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5. A method according to claim 1 , further comprising: compiling aliases for one or more terms in the glossary associated with the newly tagged document, wherein each alias comprises an alternative reference for one of the terms.
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5. A method according to claim 1 , further comprising: compiling aliases for one or more terms in the glossary associated with the newly tagged document, wherein each alias comprises an alternative reference for one of the terms. 6. A method according to claim 5 , further comprising: displaying the terms, definitions, and aliases in the glossary associated with the newly tagged document during an occurrence of one of the terms in the untagged document.
| 0.915066 |
1. A computer implemented method for tagging Natural language application comprising: analyzing utterances using one or more rules; assigning a tag to the analyzed utterances based on the one or more rules by a tagging server; and generating at least a report based on the one or more rules to include a unique utterance for each tag, the unique utterance displayed in a descending order.
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1. A computer implemented method for tagging Natural language application comprising: analyzing utterances using one or more rules; assigning a tag to the analyzed utterances based on the one or more rules by a tagging server; and generating at least a report based on the one or more rules to include a unique utterance for each tag, the unique utterance displayed in a descending order. 6. The method according to claim 1 , wherein each rule includes three components comprising matching criteria, tag criteria, and priority assignment criteria.
| 0.566116 |
1. A computer-implemented method comprising: performing a first optical character recognition process with an optical character recognition engine on one or more pages of a document to generate a first output response for each of multiple writing systems that each comprise a character set that is associated with one or more natural languages, wherein the first optical character recognition process uses a first configuration of the optical character recognition engine, and wherein, the first configuration of the optical character recognition engine configures the optical character recognition engine to recognize, for each of the writing systems, a limited subset of characters from the character set of the writing system; using a trained classifier to identify, from among the multiple writing systems, a dominant writing system of the document based on the first output responses generated by the first optical character recognition process; after identifying the dominant writing system of the document and before selecting a dominant natural language of the document, reconfiguring the optical character recognition engine from the first configuration to a second configuration that is different from the first configuration, wherein the second configuration of the optical character recognition engine configures the optical character recognition engine to recognize the full character set that is associated with the one or more natural languages associated with the dominant writing system of the document; performing a second optical character recognition process with the reconfigured optical character recognition engine on one or more pages of the document to generate a second output response, wherein the second optical character recognition process uses the second configuration of the optical character recognition engine; and selecting the dominant natural language from the one or more natural languages associated with the dominant writing system by applying one or more statistical language models to the second output response.
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1. A computer-implemented method comprising: performing a first optical character recognition process with an optical character recognition engine on one or more pages of a document to generate a first output response for each of multiple writing systems that each comprise a character set that is associated with one or more natural languages, wherein the first optical character recognition process uses a first configuration of the optical character recognition engine, and wherein, the first configuration of the optical character recognition engine configures the optical character recognition engine to recognize, for each of the writing systems, a limited subset of characters from the character set of the writing system; using a trained classifier to identify, from among the multiple writing systems, a dominant writing system of the document based on the first output responses generated by the first optical character recognition process; after identifying the dominant writing system of the document and before selecting a dominant natural language of the document, reconfiguring the optical character recognition engine from the first configuration to a second configuration that is different from the first configuration, wherein the second configuration of the optical character recognition engine configures the optical character recognition engine to recognize the full character set that is associated with the one or more natural languages associated with the dominant writing system of the document; performing a second optical character recognition process with the reconfigured optical character recognition engine on one or more pages of the document to generate a second output response, wherein the second optical character recognition process uses the second configuration of the optical character recognition engine; and selecting the dominant natural language from the one or more natural languages associated with the dominant writing system by applying one or more statistical language models to the second output response. 7. The method of claim 1 , comprising: after selecting the dominant natural language, reconfiguring the optical character recognition engine from the second configuration to a third configuration that is different from the first configuration and the second configuration, wherein the third configuration of the optical character recognition engine is based at least in part on the selected dominant natural language; and performing a third optical character recognition process with the reconfigured optical character recognition engine on one or more pages of the document to generate a third output response, wherein the third optical character recognition process uses the third configuration of the optical character recognition engine.
| 0.562394 |
1. A method of speaker verification, the method comprising: identifying, by a processor, a target speaker's speech, using a known speaker voiceprint, from an audio recording that includes the target speaker's speech and a known speaker's speech, the known speaker voiceprint corresponding to the known speaker, wherein using the known speaker voiceprint includes enabling exclusion of speech segments of the known speaker's speech to reduce a total number of speech segments used to verify the target speaker's speech to improve accuracy with reduced processing time or power for verifying relative to having all speech segments of the target and known speaker's speech under consideration; and verifying, by the processor, the target speaker based on the target speaker's voiceprint, an accuracy of the known speaker voiceprint being higher relative to an accuracy of the target speaker's voiceprint.
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1. A method of speaker verification, the method comprising: identifying, by a processor, a target speaker's speech, using a known speaker voiceprint, from an audio recording that includes the target speaker's speech and a known speaker's speech, the known speaker voiceprint corresponding to the known speaker, wherein using the known speaker voiceprint includes enabling exclusion of speech segments of the known speaker's speech to reduce a total number of speech segments used to verify the target speaker's speech to improve accuracy with reduced processing time or power for verifying relative to having all speech segments of the target and known speaker's speech under consideration; and verifying, by the processor, the target speaker based on the target speaker's voiceprint, an accuracy of the known speaker voiceprint being higher relative to an accuracy of the target speaker's voiceprint. 7. The method of claim 1 , further comprising reporting a representation of the extracted target speaker's speech.
| 0.531153 |
9. A method for filtering, segmenting and recognizing objects, the method comprising an act of: causing one or more processors to execute instructions encoded on a non-transitory computer-readable medium, such that upon execution, the one or more processors perform operations of: down sampling a three-dimensional (3D) point cloud having a plurality of data points in 3D space to generate a down-sampled 3D point cloud P with reduced data points in the 3D space; identifying and removing a ground plane in the down-sampled 3D point cloud to leave non-ground data points in the down-sampled 3D point cloud; generating a set of 3D candidate blobs by clustering the non-ground data points to generate a plurality of 3D blobs, each of the 3D blobs having a cluster size; extracting features from each 3D candidate blob, the features being vectors that represent morphological characteristics of each 3D candidate blob; and classifying at least one of the 3D candidate blobs as a pre-defined object class based on the extracted features by assigning a semantic meaning to a segmented real-world individual object.
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9. A method for filtering, segmenting and recognizing objects, the method comprising an act of: causing one or more processors to execute instructions encoded on a non-transitory computer-readable medium, such that upon execution, the one or more processors perform operations of: down sampling a three-dimensional (3D) point cloud having a plurality of data points in 3D space to generate a down-sampled 3D point cloud P with reduced data points in the 3D space; identifying and removing a ground plane in the down-sampled 3D point cloud to leave non-ground data points in the down-sampled 3D point cloud; generating a set of 3D candidate blobs by clustering the non-ground data points to generate a plurality of 3D blobs, each of the 3D blobs having a cluster size; extracting features from each 3D candidate blob, the features being vectors that represent morphological characteristics of each 3D candidate blob; and classifying at least one of the 3D candidate blobs as a pre-defined object class based on the extracted features by assigning a semantic meaning to a segmented real-world individual object. 15. The method as set forth in claim 9 , wherein clustering the non-ground data point to generate a plurality of 3D blobs further comprises an act of, for every point in the down-sampled 3D point cloud P, recursively adding all neighboring points in a sphere with a fixed radius to a queue.
| 0.828844 |
4. A receiving apparatus comprising: a memory configured to store service information including search criteria set in a memory device and a connection method for connecting with the memory device, the memory device storing attribute information including attributes of contents in a searchable condition and being connectable via a network, the service information is defined on a service-by-service basis; a first generator configured to generate a common search query that expresses search conditions used in searching content and at least a pair of a common search condition attribute and a common search condition attribute value, the common search condition attribute having a common mode of expression of a search condition attribute that represents any of the attributes, the common search condition attribute value being a value taken by the common search condition attribute; a second generator configured to generate a search query according to the search criteria specified in the service information with the use of the generated common search query; a transmitter configured to transmit the generated search query to the memory device based on the connection method specified in the service information; and a receiver configured to receive, from the memory device, the attribute information obtained as a result of executing the search query, wherein the attribute information is metadata, the service information further includes a metadata attribute that is an attribute represented by the metadata which is provided as a result of executing the search query and a metadata description format that is a description format of the metadata, includes a search condition attribute representing the metadata attribute that is specifiable as a search condition in the search query, the search conditional attribute is defined on the service-by-service basis, includes a search query description format representing a description format of the search query that can be processed by the memory device, and includes a metadata attribute conversion table representing a correspondence relationship between the metadata attributes, the search condition attributes, and the common search condition attributes, the second generator generates the search query that includes the search condition attributes and that is written in the search query description format, the search condition attributes being obtained by conversion of the common search condition attributes included in the common search query with the use of the metadata attribute conversion table; and a selecting unit configured to, based on a degree of matching between the common search condition attribute included in the common search query and the common search condition attribute for which the service information specifies the correspondence relationship, select the service information and select, as a target for searching, the memory device for which the selected service information specifies a connection method, wherein the second generator generates the search query according to search criteria specified in the service information of the selected memory device with the use of the generated common search query.
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4. A receiving apparatus comprising: a memory configured to store service information including search criteria set in a memory device and a connection method for connecting with the memory device, the memory device storing attribute information including attributes of contents in a searchable condition and being connectable via a network, the service information is defined on a service-by-service basis; a first generator configured to generate a common search query that expresses search conditions used in searching content and at least a pair of a common search condition attribute and a common search condition attribute value, the common search condition attribute having a common mode of expression of a search condition attribute that represents any of the attributes, the common search condition attribute value being a value taken by the common search condition attribute; a second generator configured to generate a search query according to the search criteria specified in the service information with the use of the generated common search query; a transmitter configured to transmit the generated search query to the memory device based on the connection method specified in the service information; and a receiver configured to receive, from the memory device, the attribute information obtained as a result of executing the search query, wherein the attribute information is metadata, the service information further includes a metadata attribute that is an attribute represented by the metadata which is provided as a result of executing the search query and a metadata description format that is a description format of the metadata, includes a search condition attribute representing the metadata attribute that is specifiable as a search condition in the search query, the search conditional attribute is defined on the service-by-service basis, includes a search query description format representing a description format of the search query that can be processed by the memory device, and includes a metadata attribute conversion table representing a correspondence relationship between the metadata attributes, the search condition attributes, and the common search condition attributes, the second generator generates the search query that includes the search condition attributes and that is written in the search query description format, the search condition attributes being obtained by conversion of the common search condition attributes included in the common search query with the use of the metadata attribute conversion table; and a selecting unit configured to, based on a degree of matching between the common search condition attribute included in the common search query and the common search condition attribute for which the service information specifies the correspondence relationship, select the service information and select, as a target for searching, the memory device for which the selected service information specifies a connection method, wherein the second generator generates the search query according to search criteria specified in the service information of the selected memory device with the use of the generated common search query. 6. The apparatus according to claim 4 , wherein when a first common search condition attribute is included in the common search query, the second generator generates the search query from the common search query not including the first common search condition attribute and a first common search condition attribute value that is the common search condition attribute value which is taken by the first common search condition attribute, the first common search condition attribute being the common search condition attribute that is not included in the search condition attributes in the service information but that is included in the metadata attributes that are provided, and the receiving apparatus further comprises a filtering unit configured to perform filtering of the received metadata with the use of the first common search condition attribute and the first common search condition attribute value.
| 0.661458 |
10. The joint decoding method of claim 8 , wherein the generating of the candidate token comprises tagging at least one of a character corresponding to a beginning of a word, a character located in a middle position of the word, a character corresponding to an end of the word in the input character sequence, and a word consisting of a single character in terms of a word generation.
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10. The joint decoding method of claim 8 , wherein the generating of the candidate token comprises tagging at least one of a character corresponding to a beginning of a word, a character located in a middle position of the word, a character corresponding to an end of the word in the input character sequence, and a word consisting of a single character in terms of a word generation. 16. A non-transitory computer readable recording medium for recording a program for executing the method according to claim 10 .
| 0.820943 |
6. A system for deploying at least two beans, comprising: a processor; and a memory coupled to the processor, wherein the memory includes instructions executable by the processor to: define a relationship between the at least two beans in a deployment descriptor; define, in the deployment descriptor, a filter on the relationship between the at least two beans, wherein the defined filter includes one or more attributes that are a subject of the filter, wherein the filter, when executed, returns one or more beans having the one or more attributes, wherein the filter is defined declaratively in the deployment descriptor of a definition of the relationship, wherein defining the filter declaratively in the deployment descriptor allows the filter to be accessible to clients of the definition of the relationship through a local interface such that the filter is exposed on the local interface of the definition of the relationship, wherein exposing the filter on the local interface negates a generation of additional code to implement filters for each conceivable type of entity bean or group of entity beans requested by a client method and allows the client method to be navigated using the defined filter, and wherein the instructions to define a filter on the relationship further causes the processor to: provide a filter tag in the deployment descriptor identifying a portion of the deployment descriptor as being associated with the filter; and provide a filter definition in association with the filter tag, wherein the filter definition further includes a designation of one or more parameters that are to be passed into the filter to control the operation of the filter, wherein the one or more parameters comprises a logical operator parameter identifying a logical operator parameter to be applied to one or more predicates generated based on the filter definition, wherein at least one method that implements the filter includes a query language statement having a WHERE clause, and wherein the one or more predicates are combined with the WHERE clause using the logical operator parameter; and deploy the at least two beans based on the deployment descriptor, wherein at least one method is generated during deployment that implements the filter defined in the deployment descriptor.
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6. A system for deploying at least two beans, comprising: a processor; and a memory coupled to the processor, wherein the memory includes instructions executable by the processor to: define a relationship between the at least two beans in a deployment descriptor; define, in the deployment descriptor, a filter on the relationship between the at least two beans, wherein the defined filter includes one or more attributes that are a subject of the filter, wherein the filter, when executed, returns one or more beans having the one or more attributes, wherein the filter is defined declaratively in the deployment descriptor of a definition of the relationship, wherein defining the filter declaratively in the deployment descriptor allows the filter to be accessible to clients of the definition of the relationship through a local interface such that the filter is exposed on the local interface of the definition of the relationship, wherein exposing the filter on the local interface negates a generation of additional code to implement filters for each conceivable type of entity bean or group of entity beans requested by a client method and allows the client method to be navigated using the defined filter, and wherein the instructions to define a filter on the relationship further causes the processor to: provide a filter tag in the deployment descriptor identifying a portion of the deployment descriptor as being associated with the filter; and provide a filter definition in association with the filter tag, wherein the filter definition further includes a designation of one or more parameters that are to be passed into the filter to control the operation of the filter, wherein the one or more parameters comprises a logical operator parameter identifying a logical operator parameter to be applied to one or more predicates generated based on the filter definition, wherein at least one method that implements the filter includes a query language statement having a WHERE clause, and wherein the one or more predicates are combined with the WHERE clause using the logical operator parameter; and deploy the at least two beans based on the deployment descriptor, wherein at least one method is generated during deployment that implements the filter defined in the deployment descriptor. 10. The system of claim 6 , wherein the query language statement is a Structured Query Language (SQL) SELECT statement.
| 0.556034 |
1. A method of recognizing speech, comprising: generating a decoding network for decoding speech input, the decoding network comprising a primary sub-network and one or more classification sub-networks, wherein: the primary sub-network includes a plurality of classification nodes, each classification node corresponding to a respective classification sub-network of the one or more classification sub-networks, wherein each respective classification sub-network is distinct from the primary sub-network; and each classification sub-network of the one or more classification sub-networks corresponds to a group of uncommon words; receiving a speech input; and decoding the speech input by: instantiating a token corresponding to the speech input in the primary sub-network; passing the token through the primary sub-network; when the token reaches a respective classification node of the plurality of classification nodes, transferring the token to the corresponding classification sub-network; passing the token through the corresponding classification sub-network; when the token reaches an accept node of the classification sub-network, returning a result of the token passing through the classification sub-network to the primary sub-network, wherein the result includes one or more words in the group of uncommon words corresponding to the classification sub-network; outputting a string corresponding to the speech input that includes the one or more words.
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1. A method of recognizing speech, comprising: generating a decoding network for decoding speech input, the decoding network comprising a primary sub-network and one or more classification sub-networks, wherein: the primary sub-network includes a plurality of classification nodes, each classification node corresponding to a respective classification sub-network of the one or more classification sub-networks, wherein each respective classification sub-network is distinct from the primary sub-network; and each classification sub-network of the one or more classification sub-networks corresponds to a group of uncommon words; receiving a speech input; and decoding the speech input by: instantiating a token corresponding to the speech input in the primary sub-network; passing the token through the primary sub-network; when the token reaches a respective classification node of the plurality of classification nodes, transferring the token to the corresponding classification sub-network; passing the token through the corresponding classification sub-network; when the token reaches an accept node of the classification sub-network, returning a result of the token passing through the classification sub-network to the primary sub-network, wherein the result includes one or more words in the group of uncommon words corresponding to the classification sub-network; outputting a string corresponding to the speech input that includes the one or more words. 3. The method of claim 1 , wherein: transferring the token to the corresponding classification sub-network further includes preserving one or more phones obtained prior to the token reaching the classification node as a starting index for the classification sub-network; and returning the result of the token passing through the classification sub-network to the primary sub-network includes preserving one or more phones obtained prior to the token reaching the accept node of the classification sub-network as a returning index for the primary decoding sub-network.
| 0.679458 |
1. A method for generating, with a processor, semantic information associated with spoken voice in order to control an electronic device, comprising: acquiring, with a processor, a first text corpus, including first text data of a first sentence including a first word and described in a natural language, and second text data of a second sentence including a second word different in meaning from the first word, with a second word distribution indicating types and frequencies of words appearing within a predetermined range prior to and subsequent to the second word being similar to a first word distribution within the predetermined range prior to and subsequent to the first word in the first sentence; acquiring, with the processor, a second text corpus including third text data of a third sentence, including a third word identical to at least one of the first word and the second word, with a third word distribution within the predetermined range prior to and subsequent to the third word being not similar to the first word distribution; in accordance with an arrangement of a word string in the first text corpus and the second text corpus, performing, with the processor, a learning process by assigning to the first word a first vector representing a meaning of the first word in a vector space of predetermined dimensions and by assigning to the second word a second vector representing a meaning of the second word in the vector space; storing the first vector in association with the first word, and the second vector spaced by a predetermined distance or longer from the first vector in the vector space in association with the second word; and generating, with the processor, a command based on the first vector and the second vector, wherein the electronics device is controlled in accordance with the command.
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1. A method for generating, with a processor, semantic information associated with spoken voice in order to control an electronic device, comprising: acquiring, with a processor, a first text corpus, including first text data of a first sentence including a first word and described in a natural language, and second text data of a second sentence including a second word different in meaning from the first word, with a second word distribution indicating types and frequencies of words appearing within a predetermined range prior to and subsequent to the second word being similar to a first word distribution within the predetermined range prior to and subsequent to the first word in the first sentence; acquiring, with the processor, a second text corpus including third text data of a third sentence, including a third word identical to at least one of the first word and the second word, with a third word distribution within the predetermined range prior to and subsequent to the third word being not similar to the first word distribution; in accordance with an arrangement of a word string in the first text corpus and the second text corpus, performing, with the processor, a learning process by assigning to the first word a first vector representing a meaning of the first word in a vector space of predetermined dimensions and by assigning to the second word a second vector representing a meaning of the second word in the vector space; storing the first vector in association with the first word, and the second vector spaced by a predetermined distance or longer from the first vector in the vector space in association with the second word; and generating, with the processor, a command based on the first vector and the second vector, wherein the electronics device is controlled in accordance with the command. 5. The method according to claim 1 , wherein the second word is similar in meaning to the first word, but different in terms of a degree of similarity from the first word.
| 0.842882 |
1. A method for determining a geographic location of a user, the method comprising: receiving a query at a search engine from the user searching an inverted index to identify one or more geographical locations associated with one or more terms of the received query, wherein the inverted index comprises plurality of listed query terms, each of which is associated with at least one geographic location and respective relevance score associated therewith, wherein each respective relevance score indicates a level of relevancy of a respective geographical location with the listed query term and is computed based on previously submitted search query terms by at least one user and whether the previously submitted search query terms corresponds to a location specific search query selecting one of the identified one or more geographic locations as the geographic location of the user based on relevance scores associated with the search query and whether the search query is a location specific search query.
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1. A method for determining a geographic location of a user, the method comprising: receiving a query at a search engine from the user searching an inverted index to identify one or more geographical locations associated with one or more terms of the received query, wherein the inverted index comprises plurality of listed query terms, each of which is associated with at least one geographic location and respective relevance score associated therewith, wherein each respective relevance score indicates a level of relevancy of a respective geographical location with the listed query term and is computed based on previously submitted search query terms by at least one user and whether the previously submitted search query terms corresponds to a location specific search query selecting one of the identified one or more geographic locations as the geographic location of the user based on relevance scores associated with the search query and whether the search query is a location specific search query. 10. The method of claim 1 , further comprising: generating the inverted index by: determining geographical locations for a plurality of users that submitted search queries, assigning a relevance score to each of the geographical locations based on whether the search query associated with that geographical location is a location-specific search query; annotating each submitted search query with a determined geographical location for a user that submitted the search query, grouping the annotated search queries according to the determined geographical locations into a plurality of location groups, and building an inverted index for each location group that relates each term of the submitted search queries in the location group to one or more geographical locations determined for the users that submitted the search queries that include the terms, and to the corresponding relevance scores for the one or more geographical locations.
| 0.5 |
13. The system according to claim 11 ; further comprising: means for simplifying and normalizing said intercepted data.
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13. The system according to claim 11 ; further comprising: means for simplifying and normalizing said intercepted data. 16. The system according to claim 13 , wherein said means for simplifying and normalizing further comprising: means for cross referencing said intercepted data between said resource loader and said Graphic Data Interface.
| 0.950579 |
13. A non-transitory computer-readable storage medium having computer-executable instructions, wherein the computer-executable instructions, when executed by one or more computer processors, cause the one or more computer processors to: acquire webpage query requests submitted by a plurality of clients; crawl the webpage based on the acquired webpage query requests and acquiring crawled webpage contents; count up a referenced value of a uniform resource locator (URL) based on the crawled webpage contents; and call a predetermined detection program based on the referenced value of the URL to perform malicious attribute detection of the URL.
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13. A non-transitory computer-readable storage medium having computer-executable instructions, wherein the computer-executable instructions, when executed by one or more computer processors, cause the one or more computer processors to: acquire webpage query requests submitted by a plurality of clients; crawl the webpage based on the acquired webpage query requests and acquiring crawled webpage contents; count up a referenced value of a uniform resource locator (URL) based on the crawled webpage contents; and call a predetermined detection program based on the referenced value of the URL to perform malicious attribute detection of the URL. 14. The non-transitory computer-readable storage medium of claim 13 , wherein the computer-executable instructions further comprise instructions for: after acquiring crawled webpage contents, parsing the webpage contents and extracting citation information of external links in the webpage contents; wherein counting up the referenced value of the URL based on the webpage contents comprises: counting up the referenced value of the URL based on citation information of the external links.
| 0.584226 |
18. The system of claim 17 , wherein the selection of a second vector term causes a third search query to be executed.
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18. The system of claim 17 , wherein the selection of a second vector term causes a third search query to be executed. 22. The method of claim 18 , wherein the execution of a third search query results in one or more third content items and a third set of vector terms forming a third results page.
| 0.964058 |
59. A method for defining a document template for use by a user to create a document by adding content to the document template, the method comprising: defining a body layer of the document template for receiving content that is not occludable by other body-layer content; defining a floating layer of the document template for receiving floating content about which the body-layer content will arrange whenever the floating content is moved to a location of the body-layer content; associating a border of a page of said document template with the floating layer; and defining a visual indication to provide when content is dragged from a display area outside the document over the border of the page, in order to indicate that dropping the content on the page border will insert the content into the floating layer of the document.
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59. A method for defining a document template for use by a user to create a document by adding content to the document template, the method comprising: defining a body layer of the document template for receiving content that is not occludable by other body-layer content; defining a floating layer of the document template for receiving floating content about which the body-layer content will arrange whenever the floating content is moved to a location of the body-layer content; associating a border of a page of said document template with the floating layer; and defining a visual indication to provide when content is dragged from a display area outside the document over the border of the page, in order to indicate that dropping the content on the page border will insert the content into the floating layer of the document. 64. The method of claim 59 further comprising defining a media display area for displaying media content for the user to add to at least one of the layers of the template document.
| 0.741021 |
8. A system, comprising: at least one computing device; and a plurality of computer instructions executable by the at least one computing device, wherein the plurality of computer instructions, when executed, cause the at least one computing device to at least: designate a series of characters in a text block as being a text unit; bind the series of characters together in response to the series of characters being designated as the text unit; assign a label to the text unit based at least upon content in the text unit, wherein the label specifies that the text unit is a particular class of text unit; encode the text block to generate an encoded text block for an application, the encoded text block specifying the label for the text unit and comprising a first signal that instructs an application to: cause an entirety of the series of characters in the text unit to be selected in response to a first selection of a subset of the series of characters; and cause a text format of the text unit to be visually contrasted from a remainder of the text block; decode the encoded text block to generate a decoded text block, the decoded text block comprising the series of characters bound as the text unit; and encode, in response to a second selection of the subset of the series of characters in the decoded text block, the decoded text block to generate an additional encoded text block, wherein the additional encoded text block comprises metadata indicating an unbinding of the series of characters as the text unit and comprises a second signal that instructs the application to: cause the label to be removed; and cause the entirety of the series of characters to be treated as being unbound.
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8. A system, comprising: at least one computing device; and a plurality of computer instructions executable by the at least one computing device, wherein the plurality of computer instructions, when executed, cause the at least one computing device to at least: designate a series of characters in a text block as being a text unit; bind the series of characters together in response to the series of characters being designated as the text unit; assign a label to the text unit based at least upon content in the text unit, wherein the label specifies that the text unit is a particular class of text unit; encode the text block to generate an encoded text block for an application, the encoded text block specifying the label for the text unit and comprising a first signal that instructs an application to: cause an entirety of the series of characters in the text unit to be selected in response to a first selection of a subset of the series of characters; and cause a text format of the text unit to be visually contrasted from a remainder of the text block; decode the encoded text block to generate a decoded text block, the decoded text block comprising the series of characters bound as the text unit; and encode, in response to a second selection of the subset of the series of characters in the decoded text block, the decoded text block to generate an additional encoded text block, wherein the additional encoded text block comprises metadata indicating an unbinding of the series of characters as the text unit and comprises a second signal that instructs the application to: cause the label to be removed; and cause the entirety of the series of characters to be treated as being unbound. 14. The system of claim 8 , wherein the plurality of computer instructions further cause the at least one computing device to at least designate the series of characters in the text block as the text unit in response to a user-specified text unit designation.
| 0.538886 |
13. A computer program product for a service oriented industry model repository architecture, the computer program product comprising: a non-transitory computer readable storage media storing a plurality of computer readable memory, a plurality of service oriented architecture (SOA) industry model repositories (IMR) comprising a meta model service associated with a physical asset repository including model assets, requirement models, and document models, the meta model service comprising: at least one topic map meta model with data specific to a particular topic or industry vertical included within an information model repository common meta-meta model, the information model repository common meta-meta model included within a meta-meta-meta model with a topic map based index; first program instructions for defining boundaries and definitions of scope and scope propagation of topics, associations, and occurrences within the SOA IMR; second program instructions for managing boundaries and definitions of scope and scope propagation within the SOA IMR; and third program instructions for maintaining boundaries and definitions of scope and scope propagation within the SOA IMR; the first, second, and third program instructions are stored on the non-transitory computer readable storage media, wherein the scope is inheritance scoping.
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13. A computer program product for a service oriented industry model repository architecture, the computer program product comprising: a non-transitory computer readable storage media storing a plurality of computer readable memory, a plurality of service oriented architecture (SOA) industry model repositories (IMR) comprising a meta model service associated with a physical asset repository including model assets, requirement models, and document models, the meta model service comprising: at least one topic map meta model with data specific to a particular topic or industry vertical included within an information model repository common meta-meta model, the information model repository common meta-meta model included within a meta-meta-meta model with a topic map based index; first program instructions for defining boundaries and definitions of scope and scope propagation of topics, associations, and occurrences within the SOA IMR; second program instructions for managing boundaries and definitions of scope and scope propagation within the SOA IMR; and third program instructions for maintaining boundaries and definitions of scope and scope propagation within the SOA IMR; the first, second, and third program instructions are stored on the non-transitory computer readable storage media, wherein the scope is inheritance scoping. 16. The computer program product of claim 13 , wherein the scope is industry vertical scoping.
| 0.845347 |
7. The method of claim 6 , wherein the first subquery and the second subquery, of the plurality of subqueries, are constructed to offset broadness in the first subquery with specificity in the second subquery by: (i) including, in the first subquery, a hypernym corresponding to a third sensitive term of the plurality of sensitive terms, and (ii) including the third sensitive term in the second subquery.
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7. The method of claim 6 , wherein the first subquery and the second subquery, of the plurality of subqueries, are constructed to offset broadness in the first subquery with specificity in the second subquery by: (i) including, in the first subquery, a hypernym corresponding to a third sensitive term of the plurality of sensitive terms, and (ii) including the third sensitive term in the second subquery. 8. The method of claim 7 , further comprising: obfuscating the received query by executing the first subquery at a first time and executing the second subquery at a second time, different than the first time.
| 0.899251 |
22. A computer-implemented method for enabling Internet users to interact with a graphical search interface, the method comprising: receiving, from a user over an electronic network, an initial search parameter to use for a search; identifying, using a search engine database, a plurality of related search parameters to use for the search, based on the received initial search parameter; generating, by a processor, a multi-dimensional search space having a perimeter defined by the received initial search parameter and the plurality of related search parameters; transmitting, for display to the user over the network, a graphical interface projecting the multi-dimensional search space, along with a plurality of user elements corresponding to the received initial search parameter and the plurality of related search parameters by which the user may adjust a relative weight of one or more of the received initial search parameter and the plurality of related search parameters, wherein the relative weight of each of the received initial search parameter and the plurality of related search parameters is calculated based on one or both of (i) a spatial distance between each of the received initial search parameter and the plurality of related search parameters of the perimeter and a radial center of the multi-dimensional search space; and (ii) a spatial distance and an angle between two or more of each of the received initial search parameter and the plurality of related search parameters of the perimeter; and transmitting, for display to the user over the network, a plurality of search results automatically updated in real time based on the user-adjusted weights of at least one of the received initial search parameter and the plurality of related search parameters.
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22. A computer-implemented method for enabling Internet users to interact with a graphical search interface, the method comprising: receiving, from a user over an electronic network, an initial search parameter to use for a search; identifying, using a search engine database, a plurality of related search parameters to use for the search, based on the received initial search parameter; generating, by a processor, a multi-dimensional search space having a perimeter defined by the received initial search parameter and the plurality of related search parameters; transmitting, for display to the user over the network, a graphical interface projecting the multi-dimensional search space, along with a plurality of user elements corresponding to the received initial search parameter and the plurality of related search parameters by which the user may adjust a relative weight of one or more of the received initial search parameter and the plurality of related search parameters, wherein the relative weight of each of the received initial search parameter and the plurality of related search parameters is calculated based on one or both of (i) a spatial distance between each of the received initial search parameter and the plurality of related search parameters of the perimeter and a radial center of the multi-dimensional search space; and (ii) a spatial distance and an angle between two or more of each of the received initial search parameter and the plurality of related search parameters of the perimeter; and transmitting, for display to the user over the network, a plurality of search results automatically updated in real time based on the user-adjusted weights of at least one of the received initial search parameter and the plurality of related search parameters. 24. The computer-implemented method of claim 22 , wherein the perimeter of the multi-dimensional search space has a plurality of vertices, each vertex of the plurality of vertices representing one of the received initial search parameter and the plurality of related search parameters employed in the search initiated by the user.
| 0.654261 |
29. A document delivery method comprising: sensing presence of a document to be scanned; scanning the document in response to the document presence sensing; and, transmitting the scanned document telephonically over a telephone network to a predetermined fixed telephone number; receiving the document in an envelope shaped input slot, wherein the sensing of the presence of a document to be scanned comprises sensing the presence of the document in the envelope shaped slot.
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29. A document delivery method comprising: sensing presence of a document to be scanned; scanning the document in response to the document presence sensing; and, transmitting the scanned document telephonically over a telephone network to a predetermined fixed telephone number; receiving the document in an envelope shaped input slot, wherein the sensing of the presence of a document to be scanned comprises sensing the presence of the document in the envelope shaped slot. 36. The document delivery method of claim 29 further comprising providing verbal notifications to the user.
| 0.788793 |
1. A digital mobile telecommunications method comprising: sending, by a content provider server, to a telecommunications device, via a digital mobile telecommunications network, a message, wherein the telecommunications device comprises a graphical display, wherein the telecommunications device is configured for connecting to the digital mobile telecommunications network, and wherein the message comprises at least a text portion; receiving the message by the telecommunications device via the digital mobile telecommunications network; sending, by the telecommunications device, the message to a text classification system via a wired digital network and a digital mobile telecommunications network, wherein the wired digital network is connected to the digital mobile telecommunications network, to the content provider server, and to the text classification system; receiving, by the text classification system, via the wired digital network, the message; creating text tokens from the text portion, using a tokenizing algorithm stored in a memory device, by the text classification system; transforming, by the text classification system, based on a stemming algorithm stored in a memory device, the text tokens into stemmed tokens; determining, by the text classification system, based on a named entity algorithm stored in a memory device, a word classifier for each of the stemmed tokens; calculating, by the text classification system, based on a classification algorithm stored in a memory device, a message classification of the message, wherein inputs to the classification algorithm stored in the memory device are the stemmed tokens and the determined word classifier for each of the stemmed tokens; sending, by the text classification system, to the telecommunications device, the message classification via the wired network and via the digital mobile telecommunications network; receiving, by the telecommunications device, the message classification via the digital mobile telecommunications network; and displaying, by the telecommunications device, the message on the display, wherein the displaying of the message is modified according to the message classification.
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1. A digital mobile telecommunications method comprising: sending, by a content provider server, to a telecommunications device, via a digital mobile telecommunications network, a message, wherein the telecommunications device comprises a graphical display, wherein the telecommunications device is configured for connecting to the digital mobile telecommunications network, and wherein the message comprises at least a text portion; receiving the message by the telecommunications device via the digital mobile telecommunications network; sending, by the telecommunications device, the message to a text classification system via a wired digital network and a digital mobile telecommunications network, wherein the wired digital network is connected to the digital mobile telecommunications network, to the content provider server, and to the text classification system; receiving, by the text classification system, via the wired digital network, the message; creating text tokens from the text portion, using a tokenizing algorithm stored in a memory device, by the text classification system; transforming, by the text classification system, based on a stemming algorithm stored in a memory device, the text tokens into stemmed tokens; determining, by the text classification system, based on a named entity algorithm stored in a memory device, a word classifier for each of the stemmed tokens; calculating, by the text classification system, based on a classification algorithm stored in a memory device, a message classification of the message, wherein inputs to the classification algorithm stored in the memory device are the stemmed tokens and the determined word classifier for each of the stemmed tokens; sending, by the text classification system, to the telecommunications device, the message classification via the wired network and via the digital mobile telecommunications network; receiving, by the telecommunications device, the message classification via the digital mobile telecommunications network; and displaying, by the telecommunications device, the message on the display, wherein the displaying of the message is modified according to the message classification. 10. The digital mobile telecommunications method of claim 1 , wherein the telecommunications device is configured for providing a sensory alert, and wherein the sensory alert is determined by the message classification.
| 0.609765 |
27. The computer program product of claim 23 , wherein compressing the first animation and the second animation includes compressing the first animation and updating the compressed first animation with the second animation.
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27. The computer program product of claim 23 , wherein compressing the first animation and the second animation includes compressing the first animation and updating the compressed first animation with the second animation. 29. The computer program product of claim 27 , wherein updating the compressed first animation includes disregarding a portion of the second animation.
| 0.885031 |
11. A method for extracting a digital watermark ŵ from textual and/or vector graphics documents of electronic and/or hard-copy form based on the modulation of luminance or grayscale values, of color values, or of halftone patterns of characters or of vector elements, wherein the watermarked and potentially distorted or attacked document {hacek over (y)}′ is segmented, processed and the watermark extracted as ŵ, the codeword ĉ estimated, and the message {circumflex over (m)} decoded, the method comprising the steps of (a) applying document segmentation to the watermarked document {hacek over (y)}′, including the selection of documents text and/or vector graphics components y text , (b) extracting the potentially modulated elements from the text and/or vector graphics components, including performing character and/or elements segmentation for text and/or vector graphics documents, (c) estimating the watermark signal ŵ from the modulated grayscale, color and/or halftone pattern attributes, (d) generating a pilot signal; estimating and compensating the extracted watermark ŵ state and desynchronization, based on the pilot signal, resulting into the estimated codeword ĉ; decoding the codeword ĉ resulting into the final message {circumflex over (m)}.
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11. A method for extracting a digital watermark ŵ from textual and/or vector graphics documents of electronic and/or hard-copy form based on the modulation of luminance or grayscale values, of color values, or of halftone patterns of characters or of vector elements, wherein the watermarked and potentially distorted or attacked document {hacek over (y)}′ is segmented, processed and the watermark extracted as ŵ, the codeword ĉ estimated, and the message {circumflex over (m)} decoded, the method comprising the steps of (a) applying document segmentation to the watermarked document {hacek over (y)}′, including the selection of documents text and/or vector graphics components y text , (b) extracting the potentially modulated elements from the text and/or vector graphics components, including performing character and/or elements segmentation for text and/or vector graphics documents, (c) estimating the watermark signal ŵ from the modulated grayscale, color and/or halftone pattern attributes, (d) generating a pilot signal; estimating and compensating the extracted watermark ŵ state and desynchronization, based on the pilot signal, resulting into the estimated codeword ĉ; decoding the codeword ĉ resulting into the final message {circumflex over (m)}. 19. The method of claim 11 wherein step (b) uses any elements segmentation technique, including each member of the group formed of contour extraction, morphological operators, or shape analysis.
| 0.923107 |
13. A computer-implemented method for rating or ranking the relative quality or value of a first patent document based at least in part on determining a relative probability that a direct citational relationship exists between said first patent document and a second patent document, the method comprising: determining by a computer system one or more indirect citational relationships that may exist between said first patent document and said second patent document; analyzing by the computer system said one or more indirect citational relationships by determining for each said indirect citational relationship the number of citation links or generations separating said first patent document from said second patent document and counting or aggregating said indirect citational relationships into generational citation counts according to said determined number of citation links or generations; applying by the computer system a probability transform function to said one or more determined generational citation counts to determine or quantify the relative probability that said first patent document directly cites said second patent document or said second patent document directly cites said first patent document; wherein the applying a probability transform function comprises providing said one or more determined generational citation counts as input predictor variables to a multi-variable event prediction model, said model being selected and adjusted to determine a relative event probability that said first document directly cites said second document or said second document directly cites said first document based on said one or more determined generational citation counts; and providing by the computer system said determined relative probability to a computer-implemented patent rating system and causing said computer-implemented patent rating system to thereby rate or rank the relative quality or value of said first patent document based at least in part on said determined relative probability, wherein the computer system comprises at least a processor and a storage device.
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13. A computer-implemented method for rating or ranking the relative quality or value of a first patent document based at least in part on determining a relative probability that a direct citational relationship exists between said first patent document and a second patent document, the method comprising: determining by a computer system one or more indirect citational relationships that may exist between said first patent document and said second patent document; analyzing by the computer system said one or more indirect citational relationships by determining for each said indirect citational relationship the number of citation links or generations separating said first patent document from said second patent document and counting or aggregating said indirect citational relationships into generational citation counts according to said determined number of citation links or generations; applying by the computer system a probability transform function to said one or more determined generational citation counts to determine or quantify the relative probability that said first patent document directly cites said second patent document or said second patent document directly cites said first patent document; wherein the applying a probability transform function comprises providing said one or more determined generational citation counts as input predictor variables to a multi-variable event prediction model, said model being selected and adjusted to determine a relative event probability that said first document directly cites said second document or said second document directly cites said first document based on said one or more determined generational citation counts; and providing by the computer system said determined relative probability to a computer-implemented patent rating system and causing said computer-implemented patent rating system to thereby rate or rank the relative quality or value of said first patent document based at least in part on said determined relative probability, wherein the computer system comprises at least a processor and a storage device. 20. The computer-implemented method of claim 13 , further comprising using said determined relative probability to identify or qualify patent assets or groups of patent assets desired to be purchased or sold through private negotiated transactions, public sales or public auctions.
| 0.553462 |
2. The user interface of claim 1 , wherein the recognition display state is presented after receipt of the handwriting input and prior to receipt of a selection of the selected one of the recognition candidates and combination candidates and the prediction display state is presented after receipt of the selection.
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2. The user interface of claim 1 , wherein the recognition display state is presented after receipt of the handwriting input and prior to receipt of a selection of the selected one of the recognition candidates and combination candidates and the prediction display state is presented after receipt of the selection. 4. The user interface of claim 2 , wherein when in the prediction display state the edit field displays the text string as committed text.
| 0.896882 |
16. The computer system of claim 15 , wherein filtering the potential variation-phrase pairs to remove those potential variation-phrase pairs that do not satisfy a predetermined criteria comprises, for each discrete subset of potential variation-phrase pairs in the variation-phrase set, recursively pruning potential variation-phrase pairs from the current discrete subset of potential variation-phrase pairs until a predetermined pruning criteria is satisfied.
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16. The computer system of claim 15 , wherein filtering the potential variation-phrase pairs to remove those potential variation-phrase pairs that do not satisfy a predetermined criteria comprises, for each discrete subset of potential variation-phrase pairs in the variation-phrase set, recursively pruning potential variation-phrase pairs from the current discrete subset of potential variation-phrase pairs until a predetermined pruning criteria is satisfied. 17. The computer system of claim 16 , wherein pruning potential variation-phrase pairs from the current discrete subset of potential variation-phrase pairs comprises: for each potential variation-phrase pair in the current discrete subset: clustering the potential variation-phrase pairs into at least one cluster set according to cumulative scores corresponding to each potential variation-phrase pair, and deleting those potential variation-phrase pairs from the current discrete subset of potential variation-phrase pairs that fall into the cluster set corresponding to the cluster of potential variation-phrase pairs with the lowest cumulative scores; and determining a co-citation score for each variation-phrase pair with regard to other variation-phrase pairs in the discrete subset of potential variation-phrase pairs, and pruning each potential variation-phrase pair from the discrete subset of potential variation-phrase pairs where the co-citation score falls below a co-citation threshold.
| 0.771254 |
47. A method for processing voice commands, the method comprising: at a electronic device: receiving user input; in response to receiving user input, recording at least a portion of a voice command; storing contextual information of the electronic device, the contextual information related to a state of the electronic device at a time the at least a portion of the voice command is recorded; after recording the at least a portion of the voice command and storing the contextual information, transmitting the at least a portion of the recorded voice command and the stored contextual information from the electronic device to remote computing equipment; and receiving, from the remote computing equipment, data related to processing the voice command.
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47. A method for processing voice commands, the method comprising: at a electronic device: receiving user input; in response to receiving user input, recording at least a portion of a voice command; storing contextual information of the electronic device, the contextual information related to a state of the electronic device at a time the at least a portion of the voice command is recorded; after recording the at least a portion of the voice command and storing the contextual information, transmitting the at least a portion of the recorded voice command and the stored contextual information from the electronic device to remote computing equipment; and receiving, from the remote computing equipment, data related to processing the voice command. 55. The method of claim 47 , wherein the contextual information comprises an operational state of the electronic device at the time the at least a portion of the voice command is recorded.
| 0.636726 |
11. A handheld electronic device comprising: a processor apparatus including a memory having a plurality of objects stored therein, the plurality of objects including a plurality of language objects; an input apparatus including a plurality of input members, each of at least a portion of the input members of the plurality of input members having a plurality of linguistic elements assigned thereto; an output apparatus; the handheld electronic device being adapted to receive thereon a quantity of data including a number of language objects; the processor apparatus being adapted to identify from among the number of language objects in the received data a number of proper language objects, each proper language object having at least one upper case character, the processor apparatus being further adapted to identify at least some of the proper language objects as each comprising the same characters as one of the language objects stored in the memory and having at least one character of a different case than the same character of said one of the language objects; the processor apparatus being adapted to store in the memory said at least some of the proper language objects; the processor apparatus being adapted to detect an ambiguous input including a number of input member actuations of a number of the input members of the plurality of input members, each of at least a portion of the input members of the number of input members including a number of linguistic elements assigned thereto, at least one of the input members of the number of input members having a plurality of linguistic elements assigned thereto; the processor apparatus being adapted to identify in the memory a proper language object of the at least some of the proper language objects that corresponds with the ambiguous input; and the output apparatus being adapted to output at least a portion of the proper language object as a proposed disambiguation of the ambiguous input.
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11. A handheld electronic device comprising: a processor apparatus including a memory having a plurality of objects stored therein, the plurality of objects including a plurality of language objects; an input apparatus including a plurality of input members, each of at least a portion of the input members of the plurality of input members having a plurality of linguistic elements assigned thereto; an output apparatus; the handheld electronic device being adapted to receive thereon a quantity of data including a number of language objects; the processor apparatus being adapted to identify from among the number of language objects in the received data a number of proper language objects, each proper language object having at least one upper case character, the processor apparatus being further adapted to identify at least some of the proper language objects as each comprising the same characters as one of the language objects stored in the memory and having at least one character of a different case than the same character of said one of the language objects; the processor apparatus being adapted to store in the memory said at least some of the proper language objects; the processor apparatus being adapted to detect an ambiguous input including a number of input member actuations of a number of the input members of the plurality of input members, each of at least a portion of the input members of the number of input members including a number of linguistic elements assigned thereto, at least one of the input members of the number of input members having a plurality of linguistic elements assigned thereto; the processor apparatus being adapted to identify in the memory a proper language object of the at least some of the proper language objects that corresponds with the ambiguous input; and the output apparatus being adapted to output at least a portion of the proper language object as a proposed disambiguation of the ambiguous input. 12. The handheld electronic device of claim 11 wherein the processor apparatus is adapted to identify as a proper language object a language object from among the number of language objects that is a proper noun.
| 0.700813 |
12. A system, comprising: a user interface module configured to provide, via a touch display of a touch computing device, a first layout of characters in a first language, and provide, via the touch display of the touch computing device, a second layout of characters in the first language, the second layout of characters being based on a selected first character, the second layout of characters being different than the first layout of characters, the second layout of characters being configured such that the user can input a remainder of all possible multi-character compound consonants or vowels beginning with the selected first character using a single slide input, receive, via the touch display of the touch computing device, spot input from a user, the spot input indicating the selected first character, the selected first character being from the first layout of characters, receive, via the touch display of the touch computing device, slide input from the user from the selected first character to a selected second character from the second layout of characters, determine, at the touch computing device, a string of characters based on the selected first and second characters and the second layout of characters, the string of characters including one or more other characters of the second layout of characters along a path of the slide input, and display, via the touch display of the touch computing device, the string of characters.
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12. A system, comprising: a user interface module configured to provide, via a touch display of a touch computing device, a first layout of characters in a first language, and provide, via the touch display of the touch computing device, a second layout of characters in the first language, the second layout of characters being based on a selected first character, the second layout of characters being different than the first layout of characters, the second layout of characters being configured such that the user can input a remainder of all possible multi-character compound consonants or vowels beginning with the selected first character using a single slide input, receive, via the touch display of the touch computing device, spot input from a user, the spot input indicating the selected first character, the selected first character being from the first layout of characters, receive, via the touch display of the touch computing device, slide input from the user from the selected first character to a selected second character from the second layout of characters, determine, at the touch computing device, a string of characters based on the selected first and second characters and the second layout of characters, the string of characters including one or more other characters of the second layout of characters along a path of the slide input, and display, via the touch display of the touch computing device, the string of characters. 19. The system of claim 12 , wherein the first layout of characters is one of a form of a standard QWERTY keyboard configuration and a 12-key telephone layout configuration.
| 0.539192 |
7. A computer readable medium for automated testing of an application program, comprising: a test script having test commands in a first language, the application program having a second language that is different from the first language; and a tester process for providing translations of the test commands in the second language, the tester process employing translations used in the application program itself and comparing test commands in the first language to converted test commands in the second language by accessing supporting files of the application program supporting program examination in plural languages and having translations to the second language, the supporting files being prior established files of the application program and the supporting files having resource name and URL for the second language.
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7. A computer readable medium for automated testing of an application program, comprising: a test script having test commands in a first language, the application program having a second language that is different from the first language; and a tester process for providing translations of the test commands in the second language, the tester process employing translations used in the application program itself and comparing test commands in the first language to converted test commands in the second language by accessing supporting files of the application program supporting program examination in plural languages and having translations to the second language, the supporting files being prior established files of the application program and the supporting files having resource name and URL for the second language. 12. The computer readable medium as claimed in claim 7 wherein the application program is a tagged application.
| 0.663283 |
1. A method comprising: under control of one or more computer systems configured with specific executable instructions, determining a genre of an electronic book based at least in part on a prior categorization of the electronic book, the prior categorization having previously classified the contents of the electronic book; receiving, on an electronic book reader device displaying the electronic book, a request for a definition of a word found within contents of the electronic book; selecting, based at least in part on the determined genre of the electronic book, a dictionary entry from multiple different dictionary entries each providing a definition of the word; locating the definition of the word from the selected dictionary entry; displaying the definition of the word from the selected dictionary entry on the electronic book reader device at least partly in response to the receiving of the request receiving feedback regarding the determined genre or the selected dictionary entry; and determining a different genre of the electronic book based at least in part on the received feedback.
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1. A method comprising: under control of one or more computer systems configured with specific executable instructions, determining a genre of an electronic book based at least in part on a prior categorization of the electronic book, the prior categorization having previously classified the contents of the electronic book; receiving, on an electronic book reader device displaying the electronic book, a request for a definition of a word found within contents of the electronic book; selecting, based at least in part on the determined genre of the electronic book, a dictionary entry from multiple different dictionary entries each providing a definition of the word; locating the definition of the word from the selected dictionary entry; displaying the definition of the word from the selected dictionary entry on the electronic book reader device at least partly in response to the receiving of the request receiving feedback regarding the determined genre or the selected dictionary entry; and determining a different genre of the electronic book based at least in part on the received feedback. 3. A method as recited in claim 1 , wherein the selected dictionary entry is a science dictionary entry, a science-fiction dictionary entry, a medical dictionary entry, a business dictionary entry, a legal dictionary entry, a native-language dictionary entry, or a non-native-language dictionary entry.
| 0.67512 |
3. The method of claim 1 , further comprising: maintaining a collection of documents, wherein each document has a respective document URL, and wherein the maintaining includes, for each document, identifying a URL pattern in the collection of URL patterns that is satisfied by the respective document URL, and applying a label that is associated with the identified URL pattern to the document.
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3. The method of claim 1 , further comprising: maintaining a collection of documents, wherein each document has a respective document URL, and wherein the maintaining includes, for each document, identifying a URL pattern in the collection of URL patterns that is satisfied by the respective document URL, and applying a label that is associated with the identified URL pattern to the document. 4. The method of claim 3 , further comprising: processing the plurality of filtered search results to remove one or more filtered search results, wherein each filtered search result that is removed identifies a respective document that has no label that matches the label of interest.
| 0.936779 |
11. A computer storage medium having stored thereon computer executable instructions which when executed by a processor in a computer system implement steps for performing static type checking of dynamic languages in an Integrated Development Environment (IDE), the steps comprising: receiving input to the IDE that specifies a supplemental type system to be added to the IDE, the IDE having a base type system corresponding to an object-oriented programming language, the supplemental type system comprising one of an XML data model or a relational data model; attaching elements of the supplemental type system to objects of the base type system such that the objects are associated with a base type and a supplemental type; and in response to receiving user input into a text editor of the IDE, the user input being associated with an object of the base type system, providing visual feedback that is based on the base type of the object as well as the supplemental type associated with the object.
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11. A computer storage medium having stored thereon computer executable instructions which when executed by a processor in a computer system implement steps for performing static type checking of dynamic languages in an Integrated Development Environment (IDE), the steps comprising: receiving input to the IDE that specifies a supplemental type system to be added to the IDE, the IDE having a base type system corresponding to an object-oriented programming language, the supplemental type system comprising one of an XML data model or a relational data model; attaching elements of the supplemental type system to objects of the base type system such that the objects are associated with a base type and a supplemental type; and in response to receiving user input into a text editor of the IDE, the user input being associated with an object of the base type system, providing visual feedback that is based on the base type of the object as well as the supplemental type associated with the object. 14. The computer storage medium of claim 11 , wherein the elements of the supplemental type system are attached to objects of the base type system using one of the following: one or more namespaces; a compile-time meta-object protocol; one or more phantom types; one or more custom attributes; type inference; or one or more contracts.
| 0.511895 |
23. An apparatus that selects links while updating a probabilistic generative model for textual documents, comprising: a data store configured to store a current model, which contains terminal nodes representing words and cluster nodes representing clusters of conceptually related words, wherein nodes in the current model are coupled together by weighted links, wherein if a node fires, a link from the node to another node is activated and causes the other node to fire with a probability proportionate to the weight of the link; a training mechanism configured to apply a set of training documents containing words to the current model to produce a new model, wherein the training mechanism is configured to, determine expected counts for activations of links and prospective links, determine link-ratings for the links and the prospective links based on the expected counts, and select links to be included in the new model based on the determined link-ratings; and an updating mechanism configured to make the new model the current model.
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23. An apparatus that selects links while updating a probabilistic generative model for textual documents, comprising: a data store configured to store a current model, which contains terminal nodes representing words and cluster nodes representing clusters of conceptually related words, wherein nodes in the current model are coupled together by weighted links, wherein if a node fires, a link from the node to another node is activated and causes the other node to fire with a probability proportionate to the weight of the link; a training mechanism configured to apply a set of training documents containing words to the current model to produce a new model, wherein the training mechanism is configured to, determine expected counts for activations of links and prospective links, determine link-ratings for the links and the prospective links based on the expected counts, and select links to be included in the new model based on the determined link-ratings; and an updating mechanism configured to make the new model the current model. 32. The apparatus of claim 23 , wherein while producing the new model, the training mechanism is configured to selectively delete nodes from the new model.
| 0.652502 |
10. The system of claim 9 further comprising: a dictionary storage unit that stores a plurality of words, each word having an associated display, reading, and part-of-speech; a word obtaining unit that identifies the part-of-speech of the words having the same display and reading from the dictionary storage unit; a cluster creating unit that creates a cluster for the words having the same display and reading by combining parts-of-speech of the words having the same display and reading; and a cluster storing control unit storing the cluster in a storage unit.
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10. The system of claim 9 further comprising: a dictionary storage unit that stores a plurality of words, each word having an associated display, reading, and part-of-speech; a word obtaining unit that identifies the part-of-speech of the words having the same display and reading from the dictionary storage unit; a cluster creating unit that creates a cluster for the words having the same display and reading by combining parts-of-speech of the words having the same display and reading; and a cluster storing control unit storing the cluster in a storage unit. 11. The system of claim 10 further comprising: a cluster dividing unit that divides the clusters stored in the storage unit according to the parts-of-speech; a combining unit that combines two clusters stored in the storage unit to create a cluster bigram; the calculation unit that calculates a probability of occurrence of the cluster bigram; a cluster bigram storing control unit that associates the cluster bigram with the cluster bigram indicating the probability calculated by a calculation unit.
| 0.790682 |
2. A speech processing apparatus comprising: an input unit configured to enter a text and determination information which indicates portions to be converted and portions not to be converted into different phonetic sound in the text; a dictionary including sets of a character string which constitutes a word, a phonetic sound sequence which constitutes pronunciation of the word and a part of speech of the word; a generating unit configured to divide the text into one or more subtexts on the basis of the dictionary and the determination information and generates information including a phonetic sound sequence with an attribute indicating whether the conversion is necessary or not for each divided subtext; and a processing unit configured to (1) convert each phonetic sound in the phonetic sound sequence of the subtext, whose attribute indicates that the conversion is necessary, into a different phonetic sound according to conversion rules stored in advance and output the same, and (2) output the phonetic sound sequence of the subtext, whose attribute indicates that the conversion is not necessary, without carrying out the conversion.
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2. A speech processing apparatus comprising: an input unit configured to enter a text and determination information which indicates portions to be converted and portions not to be converted into different phonetic sound in the text; a dictionary including sets of a character string which constitutes a word, a phonetic sound sequence which constitutes pronunciation of the word and a part of speech of the word; a generating unit configured to divide the text into one or more subtexts on the basis of the dictionary and the determination information and generates information including a phonetic sound sequence with an attribute indicating whether the conversion is necessary or not for each divided subtext; and a processing unit configured to (1) convert each phonetic sound in the phonetic sound sequence of the subtext, whose attribute indicates that the conversion is necessary, into a different phonetic sound according to conversion rules stored in advance and output the same, and (2) output the phonetic sound sequence of the subtext, whose attribute indicates that the conversion is not necessary, without carrying out the conversion. 11. The apparatus according to claim 2 , wherein a unit of the subtext is a word, a morpheme, or a phrase.
| 0.929513 |
18. An electronic device comprising a speech recognizer, wherein the speech recognizer is configured to determine whether recognition result determined from received speech data is stabilized, the speech recognizer is configured to process values of best state scores and best token scores associated with frames of received speech data for end of utterance detection purposes, the processing comprising: calculating values of state scores and token scores associated with frames of received speech data, determining best state scores and best token scores, a best state score being a score of a state having the best probability amongst a number of states in a state model for speech recognition purposes, and a best token score being the best probability of a token amongst a number of tokens used for speech recognition purposes, and the speech recognizer is configured to determine, in response to the recognition result being stabilized, on the basis of the processed values of the best state scores and best token scores whether end of utterance is detected or not.
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18. An electronic device comprising a speech recognizer, wherein the speech recognizer is configured to determine whether recognition result determined from received speech data is stabilized, the speech recognizer is configured to process values of best state scores and best token scores associated with frames of received speech data for end of utterance detection purposes, the processing comprising: calculating values of state scores and token scores associated with frames of received speech data, determining best state scores and best token scores, a best state score being a score of a state having the best probability amongst a number of states in a state model for speech recognition purposes, and a best token score being the best probability of a token amongst a number of tokens used for speech recognition purposes, and the speech recognizer is configured to determine, in response to the recognition result being stabilized, on the basis of the processed values of the best state scores and best token scores whether end of utterance is detected or not. 29. An electronic device according to claim 18 , wherein the speech recognizer is configured to determine detection of end of utterance after a maximum number of frames producing substantially the same recognition result has been received.
| 0.815392 |
1. A system for synchronizing output of translated content during consumption of base content, the system comprising: one or more data stores that store: a base content; translated content corresponding to the base content, wherein the translated content differs from the base content by at least one of language, dialect, or alphabet; and content synchronization information that identifies: one or more positions within the base content, and for each of the one or more positions within the base content, a corresponding position within the translated content; at least one input device configured to at least receive user interaction information during consumption of the base content, the user interaction information relating to interaction by a user with the base content during consumption of the base content; at least one output device configured to at least output the base content and the translated content; and at least one processor in communication with the one or more data stores, the at least one input device, and the at least one output device, the at least one processor configured to at least: cause output of the base content via the at least one output device; analyze the user interaction information to detect a current position of consumption of the base content, wherein the current position of consumption advances during consumption of the base content; determine that the content synchronization information identifies a first position within the base content that corresponds to the current position of consumption of the base content; identify, based at least in part on the content synchronization information, a first position within the translated content that corresponds to the first position within the base content; cause synchronization of output of the base content and output of the translated content from the current position of consumption of the base content and the first position within the translated content; and maintain, based at least in part on the content synchronization information, synchronization of the output of the base content and the output of the translated content as the current position of consumption of the base content advances during consumption of the base content.
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1. A system for synchronizing output of translated content during consumption of base content, the system comprising: one or more data stores that store: a base content; translated content corresponding to the base content, wherein the translated content differs from the base content by at least one of language, dialect, or alphabet; and content synchronization information that identifies: one or more positions within the base content, and for each of the one or more positions within the base content, a corresponding position within the translated content; at least one input device configured to at least receive user interaction information during consumption of the base content, the user interaction information relating to interaction by a user with the base content during consumption of the base content; at least one output device configured to at least output the base content and the translated content; and at least one processor in communication with the one or more data stores, the at least one input device, and the at least one output device, the at least one processor configured to at least: cause output of the base content via the at least one output device; analyze the user interaction information to detect a current position of consumption of the base content, wherein the current position of consumption advances during consumption of the base content; determine that the content synchronization information identifies a first position within the base content that corresponds to the current position of consumption of the base content; identify, based at least in part on the content synchronization information, a first position within the translated content that corresponds to the first position within the base content; cause synchronization of output of the base content and output of the translated content from the current position of consumption of the base content and the first position within the translated content; and maintain, based at least in part on the content synchronization information, synchronization of the output of the base content and the output of the translated content as the current position of consumption of the base content advances during consumption of the base content. 7. The system of claim 1 , wherein the user interaction information comprises a frequency of page turns within the base content, and wherein analyzing the user interaction information to detect a current position of consumption of the base content comprises estimating the current position of consumption of the base content based at least in part on a frequency of page turns within the base content.
| 0.584066 |
3. The apparatus of claim 1 , wherein the flow processing module determines whether the state exists in a translation dictionary for the state request, and wherein the state is reproduced if it is not in the dictionary and a new state is added to the dictionary.
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3. The apparatus of claim 1 , wherein the flow processing module determines whether the state exists in a translation dictionary for the state request, and wherein the state is reproduced if it is not in the dictionary and a new state is added to the dictionary. 7. The apparatus of claim 3 , wherein a plurality of expressions are mapped to a plurality of descriptors, and wherein one or more descriptors include one or more rules such that when a given descriptor is encountered an action occurs based on a state associated with the descriptor.
| 0.633075 |
1. A computer-implemented method comprising: determining content that identifies a particular event anticipated to occur at a future time; determining that a length of time, during which interactions with respect to the content occur, exceeds a predetermined trend time; identifying a content trend topic associated with the particular event that is anticipated to occur at the future time, the content trend topic being identified based on the length of time, during which the interactions with respect to the content occur, exceeding the predetermined trend time; determining content items that meet a predetermined relevance threshold for the identified content trend topic; associating the identified content trend topic with the content items that meet the predetermined relevance threshold; and clustering the content items associated with the identified content trend topic for provisioning when the content trend topic anticipated to occur at the future time does occur.
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1. A computer-implemented method comprising: determining content that identifies a particular event anticipated to occur at a future time; determining that a length of time, during which interactions with respect to the content occur, exceeds a predetermined trend time; identifying a content trend topic associated with the particular event that is anticipated to occur at the future time, the content trend topic being identified based on the length of time, during which the interactions with respect to the content occur, exceeding the predetermined trend time; determining content items that meet a predetermined relevance threshold for the identified content trend topic; associating the identified content trend topic with the content items that meet the predetermined relevance threshold; and clustering the content items associated with the identified content trend topic for provisioning when the content trend topic anticipated to occur at the future time does occur. 10. The computer-implemented method of claim 1 , wherein the content items comprise at least one of text entry, video clip, audio clip, web articles, or location information of a user.
| 0.68963 |
3. The text mining device of claim 1 , wherein said topic involvement degree calculation unit calculates a confidence indicating a confidence degree relating the text element to the analysis target topic on the basis of a model that estimates whether or not the text element is the analysis target topic, and calculates the confidence as the topic involvement degree.
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3. The text mining device of claim 1 , wherein said topic involvement degree calculation unit calculates a confidence indicating a confidence degree relating the text element to the analysis target topic on the basis of a model that estimates whether or not the text element is the analysis target topic, and calculates the confidence as the topic involvement degree. 5. The text mining device of claim 3 , wherein said topic involvement degree calculation unit calculates the topic involvement degree so as to be smaller, as closeness to a transition boundary of a topic of the text element when calculating the topic involvement degree.
| 0.923179 |
8. The method of claim 1 , said recording step further comprising: initializing an abstraction recordation process responsive to the voice command; detecting a set of actions included in the abstraction; ascertaining a user triggered event to finalize the abstraction; and storing the abstraction for future use, wherein the abstraction is stored as the abstraction type specified by the voice command.
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8. The method of claim 1 , said recording step further comprising: initializing an abstraction recordation process responsive to the voice command; detecting a set of actions included in the abstraction; ascertaining a user triggered event to finalize the abstraction; and storing the abstraction for future use, wherein the abstraction is stored as the abstraction type specified by the voice command. 12. The method of claim 8 , wherein the initializing and storing steps are performed by software remotely located from a system which receives the voice command, which is communicatively linked to the system by a network.
| 0.794961 |
21. The method of claim 1 , wherein processing includes accessing a first application, and wherein further processing includes accessing a second application based on the content.
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21. The method of claim 1 , wherein processing includes accessing a first application, and wherein further processing includes accessing a second application based on the content. 22. The method of claim 21 , wherein the first application is an e-mail client, and wherein the second application is one of a spreadsheet client, a calendar client and a browser client.
| 0.926597 |
6. The method of claim 1 , wherein the edges of the social network graph are weighted differently for at least two of: T-T edges that connect social network nodes representing two social network posts; T-U edges between a social network node representing a social network post and a user node representing its author; and U-U edges between nodes representing two users who are in a follows relationship.
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6. The method of claim 1 , wherein the edges of the social network graph are weighted differently for at least two of: T-T edges that connect social network nodes representing two social network posts; T-U edges between a social network node representing a social network post and a user node representing its author; and U-U edges between nodes representing two users who are in a follows relationship. 9. The method of claim 6 , wherein the social network graph includes a world node to provide connectivity between every node of the graph, U-W edges between a user node and the world node being given a low weight which is less than for the T-U and U-U edges.
| 0.824765 |
30. A computer-implemented system, comprising: one or more processors; one or more non-transitory computer readable storage media; computer readable instructions stored on the one or more non-transitory computer readable storage media which, when executed by the one or more processors, implement a first cluster configured to perform operations comprising: receiving, at a first cluster, a search query, the first cluster being a first data intake and query system; transmitting, through a firewall of either the first cluster or a cloud-based cluster, a request for information identifying a plurality of indexers of the cloud-based cluster, the cloud-based cluster being a second data intake and query system; in response to the request, obtaining, from the cloud-based cluster, the information identifying the plurality of indexers, wherein the first cluster and the cloud-based cluster each include at least one master node that is knowledgeable about active indexers within its respective cluster, and the information identifies the plurality of indexers based on the at least one master node of the cloud-based cluster identifying the active indexers; distributing the search query to the plurality of indexers of the cloud-based cluster and one or more indexers of the first cluster, said distributing using the obtained information identifying the plurality of indexers and being through the firewall; and receiving, at the first cluster, a response to the distributed search query from at least one of the plurality of indexers of the cloud-based cluster wherein each response from a respective indexer is produced by the respective indexer based on an evaluation, by the respective indexer, of the distributed search query.
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30. A computer-implemented system, comprising: one or more processors; one or more non-transitory computer readable storage media; computer readable instructions stored on the one or more non-transitory computer readable storage media which, when executed by the one or more processors, implement a first cluster configured to perform operations comprising: receiving, at a first cluster, a search query, the first cluster being a first data intake and query system; transmitting, through a firewall of either the first cluster or a cloud-based cluster, a request for information identifying a plurality of indexers of the cloud-based cluster, the cloud-based cluster being a second data intake and query system; in response to the request, obtaining, from the cloud-based cluster, the information identifying the plurality of indexers, wherein the first cluster and the cloud-based cluster each include at least one master node that is knowledgeable about active indexers within its respective cluster, and the information identifies the plurality of indexers based on the at least one master node of the cloud-based cluster identifying the active indexers; distributing the search query to the plurality of indexers of the cloud-based cluster and one or more indexers of the first cluster, said distributing using the obtained information identifying the plurality of indexers and being through the firewall; and receiving, at the first cluster, a response to the distributed search query from at least one of the plurality of indexers of the cloud-based cluster wherein each response from a respective indexer is produced by the respective indexer based on an evaluation, by the respective indexer, of the distributed search query. 46. The system as described in claim 30 , wherein said obtaining is performed by obtaining said information from a master node of the cloud-based cluster, the master node being configured to return a list of active indexers and a generation identifier that is to be used in distributing the search query, generation identifiers identifying primary and secondary indexers of the cloud-based cluster.
| 0.5 |
8. The method of claim 7 further comprising designating the third document as a source document.
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8. The method of claim 7 further comprising designating the third document as a source document. 9. The method of claim 8 further comprising: translating the third document into a third language; and automatically superseding a document in the third language with the translated third document.
| 0.942708 |
16. A method of speech recognition, comprising providing state identifiers which identify states corresponding to nodes or groups of adjacent nodes in a lexical tree, the lexical tree comprising a model of words; providing scores corresponding to said state identifiers; receiving and storing state identifiers identified by node identifiers identifying a node or group of adjacent nodes in a memory structure; looking up said memory structure to identify particular state identifiers; reading of the scores corresponding to the state identifiers; receiving score updates corresponding to particular state identifiers from a score update generating circuit which generates the score updates using audio input; modifying said scores by adding said score updates to said scores; writing back of the scores to the memory structure after modification of the scores; and selecting at least one node or group of adjacent nodes of the lexical tree according to said scores.
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16. A method of speech recognition, comprising providing state identifiers which identify states corresponding to nodes or groups of adjacent nodes in a lexical tree, the lexical tree comprising a model of words; providing scores corresponding to said state identifiers; receiving and storing state identifiers identified by node identifiers identifying a node or group of adjacent nodes in a memory structure; looking up said memory structure to identify particular state identifiers; reading of the scores corresponding to the state identifiers; receiving score updates corresponding to particular state identifiers from a score update generating circuit which generates the score updates using audio input; modifying said scores by adding said score updates to said scores; writing back of the scores to the memory structure after modification of the scores; and selecting at least one node or group of adjacent nodes of the lexical tree according to said scores. 18. The method of claim 16 , wherein the lexical tree is arranged with each node corresponding to a phone, and each said state corresponds to a phone or group of adjacent phones in the lexical tree.
| 0.699035 |
6. The method of manufacturing an electronic circuit according to claim 3 and wherein said employing a pick & place machine-specific component placement sequence, pick & place machine-specific component data for governing the operation of at least one specific pick & place machine in a manufacturing line and operating instructions in computer-readable language for said at least one specific pick & place machine to auto-generate generic component parameters for components used in manufacturing said electronic circuit on said at least one specific pick & place machine also comprises: obtaining at least one PCN for ones of said components used in manufacturing said electronic circuit; employing said at least one PCN and a type of said at least one specific pick & place machine to access relevant ones of said component manufacturer-independent, pick & place machine-specific rules; operating said ones of said component manufacturer-independent, pick & place machine-specific rules using at least one pick & place machine specific component parameter to obtain corresponding values; and assigning said values to corresponding generic component parameters.
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6. The method of manufacturing an electronic circuit according to claim 3 and wherein said employing a pick & place machine-specific component placement sequence, pick & place machine-specific component data for governing the operation of at least one specific pick & place machine in a manufacturing line and operating instructions in computer-readable language for said at least one specific pick & place machine to auto-generate generic component parameters for components used in manufacturing said electronic circuit on said at least one specific pick & place machine also comprises: obtaining at least one PCN for ones of said components used in manufacturing said electronic circuit; employing said at least one PCN and a type of said at least one specific pick & place machine to access relevant ones of said component manufacturer-independent, pick & place machine-specific rules; operating said ones of said component manufacturer-independent, pick & place machine-specific rules using at least one pick & place machine specific component parameter to obtain corresponding values; and assigning said values to corresponding generic component parameters. 8. The method of manufacturing an electronic circuit according to claim 6 and wherein: said operating comprises operating ones of said component manufacturer-independent, pick & place machine-specific rules which are suitable for auto-generation of generic component supply form parameters using at least one pick & place machine specific component supply parameter to obtain a corresponding supply form value; and said assigning comprises assigning said corresponding supply form value to a corresponding generic component supply form parameter.
| 0.5 |
2. The method of claim 1 , wherein the order of reasoning is determined by placing the rules in order from the least costly rule to the most costly rule on a stack.
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2. The method of claim 1 , wherein the order of reasoning is determined by placing the rules in order from the least costly rule to the most costly rule on a stack. 3. The method of claim 2 , wherein the stack contents are stored in the database before the evaluation of the premise, and wherein the stack is released for other calculations, the readout of the variable value enabling evaluation of the premise is expected, and after that the previous content of the stack is restored from the database.
| 0.905095 |
1. A method of speech recognition, the method comprising: receiving a speech input; transmitting the speech input to a speech recognition engine; and receiving a speech recognition result from the speech recognition engine, wherein the speech recognition engine is configured to obtain a phoneme sequence from the speech input, identify an embedding vector representative of a phoneme sequence that is closest in a phonetic distance to the obtained phoneme sequence among embedding vectors arranged on an N-dimensional embedding space, and determine, based on the identified embedding vector, the speech recognition result based on a previous phoneme sequence mapping into the N-dimensional embedding space corresponding to the identified embedding vector, wherein the identifying of the embedding vector includes identifying the embedding vector from the obtained phoneme sequence using a recognition model that is trained-based on probabilities of respective phonemes of phoneme sequences being substituted by different phonemes when pronounced, and wherein embedding vectors to which words phonetically similar to one another are mapped among the embedding vectors in the N-dimensional embedding space are positioned closer to one another than other embedding vectors on the N-dimensional embedding space.
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1. A method of speech recognition, the method comprising: receiving a speech input; transmitting the speech input to a speech recognition engine; and receiving a speech recognition result from the speech recognition engine, wherein the speech recognition engine is configured to obtain a phoneme sequence from the speech input, identify an embedding vector representative of a phoneme sequence that is closest in a phonetic distance to the obtained phoneme sequence among embedding vectors arranged on an N-dimensional embedding space, and determine, based on the identified embedding vector, the speech recognition result based on a previous phoneme sequence mapping into the N-dimensional embedding space corresponding to the identified embedding vector, wherein the identifying of the embedding vector includes identifying the embedding vector from the obtained phoneme sequence using a recognition model that is trained-based on probabilities of respective phonemes of phoneme sequences being substituted by different phonemes when pronounced, and wherein embedding vectors to which words phonetically similar to one another are mapped among the embedding vectors in the N-dimensional embedding space are positioned closer to one another than other embedding vectors on the N-dimensional embedding space. 2. The method of claim 1 , wherein the speech recognition engine comprises an inter-word distance matrix indicating phonetic distances between words determined based on phonetic similarities between phoneme sequences of the words, and wherein the determining of the speech recognition result includes using the inter-word distance matrix to determine the speech recognition result from the identified embedding vector.
| 0.573059 |
33. An article of manufacture comprising instructions that, when executed, cause a computing device to at least: extract a first audio feature from audio, the first audio feature including at least one of a rhythmic structure, a beat period, a rhythmic fluctuation, or an average tempo; extract a second audio feature from the audio, the second audio feature including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature, wherein the second audio feature is different from the first audio feature; compare the first and second audio features to a plurality of stored audio feature ranges having tags associated therewith; and determine the stored audio feature ranges matching the first and second audio features, the tags associated with the matching audio feature ranges to be used to determine semantic audio information for the audio.
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33. An article of manufacture comprising instructions that, when executed, cause a computing device to at least: extract a first audio feature from audio, the first audio feature including at least one of a rhythmic structure, a beat period, a rhythmic fluctuation, or an average tempo; extract a second audio feature from the audio, the second audio feature including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature, wherein the second audio feature is different from the first audio feature; compare the first and second audio features to a plurality of stored audio feature ranges having tags associated therewith; and determine the stored audio feature ranges matching the first and second audio features, the tags associated with the matching audio feature ranges to be used to determine semantic audio information for the audio. 34. The article of manufacture of claim 33 , wherein the temporal feature includes at least one of amplitude, power, or zero crossing of at least some of the audio.
| 0.758475 |
15. At least one non-transitory computer-readable medium having stored thereon instructions that, when executed by at least one processor, perform a method comprising acts of: segmenting an unstructured text into a plurality of text sections; using at least one processor to identify a portion of text that fully or partially identifies a section heading for a first text section of the plurality of text sections; removing, from the first text section, the portion of text that fully or partially identifies the section heading; creating a structured text comprising the first text section and the section heading for the first text section, wherein the portion of text that fully or partially identifies the section heading has been removed from the first text section; and providing the structured text to a user.
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15. At least one non-transitory computer-readable medium having stored thereon instructions that, when executed by at least one processor, perform a method comprising acts of: segmenting an unstructured text into a plurality of text sections; using at least one processor to identify a portion of text that fully or partially identifies a section heading for a first text section of the plurality of text sections; removing, from the first text section, the portion of text that fully or partially identifies the section heading; creating a structured text comprising the first text section and the section heading for the first text section, wherein the portion of text that fully or partially identifies the section heading has been removed from the first text section; and providing the structured text to a user. 16. The at least one non-transitory computer-readable medium of claim 15 , wherein the section heading is a first section heading, and wherein the method further comprises: providing to the user a plurality of alternative section headings for the first text section.
| 0.612455 |
1. A computing device comprising: at least one processor; and a memory for storing and encoding computer executable instructions that, when executed by the at least one processor are operative to: receive an utterance from a user; extract features from the utterance to form extracted features; identify that the utterance is directed to at least one of a plurality of items previously provided by the computing device to the user utilizing a language independent disambiguation model, wherein the language independent disambiguation model identifies that the utterance is directed to the at least one of the plurality of items by: identifying as universal features one or more domain independent features and language independent features in the extracted features; determining an overlap between one or more universal features extracted from the utterance and one or more features associated with the plurality of items, wherein the one or more features are identified based on metadata associated with the plurality of items; and identifying the at least one of the plurality of items corresponding to the utterance based on the overlap; and send instructions to perform an action associated with the utterance upon identifying that the utterance is directed to the at least one of the plurality of items.
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1. A computing device comprising: at least one processor; and a memory for storing and encoding computer executable instructions that, when executed by the at least one processor are operative to: receive an utterance from a user; extract features from the utterance to form extracted features; identify that the utterance is directed to at least one of a plurality of items previously provided by the computing device to the user utilizing a language independent disambiguation model, wherein the language independent disambiguation model identifies that the utterance is directed to the at least one of the plurality of items by: identifying as universal features one or more domain independent features and language independent features in the extracted features; determining an overlap between one or more universal features extracted from the utterance and one or more features associated with the plurality of items, wherein the one or more features are identified based on metadata associated with the plurality of items; and identifying the at least one of the plurality of items corresponding to the utterance based on the overlap; and send instructions to perform an action associated with the utterance upon identifying that the utterance is directed to the at least one of the plurality of items. 13. The computing device of claim 1 , wherein the action comprises: selecting the at least one item; and providing additional information about the selected at least one item.
| 0.647597 |
5. The method of claim 1 , further comprising generating a plurality of classifiers including a plurality of k-dimensional trees wherein selecting the matched files comprises selecting at least ten nearest neighbors based for each one of the plurality of k-dimensional trees.
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5. The method of claim 1 , further comprising generating a plurality of classifiers including a plurality of k-dimensional trees wherein selecting the matched files comprises selecting at least ten nearest neighbors based for each one of the plurality of k-dimensional trees. 6. The method of claim 5 , wherein associating the respective annotation with the respective second digital file includes determining for each nearest neighbor a vote based on the weight value corresponding to one or more of the respective classifiers, and associating one or more annotations to the respective second digital file based on the vote for each nearest neighbor or a sum of the votes.
| 0.922357 |
15. A non-transitory computer-readable storage medium having embodied thereon a program, the program being executable by one or more processors to perform a method, the method comprising: receiving a video stream associated with a document, the document being associated with a user; detecting an image of the document, the detecting including recognizing a shape corresponding to the document overall; improving the detected image of the document in the video stream by adjusting colors, adjusting brightness, and removing blurring; extracting the detected image of the document from the video stream, the image being a still image; analyzing the extracted image using optical character recognition to produce image data, the image data including text zones, each of the text zones being associated with one or more distances to other text zones and one or more borders of the document, the one or more distances being determined using coordinates; comparing the extracted image to one or more document templates using the image data; determining a document template having a highest degree of coincidence with the extracted image using the comparison; matching the text zones of the image with text zones of the document template to determine a type of data in each text zone; and structuring the data into a standard format to obtain structured data.
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15. A non-transitory computer-readable storage medium having embodied thereon a program, the program being executable by one or more processors to perform a method, the method comprising: receiving a video stream associated with a document, the document being associated with a user; detecting an image of the document, the detecting including recognizing a shape corresponding to the document overall; improving the detected image of the document in the video stream by adjusting colors, adjusting brightness, and removing blurring; extracting the detected image of the document from the video stream, the image being a still image; analyzing the extracted image using optical character recognition to produce image data, the image data including text zones, each of the text zones being associated with one or more distances to other text zones and one or more borders of the document, the one or more distances being determined using coordinates; comparing the extracted image to one or more document templates using the image data; determining a document template having a highest degree of coincidence with the extracted image using the comparison; matching the text zones of the image with text zones of the document template to determine a type of data in each text zone; and structuring the data into a standard format to obtain structured data. 19. The non-transitory computer-readable storage medium of claim 15 , wherein the matching is based on the coordinates of the text zones.
| 0.841255 |
4. A distributed capture system for managing legacy documents, the distributed capture system comprising: a data storage device; and a processor operatively coupled to a memory device, said data storage device, and a mobile user-input device configured to receive an input from a user, the processor being configured to, receive an electronic legacy document, wherein said electronic legacy document is one of a plurality of original electronic formats, determine whether the electronic legacy document requires a user input from the user, enable the user to input a user input via the mobile user-input device, wherein if said user input is detected, the user input is subsequently applied to the electronic legacy document pursuant to a predetermined rule, and if no user input is detected, then the processor enables the conversion of the electronic legacy document, convert the electronic legacy document, including any user input applied to the electronic legacy document, from the one of a plurality of original electronic formats to a predetermined format that is compatible with a plurality of different document management systems, said predetermined format comprising an image portion and a text portion, generate an index having a plurality of document keywords, wherein the index is generated based at least in part on the text portion associated with the electronic legacy document, access one or more document classification templates, each of said one or more document classification templates representing a different document type, wherein each of said one or more document classification templates comprises one or more template keywords, compare one or more of said document keywords with one or more of said template keywords for one or more of said document classification templates, automatically match the electronic legacy document with one or more document classification templates identified during said comparison step, automatically classify the electronic legacy document as one or more of a plurality of document types based at least in part upon the one or more document classification template matches identified during said match step, and store the electronic legacy document to said data storage device.
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4. A distributed capture system for managing legacy documents, the distributed capture system comprising: a data storage device; and a processor operatively coupled to a memory device, said data storage device, and a mobile user-input device configured to receive an input from a user, the processor being configured to, receive an electronic legacy document, wherein said electronic legacy document is one of a plurality of original electronic formats, determine whether the electronic legacy document requires a user input from the user, enable the user to input a user input via the mobile user-input device, wherein if said user input is detected, the user input is subsequently applied to the electronic legacy document pursuant to a predetermined rule, and if no user input is detected, then the processor enables the conversion of the electronic legacy document, convert the electronic legacy document, including any user input applied to the electronic legacy document, from the one of a plurality of original electronic formats to a predetermined format that is compatible with a plurality of different document management systems, said predetermined format comprising an image portion and a text portion, generate an index having a plurality of document keywords, wherein the index is generated based at least in part on the text portion associated with the electronic legacy document, access one or more document classification templates, each of said one or more document classification templates representing a different document type, wherein each of said one or more document classification templates comprises one or more template keywords, compare one or more of said document keywords with one or more of said template keywords for one or more of said document classification templates, automatically match the electronic legacy document with one or more document classification templates identified during said comparison step, automatically classify the electronic legacy document as one or more of a plurality of document types based at least in part upon the one or more document classification template matches identified during said match step, and store the electronic legacy document to said data storage device. 11. The distributed capture system of claim 4 , further comprising a display for displaying to the user the image and the text as classified and indexed by the distributed capture system.
| 0.530004 |
23. A machine accessible medium having instructions stored thereon that, when executed, cause a machine to: receive a voice input from a source during a first encounter; determine an identity of the source; perform a speech-to-text conversion on the voice input to generate a text string representing the voice input; associate the text string with the identity of the source; automatically identify and select one or more keywords from the text string, wherein the one or more keywords are associated with one or more data fields; and automatically populate the one or more data fields with the identified keywords according to values associated with the identified keywords and the identity of the source, the populated one or more data fields to be different than the text string.
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23. A machine accessible medium having instructions stored thereon that, when executed, cause a machine to: receive a voice input from a source during a first encounter; determine an identity of the source; perform a speech-to-text conversion on the voice input to generate a text string representing the voice input; associate the text string with the identity of the source; automatically identify and select one or more keywords from the text string, wherein the one or more keywords are associated with one or more data fields; and automatically populate the one or more data fields with the identified keywords according to values associated with the identified keywords and the identity of the source, the populated one or more data fields to be different than the text string. 29. The machine accessible medium as defined in claim 23 having instructions stored there on that, when executed, cause the machine to suggest a recognized text string in place of a non-recognized portion of the voice input.
| 0.585222 |
1. A method for creating a business simulation utilizing a rule-based expert system with a spreadsheet object component that includes data and calculations required for the business simulation and communication of information to provide a dynamic, goal based educational learning experience, comprising the steps of: (a) accessing the information in the spreadsheet object component of the rule-based expert system to retrieve information indicative of a goal; (b) querying a student to determine characteristics of the student; (c) integrating information based on characteristics of the student that motivates accomplishment of the goal; (d) utilizing the information in the spreadsheet object component of the rule-based expert system to integrate goal-based learning information based on characteristics of the student in a structured, dynamic business simulation designed by a profiling component to motivate accomplishment of the goal; (e) monitoring answers to questions posed to evaluate progress toward the goal utilizing the spreadsheet object component of the rule-based expert system and providing dynamic, goal-based, remediation learning information feedback from a remediation object component including a knowledge system and a software tutor comprising an artificial intelligence engine which generates individualized coaching messages to further motivate accomplishment of the goal; (f) analyzing the answers from the student utilizing system tools to compare the answers with a standard for achieving the goal; and (g) reporting progress toward the goal.
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1. A method for creating a business simulation utilizing a rule-based expert system with a spreadsheet object component that includes data and calculations required for the business simulation and communication of information to provide a dynamic, goal based educational learning experience, comprising the steps of: (a) accessing the information in the spreadsheet object component of the rule-based expert system to retrieve information indicative of a goal; (b) querying a student to determine characteristics of the student; (c) integrating information based on characteristics of the student that motivates accomplishment of the goal; (d) utilizing the information in the spreadsheet object component of the rule-based expert system to integrate goal-based learning information based on characteristics of the student in a structured, dynamic business simulation designed by a profiling component to motivate accomplishment of the goal; (e) monitoring answers to questions posed to evaluate progress toward the goal utilizing the spreadsheet object component of the rule-based expert system and providing dynamic, goal-based, remediation learning information feedback from a remediation object component including a knowledge system and a software tutor comprising an artificial intelligence engine which generates individualized coaching messages to further motivate accomplishment of the goal; (f) analyzing the answers from the student utilizing system tools to compare the answers with a standard for achieving the goal; and (g) reporting progress toward the goal. 3. A method for creating a business simulation utilizing a rule-based expert system with a spreadsheet object component to provide a goal based educational learning experience as recited in claim 1, wherein the information includes breadth of information in a first linked list.
| 0.554493 |
3. The method of claim 2 , wherein the Selectors of the particular set are DetailSelectors, further comprising evaluating the search query by acts including: a) dividing the particular set of DetailSelectors into particular subsets each consisting of all DetailSelectors from one Detail Group; b) identifying, as chosen Selector sets, all Selectors of Levels greater than 1 that have direct association links to each of the particular DetailSelectors from each particular subset; c) responsive to the query, using set operations on the chosen Selector subsets to determine the next Level of Selectors or DataItems having a direct association link to Selectors from the chosen Selector sets, and deeming such next Level Selectors or DataItems to be chosen as a result; and d) if a non-empty chosen Selector set results from(c), then repeating steps (b) and (c), replacing in (b) the particular DetailSelectors by the chosen Selector Sets resulting from (c) until all found DataItems are determined.
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3. The method of claim 2 , wherein the Selectors of the particular set are DetailSelectors, further comprising evaluating the search query by acts including: a) dividing the particular set of DetailSelectors into particular subsets each consisting of all DetailSelectors from one Detail Group; b) identifying, as chosen Selector sets, all Selectors of Levels greater than 1 that have direct association links to each of the particular DetailSelectors from each particular subset; c) responsive to the query, using set operations on the chosen Selector subsets to determine the next Level of Selectors or DataItems having a direct association link to Selectors from the chosen Selector sets, and deeming such next Level Selectors or DataItems to be chosen as a result; and d) if a non-empty chosen Selector set results from(c), then repeating steps (b) and (c), replacing in (b) the particular DetailSelectors by the chosen Selector Sets resulting from (c) until all found DataItems are determined. 4. The method of claim 3 , further determining all available Selectors at any Level by acts including: a) identifying, as an associated Selector set at level K- 1 , all Selectors that have a direct association link to any found DataItem; b) dividing the associated Selector set into associated Selector subsets each consisting of all associated Selectors in one GlueGroup; c) determine the available Selectors at a particular Level using the associated Selector subsets at the particular Level and the chosen Selector sets at the same Level.
| 0.71767 |
6. The method of claim 1 , wherein a phrase on the list is considered to be related to a single data object on the back-end server if that phrase was found only once for a data object type.
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6. The method of claim 1 , wherein a phrase on the list is considered to be related to a single data object on the back-end server if that phrase was found only once for a data object type. 7. The method of claim 6 , wherein a previous token is on this waiting list if that previous token was found more than once for that data object type and any tokens between that previous token and the token just added to the list were found more than once for that data object type.
| 0.944987 |
1. A method for knowledge extraction comprising: receiving data; identifying a process corresponding to the received data, the process being identified from a plurality of processes, the received data having a commonality with the process; identifying a knowledge of the process, the knowledge corresponding to the received data; determining categories of information for the received data utilizing the knowledge of the process; extracting information from the received data based on the categories of information, wherein extracting information from the received data generates extracted data; and creating records in a repository based on the extracted data, the records being adapted for use by a recommender, the recommender comprising a recommendation system.
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1. A method for knowledge extraction comprising: receiving data; identifying a process corresponding to the received data, the process being identified from a plurality of processes, the received data having a commonality with the process; identifying a knowledge of the process, the knowledge corresponding to the received data; determining categories of information for the received data utilizing the knowledge of the process; extracting information from the received data based on the categories of information, wherein extracting information from the received data generates extracted data; and creating records in a repository based on the extracted data, the records being adapted for use by a recommender, the recommender comprising a recommendation system. 13. The method of claim 1 , wherein the process comprises one or more of a business process, an enterprise process, a web process, a social process, and a network process.
| 0.544457 |
114. The system of claim 113 , wherein the first set includes four (4) collinear markers, and the second set includes four (4) collinear markers.
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114. The system of claim 113 , wherein the first set includes four (4) collinear markers, and the second set includes four (4) collinear markers. 125. The system of claim 114 , wherein the at least one camera collects correspondence data between image coordinates of the projective image and the plurality of collinear markers.
| 0.898256 |
3. The method of claim 1 , wherein said second representation is a textual representation formed using a markup language.
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3. The method of claim 1 , wherein said second representation is a textual representation formed using a markup language. 11. The method of claim 3 , wherein said textual representation includes a transition table.
| 0.980992 |
5. A computer-implemented method for automated internationalization and localization of program source code, the method comprising: receiving a request at a network service to internationalize and localize the program source code; and responsive to the request, identifying one or more text strings contained in the program source code, extracting the one or more text strings from the program source code, generating one or more translated text strings by translating the one or more text strings from a first human readable language to at least one second human readable language, generating internationalized and localized program source code by replacing the one or more text strings with program code for obtaining the one or more translated text strings, returning, by way of the network service, the internationalized and localized program source code in a reply to the request, determining whether one or more internationalization or localization issues are present in the program source code, responsive to determining that no internationalization or localization issues are present in the program source code, causing the program source code to be compiled to create an executable internationalized and localized program, and causing the internationalized and localized program to be deployed to at least one computing resource operating in a service provider network, and responsive to determining that internationalization or localization issues are present in the program source code, determining whether a developer has indicated that the internationalized and localized program is to be deployed even if internationalization or localization issues are present in the program source code, and causing the program source code to be compiled to create an executable internationalized and localized program if the developer has indicated that the internationalized and localized program is to be deployed even if internationalization or localization issues are present in the program source code, and causing the internationalized and localized program to be deployed to at least one computing resource operating in a service provider network.
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5. A computer-implemented method for automated internationalization and localization of program source code, the method comprising: receiving a request at a network service to internationalize and localize the program source code; and responsive to the request, identifying one or more text strings contained in the program source code, extracting the one or more text strings from the program source code, generating one or more translated text strings by translating the one or more text strings from a first human readable language to at least one second human readable language, generating internationalized and localized program source code by replacing the one or more text strings with program code for obtaining the one or more translated text strings, returning, by way of the network service, the internationalized and localized program source code in a reply to the request, determining whether one or more internationalization or localization issues are present in the program source code, responsive to determining that no internationalization or localization issues are present in the program source code, causing the program source code to be compiled to create an executable internationalized and localized program, and causing the internationalized and localized program to be deployed to at least one computing resource operating in a service provider network, and responsive to determining that internationalization or localization issues are present in the program source code, determining whether a developer has indicated that the internationalized and localized program is to be deployed even if internationalization or localization issues are present in the program source code, and causing the program source code to be compiled to create an executable internationalized and localized program if the developer has indicated that the internationalized and localized program is to be deployed even if internationalization or localization issues are present in the program source code, and causing the internationalized and localized program to be deployed to at least one computing resource operating in a service provider network. 9. The computer-implemented method of claim 5 , wherein the one or more translated text strings are generated by a network service configured to generate the one or more translated text strings utilizing statistical machine translation.
| 0.593657 |
1. A method for generating, on a computer system, a multi-threaded Cobol program executable from an original Cobol source program written in Cobol programming language, the multi-threaded Cobol program executable functioning in a manner described by the original Cobol source program, the original Cobol source program described by original Cobol source program statements stored in one or more program files residing on the computer system, the original Cobol source program statements including: original Cobol variable declaration statements describing original Cobol variables with original Cobol variable names and associated Cobol data types, original Cobol program statements specifying functionality of the original Cobol source program, and, optional original Cobol comment statements, the method comprising the steps of: A) inserting, into the original Cobol source program, original parallelization directives which designate regions of parallelization within the original Cobol source program, the original Cobol source program together with the original parallelization directives forming an annotated Cobol source program, stored on the computer system; B) compiling a first time by a first compiler the annotated Cobol source program obtained in step A, the compiling by the first compiler being carried out by performing a parallel aware analysis and translation operation and generating as output, a directly related intermediate computer program in a second computer programming language which includes both intermediate program statements directly related to the original program statements and intermediate parallelization directives directly related to the original parallelization directives; and, C) compiling a second time with a selected second compiler, the intermediate computer program in the second computer programming language generated in step B, to generate as output, the multi-threaded Cobol program executable, the selected second compiler including support for program input in the second computer programming language, and further support for application of the intermediate parallelization directives.
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1. A method for generating, on a computer system, a multi-threaded Cobol program executable from an original Cobol source program written in Cobol programming language, the multi-threaded Cobol program executable functioning in a manner described by the original Cobol source program, the original Cobol source program described by original Cobol source program statements stored in one or more program files residing on the computer system, the original Cobol source program statements including: original Cobol variable declaration statements describing original Cobol variables with original Cobol variable names and associated Cobol data types, original Cobol program statements specifying functionality of the original Cobol source program, and, optional original Cobol comment statements, the method comprising the steps of: A) inserting, into the original Cobol source program, original parallelization directives which designate regions of parallelization within the original Cobol source program, the original Cobol source program together with the original parallelization directives forming an annotated Cobol source program, stored on the computer system; B) compiling a first time by a first compiler the annotated Cobol source program obtained in step A, the compiling by the first compiler being carried out by performing a parallel aware analysis and translation operation and generating as output, a directly related intermediate computer program in a second computer programming language which includes both intermediate program statements directly related to the original program statements and intermediate parallelization directives directly related to the original parallelization directives; and, C) compiling a second time with a selected second compiler, the intermediate computer program in the second computer programming language generated in step B, to generate as output, the multi-threaded Cobol program executable, the selected second compiler including support for program input in the second computer programming language, and further support for application of the intermediate parallelization directives. 7. The method of claim 1 wherein the compiling of the intermediate computer program in the second computer programming language by the selected second compiler in step C is further controlled by the computer system so that the multi-threaded Cobol program executable includes within the executable information that enables debugging and analysis of the executable using the variable names.
| 0.577798 |
1. A system for bilingual communication between a first party and a second party through a remote live interpreter, comprising: a portable device for the first party communicating in a first language at a location-specific site comprising a microphone, an ear phone for the first party, a display screen, and a camera, wherein the portable device is configured to transmit via an internet network a request for a live interpreter of a selected different language to a network server that maintains a database of interpreters and languages able to be interpreted by interpreters, wherein the portable device for the first party receives user input indicative of identification of a communication device for a second party communicating in the selected different language at the location-specific site with the first party, wherein the portable device receives a second party communication in the selected different language from the communication device for the second party; and wherein, in response to the request for the live interpreter of the selected different language, the portable device establishes a connection via the internet network with a third party communication device for the remote live interpreter at a remote site and in communication with the network server, wherein the portable device transmits to the third party communication device a first party communication in the first language from the first party and the second party communication in the selected different language from the second party, and wherein the portable device is configured to transmit to the third party communication device an encrypted transmission of the second party communication in the selected different language and to receive from the third party communication device an encrypted transmission of the second party communication in the first language for output at the ear phone for the first party.
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1. A system for bilingual communication between a first party and a second party through a remote live interpreter, comprising: a portable device for the first party communicating in a first language at a location-specific site comprising a microphone, an ear phone for the first party, a display screen, and a camera, wherein the portable device is configured to transmit via an internet network a request for a live interpreter of a selected different language to a network server that maintains a database of interpreters and languages able to be interpreted by interpreters, wherein the portable device for the first party receives user input indicative of identification of a communication device for a second party communicating in the selected different language at the location-specific site with the first party, wherein the portable device receives a second party communication in the selected different language from the communication device for the second party; and wherein, in response to the request for the live interpreter of the selected different language, the portable device establishes a connection via the internet network with a third party communication device for the remote live interpreter at a remote site and in communication with the network server, wherein the portable device transmits to the third party communication device a first party communication in the first language from the first party and the second party communication in the selected different language from the second party, and wherein the portable device is configured to transmit to the third party communication device an encrypted transmission of the second party communication in the selected different language and to receive from the third party communication device an encrypted transmission of the second party communication in the first language for output at the ear phone for the first party. 9. The system of claim 1 , wherein the portable device establishes the connection via the internet network with the third party communication device that is configured to record the transmissions to and from the remote live interpreter.
| 0.575107 |
13. A computer program product for compressing domain-related data, the computer program product comprising: one or more computer-readable tangible storage devices; program instructions, stored on at least one of the one or more storage devices, to retrieve data pertaining to a subject matter domain, forming the domain-related data; program instructions, stored on at least one of the one or more storage devices, to receive, forming a set of seeds, a set of text strings, wherein a text string forms a seed, and wherein the seed is derived from a domain topology; program instructions, stored on at least one of the one or more storage devices, to receive a description of a linguistic structure present in a language of the domain-related data; program instructions, stored on at least one of the one or more storage devices, to receive a statistical model applicable to the domain-related data; program instructions, stored on at least one of the one or more storage devices, to extract, using a processor and a memory, a set of portions of the domain-related data, a portion in the set of portions forming a nugget, and the set of portions forming a set of nuggets, wherein a nugget matches the statistical model according to a criterion, and wherein the nugget conforms to the linguistic structure within a threshold degree; program instructions, stored on at least one of the one or more storage devices, to score a nugget in the set of nuggets according to a subset of a set of features found in the nuggets; program instructions, stored on at least one of the one or more storage devices, to select a subset of nuggets, the subset including the scored nugget, wherein a score of each nugget included in the subset of nuggets exceeds a score threshold; program instructions, stored on at least one of the one or more storage devices, to combine the subset of nuggets to form a pseudo-document; and program instructions, stored on at least one of the one or more storage devices, to submit the pseudo-document to an application for answering a question related to the domain.
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13. A computer program product for compressing domain-related data, the computer program product comprising: one or more computer-readable tangible storage devices; program instructions, stored on at least one of the one or more storage devices, to retrieve data pertaining to a subject matter domain, forming the domain-related data; program instructions, stored on at least one of the one or more storage devices, to receive, forming a set of seeds, a set of text strings, wherein a text string forms a seed, and wherein the seed is derived from a domain topology; program instructions, stored on at least one of the one or more storage devices, to receive a description of a linguistic structure present in a language of the domain-related data; program instructions, stored on at least one of the one or more storage devices, to receive a statistical model applicable to the domain-related data; program instructions, stored on at least one of the one or more storage devices, to extract, using a processor and a memory, a set of portions of the domain-related data, a portion in the set of portions forming a nugget, and the set of portions forming a set of nuggets, wherein a nugget matches the statistical model according to a criterion, and wherein the nugget conforms to the linguistic structure within a threshold degree; program instructions, stored on at least one of the one or more storage devices, to score a nugget in the set of nuggets according to a subset of a set of features found in the nuggets; program instructions, stored on at least one of the one or more storage devices, to select a subset of nuggets, the subset including the scored nugget, wherein a score of each nugget included in the subset of nuggets exceeds a score threshold; program instructions, stored on at least one of the one or more storage devices, to combine the subset of nuggets to form a pseudo-document; and program instructions, stored on at least one of the one or more storage devices, to submit the pseudo-document to an application for answering a question related to the domain. 16. The computer program product of claim 13 , further comprising: program instructions, stored on at least one of the one or more storage devices, to receive the score threshold; and program instructions, stored on at least one of the one or more storage devices, to adjust one of (i) the criterion, (ii) the threshold degree, and (iii) the score threshold, to achieve a different result in using the pseudo-document.
| 0.5 |
8. A system comprising: a processor; a memory coupled to the processor; and a processing program stored in the memory for execution by the processor, the processing program comprising: an analysis module, the analysis module configured to analyze a cluster of conceptually-related portions of text to identify a probability for each of the one or more portions of texts within the first cluster of conceptually-related portions of text, wherein the first cluster of conceptually-related portions of text comprises one or more financial documents and each of the one or more financial documents comprises one or more financial document sections' and each of the one or more financial document sections comprises one or more sentences, and wherein the probability is calculated based on the number of occurrences of a given token of a given sentence of a given financial document of the first cluster of conceptually-related portions of text and to develop a model based on the one or more probabilities corresponding to the one or more portions of texts within the first cluster of conceptually-related portions of text; a novelty module, the novelty module configured to calculate an abnormality score for each of the one or more sentences of the one or more financial document sections of a first identified conceptually-related portion of text as compared to the model; and a transmission module, the transmission module configured to transmit a second identified conceptually-related portion of text based upon the abnormality score satisfying a threshold.
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8. A system comprising: a processor; a memory coupled to the processor; and a processing program stored in the memory for execution by the processor, the processing program comprising: an analysis module, the analysis module configured to analyze a cluster of conceptually-related portions of text to identify a probability for each of the one or more portions of texts within the first cluster of conceptually-related portions of text, wherein the first cluster of conceptually-related portions of text comprises one or more financial documents and each of the one or more financial documents comprises one or more financial document sections' and each of the one or more financial document sections comprises one or more sentences, and wherein the probability is calculated based on the number of occurrences of a given token of a given sentence of a given financial document of the first cluster of conceptually-related portions of text and to develop a model based on the one or more probabilities corresponding to the one or more portions of texts within the first cluster of conceptually-related portions of text; a novelty module, the novelty module configured to calculate an abnormality score for each of the one or more sentences of the one or more financial document sections of a first identified conceptually-related portion of text as compared to the model; and a transmission module, the transmission module configured to transmit a second identified conceptually-related portion of text based upon the abnormality score satisfying a threshold. 9. The system of claim 8 , wherein the first cluster of conceptually-related portions of text is generated by aggregating one or more financial documents according to an assigned key value.
| 0.5 |
18. A system, comprising: a plurality of processing devices in data communication, wherein the processing devices are operable to: for each representation of a plurality of representations of predictive models, selecting a model implementation from a plurality of model implementation for the representation, wherein each representation comprises a description of a respective predictive model; associating each of the model implementations with a respective node in a directed graph wherein for one or more ordered pairs of nodes in the graph the prediction output of a model implementation associated with a first node in the pair serves as input to a model implementation associated with a second node in the pair, wherein: for at least a first node in the directed graph the system realizes the node by special purpose circuitry, and a model implementation associated with the first node and configured to be executed by the special purpose circuitry is selected for the first node based on its configuration to be executed by the special purpose circuitry; and for at least a second node in the directed graph the system realizes the node by a general purpose microprocessor, and a model implementation associated with the second node and configured to be executed by the general purpose microprocessor is selected for the second node based on its configuration to be executed by the general purpose microprocessor.
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18. A system, comprising: a plurality of processing devices in data communication, wherein the processing devices are operable to: for each representation of a plurality of representations of predictive models, selecting a model implementation from a plurality of model implementation for the representation, wherein each representation comprises a description of a respective predictive model; associating each of the model implementations with a respective node in a directed graph wherein for one or more ordered pairs of nodes in the graph the prediction output of a model implementation associated with a first node in the pair serves as input to a model implementation associated with a second node in the pair, wherein: for at least a first node in the directed graph the system realizes the node by special purpose circuitry, and a model implementation associated with the first node and configured to be executed by the special purpose circuitry is selected for the first node based on its configuration to be executed by the special purpose circuitry; and for at least a second node in the directed graph the system realizes the node by a general purpose microprocessor, and a model implementation associated with the second node and configured to be executed by the general purpose microprocessor is selected for the second node based on its configuration to be executed by the general purpose microprocessor. 19. The system of claim 18 , further comprising: determining, from the directed graph, a subset of model implementations that can be executed in parallel based on edge dependencies in the directed graph; and causing the models in the subset of model implementations to be executed in parallel.
| 0.567683 |
1. A method of modifying a set of rules of a payment transaction system, the method comprising: in response to a transaction initiated with a payment card of a user, electronically receiving from a point of sale terminal a transaction request or an authorization request associated with the transaction; responsive to the transaction request or authorization request, electronically transmitting to a first electronic device associated with the user a request for input from the user; using a second computing device associated with an entity different from the user, receiving the input from the user, wherein the second computing device is programmed to apply a set of rules associated with the payment card of the user; applying the set of rules to the transaction request or authorization request; responsive to the received input from the user, automatically modifying, using the second computing device, the set of rules based on the received input from the user for application of the modified set of rules to a future transaction, a future transaction request, or a future authorization request associated with the user; applying the modified set of rules to the future transaction, the future transaction request or the future authorization request associated with the user; and modifying one or more rules from the set of rules based on additional input provided by the user prior to the transaction.
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1. A method of modifying a set of rules of a payment transaction system, the method comprising: in response to a transaction initiated with a payment card of a user, electronically receiving from a point of sale terminal a transaction request or an authorization request associated with the transaction; responsive to the transaction request or authorization request, electronically transmitting to a first electronic device associated with the user a request for input from the user; using a second computing device associated with an entity different from the user, receiving the input from the user, wherein the second computing device is programmed to apply a set of rules associated with the payment card of the user; applying the set of rules to the transaction request or authorization request; responsive to the received input from the user, automatically modifying, using the second computing device, the set of rules based on the received input from the user for application of the modified set of rules to a future transaction, a future transaction request, or a future authorization request associated with the user; applying the modified set of rules to the future transaction, the future transaction request or the future authorization request associated with the user; and modifying one or more rules from the set of rules based on additional input provided by the user prior to the transaction. 6. The method of claim 1 , wherein the input from the user includes information about the user's context, including location, movement, environment or other contextual information.
| 0.61361 |
1. A method, in a data processing system comprising a processor and a memory, for generating an answer for an input question when the answer is not directly present in a corpus of information, the method comprising: receiving, in the data processing system, an input question from a computing device; processing, by the data processing system, the input question to generate a first set of candidate answers to the input question and corresponding confidence scores for each candidate answer in the first set of candidate answers; determining, by the data processing system, whether at least one of the candidate answers in the first set of candidate answers has a corresponding confidence score equaling or exceeding a minimum confidence score value, wherein the answer to the input question is determined to not be directly provided in the corpus of information with a predetermined level of confidence if none of the candidate answers in the first set of candidate answers has a corresponding confidence score equaling or exceeding the minimum confidence score value; and in response to the answer to the input question not being directly provided in the corpus of information with the predetermined level of confidence: analyzing, by the data processing system, the input question to determine whether the input question is requesting an answer that is calculable at least by: determining a domain of the input question, wherein the domain indicates a subject matter area context of the input question, and wherein the domain is one of a plurality of domains for which input questions are received by the data processing system; and invoking one or more domain specific annotators, corresponding to the determined domain, to analyze the input question, wherein the one or more domain specific annotators are configured to identify domain specific terms or phrases, specific to the determined domain of the input question, which are indicative of the answer being calculable; and in response to a determination that the input question is requesting an answer that is calculable: retrieving, by the data processing system, from a corpus of information, one or more constituent data values for calculating the requested answer to the input question; calculating a value corresponding to the requested answer based on the one or more retrieved constituent data values; and outputting, by the data processing system, the calculated value as the requested answer to the input question, wherein calculating the value corresponding to the requested answer comprises invoking the one or more domain specific annotators to perform domain specific calculations to generate domain specific calculable values that are specific to the determined domain of the input question, and wherein different domains are associated with different sets of domain specific terms or phrases and domain specific calculable values.
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1. A method, in a data processing system comprising a processor and a memory, for generating an answer for an input question when the answer is not directly present in a corpus of information, the method comprising: receiving, in the data processing system, an input question from a computing device; processing, by the data processing system, the input question to generate a first set of candidate answers to the input question and corresponding confidence scores for each candidate answer in the first set of candidate answers; determining, by the data processing system, whether at least one of the candidate answers in the first set of candidate answers has a corresponding confidence score equaling or exceeding a minimum confidence score value, wherein the answer to the input question is determined to not be directly provided in the corpus of information with a predetermined level of confidence if none of the candidate answers in the first set of candidate answers has a corresponding confidence score equaling or exceeding the minimum confidence score value; and in response to the answer to the input question not being directly provided in the corpus of information with the predetermined level of confidence: analyzing, by the data processing system, the input question to determine whether the input question is requesting an answer that is calculable at least by: determining a domain of the input question, wherein the domain indicates a subject matter area context of the input question, and wherein the domain is one of a plurality of domains for which input questions are received by the data processing system; and invoking one or more domain specific annotators, corresponding to the determined domain, to analyze the input question, wherein the one or more domain specific annotators are configured to identify domain specific terms or phrases, specific to the determined domain of the input question, which are indicative of the answer being calculable; and in response to a determination that the input question is requesting an answer that is calculable: retrieving, by the data processing system, from a corpus of information, one or more constituent data values for calculating the requested answer to the input question; calculating a value corresponding to the requested answer based on the one or more retrieved constituent data values; and outputting, by the data processing system, the calculated value as the requested answer to the input question, wherein calculating the value corresponding to the requested answer comprises invoking the one or more domain specific annotators to perform domain specific calculations to generate domain specific calculable values that are specific to the determined domain of the input question, and wherein different domains are associated with different sets of domain specific terms or phrases and domain specific calculable values. 5. The method of claim 1 , wherein analyzing the input question to determine whether the input question is requesting an answer that is calculable comprises analyzing the input question to identify one or more predetermined terms or phrases corresponding to a mathematically generated value.
| 0.500516 |
1. One or more computer-readable memories comprising processor-executable instructions which, when executed by one or more processors disposed in a local device, cause the processors to: expose a user interface (UI) on the local device for initiating real-time sharing of content during an active phone call between the local device and a remote device; receive input at a digital assistant instantiated on the local device; parse, at the digital assistant and during the active phone call, the input to identify a selection of content that was referenced in the input from among a collection of shareable content, the collection of shareable content being locally available to the local device or available to the local device from a remote source; receive the selection of content for sharing based on the parsed input; populate a portion of the UI on the local device with pre-staged content selected for sharing but is yet to be shared with the remote device; enable within the portion of the UI, preparation of a presentation of the pre-staged content while preventing the remote device from displaying the pre-staged content; receive an instruction to move the pre-staged content to an active sharing window; move the pre-staged content to the active sharing window that displays the presently shared content while enabling the local device to control pacing of the presentation of content items within the pre-staged content with the remote device; provide highlighting tools on the local device for highlighting portions of the presently shared content in the active sharing window; and provide tools on the local device for creating credits for portions of the presently shared content in the active sharing window, the credits including one or more of animation, identification of shared content that is tagged, links to related content, or links to related user experiences.
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1. One or more computer-readable memories comprising processor-executable instructions which, when executed by one or more processors disposed in a local device, cause the processors to: expose a user interface (UI) on the local device for initiating real-time sharing of content during an active phone call between the local device and a remote device; receive input at a digital assistant instantiated on the local device; parse, at the digital assistant and during the active phone call, the input to identify a selection of content that was referenced in the input from among a collection of shareable content, the collection of shareable content being locally available to the local device or available to the local device from a remote source; receive the selection of content for sharing based on the parsed input; populate a portion of the UI on the local device with pre-staged content selected for sharing but is yet to be shared with the remote device; enable within the portion of the UI, preparation of a presentation of the pre-staged content while preventing the remote device from displaying the pre-staged content; receive an instruction to move the pre-staged content to an active sharing window; move the pre-staged content to the active sharing window that displays the presently shared content while enabling the local device to control pacing of the presentation of content items within the pre-staged content with the remote device; provide highlighting tools on the local device for highlighting portions of the presently shared content in the active sharing window; and provide tools on the local device for creating credits for portions of the presently shared content in the active sharing window, the credits including one or more of animation, identification of shared content that is tagged, links to related content, or links to related user experiences. 10. The one or more computer-readable memories of claim 1 further comprising providing highlighting tools including tools for at least the application of graphics or tools for text annotations.
| 0.598873 |
8. A method for manuscript generation comprising: inputting by a user into an input interface, a plurality of instructions for a manuscript, said user inputting said instructions according to a first electronic format, said manuscript being in said first electronic format; converting by a converter, upon activation by said user, said manuscript in said first electronic format to a new manuscript in a second electronic format, and inputting, by said user after said converting, another instruction for said new manuscript in said second electronic format, wherein said manuscript has at least one scene instruction and at least one dialogue instruction, said at least one scene instruction and at least one dialogue instruction being converted into said second electronic format in said new manuscript.
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8. A method for manuscript generation comprising: inputting by a user into an input interface, a plurality of instructions for a manuscript, said user inputting said instructions according to a first electronic format, said manuscript being in said first electronic format; converting by a converter, upon activation by said user, said manuscript in said first electronic format to a new manuscript in a second electronic format, and inputting, by said user after said converting, another instruction for said new manuscript in said second electronic format, wherein said manuscript has at least one scene instruction and at least one dialogue instruction, said at least one scene instruction and at least one dialogue instruction being converted into said second electronic format in said new manuscript. 14. The method according to claim 8 , wherein said converter is automatically actuated by said user using a command interface, said command interface being selected from the group consisting of a mouse, a finger on a touch screen, a PC command, a voice command, and combinations thereof.
| 0.585474 |
10. The method of claim 1 wherein the computing device has a user, and wherein the identified attribute is information reflecting an aspect of the user.
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10. The method of claim 1 wherein the computing device has a user, and wherein the identified attribute is information reflecting an aspect of the user. 11. The method of claim 10 wherein the user has a blood pressure, wherein the identified attribute is the blood pressure of the user.
| 0.948816 |
7. The method for intelligent database retrieval of claim 1 , wherein the step of structuring the related knowledge search is based upon a current behavior of the user, wherein the current behavior is a current deployment of a software application tool function in the system by the user.
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7. The method for intelligent database retrieval of claim 1 , wherein the step of structuring the related knowledge search is based upon a current behavior of the user, wherein the current behavior is a current deployment of a software application tool function in the system by the user. 15. The method for intelligent database retrieval of claim 7 , wherein the results of the free-form inquiry and the related knowledge search are formatted based upon the current behavior.
| 0.89986 |
1. A computing system comprising: an electronic display configured to display items of textual information, the items of textual information including one or more headings; a microphone configured to receive audio input from a user of the computing system; one or more computer processors in communication with the electronic display and the microphone and configured to execute software instructions; and one or more storage devices in communication with the one or more computer processors and storing a rule set and software instructions, wherein the rule set includes selected text action rules, and wherein the software instructions are configured for execution by the one or more computer processors in order to cause the system to: display, on the electronic display, the items of textual information to the user; receive, from the user via the microphone, an audio input including at least a command and a heading identifier; in response to receiving the command and the heading identifier, determine, based on the rule set, a first item of textual information following a heading associated with the heading identifier, wherein the first item of textual information includes one or more subheadings; select, based on the rule set, the first item of textual information; and in response to determining, based on the selected text action rules, that the first item of textual information is to be deleted or replaced: determine the one or more subheadings and textual information associated with each of the one or more subheadings; and delete or replace the textual information associated with each of the one or more subheadings but not the one or more subheadings.
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1. A computing system comprising: an electronic display configured to display items of textual information, the items of textual information including one or more headings; a microphone configured to receive audio input from a user of the computing system; one or more computer processors in communication with the electronic display and the microphone and configured to execute software instructions; and one or more storage devices in communication with the one or more computer processors and storing a rule set and software instructions, wherein the rule set includes selected text action rules, and wherein the software instructions are configured for execution by the one or more computer processors in order to cause the system to: display, on the electronic display, the items of textual information to the user; receive, from the user via the microphone, an audio input including at least a command and a heading identifier; in response to receiving the command and the heading identifier, determine, based on the rule set, a first item of textual information following a heading associated with the heading identifier, wherein the first item of textual information includes one or more subheadings; select, based on the rule set, the first item of textual information; and in response to determining, based on the selected text action rules, that the first item of textual information is to be deleted or replaced: determine the one or more subheadings and textual information associated with each of the one or more subheadings; and delete or replace the textual information associated with each of the one or more subheadings but not the one or more subheadings. 3. The computing system of claim 1 , wherein the rule set further includes text selection rules, and wherein the first item of textual information is determined based on the text selection rules.
| 0.552378 |
1. A computer-implemented method comprising: storing, in a database, a predefined catalog of venue attributes describing sections of a venue utilized for comparing tickets for the venue that are listed for sale in the database, wherein one or more ticket attributes of a ticket provided by a seller must match a venue attribute in the predefined catalog in order to display a ticket listing for offering the ticket provided by the seller for sale to other users; presenting a graphical user interface to a computer of the seller for receiving a character string representing one or more ticket attributes of a ticket provided by the seller; accepting the character string as entered by the seller; comparing the character string as entered by the seller to the predefined catalog of venue attributes stored in the database; determining if the character string as entered by the seller corresponds to terminology for venue attributes utilized by the predefined catalog in the database for comparing tickets for the venue that are listed for sale in the database; if the character string as entered by the seller does not correspond to terminology for venue attributes utilized by the predefined catalog in the database for comparing tickets for the venue that are listed for sale in the database applying an initial rule in a set of pre-defined rules to the character string to edit the character string prior to reporting an unsuccessful match; and after applying the initial rule: determining if the character string corresponds to terminology for venue attributes utilized by the predefined catalog in the database for comparing tickets for the venue that are listed for sale in the database after applying the initial rule; if the character string does not correspond to the terminology for venue attributes utilized by the predefined catalog in the database for comparing tickets for the venue that are listed for sale in the database, applying one or more subsequent rules in the set of pre-defined rules to further modify the character string and determining whether the character string corresponds to the terminology for venue attributes utilized by the predefined catalog in the database for comparing tickets for the venue that are listed for sale in the database after applying each subsequent rule; and if all of the pre-defined rules have been applied and it was never determined that the character string corresponds to the terminology for venue attributes utilized by the predefined catalog in the database for comparing tickets for the venue that are listed for sale in the database, then reporting an unsuccessful match; and if the character string as entered or as modified by any one or more of the pre-defined rules corresponds to the terminology for venue attributes utilized by the predefined catalog in the database for comparing tickets for the venue that are listed for sale in the database: associating the character string with an identifier corresponding to a venue attribute utilized by the predefined catalog in the database for comparing tickets for the venue that are listed for sale that corresponds to the character string of the ticket provided by the seller; and determining a location for displaying the ticket listing for offering the ticket provided by the seller for sale to other users with ticket listings of like tickets that have been provided by other sellers and are listed for sale in the database.
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1. A computer-implemented method comprising: storing, in a database, a predefined catalog of venue attributes describing sections of a venue utilized for comparing tickets for the venue that are listed for sale in the database, wherein one or more ticket attributes of a ticket provided by a seller must match a venue attribute in the predefined catalog in order to display a ticket listing for offering the ticket provided by the seller for sale to other users; presenting a graphical user interface to a computer of the seller for receiving a character string representing one or more ticket attributes of a ticket provided by the seller; accepting the character string as entered by the seller; comparing the character string as entered by the seller to the predefined catalog of venue attributes stored in the database; determining if the character string as entered by the seller corresponds to terminology for venue attributes utilized by the predefined catalog in the database for comparing tickets for the venue that are listed for sale in the database; if the character string as entered by the seller does not correspond to terminology for venue attributes utilized by the predefined catalog in the database for comparing tickets for the venue that are listed for sale in the database applying an initial rule in a set of pre-defined rules to the character string to edit the character string prior to reporting an unsuccessful match; and after applying the initial rule: determining if the character string corresponds to terminology for venue attributes utilized by the predefined catalog in the database for comparing tickets for the venue that are listed for sale in the database after applying the initial rule; if the character string does not correspond to the terminology for venue attributes utilized by the predefined catalog in the database for comparing tickets for the venue that are listed for sale in the database, applying one or more subsequent rules in the set of pre-defined rules to further modify the character string and determining whether the character string corresponds to the terminology for venue attributes utilized by the predefined catalog in the database for comparing tickets for the venue that are listed for sale in the database after applying each subsequent rule; and if all of the pre-defined rules have been applied and it was never determined that the character string corresponds to the terminology for venue attributes utilized by the predefined catalog in the database for comparing tickets for the venue that are listed for sale in the database, then reporting an unsuccessful match; and if the character string as entered or as modified by any one or more of the pre-defined rules corresponds to the terminology for venue attributes utilized by the predefined catalog in the database for comparing tickets for the venue that are listed for sale in the database: associating the character string with an identifier corresponding to a venue attribute utilized by the predefined catalog in the database for comparing tickets for the venue that are listed for sale that corresponds to the character string of the ticket provided by the seller; and determining a location for displaying the ticket listing for offering the ticket provided by the seller for sale to other users with ticket listings of like tickets that have been provided by other sellers and are listed for sale in the database. 7. The method of claim 1 , further comprising: if it was never determined that the character string corresponds to terminology for venue attributes utilized by the predefined catalog in the database for comparing tickets for the venue that are listed for sale in the database, updating the terminology for venue attributes utilized by the predefined catalog in the database for comparing tickets for the venue that are listed for sale in the database to include the character string or an alternate version of the character string.
| 0.663717 |
1. A product comprising: a memory; instructions stored in the memory that, when executed, cause a computer processor to: obtain preliminary data from a user defining a business offering and at least one geographic region associated with the business offering; generate a multi-tiered question set based on the preliminary data, comprising: generating a custom set of first tier questions customized to the at least one geographic region associated with the business offering based on the preliminary data and obtaining a set of answers in response to the custom set of first tier questions from the user; generating a first database query based on the set of answers to the custom set of first tier questions from the user; querying a database based on the generated first database query, wherein the database returns security compliance requirements information; generating a custom set of second tier questions customized to the set of answers to the custom set of first tier questions and obtaining a set of answers to the custom set of second tier questions; generate a second database query based on the preliminary data and the sets of answers to the custom set of first tier questions and the custom set of second tier questions; querying the database based on the generated second database query; obtaining from the queried database, in response to the second database query, a set of configuration control requirements imported from a unified compliance framework (UCF) database and tailored to the business offering, wherein the queried database comprises the set of configuration control requirements, authority documents and authority document's citations, wherein the UCF database comprises the set of configuration control requirements and other configuration control requirements, wherein the set of configuration control requirements and other configuration control requirements comprise behavioral and/or procedural requirements for the business offering and other business offerings, respectively; providing the results to the user; and integrating the other configuration control requirements from the UCF database with the queried database by: importing, through a communications interface, a UCF file comprising the other configuration control requirements, wherein the other configuration control requirements comprise new configuration control requirements; identifying a file type of the UCF file from multiple file types including a compressed file type and uncompressed file type, and: when the file type of the UCF file is a compressed file type, extracting the other configuration control requirements from the UCF file; identifying the new configuration control requirements by: comparing the other configuration control requirements with the authority documents and the authority document's citations in the queried database; and determining that the new configuration control requirements are not identified by the authority documents and the authority document's citations; and inserting the new configuration control requirements into the queried database.
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1. A product comprising: a memory; instructions stored in the memory that, when executed, cause a computer processor to: obtain preliminary data from a user defining a business offering and at least one geographic region associated with the business offering; generate a multi-tiered question set based on the preliminary data, comprising: generating a custom set of first tier questions customized to the at least one geographic region associated with the business offering based on the preliminary data and obtaining a set of answers in response to the custom set of first tier questions from the user; generating a first database query based on the set of answers to the custom set of first tier questions from the user; querying a database based on the generated first database query, wherein the database returns security compliance requirements information; generating a custom set of second tier questions customized to the set of answers to the custom set of first tier questions and obtaining a set of answers to the custom set of second tier questions; generate a second database query based on the preliminary data and the sets of answers to the custom set of first tier questions and the custom set of second tier questions; querying the database based on the generated second database query; obtaining from the queried database, in response to the second database query, a set of configuration control requirements imported from a unified compliance framework (UCF) database and tailored to the business offering, wherein the queried database comprises the set of configuration control requirements, authority documents and authority document's citations, wherein the UCF database comprises the set of configuration control requirements and other configuration control requirements, wherein the set of configuration control requirements and other configuration control requirements comprise behavioral and/or procedural requirements for the business offering and other business offerings, respectively; providing the results to the user; and integrating the other configuration control requirements from the UCF database with the queried database by: importing, through a communications interface, a UCF file comprising the other configuration control requirements, wherein the other configuration control requirements comprise new configuration control requirements; identifying a file type of the UCF file from multiple file types including a compressed file type and uncompressed file type, and: when the file type of the UCF file is a compressed file type, extracting the other configuration control requirements from the UCF file; identifying the new configuration control requirements by: comparing the other configuration control requirements with the authority documents and the authority document's citations in the queried database; and determining that the new configuration control requirements are not identified by the authority documents and the authority document's citations; and inserting the new configuration control requirements into the queried database. 2. The product of claim 1 , wherein the custom set of second tier questions comprise questions related to industry leading practices.
| 0.526515 |
1. A method of semantically representing a target entity using a semantic object, the method comprising: identifying a set of meta-tags having associated metadata entries to represent attributes associated with the target entity in the semantic object, the semantic object being stored on a computer-readable storage medium; wherein at least one meta-tag of the set of meta-tags is defined using an ontology; storing in a metadata entry in the semantic object on the computer-readable storage medium an attribute including an access policy that specifies how the semantic object is shared over a network; sharing, over a network, the semantic object with a user via a computational device in accordance with the access policy of the semantic object; displaying the semantic object on a display screen of the computational device; creating a second semantic object to represent information resource or tacit information, the second semantic object comprising meta-tags which identify semantic information and rules regarding at least one of: how the second semantic object (i) interacts with, (ii) is manipulated by, and (iii) is displayed to human beings and automated processes; seeking to detect the information resource containing information that is represented by the second semantic object; linking the second semantic object to the information resource to represent the information resource using the second semantic object; wherein the second semantic object is configured to have a link to or from any number of other semantic objects.
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1. A method of semantically representing a target entity using a semantic object, the method comprising: identifying a set of meta-tags having associated metadata entries to represent attributes associated with the target entity in the semantic object, the semantic object being stored on a computer-readable storage medium; wherein at least one meta-tag of the set of meta-tags is defined using an ontology; storing in a metadata entry in the semantic object on the computer-readable storage medium an attribute including an access policy that specifies how the semantic object is shared over a network; sharing, over a network, the semantic object with a user via a computational device in accordance with the access policy of the semantic object; displaying the semantic object on a display screen of the computational device; creating a second semantic object to represent information resource or tacit information, the second semantic object comprising meta-tags which identify semantic information and rules regarding at least one of: how the second semantic object (i) interacts with, (ii) is manipulated by, and (iii) is displayed to human beings and automated processes; seeking to detect the information resource containing information that is represented by the second semantic object; linking the second semantic object to the information resource to represent the information resource using the second semantic object; wherein the second semantic object is configured to have a link to or from any number of other semantic objects. 39. The method of claim 1 , wherein, the semantic object is manually generated by an author; and wherein, at least one metadata entry of the semantic object is provided by the author.
| 0.542721 |
33. The article of manufacture of claim 32 , wherein said computer readable program code for generating the translingual parsing model comprises computer readable program code for: receiving, at a parser training module, a destination language treebank having parse trees of a plurality of destination language sentences, the parse trees of said destination language sentences having nodes labeled with the syntactic labels; generating, using the destination language treebank, a destination language parsing model, including parameters for ranking candidate parse trees for a destination language sentence; receiving, at the parsing module, a second plurality of destination language sentences from a parallel corpus, the parallel corpus including the second plurality of destination language sentences and their respective source language equivalents; applying the destination language parsing model to the second plurality of destination language sentences to generate a ranked list of candidate parse trees for each sentence of the second plurality of destination language sentences; transforming the candidate parse trees by applying, with a tree transformer, a rule set associated with linguistic characteristics of the source and destination languages; assigning, with a role labeler, a linguistic role label to nodes of the candidate parse trees, the role label corresponding to the linguistic role of a node within its respective parse tree; extracting grammar constraints from portions of each candidate parse tree; and estimating the translingual parsing model using the extracted grammar constraints and source language sentences of the parallel corpus; the translingual parsing model including parameters sufficient to rank candidate parses, wherein the parameters relate elements of the candidate parses including source language words, destination language words, syntactic labels, and role labels.
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33. The article of manufacture of claim 32 , wherein said computer readable program code for generating the translingual parsing model comprises computer readable program code for: receiving, at a parser training module, a destination language treebank having parse trees of a plurality of destination language sentences, the parse trees of said destination language sentences having nodes labeled with the syntactic labels; generating, using the destination language treebank, a destination language parsing model, including parameters for ranking candidate parse trees for a destination language sentence; receiving, at the parsing module, a second plurality of destination language sentences from a parallel corpus, the parallel corpus including the second plurality of destination language sentences and their respective source language equivalents; applying the destination language parsing model to the second plurality of destination language sentences to generate a ranked list of candidate parse trees for each sentence of the second plurality of destination language sentences; transforming the candidate parse trees by applying, with a tree transformer, a rule set associated with linguistic characteristics of the source and destination languages; assigning, with a role labeler, a linguistic role label to nodes of the candidate parse trees, the role label corresponding to the linguistic role of a node within its respective parse tree; extracting grammar constraints from portions of each candidate parse tree; and estimating the translingual parsing model using the extracted grammar constraints and source language sentences of the parallel corpus; the translingual parsing model including parameters sufficient to rank candidate parses, wherein the parameters relate elements of the candidate parses including source language words, destination language words, syntactic labels, and role labels. 35. The method of claim 33 , wherein said linguistic characteristics include phrase structure of the source and destination languages.
| 0.535851 |
10. The computer-readable storage device of claim 9 , wherein the index of words is generated based on a plurality of training phoneme lattices and factors of interest from valid entries in a database, wherein the factors of interest comprise trigrams.
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10. The computer-readable storage device of claim 9 , wherein the index of words is generated based on a plurality of training phoneme lattices and factors of interest from valid entries in a database, wherein the factors of interest comprise trigrams. 11. The computer-readable storage device of claim 10 , wherein the factors of interest further comprise N-grams based on the valid entries in the database.
| 0.913352 |
38. The system of claim 19 wherein the extraction module is operative to extract one or more items of metadata from the one or more VOB files.
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38. The system of claim 19 wherein the extraction module is operative to extract one or more items of metadata from the one or more VOB files. 39. The system of claim 38 wherein the indexing component is operative to index the captions, subtitles, descriptions and corresponding video and audio content associated with the one or more segments of the one or more VOB files using one or more items of metadata associated with the one or more VOB files.
| 0.821875 |
13. A system for providing a custom action for post in an online social network, the system comprising: a client machine having a display device; and one or more servers in communication with the client machine via a network, the one or more servers including memory and one or more processors, the one or more servers being configured to: transmit, from the server to the client machine, data implementing a user interface component for display at the client machine in accordance with first computing programming language instructions provided by a first entity: the user interface component displays at least one feed item record authored by a user and a plurality of responsive posts in a thread about the feed item record, each post of the plurality of responsive posts having a feed item ID and being posted by a user with information about the feed item record, and each post of the plurality of responsive posts contains a custom action activation mechanism indexed by the feed item ID, wherein the custom action activation mechanism is customized based on a state of the post indexed by the feed item ID and is customizable with second computer programming language instructions provided by a second entity; receive a message transmitted from the client machine to the server, the message indicating detection of a custom action activation event generated responsive to activation of the custom action activation mechanism associated with a first one of the responsive posts; and perform the custom action at the server in response to receiving the message: the custom action modifying data related to the first responsive post at the server, and the custom action being performed in accordance with the second computer programming language instructions provided by the second entity.
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13. A system for providing a custom action for post in an online social network, the system comprising: a client machine having a display device; and one or more servers in communication with the client machine via a network, the one or more servers including memory and one or more processors, the one or more servers being configured to: transmit, from the server to the client machine, data implementing a user interface component for display at the client machine in accordance with first computing programming language instructions provided by a first entity: the user interface component displays at least one feed item record authored by a user and a plurality of responsive posts in a thread about the feed item record, each post of the plurality of responsive posts having a feed item ID and being posted by a user with information about the feed item record, and each post of the plurality of responsive posts contains a custom action activation mechanism indexed by the feed item ID, wherein the custom action activation mechanism is customized based on a state of the post indexed by the feed item ID and is customizable with second computer programming language instructions provided by a second entity; receive a message transmitted from the client machine to the server, the message indicating detection of a custom action activation event generated responsive to activation of the custom action activation mechanism associated with a first one of the responsive posts; and perform the custom action at the server in response to receiving the message: the custom action modifying data related to the first responsive post at the server, and the custom action being performed in accordance with the second computer programming language instructions provided by the second entity. 18. The system recited in claim 13 , further configured to: include a translate custom action that translates the first responsive post to a language different from an original language used to author the first responsive post.
| 0.579591 |
14. The computer readable storage medium of claim 12 wherein the grammar is for one of speech recognition, handwriting recognition, gesture recognition and visual recognition.
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14. The computer readable storage medium of claim 12 wherein the grammar is for one of speech recognition, handwriting recognition, gesture recognition and visual recognition. 15. The computer readable storage medium of claim 14 wherein the first set of controls and the second set of controls relate to one of HTML, XHTML, cHTML, XML and WML.
| 0.962957 |
1. A method, comprising: receiving one or more speech recognition parameters prior to issuing a verbal prompt to a user; issuing a verbal prompt to the user; receiving an acoustic input from the user in response to the verbal prompt; processing one or more sequences of phonemes to obtain one or more acoustic representations, wherein the one or more sequences of phonemes are generated from a list of expected responses to the issued verbal prompt; comparing the acoustic input from the user to the one or more acoustic representations to determine an acoustic channel characterization and/or speaker class; and adjusting one or more speech recognition parameters based on the comparison, wherein the adjustment comprises applying feature space mapping to the acoustic input, and further wherein the one or more adjusted speech recognition parameters are used to adjust a speech recognition module of a speech recognition system to use an acoustic model that is consistent with an acoustic channel characterization and/or speaker class so that the selected acoustic model is used for decoding subsequent acoustic input provided by the user as the conversation progresses; wherein the steps are performed by at least one processor device coupled to a memory.
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1. A method, comprising: receiving one or more speech recognition parameters prior to issuing a verbal prompt to a user; issuing a verbal prompt to the user; receiving an acoustic input from the user in response to the verbal prompt; processing one or more sequences of phonemes to obtain one or more acoustic representations, wherein the one or more sequences of phonemes are generated from a list of expected responses to the issued verbal prompt; comparing the acoustic input from the user to the one or more acoustic representations to determine an acoustic channel characterization and/or speaker class; and adjusting one or more speech recognition parameters based on the comparison, wherein the adjustment comprises applying feature space mapping to the acoustic input, and further wherein the one or more adjusted speech recognition parameters are used to adjust a speech recognition module of a speech recognition system to use an acoustic model that is consistent with an acoustic channel characterization and/or speaker class so that the selected acoustic model is used for decoding subsequent acoustic input provided by the user as the conversation progresses; wherein the steps are performed by at least one processor device coupled to a memory. 5. The method of claim 1 , wherein the comparing step comprises performing a variable template matching on the acoustic input.
| 0.507428 |
2. The method of claim 1 , wherein obtaining one or more training images comprises: matching the query image to the object using a visual object recognition module; and identifying the one or more training images based on the object.
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2. The method of claim 1 , wherein obtaining one or more training images comprises: matching the query image to the object using a visual object recognition module; and identifying the one or more training images based on the object. 3. The method of claim 2 , wherein matching the query image to the object comprises matching a region of the query image to the object.
| 0.953265 |
16. A computer implemented method of identifying a name of a person in an image, the method comprising: receiving a query including a face image; detecting at least one visual feature from the face image; collecting at least one visually similar image to the face image, based on the detecting; accumulating text from at least one document containing the at least one visually similar image, the text in a proximity of the at least one visually similar image; determining a name of a person from the accumulated text; and outputting the name of the person.
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16. A computer implemented method of identifying a name of a person in an image, the method comprising: receiving a query including a face image; detecting at least one visual feature from the face image; collecting at least one visually similar image to the face image, based on the detecting; accumulating text from at least one document containing the at least one visually similar image, the text in a proximity of the at least one visually similar image; determining a name of a person from the accumulated text; and outputting the name of the person. 18. The method of claim 16 , further comprising outputting a database of person images, the person images annotated with information extracted from the accumulated text, the information including at least one of a name of the person, a birth date of the person, a gender of the person, and an occupation of the person.
| 0.612435 |
2. The database query system of claim 1 wherein said QAES includes: a storage system for maintaining state information about the current state of a database query; and a query expert logic system specifying to said QAUI said selectable sets by analyzing said state information maintained in said storage system and said conceptual information stored by said conceptual layer manager.
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2. The database query system of claim 1 wherein said QAES includes: a storage system for maintaining state information about the current state of a database query; and a query expert logic system specifying to said QAUI said selectable sets by analyzing said state information maintained in said storage system and said conceptual information stored by said conceptual layer manager. 9. The database query system of claim 2 wherein if said current state of said database query includes an aggregate column operation on a column in a first table, said query expert logic system excludes from said selectable table set any other of said tables that is more detailed than said first table or is joinable with said first table only through another more detailed table.
| 0.853309 |
9. A method implemented in instructions executed by a computer processor of using a UI XML schema to define an application's graphical layout, the method comprising: defining a UI XML schema in which a valid UI XML document includes at least a view element in which the name of the application view is provided; specifying a graphical layout of at least one user interface component in elements and attributes in the UI XML document; in response to an application being launched, instantiating a runtime object that represents the application view and causing the at least one user interface component to be rendered on a graphical display in, accordance with the graphical layout defined in the UI XML document; binding the at least one user interface component to a set of data in a data model, the set of data identified by an XPath expression of an XBind; and in response to a trigger event: identifying an emitter view object as a source of the trigger event based on an indicator included with an XBind; and using a context of the emitter view object to execute computational logic of the application, the computational logic including at least one Action URL for submission to a communicator.
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9. A method implemented in instructions executed by a computer processor of using a UI XML schema to define an application's graphical layout, the method comprising: defining a UI XML schema in which a valid UI XML document includes at least a view element in which the name of the application view is provided; specifying a graphical layout of at least one user interface component in elements and attributes in the UI XML document; in response to an application being launched, instantiating a runtime object that represents the application view and causing the at least one user interface component to be rendered on a graphical display in, accordance with the graphical layout defined in the UI XML document; binding the at least one user interface component to a set of data in a data model, the set of data identified by an XPath expression of an XBind; and in response to a trigger event: identifying an emitter view object as a source of the trigger event based on an indicator included with an XBind; and using a context of the emitter view object to execute computational logic of the application, the computational logic including at least one Action URL for submission to a communicator. 12. The method recited in claim 9 , wherein an attribute associated with a user interface component in the UI XML document identifies a unique name for referencing the user interface component in an expression.
| 0.657501 |
10. A non-transitory computer readable medium encoded with a computer program for controlling access to structured documents, the computer program comprising instructions for: providing an access control policy for a structured document comprising a plurality of nodes, wherein the access control policy comprises a plurality of access control rules; generating a path for each of the plurality of nodes in the structured document; and generating an executable value expression for each path by normalizing the plurality of access control rules into a format comprising a head, a path, and a condition that indicates who is granted or denied access to each path, generating and populating a condition table to convert the plurality of normalized access control rules into a plurality of modified normalized access control rules, propagating the plurality of modified normalized access control rules for each generated path to identify at least one generated path that is affected by at least one of the plurality of modified normalized access control rules, combining at least two modified normalized access control rules of the plurality of modified normalized access control rules if the at least two modified normalized access control rules affect a particular generated path, optimizing the plurality of modified normalized access control rules by eliminating repeated value expressions, and transforming the plurality of modified normalized access control rules into the executable value expression for each path based on the condition, wherein the executable value expression is utilized during access control evaluation to determine whether a user is allowed to access at least one of the plurality of nodes in the structured document.
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10. A non-transitory computer readable medium encoded with a computer program for controlling access to structured documents, the computer program comprising instructions for: providing an access control policy for a structured document comprising a plurality of nodes, wherein the access control policy comprises a plurality of access control rules; generating a path for each of the plurality of nodes in the structured document; and generating an executable value expression for each path by normalizing the plurality of access control rules into a format comprising a head, a path, and a condition that indicates who is granted or denied access to each path, generating and populating a condition table to convert the plurality of normalized access control rules into a plurality of modified normalized access control rules, propagating the plurality of modified normalized access control rules for each generated path to identify at least one generated path that is affected by at least one of the plurality of modified normalized access control rules, combining at least two modified normalized access control rules of the plurality of modified normalized access control rules if the at least two modified normalized access control rules affect a particular generated path, optimizing the plurality of modified normalized access control rules by eliminating repeated value expressions, and transforming the plurality of modified normalized access control rules into the executable value expression for each path based on the condition, wherein the executable value expression is utilized during access control evaluation to determine whether a user is allowed to access at least one of the plurality of nodes in the structured document. 11. The computer readable medium of claim 10 , further comprising computer program instructions for: storing each path and corresponding generated value expression in a table.
| 0.602508 |
56. A process for making a digital information product comprising computer data signals defining a digital form of a digital document, wherein the document can be one of several different types and with varying content, the process comprising: sending a request for at least part of a document; accessing a definition of additional content for a type of the document; generating an additional content component according to the definition of additional content for the type of the document; receiving a selected portion of the content of the document, the portion having been selected in accordance with the request; combining the additional content component with the content of the portion of the document to obtain a digital form of the document, and encoding the digital form in a computer data signal.
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56. A process for making a digital information product comprising computer data signals defining a digital form of a digital document, wherein the document can be one of several different types and with varying content, the process comprising: sending a request for at least part of a document; accessing a definition of additional content for a type of the document; generating an additional content component according to the definition of additional content for the type of the document; receiving a selected portion of the content of the document, the portion having been selected in accordance with the request; combining the additional content component with the content of the portion of the document to obtain a digital form of the document, and encoding the digital form in a computer data signal. 65. The process of claim 56, further comprising: receiving a request for a part of a document, wherein the sent request corresponds to the received request; and packaging and transmitting the digital form of the document to another computer according to a communication protocol.
| 0.698706 |
1. A method in a computing device for identifying questions relevant to a queried question, the method comprising: providing a collection of questions having terms, each question having a topic of one or more terms of the question and a focus of one or more terms of the question; for each topic and for each term in the questions of the collection, calculating by the computing device a probability of generating that term from a language model of that topic; for each focus and for each term in the questions of the collection, calculating by the computing device a probability of generating that term from a language model of that focus; receiving a queried question having terms; identifying a queried topic and a queried focus of the queried question; for each of a plurality of questions of the collection, calculating a topic probability of the queried topic as a probability of generating the terms of the queried topic from a language model of the topic of the question; calculating a focus probability of the queried focus as a probability of generating the terms of the queried focus from a language model of the focus of the question; and generating the probability of the queried question from a language model of the question using the calculated topic probability and the calculated focus probability of the question, the probability indicating the relevance of the question to the queried question.
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1. A method in a computing device for identifying questions relevant to a queried question, the method comprising: providing a collection of questions having terms, each question having a topic of one or more terms of the question and a focus of one or more terms of the question; for each topic and for each term in the questions of the collection, calculating by the computing device a probability of generating that term from a language model of that topic; for each focus and for each term in the questions of the collection, calculating by the computing device a probability of generating that term from a language model of that focus; receiving a queried question having terms; identifying a queried topic and a queried focus of the queried question; for each of a plurality of questions of the collection, calculating a topic probability of the queried topic as a probability of generating the terms of the queried topic from a language model of the topic of the question; calculating a focus probability of the queried focus as a probability of generating the terms of the queried focus from a language model of the focus of the question; and generating the probability of the queried question from a language model of the question using the calculated topic probability and the calculated focus probability of the question, the probability indicating the relevance of the question to the queried question. 4. The method of claim 1 wherein calculating the probabilities factors in the probability of the terms occurring in the collection to account for sparseness of a term in the collection.
| 0.68137 |
1. A method comprising: receiving, at a first origin, a request for a web page from a user agent, wherein the user agent is configured to implement a domain security model disallowing interaction between content from different origins across inline frames; accessing, by a processor, a data store of layout information to identify one or more module objects to add to a base document; and transmitting, by the processor from the first origin, the base document to the user agent, wherein the base document comprises one or more module inline frame elements each configured to cause the user agent to load a module document from a second origin within an inline frame, wherein the module document comprises a messenger object and one or more of the identified module objects; wherein each messenger object is configured, within the context of the user agent, to create, within a corresponding module inline frame, a messenger inline frame element including a location attribute identifying the first origin; responsive to a message sent by the module object, add the message to the location attribute; and provide a new message detected in the location attribute of the messenger in line frame element to the module object; wherein the base document further comprises a module connector object configured, within the context of the user agent, to access location attributes of one or more messenger inline frame elements to check for new messages; and responsive to a new message, add the new message to one or more location attributes of corresponding messenger inline frame elements.
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1. A method comprising: receiving, at a first origin, a request for a web page from a user agent, wherein the user agent is configured to implement a domain security model disallowing interaction between content from different origins across inline frames; accessing, by a processor, a data store of layout information to identify one or more module objects to add to a base document; and transmitting, by the processor from the first origin, the base document to the user agent, wherein the base document comprises one or more module inline frame elements each configured to cause the user agent to load a module document from a second origin within an inline frame, wherein the module document comprises a messenger object and one or more of the identified module objects; wherein each messenger object is configured, within the context of the user agent, to create, within a corresponding module inline frame, a messenger inline frame element including a location attribute identifying the first origin; responsive to a message sent by the module object, add the message to the location attribute; and provide a new message detected in the location attribute of the messenger in line frame element to the module object; wherein the base document further comprises a module connector object configured, within the context of the user agent, to access location attributes of one or more messenger inline frame elements to check for new messages; and responsive to a new message, add the new message to one or more location attributes of corresponding messenger inline frame elements. 4. The method of claim 1 wherein the messenger object is further configured to expire messages previously added to the location attribute of the messenger inline frame element.
| 0.718351 |
12. A non-transitory computer readable storage medium including instructions that, when executed by a processor, cause the processor to perform a method for generating functional application designs, comprising: receiving, by a design tool, one or more natural language utterances corresponding to natural language design commands for editing an application being designed; editing one or more components of the application being designed based on each of the natural language utterances; and generating, by the design tool, a functional instance of the application being designed, wherein generating the functional instance of the application being designed comprises: analyzing, by a natural language processor, a natural language utterance from the one or more natural language utterances to extract one or more entities from the natural language utterance, wherein each of the extracted one or more entities is a component part of the natural language utterance; determining, by a machine learning based natural language intent processor, an intent of the natural language utterance with respect to the application being designed; determining an action that implements the determined intent in the application being designed, wherein the one or more extracted entities are variables that define the determined intent in the design command; executing the design command that creates or modifies a component in the application being designed based on the determined action; and saving the application being designed as a workspace that includes the created or modified component.
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12. A non-transitory computer readable storage medium including instructions that, when executed by a processor, cause the processor to perform a method for generating functional application designs, comprising: receiving, by a design tool, one or more natural language utterances corresponding to natural language design commands for editing an application being designed; editing one or more components of the application being designed based on each of the natural language utterances; and generating, by the design tool, a functional instance of the application being designed, wherein generating the functional instance of the application being designed comprises: analyzing, by a natural language processor, a natural language utterance from the one or more natural language utterances to extract one or more entities from the natural language utterance, wherein each of the extracted one or more entities is a component part of the natural language utterance; determining, by a machine learning based natural language intent processor, an intent of the natural language utterance with respect to the application being designed; determining an action that implements the determined intent in the application being designed, wherein the one or more extracted entities are variables that define the determined intent in the design command; executing the design command that creates or modifies a component in the application being designed based on the determined action; and saving the application being designed as a workspace that includes the created or modified component. 20. The non-transitory computer readable storage medium of claim 12 , wherein the component comprises an abstraction of a component that defines actions and responses of the component without a definition of a visual representation of the component, and wherein the visual representation is resolved at runtime when the application being designed is executed for testing.
| 0.61921 |
5. The method of claim 1 , wherein the extracted features of the input question are identified by: identifying, by the QA system, a utility of each term in the input question; eliminating, by the QA system, zero or more terms within the input question that comprise a utility less than a predetermined value; and adding, by the QA system, the remaining terms in the input question to the extracted features.
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5. The method of claim 1 , wherein the extracted features of the input question are identified by: identifying, by the QA system, a utility of each term in the input question; eliminating, by the QA system, zero or more terms within the input question that comprise a utility less than a predetermined value; and adding, by the QA system, the remaining terms in the input question to the extracted features. 7. The method of claim 5 , wherein the extracted features of the input question are further identified by: identifying, by the QA system, one or more tenses associated with the terms added to the extracted features; and adding, by the QA system, the one or more tenses associated with the terms to the extracted features.
| 0.916339 |
11. A system for dynamically translating an original-language website, the system comprising: a server having an interface for receiving a request from a user system for a translated website, wherein the user request comprises a base URL identifying the original-language website and an extension identifying a target language, wherein the request is routed to an MT server configured to retrieve original content associated with the original-language website, wherein an MT engine is configured to translate at least one segment of the original content into the target language, wherein being configured to translate comprises: being configured to determine to bypass translation of a first segment of the original content upon a determination that a translation time associated with the first segment of the original content will likely exceed a predetermined threshold identified in a service level agreement, being configured to bypass translation of the first segment of the original content into the target language upon the determination that the translation time will likely exceed the predetermined threshold, and translating a second segment of the original content; and wherein the MT server is configured to return the translated second segment of the original content to the user system.
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11. A system for dynamically translating an original-language website, the system comprising: a server having an interface for receiving a request from a user system for a translated website, wherein the user request comprises a base URL identifying the original-language website and an extension identifying a target language, wherein the request is routed to an MT server configured to retrieve original content associated with the original-language website, wherein an MT engine is configured to translate at least one segment of the original content into the target language, wherein being configured to translate comprises: being configured to determine to bypass translation of a first segment of the original content upon a determination that a translation time associated with the first segment of the original content will likely exceed a predetermined threshold identified in a service level agreement, being configured to bypass translation of the first segment of the original content into the target language upon the determination that the translation time will likely exceed the predetermined threshold, and translating a second segment of the original content; and wherein the MT server is configured to return the translated second segment of the original content to the user system. 17. The system of claim 11 , wherein the original-language website comprises multiple embedded URLs, and wherein the user system comprises a crawler.
| 0.580087 |
1. A method for analyzing audio components of communications comprising: receiving information corresponding to an audio component of a communication session at a recorder; generating text from the information at a speech recognition engine executing on a computing device; and integrating the text with additional information provided by the recorder corresponding to the communication session, the additional information being integrated in a textual format and identifying a party to the communication session with a first representation; and the additional information identifying a characteristic of the audio component associated with the information of the communication session with a second representation, wherein the first representation comprises a first letter to indicate audio communication by a first party of the communication session, and wherein the second representation comprises a lower case representation of the letter indicates a first volume level and an upper case representation of the letter indicates a second volume level.
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1. A method for analyzing audio components of communications comprising: receiving information corresponding to an audio component of a communication session at a recorder; generating text from the information at a speech recognition engine executing on a computing device; and integrating the text with additional information provided by the recorder corresponding to the communication session, the additional information being integrated in a textual format and identifying a party to the communication session with a first representation; and the additional information identifying a characteristic of the audio component associated with the information of the communication session with a second representation, wherein the first representation comprises a first letter to indicate audio communication by a first party of the communication session, and wherein the second representation comprises a lower case representation of the letter indicates a first volume level and an upper case representation of the letter indicates a second volume level. 2. The method of claim 1 , wherein the additional information comprises amplitude information corresponding to volume levels that the audio component exhibited during the communication session.
| 0.576979 |
1. A method of representing user tasks to be performed by interaction of a plurality of electronic devices in a task orchestration system, the method comprising: employing a controller device for: expressing device functionality as a device description specifying a function that the device can perform; generating task suggestions based on task descriptions obtained from multiple electronic devices of the plurality of electronic devices, wherein task descriptions are dynamically determined at run-time of the task orchestration system, and a task description comprises task external description outlining task suggestions for interaction with a user, task properties, task functionalities and task actions, wherein each task suggestion represents a user task as an abstraction of one or more of the device descriptions; applying user preferences over the generated task suggestions to determine a rank order for the generated task suggestions; and displaying task suggestions in the rank order on a display for the user to select from, whereby user tasks are decoupled from the devices.
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1. A method of representing user tasks to be performed by interaction of a plurality of electronic devices in a task orchestration system, the method comprising: employing a controller device for: expressing device functionality as a device description specifying a function that the device can perform; generating task suggestions based on task descriptions obtained from multiple electronic devices of the plurality of electronic devices, wherein task descriptions are dynamically determined at run-time of the task orchestration system, and a task description comprises task external description outlining task suggestions for interaction with a user, task properties, task functionalities and task actions, wherein each task suggestion represents a user task as an abstraction of one or more of the device descriptions; applying user preferences over the generated task suggestions to determine a rank order for the generated task suggestions; and displaying task suggestions in the rank order on a display for the user to select from, whereby user tasks are decoupled from the devices. 33. The method of claim 1 , wherein the modifiers describe a time of day to apply to the task suggestions.
| 0.598981 |
60. A system for learning user preferences in a search of knowledge base to construct one or more profiles for producing personalized search results, the system comprising: at least one computer system; a computer-readable storage medium storing software components for execution by the at least one computer system, the components comprising: an adaptive and collaborative user profiling engine for: receiving feedback from the user regarding quality of search results presented to the user in a search of a knowledge base that is a semantic network of relationships among concepts and that provides an index of a plurality of documents, the feedback representing how well the search results match an input query provided by the user, the search results including one or more of the documents indexed by the knowledge base; constructing the one or more profiles for the user, based on the feedback received, where each of the search results that receive feedback values are used to construct a model that includes profile weights computed from the feedback values; and a personalized search and match engine for: modifying internal weights used for scoring search criteria applied in producing the search results presented to the user, the modifications made based on the profile weights in the constructed model; generating implicit search criteria for the user based on the one or more profiles by: defining simple profiled score criteria that are based on a single attribute or attribute path, the simple profiled score criteria instantiated as simple profiled score criteria values; wherein a partial score of the simple profiled score criteria value is computed using a similarity measure between a first vector including active profile weights and a second vector corresponding to values referenced by a target concept, where dimensions of the first and second vectors are defined by the values associated with the attribute path specified by the simple profiled score criteria, and wherein length of dimensions of the first vector are defined by the profile weights; and applying the implicit search criteria and modified weights during a subsequent search of the knowledge base conducted by the user producing a subsequent set of search results that are personalized to the user.
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60. A system for learning user preferences in a search of knowledge base to construct one or more profiles for producing personalized search results, the system comprising: at least one computer system; a computer-readable storage medium storing software components for execution by the at least one computer system, the components comprising: an adaptive and collaborative user profiling engine for: receiving feedback from the user regarding quality of search results presented to the user in a search of a knowledge base that is a semantic network of relationships among concepts and that provides an index of a plurality of documents, the feedback representing how well the search results match an input query provided by the user, the search results including one or more of the documents indexed by the knowledge base; constructing the one or more profiles for the user, based on the feedback received, where each of the search results that receive feedback values are used to construct a model that includes profile weights computed from the feedback values; and a personalized search and match engine for: modifying internal weights used for scoring search criteria applied in producing the search results presented to the user, the modifications made based on the profile weights in the constructed model; generating implicit search criteria for the user based on the one or more profiles by: defining simple profiled score criteria that are based on a single attribute or attribute path, the simple profiled score criteria instantiated as simple profiled score criteria values; wherein a partial score of the simple profiled score criteria value is computed using a similarity measure between a first vector including active profile weights and a second vector corresponding to values referenced by a target concept, where dimensions of the first and second vectors are defined by the values associated with the attribute path specified by the simple profiled score criteria, and wherein length of dimensions of the first vector are defined by the profile weights; and applying the implicit search criteria and modified weights during a subsequent search of the knowledge base conducted by the user producing a subsequent set of search results that are personalized to the user. 63. The system of claim 60 , wherein the feedback is implicit feedback.
| 0.586053 |
2. The telecommunication method of claim 1 , wherein the mapping the portion is performed using a document template.
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2. The telecommunication method of claim 1 , wherein the mapping the portion is performed using a document template. 3. The telecommunication method of claim 2 , wherein the document is an XML document.
| 0.987533 |
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