a particular column, in a particular relational table, in which the particular data item resides; and converting the XPath expression into a Structured Query Language (SQL) statement that operates on data items from the particular column of the particular relational table.
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30. A computer-readable non-transitory storage medium storing instructions for accessing data in a relational database, the computer-readable medium comprising instructions executable by one or more processors to perform steps of: establishing a mapping in which Uniform Resource Locators (URLs) point to data items that are stored in rows of one or more relational tables within the relational database, wherein the URLs include XPath expressions that identify at least the one or more relational tables and one or more columns, of the one or more relational tables, in which the data items corresponding to the URLs reside; and locating the data items within the relational database based on location data that is determined based on the Uniform Resource Locators and the mapping, wherein the step of locating includes: a database server receiving a URL that is mapped to a particular data item, wherein the URL includes an XPath expression that indicates a particular column, in a particular relational table, in which the particular data item resides; and converting the XPath expression into a Structured Query Language (SQL) statement that operates on data items from the particular column of the particular relational table. 31. The computer-readable non-transitory storage medium of claim 30 , wherein the SQL statement operates only on data items from the particular column of the particular relational table.
| 0.547189 |
26. The server computer according to claim 23 , wherein the bi-directional communications network comprises an interactive network, and wherein the server computer and the one or more client computers include game consoles configured to execute an interactive game.
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26. The server computer according to claim 23 , wherein the bi-directional communications network comprises an interactive network, and wherein the server computer and the one or more client computers include game consoles configured to execute an interactive game. 27. The server computer according to claim 26 , wherein the content data output characteristics are associated with respective characters defined by the game, each one of the respective characters is associated with a particular client computer of the one or more client computers.
| 0.88206 |
14. The method of claim 11 , wherein the plurality of tag chains are specified by different types of users, wherein the metric is at least partly based on a particular type of user that specified the particular tag chain in the plurality of tag chains.
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14. The method of claim 11 , wherein the plurality of tag chains are specified by different types of users, wherein the metric is at least partly based on a particular type of user that specified the particular tag chain in the plurality of tag chains. 15. The method of claim 14 , wherein the different types of users includes at least one of a content provider, a content retriever, and a content evaluator.
| 0.893443 |
6. A context aware method comprising: extracting, from a semantic model, a terminological-box (T-box) comprising information that defines a relationship between classes; generating a reasoning rule based on the T-box; generating a first assertion box (A-box) based on sensing information, wherein the sensing information relates to information sensed to recognize a user state; and inferring a user context based on the reasoning rule and the first A-box.
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6. A context aware method comprising: extracting, from a semantic model, a terminological-box (T-box) comprising information that defines a relationship between classes; generating a reasoning rule based on the T-box; generating a first assertion box (A-box) based on sensing information, wherein the sensing information relates to information sensed to recognize a user state; and inferring a user context based on the reasoning rule and the first A-box. 10. The context aware method of claim 6 , wherein the first A-box corresponds to information that defines a relationship between an instance and a class.
| 0.637181 |
15. A computer readable storage memory storing a program of instructions executable by a machine to perform a method of deriving one or more process models from natural language use case models, the method comprising: creating an in-memory model of a use case from information in natural language text describing the use case, wherein the in-memory model comprises at least an actor node and one or more action nodes comprising an action initiated at least by the actor node, wherein the action of the one or more action nodes has a type comprising at least one of input, output, create, query, update, delete, direct, initiate, and access change, the method further comprising transforming the in-memory model into a process model in predetermined modeling notation, wherein the process model comprises at least a start node, an activity node, and a sub-process node, and the method further comprising generating a selected business process model using the process model; and guiding a user to create an in-memory model, generate the selected business process model, edit the natural language text, and edit the selected business process model and edit the in-memory model; and in response to detecting an addition of a gateway in the generated business process model, the method further comprising automatically transforming the addition into creation of an exception in the natural language text of the use case of the in-memory model, wherein in response to detecting a change in at least the process model, the method further comprising triggering a consistency check among the natural language text of the use case, the in-memory model, the end-to-end business process model, and the changed process model.
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15. A computer readable storage memory storing a program of instructions executable by a machine to perform a method of deriving one or more process models from natural language use case models, the method comprising: creating an in-memory model of a use case from information in natural language text describing the use case, wherein the in-memory model comprises at least an actor node and one or more action nodes comprising an action initiated at least by the actor node, wherein the action of the one or more action nodes has a type comprising at least one of input, output, create, query, update, delete, direct, initiate, and access change, the method further comprising transforming the in-memory model into a process model in predetermined modeling notation, wherein the process model comprises at least a start node, an activity node, and a sub-process node, and the method further comprising generating a selected business process model using the process model; and guiding a user to create an in-memory model, generate the selected business process model, edit the natural language text, and edit the selected business process model and edit the in-memory model; and in response to detecting an addition of a gateway in the generated business process model, the method further comprising automatically transforming the addition into creation of an exception in the natural language text of the use case of the in-memory model, wherein in response to detecting a change in at least the process model, the method further comprising triggering a consistency check among the natural language text of the use case, the in-memory model, the end-to-end business process model, and the changed process model. 20. The computer readable storage memory of claim 15 , further including: automatically retransforming the in-memory model of the use case to an updated process model in response to the in-memory model being changed.
| 0.589228 |
8. A test case generation system comprising: a processor; and a memory coupled to the processor, the memory having processor-readable instructions stored therein, which, when executed by the processor, cause the processor to perform a plurality of functions, including functions to: receive and interact with a test application, the test application including metadata corresponding to at least one functionality of the test application; retrieve metadata corresponding to a data entry form included in the test application; generate a test case to test the at least one functionality of the test application, based at least in part on the corresponding metadata; and store the test case in a first format and a second format different from the first format, the test case corresponding to a field of the data entry form.
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8. A test case generation system comprising: a processor; and a memory coupled to the processor, the memory having processor-readable instructions stored therein, which, when executed by the processor, cause the processor to perform a plurality of functions, including functions to: receive and interact with a test application, the test application including metadata corresponding to at least one functionality of the test application; retrieve metadata corresponding to a data entry form included in the test application; generate a test case to test the at least one functionality of the test application, based at least in part on the corresponding metadata; and store the test case in a first format and a second format different from the first format, the test case corresponding to a field of the data entry form. 9. The test case generation system of claim 8 , wherein the functions performed by the processor further include functions to convert the test case from the first format to the second format.
| 0.575508 |
1. A method for accelerated development of a mobile device specific webp age for at least one mobile computing device comprising: a) forming a plurality of data entry screen definitions for the mobile device specific webpage using an administrative processor and storing the plurality of data entry screen definitions in an administrative data storage; b) generating a list of mobile computing devices and specifications for displaying a created mobile device specific webpage and storing the list of mobile computing devices and specifications in the administrative data storage; c) identifying a specific mobile computing device for the mobile device specific webpage from the list of mobile computing devices and specifications; d) automatically generating a plurality of self-generating data entry screens for entering and storing predefined data for use on the mobile device specific webpage and storing the plurality of self-generating data entry screens in the administrative data storage; e) automatically generating hypertext for the mobile device specific webpage using the predefined data; f) bidirectionally controlling communication, data delivery and access permission, to and from one or more third party servers connected to a network to automatically collect, store and maintain data integrity of data processed for the one or more third party servers and maintain consistency of the predefined data collected from the one or more third party servers using the network, collecting the predefined data via the mobile device specific webpage from the one or more third party servers on the network, and updating the predefined data via the mobile device specific webpage to the one or more third party servers on the network simultaneously; g) simultaneously duplicating the predefined data to a hot spare environment and a cold spare environment while maintaining integrity of the predefined data preventing loss of the predefined data; h) enforcing a common stylistic look and feel for use on the mobile device specific webpage and maintaining consistency between additionally developed mobile device specific webpages for the specific mobile computing device using a plurality of common stylistic rules; i) merging the predefined data into a mobile device specific webpage document template automatically and generating the mobile device specific webpage for the specific mobile computing device while storing the generated mobile device specific webpage in the administrative data storage enabling a user or a non-administrative user to create the mobile device specific webpage filled with the predefined data with the plurality of self-generating data entry screen definitions using the plurality of common stylistic rules; and j) transmitting the generated mobile device specific webpage via the network for display on the specific mobile computing device.
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1. A method for accelerated development of a mobile device specific webp age for at least one mobile computing device comprising: a) forming a plurality of data entry screen definitions for the mobile device specific webpage using an administrative processor and storing the plurality of data entry screen definitions in an administrative data storage; b) generating a list of mobile computing devices and specifications for displaying a created mobile device specific webpage and storing the list of mobile computing devices and specifications in the administrative data storage; c) identifying a specific mobile computing device for the mobile device specific webpage from the list of mobile computing devices and specifications; d) automatically generating a plurality of self-generating data entry screens for entering and storing predefined data for use on the mobile device specific webpage and storing the plurality of self-generating data entry screens in the administrative data storage; e) automatically generating hypertext for the mobile device specific webpage using the predefined data; f) bidirectionally controlling communication, data delivery and access permission, to and from one or more third party servers connected to a network to automatically collect, store and maintain data integrity of data processed for the one or more third party servers and maintain consistency of the predefined data collected from the one or more third party servers using the network, collecting the predefined data via the mobile device specific webpage from the one or more third party servers on the network, and updating the predefined data via the mobile device specific webpage to the one or more third party servers on the network simultaneously; g) simultaneously duplicating the predefined data to a hot spare environment and a cold spare environment while maintaining integrity of the predefined data preventing loss of the predefined data; h) enforcing a common stylistic look and feel for use on the mobile device specific webpage and maintaining consistency between additionally developed mobile device specific webpages for the specific mobile computing device using a plurality of common stylistic rules; i) merging the predefined data into a mobile device specific webpage document template automatically and generating the mobile device specific webpage for the specific mobile computing device while storing the generated mobile device specific webpage in the administrative data storage enabling a user or a non-administrative user to create the mobile device specific webpage filled with the predefined data with the plurality of self-generating data entry screen definitions using the plurality of common stylistic rules; and j) transmitting the generated mobile device specific webpage via the network for display on the specific mobile computing device. 13. The method of claim 1 , comprising installing a dynamic information frame configured as a web window within a web window, wherein each web window contains different self-generated data entry screens.
| 0.616747 |
2. The computer-implemented method of claim 1 , further comprising identifying one or more alternate query suggestions based on the partial search query, wherein the one or more signals includes one or more characteristics of the one or more alternate query suggestions.
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2. The computer-implemented method of claim 1 , further comprising identifying one or more alternate query suggestions based on the partial search query, wherein the one or more signals includes one or more characteristics of the one or more alternate query suggestions. 5. The computer-implemented method of claim 2 , further comprising: selecting, from the identified one or more alternate query suggestions, a subset of alternate query suggestions based at least in part on the one or more signals; and providing the subset of selected alternate query suggestions.
| 0.809567 |
16. A computer-implemented method for altering a hierarchical structure of multiple model elements that constitute a computer program, the method comprising: of a computing system accessing the hierarchical structure of model elements; each element having an ancestral relationship status defined by the position of each model element in the hierarchical structure and parent-child associations of the each element and one or more other elements; the computing system determining that a first model element of the hierarchical structure is to be replaced, determining being at least in part behavior-based and based upon monitoring usage of the model elements; in response to the determination, an act of the computing system automatically replacing the first model element of with another model element that retains the same ancestral relationship status and position within the hierarchical structure and parent-child associations of the another model element is the same as the replaced first model element; and in response to replacing the first model element, automatically populating a property value of the another model element with an associated property value from the replaced first model element.
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16. A computer-implemented method for altering a hierarchical structure of multiple model elements that constitute a computer program, the method comprising: of a computing system accessing the hierarchical structure of model elements; each element having an ancestral relationship status defined by the position of each model element in the hierarchical structure and parent-child associations of the each element and one or more other elements; the computing system determining that a first model element of the hierarchical structure is to be replaced, determining being at least in part behavior-based and based upon monitoring usage of the model elements; in response to the determination, an act of the computing system automatically replacing the first model element of with another model element that retains the same ancestral relationship status and position within the hierarchical structure and parent-child associations of the another model element is the same as the replaced first model element; and in response to replacing the first model element, automatically populating a property value of the another model element with an associated property value from the replaced first model element. 18. The method in accordance with claim 16 , further comprising: displaying a hierarchical visualization of multiple model elements in the hierarchical structure of model elements in a viewer, the hierarchical visualization including a visualization for each of the multiple model elements, the multiple model elements including at least some the model elements in the hierarchical structure, wherein determining that the first model element is to be replaced comprises an act of detecting that a user has interfaced with the viewer with one or more gestures indicative of a user intent to perform the replace.
| 0.5 |
2. A memory management unit as recited in claim 1, wherein said translator comprises: a domain classifier coupled to receive said virtual address signal for generating said domain number signal in response to a portion of the virtual address signal and issuing a domain fault indication if there is no domain number associated with said virtual address signal; an address translator coupled to receive said virtual address signal for translating said virtual signal into said physical address signal if a corresponding physical address exists, but issuing a translation fault indication if there is no physical address corresponding to said virtual address signal; and a permission translator for receiving said virtual address signal and said access type signal and translating said virtual address signal into a permission signal if an access type corresponding to said access type signal is allowed by a permission corresponding to said permission signal, but issuing a permission fault indication if said access type corresponding to said access type signal is not allowed by said permission.
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2. A memory management unit as recited in claim 1, wherein said translator comprises: a domain classifier coupled to receive said virtual address signal for generating said domain number signal in response to a portion of the virtual address signal and issuing a domain fault indication if there is no domain number associated with said virtual address signal; an address translator coupled to receive said virtual address signal for translating said virtual signal into said physical address signal if a corresponding physical address exists, but issuing a translation fault indication if there is no physical address corresponding to said virtual address signal; and a permission translator for receiving said virtual address signal and said access type signal and translating said virtual address signal into a permission signal if an access type corresponding to said access type signal is allowed by a permission corresponding to said permission signal, but issuing a permission fault indication if said access type corresponding to said access type signal is not allowed by said permission. 3. A memory management unit as recited in claim 2, and further comprising a fault dispatcher for issuing a fault signal to said CPU if said fault dispatcher receives either said domain fault indication, said translation fault indication, said permission fault indication or said second fault indication.
| 0.846008 |
3. The computing apparatus of claim 2 , wherein the VANC engine is further configured to request the additional input via a text-to-speech engine.
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3. The computing apparatus of claim 2 , wherein the VANC engine is further configured to request the additional input via a text-to-speech engine. 4. The computing apparatus of claim 3 , wherein the VANC engine is further configured to determine locally that the additional input is necessary.
| 0.932247 |
1. In a digital media environment to facilitate management of image collections using at least one computing device, a method to automatically generate image captions using weak supervision data comprising: obtaining, by the at least one computing device, a target image for caption analysis; applying, by the at least one computing device, feature extraction to the target image to generate global concepts corresponding to the image; comparing, by the at least one computing device, the target image to images from a source of weakly annotated images to identify visually similar images; building, by the at least one computing device, a collection of keywords for the target image indicative of image details by extracting the keywords from the visually similar images; and supplying, by the at least one computing device, the collection of keywords indicative of image details as the weak supervision data for caption generation along with the global concepts.
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1. In a digital media environment to facilitate management of image collections using at least one computing device, a method to automatically generate image captions using weak supervision data comprising: obtaining, by the at least one computing device, a target image for caption analysis; applying, by the at least one computing device, feature extraction to the target image to generate global concepts corresponding to the image; comparing, by the at least one computing device, the target image to images from a source of weakly annotated images to identify visually similar images; building, by the at least one computing device, a collection of keywords for the target image indicative of image details by extracting the keywords from the visually similar images; and supplying, by the at least one computing device, the collection of keywords indicative of image details as the weak supervision data for caption generation along with the global concepts. 3. The method as described in claim 1 , wherein the collection of keywords expands a set of candidate captions available for the caption analysis to include specific objects, attributes, and terms derived from the weak supervision data in addition to the global concepts derived from the feature extraction.
| 0.65923 |
13. A system for responding to an inquiry comprising: a web miner configured to retrieve a first web page and a second web page, the first web page associated with a first layout and the second web page associated with a second layout and to compare the first layout and the second layout and to generate stored question-answer pairs based on the comparing the first layout and the second layout; an interface configured to receive the inquiry via a network; provide a plurality of responses receive a selection of a particular response from among the plurality of responses; a database comprising stored question-answer pairs; a feature extractor module for extracting features of the stored question-answer pairs from the database and labeling each question-answer pair with meta-level features to define relationships among stored question-answer pairs, the meta-level features of a particular stored question-answer pair based on the meta-level features of a previous related stored question-answer pair and a first related stored question-answer pair; and a processor configured to: clarify the inquiry based on follow-up procedures including asking follow-up questions and analyzing the inquiry to determine the plurality of responses to the inquiry based on the stored question answer pairs, the relationships among the stored question answer pairs, and the follow-up procedures; and store a measure of the eligibility of the particular response to be a response to the inquiry based on the selection.
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13. A system for responding to an inquiry comprising: a web miner configured to retrieve a first web page and a second web page, the first web page associated with a first layout and the second web page associated with a second layout and to compare the first layout and the second layout and to generate stored question-answer pairs based on the comparing the first layout and the second layout; an interface configured to receive the inquiry via a network; provide a plurality of responses receive a selection of a particular response from among the plurality of responses; a database comprising stored question-answer pairs; a feature extractor module for extracting features of the stored question-answer pairs from the database and labeling each question-answer pair with meta-level features to define relationships among stored question-answer pairs, the meta-level features of a particular stored question-answer pair based on the meta-level features of a previous related stored question-answer pair and a first related stored question-answer pair; and a processor configured to: clarify the inquiry based on follow-up procedures including asking follow-up questions and analyzing the inquiry to determine the plurality of responses to the inquiry based on the stored question answer pairs, the relationships among the stored question answer pairs, and the follow-up procedures; and store a measure of the eligibility of the particular response to be a response to the inquiry based on the selection. 21. The system of claim 13 wherein the web miner detects semantic blocks encoded with similar layout properties to locate unstructured question-answer pairs.
| 0.532557 |
7. The method of claim 1 , wherein the second set of instructions is further configured to cause displaying the interface in association with a particular term of the set of terms for which the particular coupon offer was selected.
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7. The method of claim 1 , wherein the second set of instructions is further configured to cause displaying the interface in association with a particular term of the set of terms for which the particular coupon offer was selected. 8. The method of claim 7 , wherein the second set of instructions is further configured to cause modifying the particular term to include a link configured to cause display of the interface as a pop-up interface upon selection of the link.
| 0.947253 |
19. A computer program product comprising a non-transitory computer-readable storage medium having stored therein instructions for graphically building a message format, the instructions, when executed on a computer, instruct the computer to perform the operations comprising: receiving a message; extracting at least one format element from the message; building the message format using the at least one format element; graphically representing a physical appearance of the message format in a horizontal format, wherein the horizontal format comprises an accordion style container of format elements, wherein the accordion style container include plurality of sub-containers, wherein each sub-container is delimited on both sides of the horizontal format of the sub-container, and wherein the accordion style container are expandable and collapsible in a horizontal direction; expanding the accordion style containers or sub containers; and in response to the expanding, substituting each data field of the accordion style container or sub containers with a value.
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19. A computer program product comprising a non-transitory computer-readable storage medium having stored therein instructions for graphically building a message format, the instructions, when executed on a computer, instruct the computer to perform the operations comprising: receiving a message; extracting at least one format element from the message; building the message format using the at least one format element; graphically representing a physical appearance of the message format in a horizontal format, wherein the horizontal format comprises an accordion style container of format elements, wherein the accordion style container include plurality of sub-containers, wherein each sub-container is delimited on both sides of the horizontal format of the sub-container, and wherein the accordion style container are expandable and collapsible in a horizontal direction; expanding the accordion style containers or sub containers; and in response to the expanding, substituting each data field of the accordion style container or sub containers with a value. 25. The computer program product of claim 19 , wherein building the message format comprises: copying at least a portion of an existing message format; and pasting the at least a portion of the existing message format into the message format.
| 0.576314 |
1. A speech recognition system comprising: a first speech signal preprocessor to receive first input data representing a speech input signal and having first speech input signal preclassifying output data; a second speech signal preprocessor to receive second input data representing the speech input signal and having second speech input signal preclassifying output data; a mixer to receive the first and second speech input signal preclassifying output data and having output data represented by a selected mix of the first and second speech input signal preclassifying output data; a selection control circuit coupled to the mixer to determine the selected mix of the first and second speech input signal preclassifying output data by determining an appropriate balance between speech recognition accuracy of the speech recognition system and a speech recognition processing speed of the speech recognition system; and a speech classifier to receive the selected mix and having output data to classify the speech input signal as recognized speech.
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1. A speech recognition system comprising: a first speech signal preprocessor to receive first input data representing a speech input signal and having first speech input signal preclassifying output data; a second speech signal preprocessor to receive second input data representing the speech input signal and having second speech input signal preclassifying output data; a mixer to receive the first and second speech input signal preclassifying output data and having output data represented by a selected mix of the first and second speech input signal preclassifying output data; a selection control circuit coupled to the mixer to determine the selected mix of the first and second speech input signal preclassifying output data by determining an appropriate balance between speech recognition accuracy of the speech recognition system and a speech recognition processing speed of the speech recognition system; and a speech classifier to receive the selected mix and having output data to classify the speech input signal as recognized speech. 8. The speech recognition system of claim 1 wherein the speech classifier is a multilevel perceptron neural network.
| 0.798611 |
17. The electronic poetry meter identification method according to claim 15 , further comprising the step of providing feature vector sequences identifying syllabic and sub-syllabic patterns having unvoweled Arabic consonants, Arabic consonants followed by short vowels, Arabic consonants followed by long vowels, and consonant-short vowel-consonant clusters.
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17. The electronic poetry meter identification method according to claim 15 , further comprising the step of providing feature vector sequences identifying syllabic and sub-syllabic patterns having unvoweled Arabic consonants, Arabic consonants followed by short vowels, Arabic consonants followed by long vowels, and consonant-short vowel-consonant clusters. 19. The electronic poetry meter identification method according to claim 17 , further comprising the steps of: parsing the Khalili sequence into a sequence of dactyls from the list of dactyls, the list of dactyls containing the permissible dactyl patterns and a possible set of wrong dactyl patterns; displaying in a first display row a Khalili transcription of a corresponding line of the spoken poem; displaying in a second display row a dactyl sequence of the Khalili transcription; displaying in a third display row the meter of the spoken poem; and displaying in a fourth display row the possible set of wrong dactyl patterns.
| 0.64984 |
5. A transmitting station for use in a system as claimed in claim 1 or 2, wherein the transmitting station is suitable for the transmission of several, different code words in order to selectively activate a receiving station which is identified by an associated code word.
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5. A transmitting station for use in a system as claimed in claim 1 or 2, wherein the transmitting station is suitable for the transmission of several, different code words in order to selectively activate a receiving station which is identified by an associated code word. 6. A transmitting station as claimed in claim 5, wherein the set of permissible code words forms a non-linear code.
| 0.881221 |
7. A client computing device associated with a signer, the client computing device comprising: a processor; and memory coupled to the processor and storing instructions that, when executed by the processor, cause the signer's client computing device to perform operations comprising: receiving an electronic signature document from a client computing device associated with a sender, wherein the electronic signature document is received from the client computing device of the sender by the client computing device of the signer independently of an electronic signature service; installing a code module on the signer's client computing device, the code module received from the electronic signature service and configured to transmit the electronic signature document received by an email client of the signer's client computing device to the electronic signature service in response to a first input received from the signer, transmitting, by the signer's client computing device, the received electronic signature document to the electronic signature service for storage in the electronic signature service; accessing, by the singer's client computing device, the electronic signature document stored in the electronic signature service, wherein accessing the electronic signature document includes signing the stored electronic signature document in response to a second input from the signer; and causing, by the signer's client computing device, the electronic signature service to transmit an email attached with a copy of the stored electronic signature document to the client computing device of the sender using the code module.
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7. A client computing device associated with a signer, the client computing device comprising: a processor; and memory coupled to the processor and storing instructions that, when executed by the processor, cause the signer's client computing device to perform operations comprising: receiving an electronic signature document from a client computing device associated with a sender, wherein the electronic signature document is received from the client computing device of the sender by the client computing device of the signer independently of an electronic signature service; installing a code module on the signer's client computing device, the code module received from the electronic signature service and configured to transmit the electronic signature document received by an email client of the signer's client computing device to the electronic signature service in response to a first input received from the signer, transmitting, by the signer's client computing device, the received electronic signature document to the electronic signature service for storage in the electronic signature service; accessing, by the singer's client computing device, the electronic signature document stored in the electronic signature service, wherein accessing the electronic signature document includes signing the stored electronic signature document in response to a second input from the signer; and causing, by the signer's client computing device, the electronic signature service to transmit an email attached with a copy of the stored electronic signature document to the client computing device of the sender using the code module. 11. The client computing device associated with the signer of claim 7 , wherein the email message further includes a link for accessing the electronic signature document stored in the electronic signature service.
| 0.516241 |
8. A computer-readable medium bearing computer executable instructions which, when executed on a computer system having at least a processor and a memory, carry out a method for responding to a search query with annotated entities, comprising the method of: obtaining a set of search results information from a search results retrieval component responsive to receiving a search query from a computer user; identifying a plurality of recommended entities within the search results information and obtaining a corresponding plurality of annotations corresponding to each of the plurality of recommended entities from an annotation component and assigning an affinity value to each of the plurality of annotations, the annotation component being distinct from the search results retrieval component, wherein each annotation for each recommended entity comprises a set of annotation relationships between the user and the recommended entity, each annotation relationship describing a basis for which the recommended entity is relevant to the user, and wherein the affinity values between the user and a recommended entity are determined according to one or more probability density functions; selecting a threshold number of annotation relationships of the plurality of annotations having the highest affinity value between the user and the corresponding recommended entity; generating a search results page, wherein the generated search results page includes a portion of the search results information including at least one of the recommended entities and, for each of the recommended entities in the search results page, annotating the recommended entity by a user actionable indicator proximate to the recommended entity, wherein the user actionable indicator is configured to provide the annotation comprising the selected threshold number of annotation relationships corresponding to the recommended entity upon activation; and returning the generated search results page responsive to the search query from the user.
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8. A computer-readable medium bearing computer executable instructions which, when executed on a computer system having at least a processor and a memory, carry out a method for responding to a search query with annotated entities, comprising the method of: obtaining a set of search results information from a search results retrieval component responsive to receiving a search query from a computer user; identifying a plurality of recommended entities within the search results information and obtaining a corresponding plurality of annotations corresponding to each of the plurality of recommended entities from an annotation component and assigning an affinity value to each of the plurality of annotations, the annotation component being distinct from the search results retrieval component, wherein each annotation for each recommended entity comprises a set of annotation relationships between the user and the recommended entity, each annotation relationship describing a basis for which the recommended entity is relevant to the user, and wherein the affinity values between the user and a recommended entity are determined according to one or more probability density functions; selecting a threshold number of annotation relationships of the plurality of annotations having the highest affinity value between the user and the corresponding recommended entity; generating a search results page, wherein the generated search results page includes a portion of the search results information including at least one of the recommended entities and, for each of the recommended entities in the search results page, annotating the recommended entity by a user actionable indicator proximate to the recommended entity, wherein the user actionable indicator is configured to provide the annotation comprising the selected threshold number of annotation relationships corresponding to the recommended entity upon activation; and returning the generated search results page responsive to the search query from the user. 11. The computer-readable medium of claim 8 , wherein the basis for which the recommended entity is relevant to the user comprises any one of a social basis according to the actions of the user's social network, a statistical related action basis, and a geographic basis according to the user's current geographic location.
| 0.5 |
8. A computer program product for selecting a subset of a plurality of images for a viewer, the computer program product comprising a computer-readable storage medium containing computer program code for: storing user profiles for each of a plurality of users of a social networking system; storing information for each of a plurality of objects in the social networking system; storing a plurality of connections between each of the plurality of the users and the other users or objects in the social networking system; accessing a plurality of images provided by a posting user of the plurality of users; receiving a request from a viewing user of the plurality of users to access an album, the album comprising a set of images selected from the plurality of images; identifying one or more tagged objects in the images in the album, where a tagged object is an object of the plurality of objects in the social networking system; computing a score for one or more of the plurality of images, where the score for an image is based at least in part on an association between information from a user profile of the viewing user and the one or more tagged objects in the image; selecting a subset of the plurality of images based on the computed scores, wherein one or more of the computed scores are adjusted to select a diverse subset of images that include a diversity of tagged objects across the one or more of the plurality of images; and sending for display to the viewing user an album, the album comprising the selected subset of the plurality of images.
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8. A computer program product for selecting a subset of a plurality of images for a viewer, the computer program product comprising a computer-readable storage medium containing computer program code for: storing user profiles for each of a plurality of users of a social networking system; storing information for each of a plurality of objects in the social networking system; storing a plurality of connections between each of the plurality of the users and the other users or objects in the social networking system; accessing a plurality of images provided by a posting user of the plurality of users; receiving a request from a viewing user of the plurality of users to access an album, the album comprising a set of images selected from the plurality of images; identifying one or more tagged objects in the images in the album, where a tagged object is an object of the plurality of objects in the social networking system; computing a score for one or more of the plurality of images, where the score for an image is based at least in part on an association between information from a user profile of the viewing user and the one or more tagged objects in the image; selecting a subset of the plurality of images based on the computed scores, wherein one or more of the computed scores are adjusted to select a diverse subset of images that include a diversity of tagged objects across the one or more of the plurality of images; and sending for display to the viewing user an album, the album comprising the selected subset of the plurality of images. 9. The computer program product of claim 8 , wherein the tagged objects identify one or more other users who are tagged in the image, and the user profile includes information about the viewing user's connections, and further wherein the scoring step further includes the calculation of a connection score using the list of identified individuals and the viewing user's connections.
| 0.527826 |
8. A method for recognizing mathematical expressions, the method comprising: receiving an image by a pre-processing module; obtaining one or more candidate regions from the image by the pre-processing module; extracting features of each of the candidate regions by a feature extracting module includes applying a CNN, wherein the extracting of the features from each of the candidate regions includes sliding a window along each of the candidate regions such that the features are obtained from a plurality of positions of the window; encoding, by an encoding module, the features into a distributive representation for each of the candidate regions separately; decoding the distributive representation for each of the candidate regions into one or snore output representations by a decoding module; and combining, a post-processing module, the one or more output representations into an output expression being in a computer-readable format.
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8. A method for recognizing mathematical expressions, the method comprising: receiving an image by a pre-processing module; obtaining one or more candidate regions from the image by the pre-processing module; extracting features of each of the candidate regions by a feature extracting module includes applying a CNN, wherein the extracting of the features from each of the candidate regions includes sliding a window along each of the candidate regions such that the features are obtained from a plurality of positions of the window; encoding, by an encoding module, the features into a distributive representation for each of the candidate regions separately; decoding the distributive representation for each of the candidate regions into one or snore output representations by a decoding module; and combining, a post-processing module, the one or more output representations into an output expression being in a computer-readable format. 11. The method of claim 8 , wherein the encoding of the features into the distributive representation includes applying a first recurrent neural network by the encoding module.
| 0.643449 |
16. The system of claim 15 , wherein said program code for converting comprises a parser function and includes: program code for dividing each line of the database into tokens, each token being a word that is separated by a space, wherein each line within said database is split into words separated by a blank space; program code for generating a dictionary of tokens comprising a single occurrence of each token, wherein duplication of tokens within the dictionary of tokens is substantially avoided; and program code for converting each line of said database into a token vector with one entry for each token within the line.
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16. The system of claim 15 , wherein said program code for converting comprises a parser function and includes: program code for dividing each line of the database into tokens, each token being a word that is separated by a space, wherein each line within said database is split into words separated by a blank space; program code for generating a dictionary of tokens comprising a single occurrence of each token, wherein duplication of tokens within the dictionary of tokens is substantially avoided; and program code for converting each line of said database into a token vector with one entry for each token within the line. 18. The system of claim 16 , further comprising: program code for combining similar event examples into clusters; program code for outputting said clusters to a user; and program code for enabling user manipulation of parameters of said clustering algorithm to produce different clusters.
| 0.709479 |
2. The method of claim 1 , further comprising: processing the result record set to define an answer to the natural language query.
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2. The method of claim 1 , further comprising: processing the result record set to define an answer to the natural language query. 3. The method of claim 2 , further comprising: presenting the answer to a user.
| 0.967234 |
35. The non-transitory computer-readable medium of claim 34 , wherein the enrollee is further enrolled in the mobile device-based community corrections supervision system as an option to pre-trial incarceration.
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35. The non-transitory computer-readable medium of claim 34 , wherein the enrollee is further enrolled in the mobile device-based community corrections supervision system as an option to pre-trial incarceration. 36. The non-transitory computer-readable medium of claim 35 , wherein an amount of time the enrollee participates in the mobile device-based community corrections supervision system is used at least in part for a later time-served sentence duration reduction.
| 0.861111 |
19. A method for analyzing a plurality of documents, comprising: receiving the plurality of documents via a computing device; filtering the plurality of documents to produce a subset of the plurality of documents; executing instructions stored in memory, wherein execution of the instructions by a processor generates an initial control set based on random sampling of the subset of the plurality of documents on a rolling load basis; receiving user input from the computing device, the user input based on an identified subject or category; and executing instructions stored in memory, wherein execution of the instructions by a processor: reviews the initial control set to determine at least one seed set parameter associated with the identified subject or category, automatically codes a first portion of the plurality of documents, based on the initial control set and the at least one seed set parameter associated with the identified subject or category, automatically codes a second portion of the plurality of documents resulting from an application of user analysis and an adaptive identification cycle, and adds the coded second portion of the plurality of documents to the initial control set.
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19. A method for analyzing a plurality of documents, comprising: receiving the plurality of documents via a computing device; filtering the plurality of documents to produce a subset of the plurality of documents; executing instructions stored in memory, wherein execution of the instructions by a processor generates an initial control set based on random sampling of the subset of the plurality of documents on a rolling load basis; receiving user input from the computing device, the user input based on an identified subject or category; and executing instructions stored in memory, wherein execution of the instructions by a processor: reviews the initial control set to determine at least one seed set parameter associated with the identified subject or category, automatically codes a first portion of the plurality of documents, based on the initial control set and the at least one seed set parameter associated with the identified subject or category, automatically codes a second portion of the plurality of documents resulting from an application of user analysis and an adaptive identification cycle, and adds the coded second portion of the plurality of documents to the initial control set. 27. The method of claim 19 , further comprising: adding additional documents to the plurality of documents on a rolling load basis; wherein generating the initial control set based on random sampling of the subset of the plurality of documents on a rolling load basis includes generating the initial control set based on the random sampling of the additional documents added on a rolling load basis.
| 0.521263 |
1. A computer-implemented method, comprising: receiving an input method editor (IME) server request, the IME server request including one or more tokens and requesting that an IME server be instantiated, the IME server executing one or more IME functions based on a key event sent from an IME client, wherein the IME server is a stateful server that stores both requests and responses of a communication session between the IME server and the IME client; determining that the IME server is authorized to be instantiated in a restrictive environment based on the one or more tokens, wherein each of the one or more of tokens corresponds to a respective restriction level of functionality provided by the restrictive environment; instantiating the IME server in the restrictive environment in response to determining that the IME server is authorized to be instantiated in the restrictive environment based on the one or more tokens; responsive to instantiating the IME server, generating a randomly generated path name for communication between the IME client and the IME server, wherein the path name comprises a named pipe; storing the path name in a user profile directory, wherein access to the user profile directory is enabled by verification of a security token provided by the IME client; generating a unique session identifier (SID) for a session associated with a user at the IME client; and transmitting the unique SID to the IME client using a connection that is established based on the path name.
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1. A computer-implemented method, comprising: receiving an input method editor (IME) server request, the IME server request including one or more tokens and requesting that an IME server be instantiated, the IME server executing one or more IME functions based on a key event sent from an IME client, wherein the IME server is a stateful server that stores both requests and responses of a communication session between the IME server and the IME client; determining that the IME server is authorized to be instantiated in a restrictive environment based on the one or more tokens, wherein each of the one or more of tokens corresponds to a respective restriction level of functionality provided by the restrictive environment; instantiating the IME server in the restrictive environment in response to determining that the IME server is authorized to be instantiated in the restrictive environment based on the one or more tokens; responsive to instantiating the IME server, generating a randomly generated path name for communication between the IME client and the IME server, wherein the path name comprises a named pipe; storing the path name in a user profile directory, wherein access to the user profile directory is enabled by verification of a security token provided by the IME client; generating a unique session identifier (SID) for a session associated with a user at the IME client; and transmitting the unique SID to the IME client using a connection that is established based on the path name. 7. The computer-implemented method of claim 1 , further comprising: instantiating the restrictive environment based on a first token to provide a first restriction level of the restrictive environment; executing the IME server within the restrictive environment at the first restriction level; calling a function; re-instantiating the restrictive environment based on a second token to provide a second restriction level in response to the function.
| 0.556956 |
27. The method of claim 25 , wherein previewing the combined content file comprises identifying any of the first level content files or any of the one or more lower level content files that overwrite existing files to generate the modified content package file.
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27. The method of claim 25 , wherein previewing the combined content file comprises identifying any of the first level content files or any of the one or more lower level content files that overwrite existing files to generate the modified content package file. 28. The method of claim 27 , wherein identifying comprises providing an option for allowing or disallowing overwriting existing files with the first level content files or any of the one or more lower level content files.
| 0.858417 |
11. A computer program product for converting a document for a user, the computer program product comprising a non-transitory computer usable medium having computer readable program code thereon, the computer readable program code comprising: program code for defining a format selection criteria group that includes a recipient e-snail address, an appendage to the document, a sender e-mail address and document content; program code for receiving a document via a telecommunications network from a first user device at a location physically remote from the first user device, the document having a first format; and program code for automatically producing at least one new version of the document upon receipt of the document the new version of the document having a second format different from the first format; wherein the second format is selected based on a format selection criteria chosen from the format selection criteria group following an iterative document conversion process that selects the second format: i. based on the recipient e-mail address if one is available, or else ii. based on the appendage if one is available, or else iii. based on the sender e-mail address if one is available, or else iv. based on the document content.
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11. A computer program product for converting a document for a user, the computer program product comprising a non-transitory computer usable medium having computer readable program code thereon, the computer readable program code comprising: program code for defining a format selection criteria group that includes a recipient e-snail address, an appendage to the document, a sender e-mail address and document content; program code for receiving a document via a telecommunications network from a first user device at a location physically remote from the first user device, the document having a first format; and program code for automatically producing at least one new version of the document upon receipt of the document the new version of the document having a second format different from the first format; wherein the second format is selected based on a format selection criteria chosen from the format selection criteria group following an iterative document conversion process that selects the second format: i. based on the recipient e-mail address if one is available, or else ii. based on the appendage if one is available, or else iii. based on the sender e-mail address if one is available, or else iv. based on the document content. 14. A computer program product according to claim 11 , wherein the appendage is a cover sheet.
| 0.589655 |
9. A machine-readable storage device tangibly embodying a computer program product configured to cause data processing apparatus to perform operations comprising: identifying state dependent content in an electronic document, wherein the state dependent content is renderable to have a plurality of appearances; receiving an attestation corresponding to the state dependent content; associating the attestation with the electronic document; and digitally signing the electronic document to generate a signed electronic document including a digital signature corresponding to a user associated with the attestation.
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9. A machine-readable storage device tangibly embodying a computer program product configured to cause data processing apparatus to perform operations comprising: identifying state dependent content in an electronic document, wherein the state dependent content is renderable to have a plurality of appearances; receiving an attestation corresponding to the state dependent content; associating the attestation with the electronic document; and digitally signing the electronic document to generate a signed electronic document including a digital signature corresponding to a user associated with the attestation. 12. The machine-readable storage device of claim 9 , further operable to cause data processing apparatus to perform operations comprising: generating a disclosure of the state dependent content in the electronic document; and associating the disclosure with the electronic document.
| 0.558125 |
1. A method comprising: receiving, by a computing device, an acoustic input signal at a speech recognizer; identifying, by the computing device, a user that is speaking based on the acoustic input signal; recognizing, by the computing device via the speech recognizer, speech uttered by the user in the acoustic input signal; determining, by the computing device, speaker-specific information previously stored for the user; determining, by the computing device, a set of potential responses based on the recognized speech and the speaker-specific information for the user; ranking, by the computing device, the set of potential responses based on one or more criteria and the speaker-specific information; determining, by the computing device for each response in the set of potential responses, whether the response should be output or should not be output based on the response's ranking; and if the response should be output: selecting, by the computing device from among a plurality of preconfigured output methods, an output method for outputting the response to the user, the selecting being based on the response's ranking; and outputting, by the computing device, the response to the user using the selected output method.
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1. A method comprising: receiving, by a computing device, an acoustic input signal at a speech recognizer; identifying, by the computing device, a user that is speaking based on the acoustic input signal; recognizing, by the computing device via the speech recognizer, speech uttered by the user in the acoustic input signal; determining, by the computing device, speaker-specific information previously stored for the user; determining, by the computing device, a set of potential responses based on the recognized speech and the speaker-specific information for the user; ranking, by the computing device, the set of potential responses based on one or more criteria and the speaker-specific information; determining, by the computing device for each response in the set of potential responses, whether the response should be output or should not be output based on the response's ranking; and if the response should be output: selecting, by the computing device from among a plurality of preconfigured output methods, an output method for outputting the response to the user, the selecting being based on the response's ranking; and outputting, by the computing device, the response to the user using the selected output method. 6. The method of claim 1 further comprising: determining a set of classifications based on the speaker-specific information; classifying portions of the acoustic input signal into different classifications in the set of classifications; selecting a classification in the set of classifications based on a criterion associated with the classification; and using the classification to determine the set of potential responses.
| 0.5 |
10. A voice retrieval method comprising: setting detection criteria to detect a retrieval word, based on a characteristic of the retrieval word, such that the higher the detection accuracy of the retrieval word or the lower the pronunciation difficulty of the retrieval word or the lower the appearance probability of the retrieval word, the less number of sections to be selected, as candidate sections, from voice data including a plurality of sections obtained by dividing the voice data into a plurality of frames, the voice data being recorded using a microphone; selecting part of the plurality of sections as the candidate sections which possibly include the retrieval word by performing, by a computer processor, first voice retrieval processing on the voice data according to the detection criteria, the first voice retrieval processing including calculating a matching score using the detection criteria for each of the plurality of sections included in the voice data, the matching score indicating a possibility of the retrieval word being included in each of the plurality of sections, according to the first voice retrieval processing, and detecting sections having the matching score that satisfies the detection criteria as the candidate sections; detecting a section including the retrieval word by performing second voice retrieval processing using the detection criteria on each of the selected candidate sections, the second voice retrieval processing being different from the first voice retrieval processing; and outputting the detected section which includes the retrieval word.
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10. A voice retrieval method comprising: setting detection criteria to detect a retrieval word, based on a characteristic of the retrieval word, such that the higher the detection accuracy of the retrieval word or the lower the pronunciation difficulty of the retrieval word or the lower the appearance probability of the retrieval word, the less number of sections to be selected, as candidate sections, from voice data including a plurality of sections obtained by dividing the voice data into a plurality of frames, the voice data being recorded using a microphone; selecting part of the plurality of sections as the candidate sections which possibly include the retrieval word by performing, by a computer processor, first voice retrieval processing on the voice data according to the detection criteria, the first voice retrieval processing including calculating a matching score using the detection criteria for each of the plurality of sections included in the voice data, the matching score indicating a possibility of the retrieval word being included in each of the plurality of sections, according to the first voice retrieval processing, and detecting sections having the matching score that satisfies the detection criteria as the candidate sections; detecting a section including the retrieval word by performing second voice retrieval processing using the detection criteria on each of the selected candidate sections, the second voice retrieval processing being different from the first voice retrieval processing; and outputting the detected section which includes the retrieval word. 15. The method according to claim 10 , wherein the detection criteria is a score threshold for the matching score, wherein the setting includes increasing the score threshold for the detection criteria such that the less number of sections to be selected as the candidate sections, and wherein the detecting includes detecting a section that has the corresponding matching score equal to or higher than the score threshold, as the candidate section, among the plurality of sections.
| 0.625581 |
16. One or more computer-readable storage media storing instructions that, when executed by a computing device, implement a localization module configured to perform operations comprising: ascertaining one or more languages selected by developer for translations of an application under development using an IDE; and during a build of the application via the IDE, creating updated localization files for each of the selected languages in a designated file format established to facilitate translations used to generate a single multilingual resource file for the application, wherein creating the updated localization files comprises: producing a log file in a system format that describes resources for the build of the application; parsing the log file to identify and extract localizable resources in the build; converting the extracted localizable resources to generate a source resource file for the build in the designated file format; and merging the source resource file with target localization files included in the project for the one or more languages to form localization files that are updated for the build, wherein the merging comprises, for each target localization file: comparing resources between the source resource file and the target localization file to find matching resources; and updating the resources in the source resource file with matching resources from the target localization file to form an updated version of the target localization file that incorporates modifications to resources for the build from the source resource file and previously translated resources from the target localization file.
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16. One or more computer-readable storage media storing instructions that, when executed by a computing device, implement a localization module configured to perform operations comprising: ascertaining one or more languages selected by developer for translations of an application under development using an IDE; and during a build of the application via the IDE, creating updated localization files for each of the selected languages in a designated file format established to facilitate translations used to generate a single multilingual resource file for the application, wherein creating the updated localization files comprises: producing a log file in a system format that describes resources for the build of the application; parsing the log file to identify and extract localizable resources in the build; converting the extracted localizable resources to generate a source resource file for the build in the designated file format; and merging the source resource file with target localization files included in the project for the one or more languages to form localization files that are updated for the build, wherein the merging comprises, for each target localization file: comparing resources between the source resource file and the target localization file to find matching resources; and updating the resources in the source resource file with matching resources from the target localization file to form an updated version of the target localization file that incorporates modifications to resources for the build from the source resource file and previously translated resources from the target localization file. 17. One or more computer-readable storage media as described in claim 16 , wherein the localization module is further configured to perform operations via the IDE comprising: outputting the updated localization files that are created to enable asynchronous translations via one or more translation sources; obtaining translations of localization files that are available during the build; and generating the single multilingual resource file for the build of the application based on the available translations that are obtained.
| 0.5 |
1. A challenge search query game system, comprising: a search server computing device configured to: receive a challenge query from a game program in response to an in-game action by a game player; retrieve a challenge in response to the challenge query, the challenge including one or more clues and a solution; send the challenge to the game program for display in the game, causing the game program to store the challenge and present a first clue from the one or more clues to the game player; receive a search query from the game program in response to providing the first clue to the game player, the search query based on one or more keywords input by the game player; provide search results based on the search query to the game program; determine if the one or more keywords match the solution to the challenge; and if the one or more keywords match the solution to the challenge: provide search results, sponsored links, and a solution notification embedded in the search results to the game program; send a message to the game program to perform a predefined action in response to the game player selecting the solution notification; and in response to the game player selecting a sponsored link, generate and share revenue with a game publisher of the game.
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1. A challenge search query game system, comprising: a search server computing device configured to: receive a challenge query from a game program in response to an in-game action by a game player; retrieve a challenge in response to the challenge query, the challenge including one or more clues and a solution; send the challenge to the game program for display in the game, causing the game program to store the challenge and present a first clue from the one or more clues to the game player; receive a search query from the game program in response to providing the first clue to the game player, the search query based on one or more keywords input by the game player; provide search results based on the search query to the game program; determine if the one or more keywords match the solution to the challenge; and if the one or more keywords match the solution to the challenge: provide search results, sponsored links, and a solution notification embedded in the search results to the game program; send a message to the game program to perform a predefined action in response to the game player selecting the solution notification; and in response to the game player selecting a sponsored link, generate and share revenue with a game publisher of the game. 6. The system of claim 1 , wherein the challenge is based on at least one of game player profile information and search trend data stored on the search server computing device.
| 0.902747 |
2. The method of claim 1 , if there is no meaningless lexical unit with a predetermined numerical control sum matching the numerical control sum of the first potential meaningless lexical unit in the lexical unit database, the method further comprises: (i) subdividing the first potential meaningless lexical unit into at least two smaller lexical units and determining at least one smaller lexical unit as the second potential meaningless lexical unit; (ii) determining, by the server, a numerical control sum of the second potential meaningless lexical unit; (iii) matching using a second parameter the first potential meaningless lexical unit with lexical units from the lexical units database, wherein matching using the second parameter comprises matching the numerical control sum of the second potential meaningless lexical unit with predetermined numerical control sums of meaningless lexical units from the lexical units database; (iv) determining, by the server, the second potential meaningless lexical unit is a meaningless lexical unit if the lexical units database includes at least one meaningless lexical unit with a predetermined numerical control sum matching the numerical control sum of the second potential meaningless lexical unit; (v) if the second potential meaningless lexical unit is determined to be the meaningless lexical unit, generating, by the server, the abstract of the electronic message, the abstract not including the at least one meaningless lexical unit.
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2. The method of claim 1 , if there is no meaningless lexical unit with a predetermined numerical control sum matching the numerical control sum of the first potential meaningless lexical unit in the lexical unit database, the method further comprises: (i) subdividing the first potential meaningless lexical unit into at least two smaller lexical units and determining at least one smaller lexical unit as the second potential meaningless lexical unit; (ii) determining, by the server, a numerical control sum of the second potential meaningless lexical unit; (iii) matching using a second parameter the first potential meaningless lexical unit with lexical units from the lexical units database, wherein matching using the second parameter comprises matching the numerical control sum of the second potential meaningless lexical unit with predetermined numerical control sums of meaningless lexical units from the lexical units database; (iv) determining, by the server, the second potential meaningless lexical unit is a meaningless lexical unit if the lexical units database includes at least one meaningless lexical unit with a predetermined numerical control sum matching the numerical control sum of the second potential meaningless lexical unit; (v) if the second potential meaningless lexical unit is determined to be the meaningless lexical unit, generating, by the server, the abstract of the electronic message, the abstract not including the at least one meaningless lexical unit. 3. The method of claim 2 , wherein the first potential meaningless lexical unit is a paragraph and the second potential meaningless lexical unit is a sentence from the paragraph.
| 0.776861 |
7. the method as in claim 2 , wherein the ranking is determined in part using an algorithm that applies one or more weighting terms.
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7. the method as in claim 2 , wherein the ranking is determined in part using an algorithm that applies one or more weighting terms. 8. the method as in claim 7 , wherein the weighting term is derived from social network data.
| 0.962237 |
1. A method for recovering a partition based on file system metadata, comprising: determining, by an unallocated area determination unit, an unallocated area in a disk or an evidence image; collecting, by a Master File Table (MFT) entry collection unit, MFT entries from the unallocated area; generating, by an MFT entry analysis unit, MFT partition candidate information by analyzing the MFT entries; and creating, by an MFT partition creation unit, information enabling a layout of a partition to be reconfigured based on the MFT partition candidate information, and creating a tree structure using the created information and the MFT entries, wherein creating the tree structure comprises: reading the MFT partition candidate information and then accessing a corresponding sector; analyzing MFT entries of the corresponding sector and calculating a location of a boot record; if the location of the boot record has been calculated, calculating a total size of a volume using an MFT entry corresponding to a metadata file; determining whether the calculated volume size satisfies a preset minimum size; parsing the collected MFT entries if it is determined that the calculated volume size satisfies the preset minimum size; and restoring parsed results to a tree structure.
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1. A method for recovering a partition based on file system metadata, comprising: determining, by an unallocated area determination unit, an unallocated area in a disk or an evidence image; collecting, by a Master File Table (MFT) entry collection unit, MFT entries from the unallocated area; generating, by an MFT entry analysis unit, MFT partition candidate information by analyzing the MFT entries; and creating, by an MFT partition creation unit, information enabling a layout of a partition to be reconfigured based on the MFT partition candidate information, and creating a tree structure using the created information and the MFT entries, wherein creating the tree structure comprises: reading the MFT partition candidate information and then accessing a corresponding sector; analyzing MFT entries of the corresponding sector and calculating a location of a boot record; if the location of the boot record has been calculated, calculating a total size of a volume using an MFT entry corresponding to a metadata file; determining whether the calculated volume size satisfies a preset minimum size; parsing the collected MFT entries if it is determined that the calculated volume size satisfies the preset minimum size; and restoring parsed results to a tree structure. 8. The method of claim 1 , wherein determining the unallocated area comprises classifying the disk or evidence image into an allocated area and an unallocated area, and representing each area by Linear Block Addressing (LBA)-based addresses.
| 0.663968 |
3. The method of claim 1 , where the received modification causes one or more damaged lines in the paragraph.
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3. The method of claim 1 , where the received modification causes one or more damaged lines in the paragraph. 4. The method of claim 3 , where recomposing the portion of the paragraph includes recomposing the damaged lines in the paragraph without recomposing undamaged previous lines in the paragraph.
| 0.934929 |
1. A prosody generation apparatus that receives phonological information and linguistic information so as to generate prosody, the prosody generation apparatus being operable to refer to (a) a representative prosodic pattern storage unit for accumulating beforehand representative prosodic patterns of portions of speech data, the portions including prosody changing points; (b) a selection rule storage unit that stores a selection rule predetermined according to attributes concerning phonology or attributes concerning linguistic information of the portions of the speech data including the prosody changing points; and (c) a transformation rule storage unit that stores a transformation rule predetermined according to attributes concerning the phonology or the linguistic information of the portions of the speech data including the prosody changing points; the prosody generation apparatus comprising a computer processing unit and a memory storing a program that are configured to implement: a prosody changing point setting unit that sets a prosody changing point according to at least any one of the received phonological information and the linguistic information; a pattern selection unit that selects a representative prosodic pattern from the representative prosodic pattern storage unit according to the selection rule, based on the received phonological information and the linguistic information; and a prosody generation unit that transforms the representative prosodic pattern selected by the pattern selection unit according to the transformation rule and interpolates the transformed prosodic pattern for a portion between the prosodic patterns corresponding to the prosody changing points, wherein assuming that a difference in pitch between adjacent moras or adjacent syllables of the speech data is ΔP, the prosody changing point is a point where the ΔP and an immediately following ΔP are different in sign.
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1. A prosody generation apparatus that receives phonological information and linguistic information so as to generate prosody, the prosody generation apparatus being operable to refer to (a) a representative prosodic pattern storage unit for accumulating beforehand representative prosodic patterns of portions of speech data, the portions including prosody changing points; (b) a selection rule storage unit that stores a selection rule predetermined according to attributes concerning phonology or attributes concerning linguistic information of the portions of the speech data including the prosody changing points; and (c) a transformation rule storage unit that stores a transformation rule predetermined according to attributes concerning the phonology or the linguistic information of the portions of the speech data including the prosody changing points; the prosody generation apparatus comprising a computer processing unit and a memory storing a program that are configured to implement: a prosody changing point setting unit that sets a prosody changing point according to at least any one of the received phonological information and the linguistic information; a pattern selection unit that selects a representative prosodic pattern from the representative prosodic pattern storage unit according to the selection rule, based on the received phonological information and the linguistic information; and a prosody generation unit that transforms the representative prosodic pattern selected by the pattern selection unit according to the transformation rule and interpolates the transformed prosodic pattern for a portion between the prosodic patterns corresponding to the prosody changing points, wherein assuming that a difference in pitch between adjacent moras or adjacent syllables of the speech data is ΔP, the prosody changing point is a point where the ΔP and an immediately following ΔP are different in sign. 3. The prosody generation apparatus according to claim 1 , wherein the representative patterns are power patterns.
| 0.70176 |
13. The apparatus of claim 12 , further comprising: means for receiving a second packet from the second client via a second client computer across a transmission channel; means for identifying number of redundant digital representations in the second packet; and means for selecting one of the redundant digital representations in response to the first client criteria.
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13. The apparatus of claim 12 , further comprising: means for receiving a second packet from the second client via a second client computer across a transmission channel; means for identifying number of redundant digital representations in the second packet; and means for selecting one of the redundant digital representations in response to the first client criteria. 20. The apparatus of claim 13 , wherein means for selecting one of the redundant digital representations in response to second client criteria includes means for selecting one of the redundant digital representations in response to at least a portion of a user profile.
| 0.758084 |
1. A method comprising: storing, by a social networking system, a social graph comprising a plurality of nodes and edges, wherein a node represents a user or an entity and an edge represents one of a connection between users or an interaction between users performed via the social networking system; storing a plurality of baseline data profiles representing physical social interactions associated with users, wherein the baseline data profiles are created based at least in part on using a machine learning technique and a baseline data profile specifies a physical movement of a sensor; receiving, from a first sensor associated with a first user, a data profile characterizing an interaction between the first sensor and a second sensor associated with a second user as a function of a physical movement of the first sensor; receiving a user identifier corresponding to the first user and the data profile characterizing the interaction; comparing the received data profile characterizing the interaction to the plurality of baseline data profiles to identify a matching baseline data profile responsive to a matching of the physical movement specified by the data profile with the physical movement specified by the matching baseline data profile; identifying a physical social interaction associated with the first user and the second user based on the matching baseline data profile; adding a new edge to the social graph of the social networking system, the new edge representing the identified physical social interaction; and notifying one or more other users of the social networking system that the first user engaged in the physical social interaction with the second user.
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1. A method comprising: storing, by a social networking system, a social graph comprising a plurality of nodes and edges, wherein a node represents a user or an entity and an edge represents one of a connection between users or an interaction between users performed via the social networking system; storing a plurality of baseline data profiles representing physical social interactions associated with users, wherein the baseline data profiles are created based at least in part on using a machine learning technique and a baseline data profile specifies a physical movement of a sensor; receiving, from a first sensor associated with a first user, a data profile characterizing an interaction between the first sensor and a second sensor associated with a second user as a function of a physical movement of the first sensor; receiving a user identifier corresponding to the first user and the data profile characterizing the interaction; comparing the received data profile characterizing the interaction to the plurality of baseline data profiles to identify a matching baseline data profile responsive to a matching of the physical movement specified by the data profile with the physical movement specified by the matching baseline data profile; identifying a physical social interaction associated with the first user and the second user based on the matching baseline data profile; adding a new edge to the social graph of the social networking system, the new edge representing the identified physical social interaction; and notifying one or more other users of the social networking system that the first user engaged in the physical social interaction with the second user. 5. The method of claim 1 , wherein the baseline data profile corresponds to a plurality of profiles identified as corresponding to a physical social interaction by a plurality of users of the social networking system.
| 0.580175 |
43. The apparatus of claim 42 wherein said first marker audio data is delivered on said user interface as a selectable connection which when selected will enable said processor to deliver to said user interface said third marker visual data.
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43. The apparatus of claim 42 wherein said first marker audio data is delivered on said user interface as a selectable connection which when selected will enable said processor to deliver to said user interface said third marker visual data. 46. The apparatus of claim 43 wherein said second marker text is delivered on said user interface as a selectable connection which when selected will enable said processor to deliver to said user interface said first marker audio data.
| 0.877044 |
9. A computer program product comprising a non-transitory computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to: responsive to identifying an input question as an explanatory question, decompose the explanatory question into one or more explanatory queries; identify one or more passages within a corpus of information that comprise an explanatory clause that provides an explanatory answer to the explanatory question based on pre-determined explanatory clause terms, wherein a passage within the one or more passages within the corpus of information that comprises the explanatory clause is identified by the computer readable program further causing the computing device to: compare each identified clause within a passage to a set of previously identified explanatory clauses; and responsive to the identified clause within a passage corresponding to one of the set of previously identified explanatory clauses, tag the clause within the passage with an ‘EXPLANATORY’ tag; receive hypothesis evidence with one or passages comprising explanatory clauses from the corpus of information; generate one or more candidate explanatory answers based on hypothesis evidence; rank and merge the one or more candidate explanatory answers; and output the one or more candidate explanatory answers.
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9. A computer program product comprising a non-transitory computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to: responsive to identifying an input question as an explanatory question, decompose the explanatory question into one or more explanatory queries; identify one or more passages within a corpus of information that comprise an explanatory clause that provides an explanatory answer to the explanatory question based on pre-determined explanatory clause terms, wherein a passage within the one or more passages within the corpus of information that comprises the explanatory clause is identified by the computer readable program further causing the computing device to: compare each identified clause within a passage to a set of previously identified explanatory clauses; and responsive to the identified clause within a passage corresponding to one of the set of previously identified explanatory clauses, tag the clause within the passage with an ‘EXPLANATORY’ tag; receive hypothesis evidence with one or passages comprising explanatory clauses from the corpus of information; generate one or more candidate explanatory answers based on hypothesis evidence; rank and merge the one or more candidate explanatory answers; and output the one or more candidate explanatory answers. 12. The computer program product of claim 9 , wherein the computer readable program to identify the input question as the explanatory question further causes the computing device to: parse the input question for a beginning portion of the input question; compare the beginning portion of the input question to a predetermined set of explanatory question rules; and responsive to the input question corresponding to one of the predetermined set of explanatory question rules, tag the input question as an ‘EXPLANATORY’ question.
| 0.580094 |
5. A computer system for reducing diagnostic uncertainty using cross-referenced knowledge and image databases, comprising: a user-interface to solicit a plurality of characteristics of diagnoses from a user; a diagnostic engine operating under the programmatic control of the computer system and having access to the knowledge database, the knowledge database including a plurality of findings-diagnosis links representing relationships between findings and diagnoses, wherein said characteristics of diagnoses are employed to automatically identify, from the diagnoses for which data is stored in the knowledge database, a subset including a plurality of possible diagnoses from the knowledge database that are consistent with the characteristics; and using the subset of possible diagnoses identified from the findings-diagnosis links, automatically reorganizing an information space of the image database for presentation to the user, including concurrent presentation of a plurality of images on said user-interface for user review, the plurality of images being representative of at least two possible diagnoses.
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5. A computer system for reducing diagnostic uncertainty using cross-referenced knowledge and image databases, comprising: a user-interface to solicit a plurality of characteristics of diagnoses from a user; a diagnostic engine operating under the programmatic control of the computer system and having access to the knowledge database, the knowledge database including a plurality of findings-diagnosis links representing relationships between findings and diagnoses, wherein said characteristics of diagnoses are employed to automatically identify, from the diagnoses for which data is stored in the knowledge database, a subset including a plurality of possible diagnoses from the knowledge database that are consistent with the characteristics; and using the subset of possible diagnoses identified from the findings-diagnosis links, automatically reorganizing an information space of the image database for presentation to the user, including concurrent presentation of a plurality of images on said user-interface for user review, the plurality of images being representative of at least two possible diagnoses. 13. The system of claim 5 , wherein the system for reducing diagnostic uncertainty is applicable to and includes characteristics of diseases that have a dermatological manifestation.
| 0.597651 |
10. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving, by a speech recognition model training system and from a client device, a request to generate a new speech recognition model for the client device, wherein the request includes: (i) one or more features extracted from speech data by a feature extractor on the client device, and (ii) metadata regarding the speech recognition model to be generated; generating, by the speech recognition model training system and using the one or more features extracted from speech data by the feature extractor on the client device, the new speech recognition model according to the metadata; and transmitting, by the speech recognition model training system and to the client device, at least a portion of the new speech recognition model.
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10. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving, by a speech recognition model training system and from a client device, a request to generate a new speech recognition model for the client device, wherein the request includes: (i) one or more features extracted from speech data by a feature extractor on the client device, and (ii) metadata regarding the speech recognition model to be generated; generating, by the speech recognition model training system and using the one or more features extracted from speech data by the feature extractor on the client device, the new speech recognition model according to the metadata; and transmitting, by the speech recognition model training system and to the client device, at least a portion of the new speech recognition model. 18. The system of claim 10 , wherein generating a new speech recognition model includes updating an existing speech recognition model.
| 0.573394 |
11. A computer storage medium encoding computer executable instructions that when executed by one or more processors, cause the one or more processors to perform operations comprising: supplementing an image with metadata that identifies an object in the image; providing the metadata with the image when the image is rendered so that at least a portion of the image depicting the object is interactive, in order to enable a user to enter a selection input that corresponds to the object; and performing an action in response to detecting the selection input that corresponds to the object depicted in the image.
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11. A computer storage medium encoding computer executable instructions that when executed by one or more processors, cause the one or more processors to perform operations comprising: supplementing an image with metadata that identifies an object in the image; providing the metadata with the image when the image is rendered so that at least a portion of the image depicting the object is interactive, in order to enable a user to enter a selection input that corresponds to the object; and performing an action in response to detecting the selection input that corresponds to the object depicted in the image. 14. The computer storage medium of claim 11 , further comprising instructions for performing a search of other images using a search criteria that specifies the object of the selection input.
| 0.528531 |
14. A method performed by one or more computers, the method comprising: receiving, from a log of user entry strings, a plurality of pairs of successive user entry strings, in which a second user entry string, of each respective pair of successive user entry strings, corresponds to a refinement of a first user entry string of the respective pair of successive user entry strings; parsing each of the first user entry string and the second user entry string, of a respective pair of successive user entry strings, into one or more tokens; discarding, from logging an association, pairs of successive user entry strings, in which tokens of the second user entry string of the pair of successive user entry strings are substantially a subset of tokens of the first user entry string of the pair of successive user entry strings; generating a third string, for a non-discarded pair of successive user entry strings, comprising at least one natural-language refinement adapted to produce the second user entry string of the non-discarded pair of successive user entry strings when applied to the first user entry string of the non-discarded pair of successive user entry strings; and logging the association of the non-discarded pair of user entry strings and the generated third string.
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14. A method performed by one or more computers, the method comprising: receiving, from a log of user entry strings, a plurality of pairs of successive user entry strings, in which a second user entry string, of each respective pair of successive user entry strings, corresponds to a refinement of a first user entry string of the respective pair of successive user entry strings; parsing each of the first user entry string and the second user entry string, of a respective pair of successive user entry strings, into one or more tokens; discarding, from logging an association, pairs of successive user entry strings, in which tokens of the second user entry string of the pair of successive user entry strings are substantially a subset of tokens of the first user entry string of the pair of successive user entry strings; generating a third string, for a non-discarded pair of successive user entry strings, comprising at least one natural-language refinement adapted to produce the second user entry string of the non-discarded pair of successive user entry strings when applied to the first user entry string of the non-discarded pair of successive user entry strings; and logging the association of the non-discarded pair of user entry strings and the generated third string. 16. The method of claim 14 , where each pair of successive user entry strings, of the plurality of pairs of successive user entry strings, was logged in the log of user entry strings within a respective period of time.
| 0.627103 |
1. A synergetic training device comprising soundproof booths equipped with teaching means and technical means; a lighting line and a sensor system comprising sensors, said device being controlled with a central manual control panel through cables and with an outer computer of a central control unit through a combined wire and wireless method, wherein the sensor system further comprises photonic elements with microcircuits produced by printing in conducting inks on a flexible substrate, said photonic elements being firmly fixed on a suspended floor and controlled in two ways: independently by a special processor of the photonic elements using internal wire/wireless connections, and concurrently by the outer computer of the central control unit using a wireless connection; wherein said device has a roof with a lighting system comprising photonic lamps; drives; microcircuits of the photonic elements; and the outer computer of the central control unit; wherein the booths are sphere segments combined in a circle consisting of two work elements, a central element and an outer element, wherein the central element comprises an inner metal wheel and a central part of the suspended floor with the photonic elements, central parts of soundproof partitions between the booths and an inner row of seats all firmly fixed to said inner metal wheel, and the outer element comprises an outer metal wheel and an outer part of the suspended floor with the photonic elements, the outer parts of the soundproof partitions and an outer row of seats, tables with raising tops and technical means all firmly fixed to said outer metal wheel, wherein said work elements can rotate independently in a predetermined mode, and when one work element rotates, the other remains stationary; and wherein each of said booths comprises a set of technical means including at least one of the following: a set of audio means, a personal computer, and a common training apparatus including a control panel and a display.
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1. A synergetic training device comprising soundproof booths equipped with teaching means and technical means; a lighting line and a sensor system comprising sensors, said device being controlled with a central manual control panel through cables and with an outer computer of a central control unit through a combined wire and wireless method, wherein the sensor system further comprises photonic elements with microcircuits produced by printing in conducting inks on a flexible substrate, said photonic elements being firmly fixed on a suspended floor and controlled in two ways: independently by a special processor of the photonic elements using internal wire/wireless connections, and concurrently by the outer computer of the central control unit using a wireless connection; wherein said device has a roof with a lighting system comprising photonic lamps; drives; microcircuits of the photonic elements; and the outer computer of the central control unit; wherein the booths are sphere segments combined in a circle consisting of two work elements, a central element and an outer element, wherein the central element comprises an inner metal wheel and a central part of the suspended floor with the photonic elements, central parts of soundproof partitions between the booths and an inner row of seats all firmly fixed to said inner metal wheel, and the outer element comprises an outer metal wheel and an outer part of the suspended floor with the photonic elements, the outer parts of the soundproof partitions and an outer row of seats, tables with raising tops and technical means all firmly fixed to said outer metal wheel, wherein said work elements can rotate independently in a predetermined mode, and when one work element rotates, the other remains stationary; and wherein each of said booths comprises a set of technical means including at least one of the following: a set of audio means, a personal computer, and a common training apparatus including a control panel and a display. 14. The device according to claim 1 wherein the lighting system comprises the photonic lamps, the drives, and a head computer of an inner computer line.
| 0.851167 |
9. The method of claim 1 , further comprising modifying one or more compound terms in the first language that include the key term in the first language and the one or more compound terms in the second language.
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9. The method of claim 1 , further comprising modifying one or more compound terms in the first language that include the key term in the first language and the one or more compound terms in the second language. 10. The method of claim 9 , further comprising stemming the one or more compound terms in the first language that include the key term in the first language and the one or more compound terms in the second language.
| 0.88582 |
2. The method of claim 1 , wherein selecting the one or more of the sentences of the document based on their respective first, second and third counts, comprises: sorting the sentences of the document in declining order of their respective counts; and selecting a number of the sentences of the document having the highest counts.
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2. The method of claim 1 , wherein selecting the one or more of the sentences of the document based on their respective first, second and third counts, comprises: sorting the sentences of the document in declining order of their respective counts; and selecting a number of the sentences of the document having the highest counts. 3. The method of claim 2 , wherein sorting the sentences of the document in declining order of their respective counts, comprises: the first count of the query phrase constituting a primary sort key; the second count constituting a secondary sort key; and the third count constituting a tertiary sort key.
| 0.900649 |
22. The apparatus of claim 21 wherein the semantic unit is a word in a human language.
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22. The apparatus of claim 21 wherein the semantic unit is a word in a human language. 27. The apparatus of claim 22 wherein the processor selects, as a word, characters bracketed by one or more of whitespace and punctuation.
| 0.880068 |
1. A computer system for converting a computer aided design drawing file of an electrical power system comprising a plurality of components into one or more component objects for power analytic analysis and simulation, the computer system comprising: at least one processor; a memory; at least one executable software module configured to, when executed by the at least one processor, import the computer aided design drawing file to the memory, parse the computer aided design drawing file into a plurality of component objects corresponding to the plurality of components of the electrical power system, each of the plurality of component objects comprising a component symbol, assign a component classification to the component symbol of each of the plurality of component objects, wherein the component classification comprises one or more attributes which define at least one of an electrical characteristic, connectivity characteristic, and interdependency characteristic of the associated component object, receive a modification of one or more attributes of a component classification, and update the computer aided design drawing file based on the modification; a virtual system model of the electrical power system, wherein the virtual system model comprises virtual component data corresponding to the plurality of components of the electrical power system; and an analytics engine configured to monitor real-time data from one or more sensors interfaced with the electrical power system, monitor predicted operational data generated using the virtual system model, synchronize the virtual system model in real-time based on a difference between the real-time data and the predicted operational data, and update the virtual system model based on the updated computer aided design drawing file.
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1. A computer system for converting a computer aided design drawing file of an electrical power system comprising a plurality of components into one or more component objects for power analytic analysis and simulation, the computer system comprising: at least one processor; a memory; at least one executable software module configured to, when executed by the at least one processor, import the computer aided design drawing file to the memory, parse the computer aided design drawing file into a plurality of component objects corresponding to the plurality of components of the electrical power system, each of the plurality of component objects comprising a component symbol, assign a component classification to the component symbol of each of the plurality of component objects, wherein the component classification comprises one or more attributes which define at least one of an electrical characteristic, connectivity characteristic, and interdependency characteristic of the associated component object, receive a modification of one or more attributes of a component classification, and update the computer aided design drawing file based on the modification; a virtual system model of the electrical power system, wherein the virtual system model comprises virtual component data corresponding to the plurality of components of the electrical power system; and an analytics engine configured to monitor real-time data from one or more sensors interfaced with the electrical power system, monitor predicted operational data generated using the virtual system model, synchronize the virtual system model in real-time based on a difference between the real-time data and the predicted operational data, and update the virtual system model based on the updated computer aided design drawing file. 23. The computer system for converting a computer aided design drawing file of an electrical power system into one or more component objects for power analytic analysis and simulation, as recited in claim 1 , wherein the at least one executable software module is further configured to export the updated computer aided design drawing file to a storage device that is communicatively connected to the memory.
| 0.5 |
6. The method of claim 2 wherein selecting nodes comprises selecting fewer than all of the nodes in the initial parse structure.
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6. The method of claim 2 wherein selecting nodes comprises selecting fewer than all of the nodes in the initial parse structure. 7. The method of claim 6 wherein selecting fewer than all of the nodes comprises selecting a top node of a sub-structure but not the nodes in the sub-structure that are below the top node.
| 0.958895 |
1. A system comprising: at least one processor and executable instructions accessible on a computer-readable medium that, when executed, cause the at least one processor to perform operations comprising: receiving, over a network at a social shopping platform, a request from a user in a first community of users, the social shopping platform including a plurality of network-based marketplaces respectively associated with a plurality of communities, the plurality of communities including the first community of users that is associated with a first network-based marketplace; identifying the first network-based marketplace from the plurality of network-based marketplaces based on the request, the request including an activity associated with the first network-based marketplace, the first network-based marketplace being used by the first community of users for transacting items of a single domain, the activity identifying a first logical row of component information in a component table based on the request, the component table being a logical table comprised of a plurality of logical rows, the first logical row of component information describing at least one user interface element for personalizing at least one user interface including a first user interface, the logical table further comprised of a plurality of logical columns intersecting the plurality of logical rows to define a plurality of logical cells, the plurality of logical columns describing information received from at least one user in the first community of users and component reputation scoring that is generated based on the information received from at least one user in the first community of users; communicating the first user interface, over the network, for display on a client machine, the first user interface being personalized with the at least one user interface element; updating a component reputation score based on the activity associated with the first network-based marketplace and; updating a user reputation score based on the component reputation score.
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1. A system comprising: at least one processor and executable instructions accessible on a computer-readable medium that, when executed, cause the at least one processor to perform operations comprising: receiving, over a network at a social shopping platform, a request from a user in a first community of users, the social shopping platform including a plurality of network-based marketplaces respectively associated with a plurality of communities, the plurality of communities including the first community of users that is associated with a first network-based marketplace; identifying the first network-based marketplace from the plurality of network-based marketplaces based on the request, the request including an activity associated with the first network-based marketplace, the first network-based marketplace being used by the first community of users for transacting items of a single domain, the activity identifying a first logical row of component information in a component table based on the request, the component table being a logical table comprised of a plurality of logical rows, the first logical row of component information describing at least one user interface element for personalizing at least one user interface including a first user interface, the logical table further comprised of a plurality of logical columns intersecting the plurality of logical rows to define a plurality of logical cells, the plurality of logical columns describing information received from at least one user in the first community of users and component reputation scoring that is generated based on the information received from at least one user in the first community of users; communicating the first user interface, over the network, for display on a client machine, the first user interface being personalized with the at least one user interface element; updating a component reputation score based on the activity associated with the first network-based marketplace and; updating a user reputation score based on the component reputation score. 9. The system of claim 1 , wherein the operations further comprise updating the user reputation score responsive to receipt of the request.
| 0.513259 |
31. Apparatus comprising: at least one processor; and at least one storage medium storing processor-executable instructions that, when executed by the at least one processor, perform a method comprising: transcribing audio data comprising audio of one or more clinical personnel speaking while performing a surgical procedure, the audio data comprising audio of a first clinician speaking to one or more other clinical personnel while performing the surgical procedure; analyzing the transcribed audio data, including the transcribed audio of the first clinician speaking to the one or more other clinical personnel while performing the surgical procedure, at least in part by automatically extracting one or more clinical facts from the transcribed audio data, to identify relevant information for documenting the surgical procedure, wherein analyzing the transcribed audio data comprises identifying within the transcribed audio data a present-tense narration by the first clinician stating to the other clinical personnel that the first clinician is currently performing a particular step of the surgical procedure; automatically generating a text report including the relevant information documenting the surgical procedure, wherein automatically generating the text report comprises automatically transforming the present-tense narration into a non-present-tense text portion in the report, stating that the particular step of the surgical procedure was performed; and outputting the automatically generated text report for review via a user interface on an audio and/or visual display device.
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31. Apparatus comprising: at least one processor; and at least one storage medium storing processor-executable instructions that, when executed by the at least one processor, perform a method comprising: transcribing audio data comprising audio of one or more clinical personnel speaking while performing a surgical procedure, the audio data comprising audio of a first clinician speaking to one or more other clinical personnel while performing the surgical procedure; analyzing the transcribed audio data, including the transcribed audio of the first clinician speaking to the one or more other clinical personnel while performing the surgical procedure, at least in part by automatically extracting one or more clinical facts from the transcribed audio data, to identify relevant information for documenting the surgical procedure, wherein analyzing the transcribed audio data comprises identifying within the transcribed audio data a present-tense narration by the first clinician stating to the other clinical personnel that the first clinician is currently performing a particular step of the surgical procedure; automatically generating a text report including the relevant information documenting the surgical procedure, wherein automatically generating the text report comprises automatically transforming the present-tense narration into a non-present-tense text portion in the report, stating that the particular step of the surgical procedure was performed; and outputting the automatically generated text report for review via a user interface on an audio and/or visual display device. 51. The apparatus of claim 31 , wherein the analyzing comprises identifying the relevant information based at least in part on patient monitoring data recorded using monitoring equipment during the surgical procedure.
| 0.651909 |
1. A reconfigurable multimedia collaboration system, comprising: a SIP engine implemented in hardware only that executes functions defined by Session Initiation Protocol (SIP); a XML engine implemented in hardware only that executes functions defined by Extensible Markup Language (XML); and an interface configured to receive an incoming data packet into a set of registers used to communicate with a software component and coordinates functions executed by the SIP engine and the XML engine, wherein the interface invokes the SIP engine to parse an incoming data packet, the SIP engine operates to parse the incoming data packet to determine a packet type for the incoming data packet in accordance with SIP and sends a response to the interface, such that the response depends on the packet type determined for the incoming data packet, and wherein the interface invokes the XML engine in response to a determination that the incoming data packet is formatted in accordance with Presence Information Data Format.
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1. A reconfigurable multimedia collaboration system, comprising: a SIP engine implemented in hardware only that executes functions defined by Session Initiation Protocol (SIP); a XML engine implemented in hardware only that executes functions defined by Extensible Markup Language (XML); and an interface configured to receive an incoming data packet into a set of registers used to communicate with a software component and coordinates functions executed by the SIP engine and the XML engine, wherein the interface invokes the SIP engine to parse an incoming data packet, the SIP engine operates to parse the incoming data packet to determine a packet type for the incoming data packet in accordance with SIP and sends a response to the interface, such that the response depends on the packet type determined for the incoming data packet, and wherein the interface invokes the XML engine in response to a determination that the incoming data packet is formatted in accordance with Presence Information Data Format. 5. The reconfigurable multimedia collaboration system of claim 1 wherein the interface invokes the XML engine for data packets that update presence information for a session participant.
| 0.537037 |
7. The method of claim 1 including: providing a training set having, for each of a plurality of hierarchies of documents, a classification for that hierarchy of documents and a feature derived from a root document of that hierarchy of documents; and after generating the aggregate feature for the root document, adding the aggregate feature of the root document to the training set to represent a feature for the hierarchy of documents.
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7. The method of claim 1 including: providing a training set having, for each of a plurality of hierarchies of documents, a classification for that hierarchy of documents and a feature derived from a root document of that hierarchy of documents; and after generating the aggregate feature for the root document, adding the aggregate feature of the root document to the training set to represent a feature for the hierarchy of documents. 8. The method of claim 7 including training a classifier using the training set with the added aggregate feature.
| 0.886226 |
9. The non-transitory computer readable medium of claim 8 , wherein the merging comprises merging the at least two particular pairs in response to determining that the particular pairs have at least one text fragment in common.
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9. The non-transitory computer readable medium of claim 8 , wherein the merging comprises merging the at least two particular pairs in response to determining that the particular pairs have at least one text fragment in common. 10. The non-transitory computer readable medium of claim 9 , wherein the method further comprises: generating an n-tuple representation of each text fragment of the at least a subset of the pairs.
| 0.864472 |
10. A display apparatus comprising: an input unit configured to receive an uttered voice of a user; a display configured to display a voice recognition result of the uttered voice; a voice processor configured to extract voice information from the uttered voice, compare the voice information to information associated with words in a pronunciation dictionary, and, based on reliabilities associated with the comparing, determine similar words which are similar to words in the uttered voice; and a controller configured to set, as a target word with respect to the uttered voice, a word satisfying a predetermined condition, control the display to display one or both of the target word and a similar word list including one or more of the similar words other than the target word, set an execution command, and adjust a critical value assigned to the similar word set as the execution command from among the plurality of similar words including the target word, wherein, in response to an execution command not being received for a predetermined critical time or in response to a selection command with respect to the target word being received, setting the execution command comprises setting the target word as the execution command.
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10. A display apparatus comprising: an input unit configured to receive an uttered voice of a user; a display configured to display a voice recognition result of the uttered voice; a voice processor configured to extract voice information from the uttered voice, compare the voice information to information associated with words in a pronunciation dictionary, and, based on reliabilities associated with the comparing, determine similar words which are similar to words in the uttered voice; and a controller configured to set, as a target word with respect to the uttered voice, a word satisfying a predetermined condition, control the display to display one or both of the target word and a similar word list including one or more of the similar words other than the target word, set an execution command, and adjust a critical value assigned to the similar word set as the execution command from among the plurality of similar words including the target word, wherein, in response to an execution command not being received for a predetermined critical time or in response to a selection command with respect to the target word being received, setting the execution command comprises setting the target word as the execution command. 16. The apparatus as claimed in claim 10 , wherein the controller is configured to decrease a critical value of the similar word set as the execution command by a first adjustment value and to increase a critical value of the similar word set as the target word by a second adjustment value in response to a similar word included in the similar word list being set as an execution command.
| 0.5 |
1. A sentence parsing correction system comprising a computer processor, a display operatively linked therewith, and a user action element to effectuate select user actions in relation to display objects of said display, via user control and action signals, said computer processor receiving an input sentence signal encoding characters comprising a sentence and generating therefrom a meta-tag listing of text of the sentence and providing, according to a preselected parsing algorithm, an initial meta-tag listing signal encoding a parsed version of a noun, a verb, and phrases of the sentence, said computer processor selectively configurable as a display element in furtherance of receiving said initial meta-tag listing signal, and producing a parsed image display signal for displaying upon said display, said parsed image display signal displayed upon said display such that the text of the sentence is arranged in original text order, and has, on successive lines, the noun, the verb, and phrases of the sentence with indentations specifying parsing relationships among them, said computer processor further selectively configurable as a format element in furtherance of receiving said parsed image display signal, and creating a unique expandable container image for each phrase of the phrases of the sentence in an expandable container format, said expandable container format encoded in an expandable container format signal, said computer further selectively configurable as a correction element in furtherance of receiving said expandable container format signal and said user control and action signals, selecting a display object of said display objects wherein said display object comprises a unique expandable container image of a phrase of the phrases of the sentence, and altering a property of said display object and/or a relationship for said display object relative to other display objects and thereafter providing a display signal creating an image in furtherance of producing a final parsed image display signal creating on said display an altered parsing characterized by a topology for and between each unique expandable container image relative to other unique expandable container images wherein the sentence text has, on successive lines, the noun, the verb, and prepositional phrases of the sentence with indentations specifying the altered parsing.
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1. A sentence parsing correction system comprising a computer processor, a display operatively linked therewith, and a user action element to effectuate select user actions in relation to display objects of said display, via user control and action signals, said computer processor receiving an input sentence signal encoding characters comprising a sentence and generating therefrom a meta-tag listing of text of the sentence and providing, according to a preselected parsing algorithm, an initial meta-tag listing signal encoding a parsed version of a noun, a verb, and phrases of the sentence, said computer processor selectively configurable as a display element in furtherance of receiving said initial meta-tag listing signal, and producing a parsed image display signal for displaying upon said display, said parsed image display signal displayed upon said display such that the text of the sentence is arranged in original text order, and has, on successive lines, the noun, the verb, and phrases of the sentence with indentations specifying parsing relationships among them, said computer processor further selectively configurable as a format element in furtherance of receiving said parsed image display signal, and creating a unique expandable container image for each phrase of the phrases of the sentence in an expandable container format, said expandable container format encoded in an expandable container format signal, said computer further selectively configurable as a correction element in furtherance of receiving said expandable container format signal and said user control and action signals, selecting a display object of said display objects wherein said display object comprises a unique expandable container image of a phrase of the phrases of the sentence, and altering a property of said display object and/or a relationship for said display object relative to other display objects and thereafter providing a display signal creating an image in furtherance of producing a final parsed image display signal creating on said display an altered parsing characterized by a topology for and between each unique expandable container image relative to other unique expandable container images wherein the sentence text has, on successive lines, the noun, the verb, and prepositional phrases of the sentence with indentations specifying the altered parsing. 2. The system of claim 1 wherein said unique expandable container image includes the phrase and a decoration.
| 0.54516 |
1. An article of manufacture including a non-transitory computer readable storage medium to tangibly store instructions, which when executed by a computer, cause the computer to: receive at least one Kana character from a user; apply a Kana rule set to the at least one Kana character; define the at least one Kana character in an alphabetic language based on a sound of the at least one Kana character; generate a full phonetic key for the defined at least one Kana character; generate a replaced-vowel phonetic key by replacing a vowel in the full phonetic key; generate a no-vowel phonetic key by removing the vowel in the full phonetic key; process Kana records in a database to determine a relevant Kana record that has a phonetic key identical to at least one of the full phonetic key, the replaced-vowel phonetic key, and the no-vowel phonetic key; and present the relevant Kana record to the user.
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1. An article of manufacture including a non-transitory computer readable storage medium to tangibly store instructions, which when executed by a computer, cause the computer to: receive at least one Kana character from a user; apply a Kana rule set to the at least one Kana character; define the at least one Kana character in an alphabetic language based on a sound of the at least one Kana character; generate a full phonetic key for the defined at least one Kana character; generate a replaced-vowel phonetic key by replacing a vowel in the full phonetic key; generate a no-vowel phonetic key by removing the vowel in the full phonetic key; process Kana records in a database to determine a relevant Kana record that has a phonetic key identical to at least one of the full phonetic key, the replaced-vowel phonetic key, and the no-vowel phonetic key; and present the relevant Kana record to the user. 5. The article of manufacture of claim 1 , wherein the Kana rule set comprises: if the at least one Kana character includes two or more identical and adjoining small form vowel characters, retaining only one of the small form vowel characters; if the at least one Kana character includes a first small form character followed by a second small form character, converting the second small form character into a large form character; and if the at least one Kana character includes a small form character followed by a succeeding large form character of a same character, omitting the small form character.
| 0.5625 |
2. The method of claim 1 wherein the plurality of first terms and the plurality of second terms are of a same language.
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2. The method of claim 1 wherein the plurality of first terms and the plurality of second terms are of a same language. 5. The method of claim 2 wherein the first category is a profession-specific category and the second category is a layman category.
| 0.945183 |
14. The method of claim 1 , further comprising performing, before performing the acts of claim 1 : for each of the plurality of time periods, computing a matrix of associational usage scores among all words of a list of frequently occurring words; computing differences in the associational scores of two of the matrices to produce a difference matrix; producing a set of clusters of utterances based on similarity in associational usage scores of the difference matrix, to yield a produced set of clusters; and creating a plurality of word classes based on a result of producing a set of clusters of utterances, wherein: determining determines a significant word usage class change, and generating the first cluster comprises generating, from the examined utterances, a cluster of utterances having a word class corresponding to the significant word class change.
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14. The method of claim 1 , further comprising performing, before performing the acts of claim 1 : for each of the plurality of time periods, computing a matrix of associational usage scores among all words of a list of frequently occurring words; computing differences in the associational scores of two of the matrices to produce a difference matrix; producing a set of clusters of utterances based on similarity in associational usage scores of the difference matrix, to yield a produced set of clusters; and creating a plurality of word classes based on a result of producing a set of clusters of utterances, wherein: determining determines a significant word usage class change, and generating the first cluster comprises generating, from the examined utterances, a cluster of utterances having a word class corresponding to the significant word class change. 15. The method of claim 14 , further comprising: prioritizing the first cluster of utterances and the second cluster of utterances.
| 0.816726 |
1. A means for creating optimized elements of a device, comprising: (a) selecting an equation or set equations that models the behavior of the elements of a device; (b) selecting a range for each input variable in said equation or set of equations; (c) selecting the number of trials; (d) selecting the logical distribution function of each of the said input variables; (e) selecting at least two fuzzy level boundaries for each of the said phenomenon; (f) generating values for all of said input variables of all of said trials, within said input variable's said range and within said logical distribution, using Monte Carlo simulations; (g) solving said equation or equations to produce outputs to produce a Meta Model; (h) increasing or decreasing the generated values of one of said input variables by fixed increments for each of said trials; (i) solving said equation or equations using the incremented or decremented values of one of said input values; (j) identifying the fuzzy level placement within said fuzzy level boundary for each of said outputs generated using said incremented or decremented input values for each of said trials; (k) calculating the probability of said fuzzy level placement for one of said outputs by dividing the number of said outputs at each of the said fuzzy levels by the number of said trials; (l) categorizing said fuzzy level placements for said output as indicating a positive or negative correlation; (m) categorizing the magnitude of said fuzzy level placement when there are more than two of the said fuzzy level boundaries; (n) repeating the process steps h through m for each of the remaining input variables; (o) mapping said correlations and said probabilities of the relationships between said input variables and phenomena in the form of a fuzzy cognitive map; and (p) adjusting the characteristics of said elements of said device, in accordance with said fuzzy cognitive map.
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1. A means for creating optimized elements of a device, comprising: (a) selecting an equation or set equations that models the behavior of the elements of a device; (b) selecting a range for each input variable in said equation or set of equations; (c) selecting the number of trials; (d) selecting the logical distribution function of each of the said input variables; (e) selecting at least two fuzzy level boundaries for each of the said phenomenon; (f) generating values for all of said input variables of all of said trials, within said input variable's said range and within said logical distribution, using Monte Carlo simulations; (g) solving said equation or equations to produce outputs to produce a Meta Model; (h) increasing or decreasing the generated values of one of said input variables by fixed increments for each of said trials; (i) solving said equation or equations using the incremented or decremented values of one of said input values; (j) identifying the fuzzy level placement within said fuzzy level boundary for each of said outputs generated using said incremented or decremented input values for each of said trials; (k) calculating the probability of said fuzzy level placement for one of said outputs by dividing the number of said outputs at each of the said fuzzy levels by the number of said trials; (l) categorizing said fuzzy level placements for said output as indicating a positive or negative correlation; (m) categorizing the magnitude of said fuzzy level placement when there are more than two of the said fuzzy level boundaries; (n) repeating the process steps h through m for each of the remaining input variables; (o) mapping said correlations and said probabilities of the relationships between said input variables and phenomena in the form of a fuzzy cognitive map; and (p) adjusting the characteristics of said elements of said device, in accordance with said fuzzy cognitive map. 8. A means for creating optimized elements of a device as in claim 1 , wherein adjusting the characteristics of said elements of said device, in accordance with said fuzzy cognitive map, is done by changing the dimensions of a part of a device.
| 0.500245 |
1. A security analysis tool, comprising: a processor; and a memory communicatively coupled to the processor and having stored thereon computer-executable components configured to implement the security analysis tool, the computer-executable components comprising: a learning component that monitors communication of data associated with an I/O table of an industrial controller of an automation system during a training period and generates a learned pattern of communication, wherein the I/O table stores input data received by the industrial controller from a controlled device via an I/O device and output data provided by the industrial controller to the controlled device via the I/O device; and an analyzer component that monitors data traffic subsequent to the training period and generates one or more security outputs in response to a determination that a current pattern of the data traffic deviates from the learned pattern in excess of an acceptable deviation, the one or more security outputs comprising at least one output that alters the data traffic between the industrial controller and the I/O device.
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1. A security analysis tool, comprising: a processor; and a memory communicatively coupled to the processor and having stored thereon computer-executable components configured to implement the security analysis tool, the computer-executable components comprising: a learning component that monitors communication of data associated with an I/O table of an industrial controller of an automation system during a training period and generates a learned pattern of communication, wherein the I/O table stores input data received by the industrial controller from a controlled device via an I/O device and output data provided by the industrial controller to the controlled device via the I/O device; and an analyzer component that monitors data traffic subsequent to the training period and generates one or more security outputs in response to a determination that a current pattern of the data traffic deviates from the learned pattern in excess of an acceptable deviation, the one or more security outputs comprising at least one output that alters the data traffic between the industrial controller and the I/O device. 13. The security analysis tool of claim 1 , wherein the analyzer component further performs an automated action that disables network requests from at least one outside network in response to detecting that the current pattern of the data traffic deviates from the learned pattern in excess of the acceptable deviation.
| 0.647536 |
10. A storage medium encoded with machine-readable computer program code for providing web-based electronic research and presentation functions via a document creation application, the storage medium including instructions for causing a computer to implement a method, comprising: scanning an active document on a computer device operable for identifying relevant keywords; searching at least one database for reference materials relating to the relevant keywords, the at least one database including an internal database and an external database; automatically displaying relevant reference materials on the computer device; converting the reference materials if the reference materials are in a format different from a format used in creating the active document; and displaying the reference materials on the computer device; wherein the active document includes data currently being entered or edited by a user on the computer device; and wherein the scanning an active document on a computer device operable for identifying relevant keywords is performed by an intelligent search agent, the method further including: scanning text of the active page for the active document for at least one of: frequently appearing terms; frequently appearing phrases; specific terms requested by the user; and context to determine relationships among terms within the active document; determining relevance of found terms or phrases resulting from the scanning, the determining relevance of found terms or phrases based upon rules prescribed by the intelligent agent, the relevance of the found terms is determined by comparing the found terms to a list of terms stored in a temporary storage, the list of terms comprising frequently occurring words and terms specified by the user; and storing relevant results in a temporary storage location operable for performing the searching, the method further comprising on demand sharing of process software for providing the web-based electronic research and presentation functions via a document creation application, the on demand sharing comprising: creating a transaction containing unique customer identification, requested service type, and service parameters; sending the transaction to at least one main server; querying the at least one main server about processing capacity associated with the at least one main server to help ensure availability of adequate resources for processing of the transaction; and allocating additional processing capacity in response to determining that the main server does not have the adequate resources to process the transaction, the additional processing capacity being selected from the group of additional capacities consisting of central processing unit capacity, processor memory capacity, network bandwidth capacity, and storage capacity.
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10. A storage medium encoded with machine-readable computer program code for providing web-based electronic research and presentation functions via a document creation application, the storage medium including instructions for causing a computer to implement a method, comprising: scanning an active document on a computer device operable for identifying relevant keywords; searching at least one database for reference materials relating to the relevant keywords, the at least one database including an internal database and an external database; automatically displaying relevant reference materials on the computer device; converting the reference materials if the reference materials are in a format different from a format used in creating the active document; and displaying the reference materials on the computer device; wherein the active document includes data currently being entered or edited by a user on the computer device; and wherein the scanning an active document on a computer device operable for identifying relevant keywords is performed by an intelligent search agent, the method further including: scanning text of the active page for the active document for at least one of: frequently appearing terms; frequently appearing phrases; specific terms requested by the user; and context to determine relationships among terms within the active document; determining relevance of found terms or phrases resulting from the scanning, the determining relevance of found terms or phrases based upon rules prescribed by the intelligent agent, the relevance of the found terms is determined by comparing the found terms to a list of terms stored in a temporary storage, the list of terms comprising frequently occurring words and terms specified by the user; and storing relevant results in a temporary storage location operable for performing the searching, the method further comprising on demand sharing of process software for providing the web-based electronic research and presentation functions via a document creation application, the on demand sharing comprising: creating a transaction containing unique customer identification, requested service type, and service parameters; sending the transaction to at least one main server; querying the at least one main server about processing capacity associated with the at least one main server to help ensure availability of adequate resources for processing of the transaction; and allocating additional processing capacity in response to determining that the main server does not have the adequate resources to process the transaction, the additional processing capacity being selected from the group of additional capacities consisting of central processing unit capacity, processor memory capacity, network bandwidth capacity, and storage capacity. 15. The storage medium of claim 10 , wherein displaying the reference materials on the computer device includes at least one of: intermittently flashing text of the reference materials on a computer screen of the computer device; displaying a Uniform Resource Locator associated with the reference materials on a computer screen of the computer device; displaying a Uniform Resource Locator with a preview pane associated with the reference materials on a computer screen of the computer device; displaying text of the reference materials on a computer screen of the computer device in response to a user highlighting a term or section of text within the active document; displaying images of the reference materials on a computer screen of the computer device in response to a user highlighting a term or section of text within the active document; and displaying images in a preview pane of the reference materials on a computer screen of the computer device in response to a user highlighting a term or section of text within the active document.
| 0.5 |
14. The method of claim 10 , wherein the feature is a continuous feature.
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14. The method of claim 10 , wherein the feature is a continuous feature. 15. The method of claim 14 , wherein the continuous feature is one or more of an utterance audio duration, a latency of producing speech recognition results, or a time of day.
| 0.928515 |
1. A method comprising: performing by one or more computers: identifying a first group of users of a plurality of users wherein each of the users in the first group has a respective likeness score in relation to a first user that satisfies a threshold, and wherein each user of the first group is permitted to send anonymous messages through a respective account to the first user; identifying a plurality of anonymous messages received in an account of the first user, each anonymous message having been authored by a respective user of the first group and, via a user interface, including a selectable icon for the first user to provide a positive response to the anonymous message and a different selectable icon for the first user to provide a negative response to the anonymous message; and in response to receiving a user input of the first user with a selection of the icon indicating the negative response to a particular anonymous message, removing an author of the particular anonymous message from the first group such that the author is no longer permitted to send anonymous messages to the first user through the account of the author.
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1. A method comprising: performing by one or more computers: identifying a first group of users of a plurality of users wherein each of the users in the first group has a respective likeness score in relation to a first user that satisfies a threshold, and wherein each user of the first group is permitted to send anonymous messages through a respective account to the first user; identifying a plurality of anonymous messages received in an account of the first user, each anonymous message having been authored by a respective user of the first group and, via a user interface, including a selectable icon for the first user to provide a positive response to the anonymous message and a different selectable icon for the first user to provide a negative response to the anonymous message; and in response to receiving a user input of the first user with a selection of the icon indicating the negative response to a particular anonymous message, removing an author of the particular anonymous message from the first group such that the author is no longer permitted to send anonymous messages to the first user through the account of the author. 2. The method of claim 1 , further comprising: after removal of the author from the first group, determining respective likeness scores of one or more particular users in relation to the first user and, based thereon, adding the particular users to the first group or removing the particular users from the first group.
| 0.521061 |
18. The method of claim 17 , wherein the account for associating with the batch total is determined based on the associated source identification information.
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18. The method of claim 17 , wherein the account for associating with the batch total is determined based on the associated source identification information. 19. The method of claim 18 further comprising comparing the batch total with a prestored total that was previously stored in the associated account.
| 0.952478 |
1. A method for processing a corpus of documents having a multi-level transitive linkage structure with other documents, comprising: providing a computer-implemented generative model based on at least parameters estimated by probabilistic inference, which models a content of each document in the document database based on at least (i) an intrinsic content of each respective document; and (ii) a content of related documents linked to each respective document through the multi-level transitive linkage structure, the computer-implemented generative model representing the content of each respective document as at least a mixture over latent topics having topic distributions which are a mixture of distributions associated with the related documents comprising at least a mixture weighting of the intrinsic content of each respective document and the content of related documents linked to each respective document through the multi-level transitive linkage structure; at least one of representing, characterizing, clustering, summarizing, indexing, ranking, and searching the documents in the corpus of documents with at least one automated processor based on at least the computer-implemented generative model; and controlling a human machine interface of an information processing system to receive a user input, and selectively dependent on the user input and the at least one of representing, characterizing, clustering, summarizing, indexing, ranking, and searching of the documents in the corpus of documents, to output a representation of a relationship of a plurality of respective documents.
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1. A method for processing a corpus of documents having a multi-level transitive linkage structure with other documents, comprising: providing a computer-implemented generative model based on at least parameters estimated by probabilistic inference, which models a content of each document in the document database based on at least (i) an intrinsic content of each respective document; and (ii) a content of related documents linked to each respective document through the multi-level transitive linkage structure, the computer-implemented generative model representing the content of each respective document as at least a mixture over latent topics having topic distributions which are a mixture of distributions associated with the related documents comprising at least a mixture weighting of the intrinsic content of each respective document and the content of related documents linked to each respective document through the multi-level transitive linkage structure; at least one of representing, characterizing, clustering, summarizing, indexing, ranking, and searching the documents in the corpus of documents with at least one automated processor based on at least the computer-implemented generative model; and controlling a human machine interface of an information processing system to receive a user input, and selectively dependent on the user input and the at least one of representing, characterizing, clustering, summarizing, indexing, ranking, and searching of the documents in the corpus of documents, to output a representation of a relationship of a plurality of respective documents. 4. The method according to claim 1 , wherein the multi-level transitive citation structure comprises at least one of citations, authors, cross references, and hyperlinks.
| 0.566054 |
1. A computer-implemented process, comprising: receiving, in a computer memory: data identifying entities described in a document, wherein the document includes a plurality of tokens appearing in an order in the document, and data defining sentiment values assigned to the tokens in the document; and processing the data in the computer memory with a processor to assign a sentiment value to one of the identified entities in the document, by: applying a filter to a sequence of the sentiment values corresponding to a sequence of the tokens in the order the tokens appear in the document, the filter having a width defined by a number of tokens, the entity having a position in the sequence of tokens, the filter providing a combination of contributions of the sentiment values associated with the tokens surrounding the position of the entity in the document within the width of the filter.
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1. A computer-implemented process, comprising: receiving, in a computer memory: data identifying entities described in a document, wherein the document includes a plurality of tokens appearing in an order in the document, and data defining sentiment values assigned to the tokens in the document; and processing the data in the computer memory with a processor to assign a sentiment value to one of the identified entities in the document, by: applying a filter to a sequence of the sentiment values corresponding to a sequence of the tokens in the order the tokens appear in the document, the filter having a width defined by a number of tokens, the entity having a position in the sequence of tokens, the filter providing a combination of contributions of the sentiment values associated with the tokens surrounding the position of the entity in the document within the width of the filter. 7. The computer-implemented process of claim 1 , further comprising: receiving, in the computer memory, data defining a sentiment model; processing the data in the computer memory with a processor to assign a sentiment value to each phrase in the document according to the sentiment model.
| 0.596512 |
4. The system of claim 3 , wherein each of said guidelines for revising said created content include a plurality of selectable options to generate said at least one new targeted content from said created content, and whereby multiple documents having said at least one new targeted content are generated based on a single document having said created content.
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4. The system of claim 3 , wherein each of said guidelines for revising said created content include a plurality of selectable options to generate said at least one new targeted content from said created content, and whereby multiple documents having said at least one new targeted content are generated based on a single document having said created content. 7. The system of claim 4 , wherein said mediums guidelines comprises a plurality of selectable options comprising at least one of article, blog post, case study, email, press release, sales sheet and white paper, for revising content for a particular medium.
| 0.893721 |
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