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8,175,880 | 1 | 7 | 1. An image processing apparatus comprising: an image data input portion that inputs image data; a text data input portion that inputs text data; a voice data converter that converts into voice data, the text data inputted by the text data input portion; a connector that connects to each other, the voice data obtained by the voice data converter and the image data inputted by the image data input portion; a file creator that creates a file including the image data and the voice data connected to each other by the connector; the image data input portion and the text data input portion correspond to a reader that reads out image data by scanning a document; the voice data converter converts into voice data, text data extracted from the image data read out from the document by the reader; the connector connects to each other, the obtained voice data and the image data appropriate for the voice data; the text data converted into voice data is extracted from the image data read out from one side of the document; and the voice data into which the text data is converted is connected to the image data read out from the other side of the document. | 1. An image processing apparatus comprising: an image data input portion that inputs image data; a text data input portion that inputs text data; a voice data converter that converts into voice data, the text data inputted by the text data input portion; a connector that connects to each other, the voice data obtained by the voice data converter and the image data inputted by the image data input portion; a file creator that creates a file including the image data and the voice data connected to each other by the connector; the image data input portion and the text data input portion correspond to a reader that reads out image data by scanning a document; the voice data converter converts into voice data, text data extracted from the image data read out from the document by the reader; the connector connects to each other, the obtained voice data and the image data appropriate for the voice data; the text data converted into voice data is extracted from the image data read out from one side of the document; and the voice data into which the text data is converted is connected to the image data read out from the other side of the document. 7. The image processing apparatus recited in claim 1 , further comprising: a sender that sends the file created by the file creator to an external sender. | 0.907117 |
9,804,889 | 2 | 4 | 2. The method as recited in claim 1 , wherein at least one of the processor or another processor of the first compute node executes a database engine for accessing the database of the job state object. | 2. The method as recited in claim 1 , wherein at least one of the processor or another processor of the first compute node executes a database engine for accessing the database of the job state object. 4. The method as recited in claim 2 , wherein the database engine comprises a runtime library. | 0.983595 |
9,164,590 | 5 | 6 | 5. The method of claim 1 further comprising using at least one processor associated with a recording computer to capture application-specific event data from an computer program generating educational content concurrently with at least one of steps (a) and (b), and sending the captured application-specific event data to the rendering computer. | 5. The method of claim 1 further comprising using at least one processor associated with a recording computer to capture application-specific event data from an computer program generating educational content concurrently with at least one of steps (a) and (b), and sending the captured application-specific event data to the rendering computer. 6. The method of claim 5 further comprising using at least one processor associated with the rendering computer to run a computer program using the captured application-specific event data and to thereby generate an application-specific image for display. | 0.929868 |
9,274,646 | 1 | 8 | 1. An apparatus, comprising least one processor and at least one memory including computer program code, the memory and the computer program code configured to, working with the processor, cause the apparatus to perform at least the following: receive a multiple touch input comprising a first touch input having a first text position within a first word such that the first text position is a text position between a first character of the first word and a last letter of the first word, and a second touch input having a second text position such that the second text position is a text position between a first character of a second word and a last letter of the second word; determine a first text selection point positioned outside of the first word based at least in part on the first text position being within the first word, such that the first text selection point is at least one of a text position preceding a first character of the first word, or a text position following a last letter of the first word; determine a second text selection point positioned outside of the second word based at least in part on the second text position, such that the second text selection point is at least one of a text position preceding a first character of the second word, or a text position following a last letter of the second word; and select text information between the first text selection point and the second text selection point. | 1. An apparatus, comprising least one processor and at least one memory including computer program code, the memory and the computer program code configured to, working with the processor, cause the apparatus to perform at least the following: receive a multiple touch input comprising a first touch input having a first text position within a first word such that the first text position is a text position between a first character of the first word and a last letter of the first word, and a second touch input having a second text position such that the second text position is a text position between a first character of a second word and a last letter of the second word; determine a first text selection point positioned outside of the first word based at least in part on the first text position being within the first word, such that the first text selection point is at least one of a text position preceding a first character of the first word, or a text position following a last letter of the first word; determine a second text selection point positioned outside of the second word based at least in part on the second text position, such that the second text selection point is at least one of a text position preceding a first character of the second word, or a text position following a last letter of the second word; and select text information between the first text selection point and the second text selection point. 8. The apparatus of claim 1 , wherein the first text selection point is a text position associated with an end of the first word. | 0.918458 |
8,326,823 | 12 | 17 | 12. A non-transitory machine-readable storage medium having machine executable instructions embedded thereon, which when executed by a processor of a machine, cause the machine to perform operations comprising: retrieving a plurality of search queries; defining relationships between search queries in the plurality of search queries based on semantic data associated with the search queries; generating a visual representation of the plurality of search queries; and partitioning the visual representation into a plurality of tiles, each tile representing a predefined portion of the visual representation; storing multiple versions of the plurality of tiles, each version of the multiple versions associated with different zoom levels of the visual representation; retrieving metadata defining rendering characteristics of the plurality of search queries, the rendering characteristics including a characteristic defining how to render the plurality of search queries at each zoom level of the different zoom levels, the rendering of the search queries differing at the different zoom levels; and receiving a selection input selecting a first search query displayed in a tile of the plurality of tiles; identifying, using at least one processor, an additional tile associated with the first search query and additional search queries organized according to semantic relationship between the plurality of search queries; and transmitting the additional tile to a user device for display. | 12. A non-transitory machine-readable storage medium having machine executable instructions embedded thereon, which when executed by a processor of a machine, cause the machine to perform operations comprising: retrieving a plurality of search queries; defining relationships between search queries in the plurality of search queries based on semantic data associated with the search queries; generating a visual representation of the plurality of search queries; and partitioning the visual representation into a plurality of tiles, each tile representing a predefined portion of the visual representation; storing multiple versions of the plurality of tiles, each version of the multiple versions associated with different zoom levels of the visual representation; retrieving metadata defining rendering characteristics of the plurality of search queries, the rendering characteristics including a characteristic defining how to render the plurality of search queries at each zoom level of the different zoom levels, the rendering of the search queries differing at the different zoom levels; and receiving a selection input selecting a first search query displayed in a tile of the plurality of tiles; identifying, using at least one processor, an additional tile associated with the first search query and additional search queries organized according to semantic relationship between the plurality of search queries; and transmitting the additional tile to a user device for display. 17. The machine-readable storage medium of claim 12 , wherein the partitioning of the visual representation into a plurality of tiles includes: setting a tile size; splitting the visual representation into the plurality of tiles according to the tile size; determining at least one query of the plurality of search queries located within each of the plurality of tiles; and generating scaled vector graphic data for the at least one query of the plurality of search queries. | 0.501053 |
8,370,361 | 1 | 14 | 1. In an apparatus, a method of extracting, merging, and systematizing organization names from text, comprising: at a computer-readable medium having one or more microprocessors configured to host and execute one or more programs, extracting organization-related text from a database; identifying one or more phrases contained in said text; associating organization entities with at least one country, email address, URL, street address, city, or state of a portion of said phrases based upon the content of said phrases; assigning at least a portion of the remaining phrases as organization entities, based upon the content of said phrases and whether nearby phrases have been assigned as organization entities; performing a first unsupervised clustering wherein said organization entities are grouped into a first plurality of clusters based upon geopolitical entity and a modified edit distance metric, wherein each of the first clusters includes a list of all organization entities in the cluster; wherein each new organization entity under consideration is compared to the centroids of all clusters having the same geopolitical entity, wherein if the modified edit distance metric indicates that the described organization entity, under consideration, matches above a predetermined threshold to the centroid of a cluster, then the described organization entity under consideration is added to that cluster, wherein if the described organization entity does not match above a predetermined threshold to the centroid of any existing cluster, then that described organization entity becomes the centroid of a new cluster; performing a second unsupervised clustering wherein said first plurality of clusters are clustered into one or more second clusters based upon geopolitical entity and at least one similarity metric based on centroids of said first plurality of clusters, wherein the second unsupervised clustering includes connected components clustering, wherein the second unsupervised clustering groups organization entities which represent the same organization despite being having substantially different words; and designating a normalized organization name for each second cluster based upon predetermined criteria. | 1. In an apparatus, a method of extracting, merging, and systematizing organization names from text, comprising: at a computer-readable medium having one or more microprocessors configured to host and execute one or more programs, extracting organization-related text from a database; identifying one or more phrases contained in said text; associating organization entities with at least one country, email address, URL, street address, city, or state of a portion of said phrases based upon the content of said phrases; assigning at least a portion of the remaining phrases as organization entities, based upon the content of said phrases and whether nearby phrases have been assigned as organization entities; performing a first unsupervised clustering wherein said organization entities are grouped into a first plurality of clusters based upon geopolitical entity and a modified edit distance metric, wherein each of the first clusters includes a list of all organization entities in the cluster; wherein each new organization entity under consideration is compared to the centroids of all clusters having the same geopolitical entity, wherein if the modified edit distance metric indicates that the described organization entity, under consideration, matches above a predetermined threshold to the centroid of a cluster, then the described organization entity under consideration is added to that cluster, wherein if the described organization entity does not match above a predetermined threshold to the centroid of any existing cluster, then that described organization entity becomes the centroid of a new cluster; performing a second unsupervised clustering wherein said first plurality of clusters are clustered into one or more second clusters based upon geopolitical entity and at least one similarity metric based on centroids of said first plurality of clusters, wherein the second unsupervised clustering includes connected components clustering, wherein the second unsupervised clustering groups organization entities which represent the same organization despite being having substantially different words; and designating a normalized organization name for each second cluster based upon predetermined criteria. 14. The method of claim 1 , wherein the first unsupervised clustering includes finding related affiliation strings and normalizing non-standard usage in the organization entity names in the affiliation strings. | 0.80038 |
9,104,732 | 1 | 7 | 1. A method for internet presence scoring comprising: receiving, by use of a processor, a search phrase; receiving a search type selected from the group consisting of a brand type, a person type, and a phase type; selecting a specified data source in response to the search type; initiating a search; retrieving a plurality of search results for the search phrase from the specified data source; and calculating an Internet score as a function of a sentiment value for each of a search score, a social score, a review score, and a media score of the plurality of search results as k1*SR+k2*SO+k4*SE+k5*ME where k1, k2, k4, and k5 are constants, SR is the search score, SO is the social score, SE is the secure site score, and ME is the media score. | 1. A method for internet presence scoring comprising: receiving, by use of a processor, a search phrase; receiving a search type selected from the group consisting of a brand type, a person type, and a phase type; selecting a specified data source in response to the search type; initiating a search; retrieving a plurality of search results for the search phrase from the specified data source; and calculating an Internet score as a function of a sentiment value for each of a search score, a social score, a review score, and a media score of the plurality of search results as k1*SR+k2*SO+k4*SE+k5*ME where k1, k2, k4, and k5 are constants, SR is the search score, SO is the social score, SE is the secure site score, and ME is the media score. 7. The method of claim 1 , wherein the sentiment value is calculated as a sum of sentiment values for each sentiment phrase in the search result. | 0.864486 |
8,594,468 | 1 | 4 | 1. A method of annotating a personal image comprising: compiling visual features and textual information from a plurality of images; hashing the visual features; clustering the plurality of images based at least in part on a hash value, the clustering creating clustered images; building one or more statistical language models based at least in part on the clustered images; and annotating the personal image by selecting words with a maximum joint probability between the personal image and the clustered images. | 1. A method of annotating a personal image comprising: compiling visual features and textual information from a plurality of images; hashing the visual features; clustering the plurality of images based at least in part on a hash value, the clustering creating clustered images; building one or more statistical language models based at least in part on the clustered images; and annotating the personal image by selecting words with a maximum joint probability between the personal image and the clustered images. 4. A method as recited in claim 1 , wherein the one or more statistical language models is a unigram model that calculates a probability that a word is associated with the personal image based at least in part on a visual similarity between the personal image and the clustered images and a prior probability of the clustered images. | 0.734026 |
7,963,978 | 1 | 4 | 1. A method of implanting a dynamic stabilization spine implant into a spine comprising the steps of: securing a first bone anchor in a first vertebra of a spine; securing a second bone anchor in the first vertebra of a spine; securing a first rod between the first bone anchor and the second bone anchor; securing a deflection rod system to said first rod, wherein said deflection rod system includes an inner rod and an outer shell located about said inner rod and a shield located about said inner rod and said outer shell, which shield limits an amount of deflection of said inner rod and said outer shell; and a connector rod movably secured to said inner rod; and associating said connector rod with a second vertebra of a spine. | 1. A method of implanting a dynamic stabilization spine implant into a spine comprising the steps of: securing a first bone anchor in a first vertebra of a spine; securing a second bone anchor in the first vertebra of a spine; securing a first rod between the first bone anchor and the second bone anchor; securing a deflection rod system to said first rod, wherein said deflection rod system includes an inner rod and an outer shell located about said inner rod and a shield located about said inner rod and said outer shell, which shield limits an amount of deflection of said inner rod and said outer shell; and a connector rod movably secured to said inner rod; and associating said connector rod with a second vertebra of a spine. 4. The method of claim 1 wherein the steps are made in any order. | 0.880074 |
9,489,657 | 1 | 9 | 1. A computer-implemented method, comprising: receiving over a communications network a plurality of chat messages from two or more different chat rooms; analyzing the plurality of messages to extract a summary of activity taking place in the two or more chat rooms, wherein the summary of activity further includes a chat room summary to be presented on a distinct region of the display for each of the two or more chat rooms, the distinct region of a plurality of the chat room summaries each including a plurality of subregions, a first subregion presenting one or more infographics reflecting an amount of participant activity in its respective chat room, wherein the infographics provide a real-time indication of a participant's activity in its respective chat room; and causing the summary of activity to be presented on a display. | 1. A computer-implemented method, comprising: receiving over a communications network a plurality of chat messages from two or more different chat rooms; analyzing the plurality of messages to extract a summary of activity taking place in the two or more chat rooms, wherein the summary of activity further includes a chat room summary to be presented on a distinct region of the display for each of the two or more chat rooms, the distinct region of a plurality of the chat room summaries each including a plurality of subregions, a first subregion presenting one or more infographics reflecting an amount of participant activity in its respective chat room, wherein the infographics provide a real-time indication of a participant's activity in its respective chat room; and causing the summary of activity to be presented on a display. 9. The computer-implemented method of claim 1 in which the one or more infographics further indicates whether participant activity in the chat room is increasing or decreasing over time. | 0.788155 |
8,626,585 | 12 | 18 | 12. A system, comprising: a data processing apparatus; a memory storage apparatus in data communication with the data processing apparatus and storing instructions executable by the data processing apparatus and that upon such execution cause the data processing apparatus to perform operations comprising: for each of one or more textual advertisements of a sponsor of the textual advertisements, each of the advertisements including a link to a corresponding landing page that causes a user device to request the landing page in response to the advertisement being selected when the advertisement is displayed on the user device: identifying landing page images in the landing page to which the textual advertisement links; for each landing page image identified in the landing page, determining a relevance measure that measures the relevance of the landing page image to the content of the landing page; selecting, by the data processing apparatus, one or more of the landing page images for concurrent display with the textual advertisement based on the relevance measures of the landing page images; and storing, in a data storage system, data associating the selected landing page images with the textual advertisements. | 12. A system, comprising: a data processing apparatus; a memory storage apparatus in data communication with the data processing apparatus and storing instructions executable by the data processing apparatus and that upon such execution cause the data processing apparatus to perform operations comprising: for each of one or more textual advertisements of a sponsor of the textual advertisements, each of the advertisements including a link to a corresponding landing page that causes a user device to request the landing page in response to the advertisement being selected when the advertisement is displayed on the user device: identifying landing page images in the landing page to which the textual advertisement links; for each landing page image identified in the landing page, determining a relevance measure that measures the relevance of the landing page image to the content of the landing page; selecting, by the data processing apparatus, one or more of the landing page images for concurrent display with the textual advertisement based on the relevance measures of the landing page images; and storing, in a data storage system, data associating the selected landing page images with the textual advertisements. 18. The system of claim 12 , further comprising, for each of a plurality of textual advertisements that an advertiser has not specified an image to be displayed with the textual advertisement: determining a vertical for the textual advertisement; and selecting one or more vertical images based on the vertical of the textual advertisement; and storing, in the data storage system, data associating the vertical images with the textual advertisement. | 0.672012 |
8,775,439 | 15 | 21 | 15. A system comprising one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising: determining that a first search query includes a respective text reference to each of one or more predetermined attributes, wherein each attribute is associated with a first entity type; for each of a plurality of entities of the first entity type, generating a combined search query that includes the first search query and a name of the entity; obtaining search results for each of the plurality of entities using the combined search query for each respective entity; and using the obtained search results to generate combined search results to include in a response to the first search query, wherein using the obtained search results to generate combined search results comprises: generating a respective combined score for each of a plurality of resources identified by the obtained search results, wherein the respective combined score for each resource is a combination of scores associated with obtained search results identifying the resource, and wherein generating the respective combined score for each of the resources comprises: identifying a plurality of search results identifying the resource, wherein each search result identifying the resource is obtained from the search engine in response to a respective combined query, and wherein each search result identifying the resource is associated with a respective first score, and generating the combined score for the resource by combining the first scores associated with the search results is the resource; and ranking the obtained search results based on the combined scores for the respective resources identified by each search result. | 15. A system comprising one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising: determining that a first search query includes a respective text reference to each of one or more predetermined attributes, wherein each attribute is associated with a first entity type; for each of a plurality of entities of the first entity type, generating a combined search query that includes the first search query and a name of the entity; obtaining search results for each of the plurality of entities using the combined search query for each respective entity; and using the obtained search results to generate combined search results to include in a response to the first search query, wherein using the obtained search results to generate combined search results comprises: generating a respective combined score for each of a plurality of resources identified by the obtained search results, wherein the respective combined score for each resource is a combination of scores associated with obtained search results identifying the resource, and wherein generating the respective combined score for each of the resources comprises: identifying a plurality of search results identifying the resource, wherein each search result identifying the resource is obtained from the search engine in response to a respective combined query, and wherein each search result identifying the resource is associated with a respective first score, and generating the combined score for the resource by combining the first scores associated with the search results is the resource; and ranking the obtained search results based on the combined scores for the respective resources identified by each search result. 21. The system of claim 15 , the operations further comprising: determining that, for a particular combined search result obtained in response to a particular combined query, a number of combined search results ranked higher than the particular combined search result in the ranking of the combined search results and obtained in response to the particular combined query exceeds a specified threshold number; and demoting the particular combined search result in the ranking of combined search results. | 0.546029 |
8,266,158 | 1 | 9 | 1. A method for generating a just-in-time reputation score, the method comprising: receiving a user generated content item from a user; calculating an initial content score for the user generated content item, wherein the initial content score is an average of a score for each of a plurality of prior user generated content items received from the user; retrieving one or more content submission rules based on at least one of: historical trends in a plurality of prior generated content items received from a plurality of members of a community or rules defined by the community; analyzing said user generated content item against said one or more content submission rules; determining a just-in-time reputation score of the user generated content item based on the initial content score adjusted accordingly to said analysis; displaying said just-in-time reputation score, said user generated content item to the user, and a message informing the user that said user generated content item violates the one or more rules; and receiving a modified user generated content item modified in response to displaying said just-in-time reputation score, said user generated content item, and the message informing the user that said user generated content item violates the one or more rules. | 1. A method for generating a just-in-time reputation score, the method comprising: receiving a user generated content item from a user; calculating an initial content score for the user generated content item, wherein the initial content score is an average of a score for each of a plurality of prior user generated content items received from the user; retrieving one or more content submission rules based on at least one of: historical trends in a plurality of prior generated content items received from a plurality of members of a community or rules defined by the community; analyzing said user generated content item against said one or more content submission rules; determining a just-in-time reputation score of the user generated content item based on the initial content score adjusted accordingly to said analysis; displaying said just-in-time reputation score, said user generated content item to the user, and a message informing the user that said user generated content item violates the one or more rules; and receiving a modified user generated content item modified in response to displaying said just-in-time reputation score, said user generated content item, and the message informing the user that said user generated content item violates the one or more rules. 9. The method of claim 1 further comprising storing an ID associated with the one or more rules upon determining that the one or more rules are violated. | 0.802835 |
7,941,444 | 13 | 14 | 13. A system, comprising: a processor; and a memory containing an executable component which, when executed by the processor, performs an operation for configuring an annotation system for managing annotations created for data objects manipulated by one or more applications on a network, the operations comprising: identifying a plurality of annotatable heterogeneous data objects, each manipulated by a corresponding one of a plurality of applications on the network, wherein each of the plurality of applications specifies an indexing mechanism for indexing data objects associated with a representative application, and wherein the indexing mechanism for each of the plurality of applications is different from one another; and providing a set of one or more configuration tools configured to: allow a user to define an annotation structure containing one or more annotation fields for annotations created for a respective application, and wherein one or more of the annotation fields are used to store metadata included in a given annotation and wherein one or more of the annotation fields store metadata used to index an annotation according to the indexing mechanism and mapping function associated with the respective application; associate the annotation structure with at least one of the plurality of applications; allow a user to define roles configured to determine the type of information captured or viewed in an annotation created for a given data object of a given application; and associate annotation structures defined by the user with combinations of the user defined roles and annotatable data objects, whereby a subsequent request to annotate a given annotatable data object results in a selection of one or more of the associated annotation structures based on a match between a role of a user making the subsequent request and the role associated with the one or more of the associated annotation structures. | 13. A system, comprising: a processor; and a memory containing an executable component which, when executed by the processor, performs an operation for configuring an annotation system for managing annotations created for data objects manipulated by one or more applications on a network, the operations comprising: identifying a plurality of annotatable heterogeneous data objects, each manipulated by a corresponding one of a plurality of applications on the network, wherein each of the plurality of applications specifies an indexing mechanism for indexing data objects associated with a representative application, and wherein the indexing mechanism for each of the plurality of applications is different from one another; and providing a set of one or more configuration tools configured to: allow a user to define an annotation structure containing one or more annotation fields for annotations created for a respective application, and wherein one or more of the annotation fields are used to store metadata included in a given annotation and wherein one or more of the annotation fields store metadata used to index an annotation according to the indexing mechanism and mapping function associated with the respective application; associate the annotation structure with at least one of the plurality of applications; allow a user to define roles configured to determine the type of information captured or viewed in an annotation created for a given data object of a given application; and associate annotation structures defined by the user with combinations of the user defined roles and annotatable data objects, whereby a subsequent request to annotate a given annotatable data object results in a selection of one or more of the associated annotation structures based on a match between a role of a user making the subsequent request and the role associated with the one or more of the associated annotation structures. 14. The system of claim 13 , wherein the configuration tools provide one or more graphical user interface screens for associating one or more roles with a user. | 0.659574 |
8,930,378 | 9 | 14 | 9. One or more computer-readable non-transitory storage media embodying software that is operable when executed to: maintain one or more data stores storing a social graph comprising a plurality of nodes and a plurality of edges, the nodes comprising user nodes corresponding to users of a social-networking system and concept nodes corresponding to concepts, wherein each edge connects two of the nodes, each of the edges being associated with an affinity score; determine a confidence score between a first one of the user nodes and a first one of the concept nodes based at least in part on one or more affinity scores associated with one or more edges between the first one of the user nodes and the first one of the concept nodes in the social graph; and store the confidence score in the data stores. | 9. One or more computer-readable non-transitory storage media embodying software that is operable when executed to: maintain one or more data stores storing a social graph comprising a plurality of nodes and a plurality of edges, the nodes comprising user nodes corresponding to users of a social-networking system and concept nodes corresponding to concepts, wherein each edge connects two of the nodes, each of the edges being associated with an affinity score; determine a confidence score between a first one of the user nodes and a first one of the concept nodes based at least in part on one or more affinity scores associated with one or more edges between the first one of the user nodes and the first one of the concept nodes in the social graph; and store the confidence score in the data stores. 14. The media of claim 9 , further comprising software operable when executed to: create a new edge between the first one of the user nodes and the first one of the concept nodes when the confidence score is higher than a pre-determined threshold. | 0.837714 |
8,255,405 | 1 | 6 | 1. A non-transitory computer readable medium including code that when executed by a computer system performs a method of selecting most relevant terms from service description documents, the method comprising: receiving a set of service description documents; determining a term-by-document matrix X using terms extracted from documents in the set of service description documents, wherein the matrix X includes a first dimension listing each of the documents, a second dimension listing the extracted terms, and a third dimension listing values indicating a frequency of each of the extracted terms occurred in each of the documents; decomposing the matrix X using singular value decomposition (SVD) into three matrices T, S, and D t , wherein S is a diagonal matrix of singular values ordered in descending order, and T and D t are matrices of eigen vectors; selecting k singular values from S, where k is an integer greater than or equal to 1; determining rankings of the terms in the matrix X using the k singular values; and selecting a set of terms from the matrix X based on the rankings. | 1. A non-transitory computer readable medium including code that when executed by a computer system performs a method of selecting most relevant terms from service description documents, the method comprising: receiving a set of service description documents; determining a term-by-document matrix X using terms extracted from documents in the set of service description documents, wherein the matrix X includes a first dimension listing each of the documents, a second dimension listing the extracted terms, and a third dimension listing values indicating a frequency of each of the extracted terms occurred in each of the documents; decomposing the matrix X using singular value decomposition (SVD) into three matrices T, S, and D t , wherein S is a diagonal matrix of singular values ordered in descending order, and T and D t are matrices of eigen vectors; selecting k singular values from S, where k is an integer greater than or equal to 1; determining rankings of the terms in the matrix X using the k singular values; and selecting a set of terms from the matrix X based on the rankings. 6. The non-transitory computer readable medium of claim 1 , wherein selecting k singular values from S further comprises: selecting k singular values from S having values greater than a first threshold. | 0.774049 |
7,904,429 | 17 | 25 | 17. The method according to claim 14 wherein a simplified Hash table is used to check whether a sequentially processed chunk of the input string of chunks is present in the chunk table, characterized in that the Hash table does not comprise a data field, all chunks having the same hash function point to the same row, and a chunk is assumed to be present in the chunk table if the hash function of that chunk points to a non empty row of the hash table, wherein the Begin of Record attribute is set and stored in the Hash table row if one chunk of the list of chunks has a hash function pointing to that row and is the first chunk of one record, and wherein an End of Record attribute is set and stored in the Hash table if one chunk of the list of chunks has a hash function pointing to that row and is the last chunk of one record. | 17. The method according to claim 14 wherein a simplified Hash table is used to check whether a sequentially processed chunk of the input string of chunks is present in the chunk table, characterized in that the Hash table does not comprise a data field, all chunks having the same hash function point to the same row, and a chunk is assumed to be present in the chunk table if the hash function of that chunk points to a non empty row of the hash table, wherein the Begin of Record attribute is set and stored in the Hash table row if one chunk of the list of chunks has a hash function pointing to that row and is the first chunk of one record, and wherein an End of Record attribute is set and stored in the Hash table if one chunk of the list of chunks has a hash function pointing to that row and is the last chunk of one record. 25. The method according to claim 17 wherein the reversible operation is addition. | 0.988795 |
9,911,409 | 3 | 4 | 3. The speech recognition apparatus of claim 1 , wherein the language model comprising the primitive words is trained using a corpus reconstructed to comprise the primitive words. | 3. The speech recognition apparatus of claim 1 , wherein the language model comprising the primitive words is trained using a corpus reconstructed to comprise the primitive words. 4. The speech recognition apparatus of claim 3 , wherein the corpus is reconstructed to consist essentially of the primitive words. | 0.934696 |
8,976,108 | 2 | 9 | 2. A mobile computing device having telephone functionality for providing one or more alternate symbols associated with a base symbol, the mobile computing device comprising: a display; a memory; a processor coupled to the display and the memory; a user input mechanism; and a computer program stored in the memory, the computer program including instructions that, when executed by the processor, cause the mobile computing device to: receive, through the user input mechanism, a request to display the base symbol for insertion at a cursor location; receive, through the user input mechanism, a request to display the one or more alternate symbols associated with the base symbol, wherein the one or more alternate symbols are accented versions of the base symbol; display the one or more alternate symbols and the base symbol at the same time on the display; and responsive to a user selection of one of the displayed alternate symbols, replace the base symbol with the selected alternate symbol. | 2. A mobile computing device having telephone functionality for providing one or more alternate symbols associated with a base symbol, the mobile computing device comprising: a display; a memory; a processor coupled to the display and the memory; a user input mechanism; and a computer program stored in the memory, the computer program including instructions that, when executed by the processor, cause the mobile computing device to: receive, through the user input mechanism, a request to display the base symbol for insertion at a cursor location; receive, through the user input mechanism, a request to display the one or more alternate symbols associated with the base symbol, wherein the one or more alternate symbols are accented versions of the base symbol; display the one or more alternate symbols and the base symbol at the same time on the display; and responsive to a user selection of one of the displayed alternate symbols, replace the base symbol with the selected alternate symbol. 9. The mobile computing device of claim 2 , wherein execution of the instructions to display the one or more alternate symbols on the display causes the computing device to: display a menu in a portion of the display, the menu including the one or more alternate symbols. | 0.676611 |
8,874,551 | 1 | 14 | 1. A computer-implemented method of querying distributed data sources, the method being executed using one or more processors and comprising: receiving, by one or more processors, a query; identifying, by the one or more processors and based on the query, one or more relevant elements from an overall data model stored in computer-readable memory, the overall data model specifying relationships between classes, sub-classes and attributes, each relevant element being an element of the overall data model and being determined to be relevant to the query; identifying, by the one or more processors and using an adapter mapping, one or more adapters based on the one or more relevant elements, the adapter mapping associating each relevant element with a particular adapter, each adapter providing credentials for authenticating and authorizing access to the one or more data sources, and at least one adapter comprising a generic adapter configured to be specific to a data source type of the one or more data sources based on one or more configurations to associate data provided in a respective data source to the overall data model; querying, by the one or more processors and using the one or more adapters, one or more data elements in heterogeneous data sources of the disparate data sources, each adapter being specific to a data source of the one or more data sources; in response to querying, receiving, at the one or more adapters, one or more data results; transforming, by the one or more processors, each data result of the one or more data results into a unified data format to provide respective one or more transformed data results; storing the one or more transformed data results in a temporary data store; and querying the temporary data store based on the query to generate a result. | 1. A computer-implemented method of querying distributed data sources, the method being executed using one or more processors and comprising: receiving, by one or more processors, a query; identifying, by the one or more processors and based on the query, one or more relevant elements from an overall data model stored in computer-readable memory, the overall data model specifying relationships between classes, sub-classes and attributes, each relevant element being an element of the overall data model and being determined to be relevant to the query; identifying, by the one or more processors and using an adapter mapping, one or more adapters based on the one or more relevant elements, the adapter mapping associating each relevant element with a particular adapter, each adapter providing credentials for authenticating and authorizing access to the one or more data sources, and at least one adapter comprising a generic adapter configured to be specific to a data source type of the one or more data sources based on one or more configurations to associate data provided in a respective data source to the overall data model; querying, by the one or more processors and using the one or more adapters, one or more data elements in heterogeneous data sources of the disparate data sources, each adapter being specific to a data source of the one or more data sources; in response to querying, receiving, at the one or more adapters, one or more data results; transforming, by the one or more processors, each data result of the one or more data results into a unified data format to provide respective one or more transformed data results; storing the one or more transformed data results in a temporary data store; and querying the temporary data store based on the query to generate a result. 14. The method of claim 1 , wherein each adapter generates a data source—specific query and queries a respective data source using the data source—specific query. | 0.832298 |
8,620,907 | 1 | 9 | 1. One or more tangible computer storage media storing computer-useable instructions that, when used by a computing device, cause the computing device to perform a method comprising: receiving a search query; reformulating the search query to identify one or more atoms used to query a search index, the search index storing a plurality of atoms, the plurality of atoms comprising one or more n-grams, one or more n-tuples, and one or more near n-tuples; identifying an initial set of documents from the search index based on the one or more atoms identified in the reformulated search query; computing preliminary scores for each document in the initial set of documents using both a simplified scoring function and pre-computed scores stored in the search index for document/atom pairs for the one or more atoms and the initial set of documents, wherein a pre-computed score for each document/atom pair represents the importance of an atom extracted from the document, and wherein the simplified scoring function is derived at least in part from ranking features of a full ranking algorithm; selecting a pruned set of documents from the initial set of documents based on the preliminary scores; computing a ranking score for each document in the pruned set of documents using the full ranking algorithm different from the simplified scoring function to provide a set of ranked documents; and providing search results for presentation to an end user based on the set of ranked documents. | 1. One or more tangible computer storage media storing computer-useable instructions that, when used by a computing device, cause the computing device to perform a method comprising: receiving a search query; reformulating the search query to identify one or more atoms used to query a search index, the search index storing a plurality of atoms, the plurality of atoms comprising one or more n-grams, one or more n-tuples, and one or more near n-tuples; identifying an initial set of documents from the search index based on the one or more atoms identified in the reformulated search query; computing preliminary scores for each document in the initial set of documents using both a simplified scoring function and pre-computed scores stored in the search index for document/atom pairs for the one or more atoms and the initial set of documents, wherein a pre-computed score for each document/atom pair represents the importance of an atom extracted from the document, and wherein the simplified scoring function is derived at least in part from ranking features of a full ranking algorithm; selecting a pruned set of documents from the initial set of documents based on the preliminary scores; computing a ranking score for each document in the pruned set of documents using the full ranking algorithm different from the simplified scoring function to provide a set of ranked documents; and providing search results for presentation to an end user based on the set of ranked documents. 9. The one or more computer storage media of claim 1 , wherein the search index includes a reverse index and a forward index, and wherein the initial set of documents are identified using the reverse index, the preliminary scores for the initial set of documents are computed using the reverse index, and the ranking scores for the set of ranked documents are computed using the forward index. | 0.520732 |
8,438,009 | 1 | 10 | 1. A method for enhancing a performance of a first classifier implemented on a computing device used for classifying a first subset of documents written in a first language, the method comprising: a) receiving, at the computing device, a second subset of documents written in a second language different than the first language, said second subset including substantially the same content as the first subset; b) running the first classifier over the first subset to generate a first classification; c) running a second classifier implemented on the computing device over the second subset to generate a second classification; d) reducing a training cost between the first and second classifications, including repeating steps b) and c) wherein each classifier updates its own classification in view of the classification generated by the other classifier until the training cost is set to a minimum; the reducing comprising applying at least one of a gradient based algorithm for reducing the training cost between classifications, and an analytical algorithm for finding an approximate solution that reduces classification losses to reduce the training cost between classifications; and e) outputting at least one of said first classification and said first classifier. | 1. A method for enhancing a performance of a first classifier implemented on a computing device used for classifying a first subset of documents written in a first language, the method comprising: a) receiving, at the computing device, a second subset of documents written in a second language different than the first language, said second subset including substantially the same content as the first subset; b) running the first classifier over the first subset to generate a first classification; c) running a second classifier implemented on the computing device over the second subset to generate a second classification; d) reducing a training cost between the first and second classifications, including repeating steps b) and c) wherein each classifier updates its own classification in view of the classification generated by the other classifier until the training cost is set to a minimum; the reducing comprising applying at least one of a gradient based algorithm for reducing the training cost between classifications, and an analytical algorithm for finding an approximate solution that reduces classification losses to reduce the training cost between classifications; and e) outputting at least one of said first classification and said first classifier. 10. The method of claim 1 , wherein providing the second subset comprises providing a subset which is comparable to the first subset. | 0.919001 |
9,176,952 | 9 | 13 | 9. A computerized method of statistical machine translation, the method comprising: training a statistical machine translation engine on a bilingual parallel corpus including source language documents and a corresponding target human translation of the source language documents; training a phrasal decoder, separate and distinct from the statistical machine translation engine, on a monolingual parallel corpus, the monolingual parallel corpus including a machine translation output of the source language documents of the bilingual parallel corpus and the corresponding target human translation output of the source language documents of the bilingual parallel corpus, to thereby learn mappings and build a phrase table by establishing phrase pairs between the machine translation output and the target human translation output, wherein the machine translation output is unedited by human translators, assigning to each phrase pair a statistical score representing a utility of each phrase pair; performing statistical machine translation via the statistical machine translation engine trained on the bilingual parallel corpus of a translation input to thereby produce a raw machine translation output; and processing the raw machine translation output to thereby produce a corrected translation output based on the learned mappings and the phrase table, programmatically correcting the raw machine translation output if a statistical score for correspondence of the phrase pair is above a predetermined threshold. | 9. A computerized method of statistical machine translation, the method comprising: training a statistical machine translation engine on a bilingual parallel corpus including source language documents and a corresponding target human translation of the source language documents; training a phrasal decoder, separate and distinct from the statistical machine translation engine, on a monolingual parallel corpus, the monolingual parallel corpus including a machine translation output of the source language documents of the bilingual parallel corpus and the corresponding target human translation output of the source language documents of the bilingual parallel corpus, to thereby learn mappings and build a phrase table by establishing phrase pairs between the machine translation output and the target human translation output, wherein the machine translation output is unedited by human translators, assigning to each phrase pair a statistical score representing a utility of each phrase pair; performing statistical machine translation via the statistical machine translation engine trained on the bilingual parallel corpus of a translation input to thereby produce a raw machine translation output; and processing the raw machine translation output to thereby produce a corrected translation output based on the learned mappings and the phrase table, programmatically correcting the raw machine translation output if a statistical score for correspondence of the phrase pair is above a predetermined threshold. 13. The computerized method of claim 9 , wherein performing statistical machine translation of a translation input includes translating between each of a plurality of language pairs, each language pair having a source language and a target language; wherein the monolingual parallel corpus is one of a plurality of monolingual parallel corpora that the phrasal decoder is trained on, each of the monolingual parallel corpora being for a target language in one of the language pairs, and each of the monolingual parallel corpora including a machine translation output and a corresponding target human translation output; and wherein the target human translation output for each monolingual parallel corpora is from a corresponding bilingual parallel corpus for one of the language pairs. | 0.631332 |
8,712,979 | 1 | 15 | 1. A method comprising: selecting a first configuration item from a source dataset; failing to identify the first configuration item with configuration items in a target dataset of a configuration management database using identification rules without automatically modifiable acceptance criteria; evaluating a rule against the first configuration item and a second configuration item of the target dataset; marking the first configuration item as identified with the second configuration item upon successful evaluation of the rule if a threshold value for the rule exceeds a predetermined acceptance value; and automatically adjusting the threshold value responsive to the act of marking. | 1. A method comprising: selecting a first configuration item from a source dataset; failing to identify the first configuration item with configuration items in a target dataset of a configuration management database using identification rules without automatically modifiable acceptance criteria; evaluating a rule against the first configuration item and a second configuration item of the target dataset; marking the first configuration item as identified with the second configuration item upon successful evaluation of the rule if a threshold value for the rule exceeds a predetermined acceptance value; and automatically adjusting the threshold value responsive to the act of marking. 15. A non-transitory computer readable medium with instructions for a programmable control device stored thereon wherein the instructions cause the programmable control device to perform the method of claim 1 . | 0.90532 |
10,157,224 | 1 | 9 | 1. A method comprising, by one or more computing devices: accessing, by the one or more computing devices, a plurality of communications authored by one or more users of an online social network, each communication being associated with a particular content item and comprising a text of the communication; extracting, for each of the plurality of communications, one or more quotations from the text of the communication; determining, for each extracted quotation, one or more partitions of the quotation; grouping, by the one or more computing devices, the extracted quotations into one or more clusters based on a respective degree of similarity among their respective one or more partitions; calculating, by the one or more computing devices, a cluster-score for each cluster based on a frequency of occurrence of one or more partitions of one or more quotations in the cluster in communications associated with the particular content item; calculating, by the one or more computing devices, a quotation-score for each quotation in a cluster having a cluster-score greater than a threshold cluster-score, wherein the quotation-score is calculated based on the following expression: q+Σ i=0 n (α×similarity metric), wherein q is a count of occurrences of quotations that are exact matches and α is a respective count of occurrences of quotations that are not exact matches in a total set of unique extracted quotations defined from i=0 to i=n, and wherein the similarity metric is a measure of a degree of similarity between a quotation that is an exact match and the respective quotation that is not an exact match; and generating, by the one or more computing devices, a quotations-module comprising one or more representative quotations, each representative quotation being a quotation from a cluster having a cluster-score greater than a threshold cluster-score, and each representative quotation having a quotation-score greater than a threshold quotation-score. | 1. A method comprising, by one or more computing devices: accessing, by the one or more computing devices, a plurality of communications authored by one or more users of an online social network, each communication being associated with a particular content item and comprising a text of the communication; extracting, for each of the plurality of communications, one or more quotations from the text of the communication; determining, for each extracted quotation, one or more partitions of the quotation; grouping, by the one or more computing devices, the extracted quotations into one or more clusters based on a respective degree of similarity among their respective one or more partitions; calculating, by the one or more computing devices, a cluster-score for each cluster based on a frequency of occurrence of one or more partitions of one or more quotations in the cluster in communications associated with the particular content item; calculating, by the one or more computing devices, a quotation-score for each quotation in a cluster having a cluster-score greater than a threshold cluster-score, wherein the quotation-score is calculated based on the following expression: q+Σ i=0 n (α×similarity metric), wherein q is a count of occurrences of quotations that are exact matches and α is a respective count of occurrences of quotations that are not exact matches in a total set of unique extracted quotations defined from i=0 to i=n, and wherein the similarity metric is a measure of a degree of similarity between a quotation that is an exact match and the respective quotation that is not an exact match; and generating, by the one or more computing devices, a quotations-module comprising one or more representative quotations, each representative quotation being a quotation from a cluster having a cluster-score greater than a threshold cluster-score, and each representative quotation having a quotation-score greater than a threshold quotation-score. 9. The method of claim 1 , wherein the degree of similarity is determined based on a partition-similarity metric between the partitions, wherein the partition-similarity metric is based on a Levenshtein distance between the partitions. | 0.748932 |
6,075,968 | 3 | 4 | 3. The system of claim 2, wherein said work station further comprises a telephone modem. | 3. The system of claim 2, wherein said work station further comprises a telephone modem. 4. The system of claim 3, wherein said work station further comprises a CD-ROM drive. | 0.967557 |
7,917,457 | 17 | 18 | 17. The system of claim 10 , wherein the abstract representation is an output data stream in a XML format. | 17. The system of claim 10 , wherein the abstract representation is an output data stream in a XML format. 18. The system of claim 17 , wherein the output data stream in the XML format is displayable as at least one of a graphic flow diagram, pseudo code, and text. | 0.964026 |
7,543,189 | 19 | 20 | 19. A computer readable medium for automated testing of an application program, comprising: testing means having a first language, the application program having a second language that is different from the first language; and process means providing translations of the testing means to the second language, the process means 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 execution in plural languages and having translations to the second language, the supporting files being application program established files and the supporting files having resource name and URL for the second language. | 19. A computer readable medium for automated testing of an application program, comprising: testing means having a first language, the application program having a second language that is different from the first language; and process means providing translations of the testing means to the second language, the process means 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 execution in plural languages and having translations to the second language, the supporting files being application program established files and the supporting files having resource name and URL for the second language. 20. The computer readable medium as claimed in claim 19 wherein the supporting files are any of a property file, a resource file or a resource bundle of the application program. | 0.835196 |
8,799,257 | 9 | 10 | 9. A system comprising: one or more computer devices to: receive a search query from a client, the search query including a plurality of terms entered by a user of the client, the plurality of terms including: a first term related to a topic of a web page, a second term related to a first keyword of a plurality of keywords, a third term related to a second keyword of the plurality of keywords, the plurality of keywords corresponding to a plurality of features of the web page, the plurality of features including: a color of a background of the web page, a feature relating to an image in the web page, and a feature relating to an audible feature of the web page, the first keyword relating to a first feature of the plurality of features, the second keyword relating to a second feature of the plurality of features, and a fourth term to be searched in relation to one of the first feature or the second feature, an index associating the plurality of keywords with information identifying the web page, convert a format of the second term to a format of the first keyword in the index when the format of the second term does not match the format of the first keyword; identify documents based on the search query and using the index, the identified documents including the web page, and provide a search results document to the client, the search results document identifying one or more documents of the identified documents, the one or more documents including the web page. | 9. A system comprising: one or more computer devices to: receive a search query from a client, the search query including a plurality of terms entered by a user of the client, the plurality of terms including: a first term related to a topic of a web page, a second term related to a first keyword of a plurality of keywords, a third term related to a second keyword of the plurality of keywords, the plurality of keywords corresponding to a plurality of features of the web page, the plurality of features including: a color of a background of the web page, a feature relating to an image in the web page, and a feature relating to an audible feature of the web page, the first keyword relating to a first feature of the plurality of features, the second keyword relating to a second feature of the plurality of features, and a fourth term to be searched in relation to one of the first feature or the second feature, an index associating the plurality of keywords with information identifying the web page, convert a format of the second term to a format of the first keyword in the index when the format of the second term does not match the format of the first keyword; identify documents based on the search query and using the index, the identified documents including the web page, and provide a search results document to the client, the search results document identifying one or more documents of the identified documents, the one or more documents including the web page. 10. The system of claim 9 , where the one or more computer devices are further to: generate the plurality of keywords based on the plurality of features of the web page, and where, when generating the plurality of keywords, the one or more computer devices are to: generate the plurality of keywords for: the color of the background of the web page, the feature relating to the image in the web page, and the feature relating to the audible feature of the web page, a color or a size of text in the web page, and a feature relating to a video in the web page, and where the plurality of terms further includes: a term identifying another one of the plurality of keywords that is generated based on another one of the plurality of features, and a term to be searched in relation to the other one of the plurality of features. | 0.626473 |
10,115,056 | 19 | 20 | 19. The non-transitory machine-readable storage medium of claim 15 , the operations further comprising: generating, by the web server, a follow-up question based on the inquiry; and clarifying, by the web server, based on a response to the follow-up question. | 19. The non-transitory machine-readable storage medium of claim 15 , the operations further comprising: generating, by the web server, a follow-up question based on the inquiry; and clarifying, by the web server, based on a response to the follow-up question. 20. The non-transitory machine-readable storage medium of claim 19 , wherein the determining the response to the inquiry from the end user device is further based on the response to the follow-up question. | 0.849486 |
8,412,746 | 1 | 25 | 1. A system, implemented in a data processing system, for managing and querying a plurality of inter-related data sources, the system comprising: an interface to the plurality of inter-related data sources of diverse types, wherein each of the plurality of inter-related data sources has a corresponding schema that describes a corresponding data structure of a corresponding data source; a schema generator communicating with said interface, wherein the schema generator generates a federated schema that describes structures of the plurality of inter-related data sources and inter-relationships of the plurality of inter-related data sources, and wherein the schema generator further modifies the federated schema over time as the plurality of inter-related data sources undergo changes; a query generator communicating with said schema generator, wherein the query generator generates a query for the federated schema; and a storage device in communication with the data processing system, the storage device operable to store the query. | 1. A system, implemented in a data processing system, for managing and querying a plurality of inter-related data sources, the system comprising: an interface to the plurality of inter-related data sources of diverse types, wherein each of the plurality of inter-related data sources has a corresponding schema that describes a corresponding data structure of a corresponding data source; a schema generator communicating with said interface, wherein the schema generator generates a federated schema that describes structures of the plurality of inter-related data sources and inter-relationships of the plurality of inter-related data sources, and wherein the schema generator further modifies the federated schema over time as the plurality of inter-related data sources undergo changes; a query generator communicating with said schema generator, wherein the query generator generates a query for the federated schema; and a storage device in communication with the data processing system, the storage device operable to store the query. 25. The system of claim 1 wherein said schema generator modifies the federated schema when one of the plurality of inter-related data sources is modified. | 0.809406 |
5,488,725 | 41 | 43 | 41. In a system identifying a predetermined number of documents matching a query, in which the system has a database containing identifications of documents in a document collection and defining a plurality of representations representing the contents of the documents, the collection comprising a plurality of documents, query means for defining containing a plurality of concepts, means for determining a probability that a document meets the query based on matches of representations in the document and concepts in the query, and output means for outputting the identifications of documents having a probability at least as great as a probability threshold, apparatus for establishing the probability threshold comprising: sample selection means for iteratively selecting successive samples of a plurality of documents from the collection for examination, each sample containing fewer documents than the entire collection and each successive sample containing documents different from each previous sample; calculating means for calculating probabilities that documents contained in the sample contain representations that match the query; processing means responsive to the sample selection means to identify, during each iteration, up to a preselected number of documents having the highest probabilities, the documents being identified during each iteration from a group consisting of a respective sample of documents end the documents identified during the previous iteration; and threshold setting means responsive to the processing means for setting the probability threshold to the probability of the identified document having the lowest probability. | 41. In a system identifying a predetermined number of documents matching a query, in which the system has a database containing identifications of documents in a document collection and defining a plurality of representations representing the contents of the documents, the collection comprising a plurality of documents, query means for defining containing a plurality of concepts, means for determining a probability that a document meets the query based on matches of representations in the document and concepts in the query, and output means for outputting the identifications of documents having a probability at least as great as a probability threshold, apparatus for establishing the probability threshold comprising: sample selection means for iteratively selecting successive samples of a plurality of documents from the collection for examination, each sample containing fewer documents than the entire collection and each successive sample containing documents different from each previous sample; calculating means for calculating probabilities that documents contained in the sample contain representations that match the query; processing means responsive to the sample selection means to identify, during each iteration, up to a preselected number of documents having the highest probabilities, the documents being identified during each iteration from a group consisting of a respective sample of documents end the documents identified during the previous iteration; and threshold setting means responsive to the processing means for setting the probability threshold to the probability of the identified document having the lowest probability. 43. The apparatus according to claim 41 wherein the preselected number is equal to the number of the respective iteration. | 0.945341 |
8,499,307 | 1 | 6 | 1. A computer system having a memory storing computer executable instructions comprising at least a portion of a supervisory process control and manufacturing information system application distributable to a plurality of networked computer devices and having a layered architecture, the application comprising: application objects that model entities within a process control system, at least one of the application objects comprising: a set of text entries corresponding to words presentable on a user interface in at least a first language; and a set of translation dictionary entry references specified for the set of text entries to enable the set of text entries to be presented in at least a second language different than the first language, and wherein each translation dictionary entry, referenced by one of the set of translation dictionary entry references, includes a set of one or more translation fields for storing text in at least the second language; a scheduler process that scans and executes a set of registered application objects in a run-time environment; engine objects that register the application objects with the scheduler process, start the application objects in a run-time environment, and command the scheduler process to execute the set of registered application objects; and platform objects that execute the engine objects and associated application objects, wherein the at least one of the application objects communicates with other application objects on a same computing device through the engine objects, and communications across the plurality of networked computing devices are supported by the platform objects, thereby insulating communications among application objects from a topology of the computer system within which the application objects execute. | 1. A computer system having a memory storing computer executable instructions comprising at least a portion of a supervisory process control and manufacturing information system application distributable to a plurality of networked computer devices and having a layered architecture, the application comprising: application objects that model entities within a process control system, at least one of the application objects comprising: a set of text entries corresponding to words presentable on a user interface in at least a first language; and a set of translation dictionary entry references specified for the set of text entries to enable the set of text entries to be presented in at least a second language different than the first language, and wherein each translation dictionary entry, referenced by one of the set of translation dictionary entry references, includes a set of one or more translation fields for storing text in at least the second language; a scheduler process that scans and executes a set of registered application objects in a run-time environment; engine objects that register the application objects with the scheduler process, start the application objects in a run-time environment, and command the scheduler process to execute the set of registered application objects; and platform objects that execute the engine objects and associated application objects, wherein the at least one of the application objects communicates with other application objects on a same computing device through the engine objects, and communications across the plurality of networked computing devices are supported by the platform objects, thereby insulating communications among application objects from a topology of the computer system within which the application objects execute. 6. The computer system of claim 1 , wherein the at least one of the application objects further comprises a plurality of object attributes. | 0.681193 |
9,858,338 | 2 | 3 | 2. The computer-implemented method of claim 1 , wherein at least one of the set of annotators normalizes terms in the primary research document and terms in the one or more cited documents to the common ontology. | 2. The computer-implemented method of claim 1 , wherein at least one of the set of annotators normalizes terms in the primary research document and terms in the one or more cited documents to the common ontology. 3. The computer-implemented method of claim 2 , wherein determining that the first monitored change to the cited content undermines semantic conformity with the citing content comprises: comparing the assertions in the collection of cited assertions of the cited document containing the cited content, and the assertions in the collection of citing assertions to identify any significant conflicts between the collection of cited assertions of the cited document and the collection of citing assertions. | 0.927101 |
8,788,271 | 1 | 2 | 1. A method for enabling a user interface to be controlled with voice commands, the method comprising: receiving information specifying a first user interface at a client computer system, the first user interface enabling interaction with an existing application executed on an application server and being a standalone interface that is separate from the existing application; constructing one or more semantic operations by processing the information specifying the first user interface on the client computer system, each of the one or more semantic operations including sub-operations that are executable using user interface elements of the first user interface, the sub-operations comprising identifying a user interface element, selecting the user interface element, and inputting data using the user interface element; registering one or more voice commands to enable voice control of the first user interface and for initiating execution of the one or more semantic operations, each voice command corresponding to one of the semantic operations, the application executed on the application server remaining unmodified in view of the constructing one or more semantic operations and the registering one or more voice commands; displaying the first user interface at the client computer system upon registering the one or more voice commands; and performing one of the semantic operations in response to a first voice command, the first voice command not explicitly referencing the user interface element, wherein performing one of the semantic operations includes automatic execution of each of the sub-operations in response to the first voice command. | 1. A method for enabling a user interface to be controlled with voice commands, the method comprising: receiving information specifying a first user interface at a client computer system, the first user interface enabling interaction with an existing application executed on an application server and being a standalone interface that is separate from the existing application; constructing one or more semantic operations by processing the information specifying the first user interface on the client computer system, each of the one or more semantic operations including sub-operations that are executable using user interface elements of the first user interface, the sub-operations comprising identifying a user interface element, selecting the user interface element, and inputting data using the user interface element; registering one or more voice commands to enable voice control of the first user interface and for initiating execution of the one or more semantic operations, each voice command corresponding to one of the semantic operations, the application executed on the application server remaining unmodified in view of the constructing one or more semantic operations and the registering one or more voice commands; displaying the first user interface at the client computer system upon registering the one or more voice commands; and performing one of the semantic operations in response to a first voice command, the first voice command not explicitly referencing the user interface element, wherein performing one of the semantic operations includes automatic execution of each of the sub-operations in response to the first voice command. 2. The method of claim 1 further comprising: registering one or more additional voice commands to enable switching to a second user interface of a second application, each additional voice command corresponding to a switch to the second user interface; and performing, in response to a second voice command that is one of the additional voice commands and that corresponds to a switch to the second application, the switch to the second user interface corresponding to the second voice command. | 0.686946 |
8,965,129 | 28 | 30 | 28. A non-transitory, computer-readable digital storage medium for storing program code for translating a video feed in real-time from a first language to a second language, the program code comprising: program code to crop a frame of the real-time video feed of one or more words of the first language to fit inside a bounding box to produce a cropped frame; program code to perform character segment detection on the cropped frame to produce a plurality character segments; program code to perform character merging on the character segments to produce a plurality of merged character segments while determining at least a shape score for at least one merged character segment; program code to perform character recognition on the merged character segments by utilizing at least the shape score of the at least one merged character segment to produce a plurality of recognized characters with high scores; program code to perform one or more translations on the recognized characters of the first language into one or more translated words of the second language; and program code to display the translated words of the second language. | 28. A non-transitory, computer-readable digital storage medium for storing program code for translating a video feed in real-time from a first language to a second language, the program code comprising: program code to crop a frame of the real-time video feed of one or more words of the first language to fit inside a bounding box to produce a cropped frame; program code to perform character segment detection on the cropped frame to produce a plurality character segments; program code to perform character merging on the character segments to produce a plurality of merged character segments while determining at least a shape score for at least one merged character segment; program code to perform character recognition on the merged character segments by utilizing at least the shape score of the at least one merged character segment to produce a plurality of recognized characters with high scores; program code to perform one or more translations on the recognized characters of the first language into one or more translated words of the second language; and program code to display the translated words of the second language. 30. The storage medium of claim 28 , wherein the second language is selected from the group consisting of Chinese, Korean, Japanese, Vietnamese, Khmer, Lao, Thai, English, French, Spanish, German, Italian, Portuguese, Russian, Hindi, Greek, Hebrew, and Arabic. | 0.767442 |
8,655,645 | 8 | 10 | 8. A computer system comprising: a receiver module configured to receive information associated with each of a plurality of applications, respective applications of the plurality of applications to be included in an online marketplace that makes multiple applications available, the information associated with representative applications of the plurality of applications being in a first language; a translation module configured to translate the information associated with representative applications of the plurality of applications from the first language to a second language different than the first language; a database module configured to store the information associated with the plurality of applications in the first language in a database and to store the information associated with the plurality of applications in the second language in the database; a query module configured to receive a search request in the second language; a search module configured to search the database to produce a set of search results responsive to the search request; and a transmission module configured to transmit the set of search results. | 8. A computer system comprising: a receiver module configured to receive information associated with each of a plurality of applications, respective applications of the plurality of applications to be included in an online marketplace that makes multiple applications available, the information associated with representative applications of the plurality of applications being in a first language; a translation module configured to translate the information associated with representative applications of the plurality of applications from the first language to a second language different than the first language; a database module configured to store the information associated with the plurality of applications in the first language in a database and to store the information associated with the plurality of applications in the second language in the database; a query module configured to receive a search request in the second language; a search module configured to search the database to produce a set of search results responsive to the search request; and a transmission module configured to transmit the set of search results. 10. The computer system of claim 8 , wherein the translation module is configured to translate the information associated with representative applications of the plurality of application from the first language to a third language different than the first language and different than the second language. | 0.689796 |
8,250,169 | 16 | 17 | 16. The client device of claim 14 , the view layer to generate and render a task detail toolbar customized to provide access to details of the actionable context data in the desktop widget. | 16. The client device of claim 14 , the view layer to generate and render a task detail toolbar customized to provide access to details of the actionable context data in the desktop widget. 17. The client device of claim 16 , the view layer to further generate and render a transient auxiliary pane to enable the task detail toolbar, the transient auxiliary pane switchable between displaying items related to the actionable context data, including resources, activities, or related persons. | 0.939558 |
8,811,638 | 14 | 17 | 14. The method of claim 1 , wherein the identifying the speaker includes: performing speech recognition to convert the received data into text data; and identifying the speaker based on the text data. | 14. The method of claim 1 , wherein the identifying the speaker includes: performing speech recognition to convert the received data into text data; and identifying the speaker based on the text data. 17. The method of claim 14 , further comprising: converting the text data into audio data that represents a voice of a different speaker; and causing the audio data to be played through the hearing device. | 0.920666 |
8,355,179 | 1 | 4 | 1. A printed multi-tonal document with enhanced copy evident distortions security features comprising: a multi-tonal background screen image area including a first set of various size halftone elements and a multi-tonal foreground hidden warning text and/or graphic screen image area including a second set of various size halftone elements, wherein said first set of various size halftone elements are smaller in size than said second set of various size halftone elements, wherein said multi-tonal foreground hidden warning text and/or graphic image area when electronically copied appear different from the background of the copy of said document and wherein each tone of multiple tones produced by a single said background screen and a single said foreground screen are a shade created by one ink color. | 1. A printed multi-tonal document with enhanced copy evident distortions security features comprising: a multi-tonal background screen image area including a first set of various size halftone elements and a multi-tonal foreground hidden warning text and/or graphic screen image area including a second set of various size halftone elements, wherein said first set of various size halftone elements are smaller in size than said second set of various size halftone elements, wherein said multi-tonal foreground hidden warning text and/or graphic image area when electronically copied appear different from the background of the copy of said document and wherein each tone of multiple tones produced by a single said background screen and a single said foreground screen are a shade created by one ink color. 4. The printed multi-tonal document in claim 1 , wherein said first set of various size halftone elements includes dots of varied shapes arranged in a random pattern and having a size ranging from 10 microns to 100 microns. | 0.851531 |
8,868,410 | 4 | 6 | 4. A dialogue-based learning apparatus through dialogue with users, comprising: a speech input unit for inputting speeches; a speech recognition unit for recognizing the input speech; and a behavior and dialogue controller for controlling behaviors and dialogues according to speech recognition results, wherein the behavior and dialogue controller has a topic recognition expert to memorise contents of utterances and to retrieve the topic that best matches the speech recognition results, and a mode switching expert to control mode switching, wherein the mode switching expert switches operation modes of the apparatus between a learning mode and an execution mode in accordance with a command in the recognized speech input through a user utterance, wherein in the learning mode, the topic recognition expert creates a word graph from each speech that the user utters as corresponding to a new topic, the word graph being a plurality of candidate words or sentences that are constructed by words contained in a predetermined dictionary together with associated matching probabilities with respect to the uttered speech, and the topic recognition expert registers each of words constituting the word graph together with associated occurrence frequencies as representing said new topic, the topic recognition expert registering, as representing said new topic, words and associated occurrence frequencies generated by a plurality of the word graphs when the user utters plural speeches as corresponding to the new topic, and wherein in the execution mode, the topic recognition expert performs searches from among topics that have been registered in the learning mode, and selects the maximum likelihood topic. | 4. A dialogue-based learning apparatus through dialogue with users, comprising: a speech input unit for inputting speeches; a speech recognition unit for recognizing the input speech; and a behavior and dialogue controller for controlling behaviors and dialogues according to speech recognition results, wherein the behavior and dialogue controller has a topic recognition expert to memorise contents of utterances and to retrieve the topic that best matches the speech recognition results, and a mode switching expert to control mode switching, wherein the mode switching expert switches operation modes of the apparatus between a learning mode and an execution mode in accordance with a command in the recognized speech input through a user utterance, wherein in the learning mode, the topic recognition expert creates a word graph from each speech that the user utters as corresponding to a new topic, the word graph being a plurality of candidate words or sentences that are constructed by words contained in a predetermined dictionary together with associated matching probabilities with respect to the uttered speech, and the topic recognition expert registers each of words constituting the word graph together with associated occurrence frequencies as representing said new topic, the topic recognition expert registering, as representing said new topic, words and associated occurrence frequencies generated by a plurality of the word graphs when the user utters plural speeches as corresponding to the new topic, and wherein in the execution mode, the topic recognition expert performs searches from among topics that have been registered in the learning mode, and selects the maximum likelihood topic. 6. The dialogue-based learning apparatus according to claim 4 , wherein the speech recognition unit comprises a Small Vocabulary Automatic Speech Recognizer SVASR and a Large Vocabulary Automatic Speech Recognizer LVASR, wherein in the behavior and dialogue controller, a recognition result of the SVASR is forwarded to the mode switching expert, and when the mode switching expert makes a determination on mode switching, the topic recognition expert operates in the learning or execution mode that has been determined by the mode switching expert, and wherein in the learning mode, the topic recognition expert generates a word graph based on speech recognition using the LVASR. | 0.572864 |
8,620,872 | 3 | 4 | 3. The system of claim 1 , wherein the one or more research recommendations comprise citations to the one or more second publications. | 3. The system of claim 1 , wherein the one or more research recommendations comprise citations to the one or more second publications. 4. The system of claim 3 , wherein the content matching engine is further configured to offer to the author one or more pages of the one or more first or second publications. | 0.955815 |
8,340,428 | 1 | 11 | 1. A word spotting method comprising: defining a word model having first parameters and second parameters; extracting writing segments generally comprising images of handwritten character strings from a received document image; adjusting the first parameters of the word model respective to the extracted writing segments without adjusting the second parameters of the word model; and performing word spotting on the received document image using the word model with the adjusted first parameters and the unadjusted second parameters to identify whether a handwritten word of interest is present in the received document image; wherein at least the extracting, the adjusting, and the performing of word spotting are performed by a computer. | 1. A word spotting method comprising: defining a word model having first parameters and second parameters; extracting writing segments generally comprising images of handwritten character strings from a received document image; adjusting the first parameters of the word model respective to the extracted writing segments without adjusting the second parameters of the word model; and performing word spotting on the received document image using the word model with the adjusted first parameters and the unadjusted second parameters to identify whether a handwritten word of interest is present in the received document image; wherein at least the extracting, the adjusting, and the performing of word spotting are performed by a computer. 11. The word spotting method as set forth in claim 1 , further comprising: performing a fast-rejection classification of the extracted writing segments prior to performing word spotting. | 0.780142 |
8,407,169 | 1 | 63 | 1. A system for representation of a real world problem situation said system comprising: a. a computer software process acquiring or capable of accepting a set of input data comprising: seed facts, said set of input data representing real world objects pertaining to a real-world problem situation; b. the computer software process generating new data consisting of additional not-previously-known facts about said real-world problem situation, said additional not-previously known facts comprising acquired facts and reasoned facts; c. the computer software process utilizing: a fact structured representation method representing a first group of facts about a problem situation; a rule structured representation method for representing a first group of rules about a class of problem situations; d. said computer software process representing a plurality of causal features of said problem situation such that a reasoning process results; e. said reasoning process further characterized as performing some elements of deep reasoning. | 1. A system for representation of a real world problem situation said system comprising: a. a computer software process acquiring or capable of accepting a set of input data comprising: seed facts, said set of input data representing real world objects pertaining to a real-world problem situation; b. the computer software process generating new data consisting of additional not-previously-known facts about said real-world problem situation, said additional not-previously known facts comprising acquired facts and reasoned facts; c. the computer software process utilizing: a fact structured representation method representing a first group of facts about a problem situation; a rule structured representation method for representing a first group of rules about a class of problem situations; d. said computer software process representing a plurality of causal features of said problem situation such that a reasoning process results; e. said reasoning process further characterized as performing some elements of deep reasoning. 63. The system according to claim 1 wherein said system further comprises an input seed fact group comprising said starting state fact. | 0.832921 |
8,209,278 | 4 | 5 | 4. The computer system of claim 1 further performing an operation of presenting said blocks of text ordered by favorability. | 4. The computer system of claim 1 further performing an operation of presenting said blocks of text ordered by favorability. 5. The computer system of claim 4 further performing an operation of ordering said blocks of text by length. | 0.978191 |
9,549,227 | 8 | 11 | 8. One or more computer-readable non-transitory storage media in one or more computing systems, the media embodying logic that is operable when executed to: provide social content for display in a mobile application running on a mobile device of a user of a social-networking system, the mobile application configured to display an interface for selecting media content to view on a display device of the user that is separate from the mobile device, wherein: the social content is determined from a social graph of the social-networking system, the social graph comprising a plurality of nodes and edges connecting the nodes, the nodes and edges comprising: device nodes that each correspond to a respective mobile device; user nodes that are each associated with a particular user of the social-networking system; concept nodes that are each associated with particular media content; and a plurality of ownership edges connecting the user nodes and the device nodes, each particular ownership edge indicating that a particular user corresponding to a particular user node owns a particular device corresponding to a particular device node; the mobile device of the user is determined by analyzing the device nodes and the ownership edges of the social graph; and the interface of the mobile application is configured to display, proximate to each particular media content that is displayed for selection, particular social content that is connected to both the user and the particular media content in the social graph, the particular social content comprising: an identification of at least one friend of the user who has previously liked the particular media content; and an identification of at least one friend of the user who is currently watching the particular media content; receive an indication from the mobile application that an option to view particular media content has been selected by the user using the interface of the mobile application running on the mobile device; and in response to the selection by the user on the mobile device, provide one or more instructions to display the selected particular media content on the display device of the user that is separate from the mobile device. | 8. One or more computer-readable non-transitory storage media in one or more computing systems, the media embodying logic that is operable when executed to: provide social content for display in a mobile application running on a mobile device of a user of a social-networking system, the mobile application configured to display an interface for selecting media content to view on a display device of the user that is separate from the mobile device, wherein: the social content is determined from a social graph of the social-networking system, the social graph comprising a plurality of nodes and edges connecting the nodes, the nodes and edges comprising: device nodes that each correspond to a respective mobile device; user nodes that are each associated with a particular user of the social-networking system; concept nodes that are each associated with particular media content; and a plurality of ownership edges connecting the user nodes and the device nodes, each particular ownership edge indicating that a particular user corresponding to a particular user node owns a particular device corresponding to a particular device node; the mobile device of the user is determined by analyzing the device nodes and the ownership edges of the social graph; and the interface of the mobile application is configured to display, proximate to each particular media content that is displayed for selection, particular social content that is connected to both the user and the particular media content in the social graph, the particular social content comprising: an identification of at least one friend of the user who has previously liked the particular media content; and an identification of at least one friend of the user who is currently watching the particular media content; receive an indication from the mobile application that an option to view particular media content has been selected by the user using the interface of the mobile application running on the mobile device; and in response to the selection by the user on the mobile device, provide one or more instructions to display the selected particular media content on the display device of the user that is separate from the mobile device. 11. The media of claim 8 , wherein the social content comprises one or more of: an indication of a number of other users of the social-networking system who are viewing the media content; an indication of a number of other users of the social-networking system who like the media content; an advertisement; a notification; a post; a photo; a name of another user of the social-networking system; a facepile; and a chat message. | 0.579724 |
8,527,496 | 5 | 11 | 5. The method of claim 1 , wherein the presentation of the retrieved posts to the user comprises applying a ranking to the retrieved posts. | 5. The method of claim 1 , wherein the presentation of the retrieved posts to the user comprises applying a ranking to the retrieved posts. 11. The method of claim 5 , wherein the ranking comprises ranking the retrieved posts based at least in part on similarity of users. | 0.95941 |
8,595,635 | 9 | 10 | 9. A method in a user computing device for selecting content items from a source web page and posting content items to web logs, comprising: loading, by the user computing device, a source web page; displaying, by the user computing device, the loaded source web page to provide a plurality of displayed content items; receiving, via a user pointing device of the user computing device, input selecting one or more selected content items from among the plurality of displayed content items, the selected content items being selectable exclusive of non-selected content items among the plurality of display content items; receiving access credentials for a web log; accessing the web log at a network location by communicating the received access credentials to the web log; receiving, from one or more blog servers, web log publication information associated with the web log, the web log publication information including a web log ID and a corresponding URL; comparing the URL of the web log publication information with a URL of the access credentials; determining that the URL of the web log publication information matches the URL of the access credentials; and transmitting, by the user computing device, the web log ID and a post including a definition of the selected content items to the web log in a format suitable for receipt and posting of the selected content items on the web log. | 9. A method in a user computing device for selecting content items from a source web page and posting content items to web logs, comprising: loading, by the user computing device, a source web page; displaying, by the user computing device, the loaded source web page to provide a plurality of displayed content items; receiving, via a user pointing device of the user computing device, input selecting one or more selected content items from among the plurality of displayed content items, the selected content items being selectable exclusive of non-selected content items among the plurality of display content items; receiving access credentials for a web log; accessing the web log at a network location by communicating the received access credentials to the web log; receiving, from one or more blog servers, web log publication information associated with the web log, the web log publication information including a web log ID and a corresponding URL; comparing the URL of the web log publication information with a URL of the access credentials; determining that the URL of the web log publication information matches the URL of the access credentials; and transmitting, by the user computing device, the web log ID and a post including a definition of the selected content items to the web log in a format suitable for receipt and posting of the selected content items on the web log. 10. The method of claim 9 wherein the transmitted definition includes a source page hypertext link leading to the source web page. | 0.951745 |
8,515,900 | 8 | 14 | 8. A computer-implemented people matching system comprising one or more processor-based devices configured to execute: a computer-implemented function that assesses a first location associated with a first user and a non-temporal environmental condition local to the first user; a computer-implemented function that assesses a second location associated with a second user; and a matching function generates a match between the first user and the second user based, at least in part on the first location, the second location, and the environmental condition. | 8. A computer-implemented people matching system comprising one or more processor-based devices configured to execute: a computer-implemented function that assesses a first location associated with a first user and a non-temporal environmental condition local to the first user; a computer-implemented function that assesses a second location associated with a second user; and a matching function generates a match between the first user and the second user based, at least in part on the first location, the second location, and the environmental condition. 14. The system of claim 8 further comprising: an explanatory function that delivers an explanation for a match to the first user, wherein the explanation references the non-temporal environmental condition. | 0.768539 |
5,384,633 | 5 | 6 | 5. In an electronic image processing apparatus having a plurality of image processing resources for reproducing images including a controller with a user interface for directing the operation of the image processing resources, the user interface including a machine interrupt feature and a copy wait feature, a document slot for receiving individual documents to be copied, a method of rapid machine interrupt of a job in process independent of the machine interrupt feature, comprising the steps of: activating the copy wait feature including the step of inserting a document in the document slot, detecting the document present at the document slot, and conveying said document present at the document slot to an imaging platen whereby copies of the document in the document slot are produced independent of the machine interrupt feature. | 5. In an electronic image processing apparatus having a plurality of image processing resources for reproducing images including a controller with a user interface for directing the operation of the image processing resources, the user interface including a machine interrupt feature and a copy wait feature, a document slot for receiving individual documents to be copied, a method of rapid machine interrupt of a job in process independent of the machine interrupt feature, comprising the steps of: activating the copy wait feature including the step of inserting a document in the document slot, detecting the document present at the document slot, and conveying said document present at the document slot to an imaging platen whereby copies of the document in the document slot are produced independent of the machine interrupt feature. 6. The method of claim 5 including a step of automatically determining that the job in process will not be completed within a given time period. | 0.883495 |
5,459,579 | 1 | 8 | 1. A multifunctional document processing system comprising: a host computer including a control module disposed therein; a multifunctional local peripheral device physically separate from but electrically connected to said host computer, said multifunctional local peripheral device including scanning means for optically scanning document information and for converting the scanned document information into first document signals, transmitting means for transmitting the first document signals to the host computer, receiving means for receiving second document signals from the control module, and recording means for producing a recorded form of document information based on the received second document signals; the control module being interfaced between the host computer and the multifunctional local peripheral device, the control module for receiving the first document signals from the multifunctional local peripheral device and third document signals from a remote device and for sending the received first and third document signals to the host computer, the control module also for receiving the second document signals and fourth document signals from the host computer, for sending the received second document signals to the multifunctional local peripheral device and for sending the received fourth document signals to the remote device, the control module functioning to require that the first document signals from the multifunctional local peripheral device and the third document signals from the remote device be transmitted to the host computer, that the second document signals from the host computer be transmitted to the multifunctional local peripheral device, and that the fourth document signals from the host computer be transmitted to the remote device, the control module further functioning to generate and transmit control signals to the multifunctional local peripheral device, storing means for storing the first document signals received from said multifunctional local peripheral device and the third document signals received from said remote device in a memory within said host computer; determining means within the host computer for determining a destination for the stored first and third document signals based on the first and third document signals; and retrieving means for retrieving stored first and third document signals from the memory and transmitting the retrieved first and third document signals as the second document signals to the multifunctional local peripheral device or the fourth document signals to the remote device, according to the determining means. | 1. A multifunctional document processing system comprising: a host computer including a control module disposed therein; a multifunctional local peripheral device physically separate from but electrically connected to said host computer, said multifunctional local peripheral device including scanning means for optically scanning document information and for converting the scanned document information into first document signals, transmitting means for transmitting the first document signals to the host computer, receiving means for receiving second document signals from the control module, and recording means for producing a recorded form of document information based on the received second document signals; the control module being interfaced between the host computer and the multifunctional local peripheral device, the control module for receiving the first document signals from the multifunctional local peripheral device and third document signals from a remote device and for sending the received first and third document signals to the host computer, the control module also for receiving the second document signals and fourth document signals from the host computer, for sending the received second document signals to the multifunctional local peripheral device and for sending the received fourth document signals to the remote device, the control module functioning to require that the first document signals from the multifunctional local peripheral device and the third document signals from the remote device be transmitted to the host computer, that the second document signals from the host computer be transmitted to the multifunctional local peripheral device, and that the fourth document signals from the host computer be transmitted to the remote device, the control module further functioning to generate and transmit control signals to the multifunctional local peripheral device, storing means for storing the first document signals received from said multifunctional local peripheral device and the third document signals received from said remote device in a memory within said host computer; determining means within the host computer for determining a destination for the stored first and third document signals based on the first and third document signals; and retrieving means for retrieving stored first and third document signals from the memory and transmitting the retrieved first and third document signals as the second document signals to the multifunctional local peripheral device or the fourth document signals to the remote device, according to the determining means. 8. The system according to claim 1, wherein the host computer further includes memory means for storing the first and second document signals. | 0.553459 |
9,984,679 | 10 | 11 | 10. A system comprising: a processor; and a computer-readable storage device having instructions stored which, when executed by the processor, cause the processor to perform operations comprising: weighting a first automatic speech recognition model, to yield a weighted first automatic speech recognition model; weighting a second automatic speech recognition model, to yield a weighted second automatic speech recognition model; converting speech to text using the weighted first automatic speech recognition model, to yield a first transcript; converting the speech to text using the weighted second automatic speech recognition model, to yield a second transcript; receiving, from a user, a judgment of perceived accuracy of one of the first transcript and the second transcript; and updating one of the weighted first automatic speech recognition model and the weighted second automatic speech recognition model based on the judgment. | 10. A system comprising: a processor; and a computer-readable storage device having instructions stored which, when executed by the processor, cause the processor to perform operations comprising: weighting a first automatic speech recognition model, to yield a weighted first automatic speech recognition model; weighting a second automatic speech recognition model, to yield a weighted second automatic speech recognition model; converting speech to text using the weighted first automatic speech recognition model, to yield a first transcript; converting the speech to text using the weighted second automatic speech recognition model, to yield a second transcript; receiving, from a user, a judgment of perceived accuracy of one of the first transcript and the second transcript; and updating one of the weighted first automatic speech recognition model and the weighted second automatic speech recognition model based on the judgment. 11. The system of claim 10 , wherein the weighting of the first automatic speech recognition model and the weighting of the second automatic speech recognition model is based on a context of the speech. | 0.504902 |
9,858,355 | 12 | 14 | 12. The computer program product of claim 8 , said search method further comprising: receiving, by the server, from one or more users via computing devices, a plurality of search queries each having synonymous different key words to be searched at the first website; receiving, by the server, search result data from the first website in response to each of the plurality of search queries, each of the plurality of search result data comprising corresponding search result data to include a number of times each said search query has been received by the first website in the predetermined time period; determining, by the server, whether each of the plurality of search queries has been received by the first website in the predetermined time period to exceed the predetermined popularity threshold value; storing, by the server, each search query of the plurality of search queries and corresponding search result data onto the static html page in response to a determination that the number of times said each search query has been received by the first website exceeds the predetermined popularity threshold value; and generating and storing, by the server, the site map corresponding to the first website, said site map including the static html page onto which each search query of the plurality of search queries and the corresponding search result data are stored. | 12. The computer program product of claim 8 , said search method further comprising: receiving, by the server, from one or more users via computing devices, a plurality of search queries each having synonymous different key words to be searched at the first website; receiving, by the server, search result data from the first website in response to each of the plurality of search queries, each of the plurality of search result data comprising corresponding search result data to include a number of times each said search query has been received by the first website in the predetermined time period; determining, by the server, whether each of the plurality of search queries has been received by the first website in the predetermined time period to exceed the predetermined popularity threshold value; storing, by the server, each search query of the plurality of search queries and corresponding search result data onto the static html page in response to a determination that the number of times said each search query has been received by the first website exceeds the predetermined popularity threshold value; and generating and storing, by the server, the site map corresponding to the first website, said site map including the static html page onto which each search query of the plurality of search queries and the corresponding search result data are stored. 14. The computer program product of claim 12 , said search method further comprising: submitting, by the server to public search engine crawlers, the site map including the static html page onto which each search query of the plurality of search queries and the corresponding search result data are stored, said site map to be searched by the public search engine crawlers. | 0.868105 |
8,027,876 | 1 | 12 | 1. A method comprising: providing an online advertisement linked to content; obtaining, by a computer system, a macro-context numerically quantifying the affinity of the content for each subject matter domain of a plurality of subject matter domains; obtaining, by the computer system, a personalization vector numerically quantifying the affinity of a user for each subject matter domain of the plurality of subject matter domains; selecting, by the user, the online advertisement; directing, by the computer system in direct response to the selecting, the user to the first content; calculating, by the computer system, a match value quantifying the similarity between the personalization vector and the macro-context. | 1. A method comprising: providing an online advertisement linked to content; obtaining, by a computer system, a macro-context numerically quantifying the affinity of the content for each subject matter domain of a plurality of subject matter domains; obtaining, by the computer system, a personalization vector numerically quantifying the affinity of a user for each subject matter domain of the plurality of subject matter domains; selecting, by the user, the online advertisement; directing, by the computer system in direct response to the selecting, the user to the first content; calculating, by the computer system, a match value quantifying the similarity between the personalization vector and the macro-context. 12. The method of claim 1 , further comprising billing an advertiser associated with the online advertisement a greater amount when the match value is above a match threshold selected by the advertiser. | 0.856534 |
8,572,106 | 1 | 6 | 1. A token stitcher for determining whether an input string of characters matches a regular expression comprising a number of sub-expressions, the token stitcher comprising: a flag bank storing a number of flags, where each flag identifies one or more of the sub-expressions that match the input string; and a token stitcher engine configured to implement an unbounded sub-expression without utilizing resources of a deterministic finite state automaton (DFA) engine or a non-deterministic finite state automaton (NFA) engine and to identify one or lore programs stored in a program memory that are associated with a new token received by the token stitcher, wherein a particular program in the program memory is configured to indicate a match when a particular set of flags in the flag bank are asserted, and wherein the flag bank is configured to discard one or more flags upon satisfaction of a predetermined condition and wherein the token stitcher is implemented by at least one processor-based computing device. | 1. A token stitcher for determining whether an input string of characters matches a regular expression comprising a number of sub-expressions, the token stitcher comprising: a flag bank storing a number of flags, where each flag identifies one or more of the sub-expressions that match the input string; and a token stitcher engine configured to implement an unbounded sub-expression without utilizing resources of a deterministic finite state automaton (DFA) engine or a non-deterministic finite state automaton (NFA) engine and to identify one or lore programs stored in a program memory that are associated with a new token received by the token stitcher, wherein a particular program in the program memory is configured to indicate a match when a particular set of flags in the flag bank are asserted, and wherein the flag bank is configured to discard one or more flags upon satisfaction of a predetermined condition and wherein the token stitcher is implemented by at least one processor-based computing device. 6. The token stitcher of claim 1 , wherein the flag bank is configured to discard, upon satisfaction of the predetermined condition, one flag associated with a sub-expression that was matched at an offset which is further from a current offset being examined in the input string than any other sub-expression. | 0.503215 |
9,087,132 | 19 | 20 | 19. The method of tying a geospatial location to a PIDF-LO file according to claim 18 , wherein: said URL of XML content is inserted in an “entity=” list in said <presence . . . > section of said PIDF-LO file. | 19. The method of tying a geospatial location to a PIDF-LO file according to claim 18 , wherein: said URL of XML content is inserted in an “entity=” list in said <presence . . . > section of said PIDF-LO file. 20. The method of tying a geospatial location to a PIDF-LO file according to claim 19 , wherein: said URL of XML content is also inserted in a “src=” list in said <presence . . . > section of said PIDF-LO file. | 0.865039 |
8,880,548 | 1 | 2 | 1. A system, comprising: a hardware processor; and hardware storage storing computer-readable instructions which, when executed by the hardware processor, cause the hardware processor to: obtain an input search query from a user, the input search query comprising an input search term, identify instances where other users have used the input search term in other search queries and added additional search terms to the other search queries to obtain refined search queries, wherein the refined search queries were previously entered by the other users, organize the refined search queries that were previously entered by the other users into at least multiple first refined search queries associated with a first topic and multiple second refined search queries associated with a second topic, estimate a first relative likelihood that an intent of the user matches the first topic, estimate a second relative likelihood that the intent of the user matches the second topic, the first relative likelihood being greater than the second relative likelihood, cause the multiple first related refined search queries that were previously entered by the other users to be displayed on a graphical user interface (GUI) concurrently with the multiple second refined search queries that were previously entered by the other users, the multiple first refined search queries being displayed relatively more prominently than the multiple second refined search queries to show that the first relative likelihood that the intent of the user matches the first topic is greater than the second relative likelihood that the intent of the user matches the second topic, and responsive to a scrolling action of a user input device, display additional first refined search queries associated with the first topic on the GUI while continuing to display the multiple second refined search queries associated with the second topic, wherein the additional first refined search queries were also previously entered by the other users by adding further additional search terms to the input search term. | 1. A system, comprising: a hardware processor; and hardware storage storing computer-readable instructions which, when executed by the hardware processor, cause the hardware processor to: obtain an input search query from a user, the input search query comprising an input search term, identify instances where other users have used the input search term in other search queries and added additional search terms to the other search queries to obtain refined search queries, wherein the refined search queries were previously entered by the other users, organize the refined search queries that were previously entered by the other users into at least multiple first refined search queries associated with a first topic and multiple second refined search queries associated with a second topic, estimate a first relative likelihood that an intent of the user matches the first topic, estimate a second relative likelihood that the intent of the user matches the second topic, the first relative likelihood being greater than the second relative likelihood, cause the multiple first related refined search queries that were previously entered by the other users to be displayed on a graphical user interface (GUI) concurrently with the multiple second refined search queries that were previously entered by the other users, the multiple first refined search queries being displayed relatively more prominently than the multiple second refined search queries to show that the first relative likelihood that the intent of the user matches the first topic is greater than the second relative likelihood that the intent of the user matches the second topic, and responsive to a scrolling action of a user input device, display additional first refined search queries associated with the first topic on the GUI while continuing to display the multiple second refined search queries associated with the second topic, wherein the additional first refined search queries were also previously entered by the other users by adding further additional search terms to the input search term. 2. The system of claim 1 , wherein the computer-readable instructions further cause the hardware processor to: refine one or more of the first relative likelihood or the second relative likelihood based upon subsequent user input so that the second relative likelihood is greater than the first relative likelihood, and dynamically update the GUI so that the multiple second refined search queries that were previously entered by the other users are displayed relatively more prominently than the multiple first refined search queries that were previously entered by the other users to show that the second relative likelihood is greater than the first relative likelihood. | 0.500742 |
9,367,878 | 1 | 2 | 1. A method for recommending content in a social network, comprising: logging a set of actions of a user; categorizing the set of actions into interest categories; weighting the interest categories to generate weighted interest categories, the weighting comprising: for a first interest category associated with a first subset of the set of actions: identifying one or more types of actions associated with the first interest category, respective types of actions associated with an action weight, the identifying comprising: identifying a first type of action corresponding to a search action, a second type of action corresponding to a subscribe action, and a third type of action corresponding to a click action, the first type of action, the second type of action and the third type of action associated with the first interest category, the first type of action having a first action weight, the second type of action having a second action weight, and the third type of action having a third action weight; and assigning a first weight to the first interest category based on the one or more types of actions associated with the first interest category and an action weight associated with each of the one or more types of actions; calculating an interest social index for the user as a function of the weighted interest categories; and providing, on a social page associated with the social network, and based on the interest social index, a first indication of a first suggested topic and a first value corresponding to a likelihood of one or more users in the social network engaging the first suggested topic and a second indication of a second suggested topic and a second value corresponding to a likelihood of one or more users in the social network engaging the second suggested topic. | 1. A method for recommending content in a social network, comprising: logging a set of actions of a user; categorizing the set of actions into interest categories; weighting the interest categories to generate weighted interest categories, the weighting comprising: for a first interest category associated with a first subset of the set of actions: identifying one or more types of actions associated with the first interest category, respective types of actions associated with an action weight, the identifying comprising: identifying a first type of action corresponding to a search action, a second type of action corresponding to a subscribe action, and a third type of action corresponding to a click action, the first type of action, the second type of action and the third type of action associated with the first interest category, the first type of action having a first action weight, the second type of action having a second action weight, and the third type of action having a third action weight; and assigning a first weight to the first interest category based on the one or more types of actions associated with the first interest category and an action weight associated with each of the one or more types of actions; calculating an interest social index for the user as a function of the weighted interest categories; and providing, on a social page associated with the social network, and based on the interest social index, a first indication of a first suggested topic and a first value corresponding to a likelihood of one or more users in the social network engaging the first suggested topic and a second indication of a second suggested topic and a second value corresponding to a likelihood of one or more users in the social network engaging the second suggested topic. 2. The method of claim 1 , comprising: calculating an influencer social index based on the interest social index and one or more searches which led to a profile of a second user. | 0.903575 |
9,195,752 | 8 | 10 | 8. A method comprising: processing, by one or more processors, a communication received from an input/output port relating to one or more types of computer-based social behavior for multiple users of a computing network; deriving, by the one or more processors, a semantically-sensitive vocabulary taxonomy based on the word-based social behavior, the semantically sensitive vocabulary taxonomy indicating one or more meanings for one or more words; determining, by the one or more processors, two or more implied topic-specific social networks based at least in part on the obtained social behavior and utilizing the semantically-sensitive vocabulary taxonomy, wherein at least one word has a first meaning within a first implied topic-specific social network and a second meaning, different from the first meaning, within a second implied topic-specific social network; facilitating presentation, by the one or more processors, of a recommendation of at least one item or person of potential interest by transmitting a communication to display a graphical user interface to the user including a recommendation of an item or person of potential interest to a user in at least one of the two or more topic-specific social networks, wherein the recommended item is determined based at least in part on social behavior associated with users in the at least one of the two or more topic-specific social networks; facilitating presentation, within the graphical user interface by the one or more processors, of an indication of the rationale utilized in determining that the at least one item or person may be of interest to the user; and facilitating presentation, within the graphical user interface by the one or more processors, of an opportunity for the user to provide feedback relating to the recommendation or the rationale. | 8. A method comprising: processing, by one or more processors, a communication received from an input/output port relating to one or more types of computer-based social behavior for multiple users of a computing network; deriving, by the one or more processors, a semantically-sensitive vocabulary taxonomy based on the word-based social behavior, the semantically sensitive vocabulary taxonomy indicating one or more meanings for one or more words; determining, by the one or more processors, two or more implied topic-specific social networks based at least in part on the obtained social behavior and utilizing the semantically-sensitive vocabulary taxonomy, wherein at least one word has a first meaning within a first implied topic-specific social network and a second meaning, different from the first meaning, within a second implied topic-specific social network; facilitating presentation, by the one or more processors, of a recommendation of at least one item or person of potential interest by transmitting a communication to display a graphical user interface to the user including a recommendation of an item or person of potential interest to a user in at least one of the two or more topic-specific social networks, wherein the recommended item is determined based at least in part on social behavior associated with users in the at least one of the two or more topic-specific social networks; facilitating presentation, within the graphical user interface by the one or more processors, of an indication of the rationale utilized in determining that the at least one item or person may be of interest to the user; and facilitating presentation, within the graphical user interface by the one or more processors, of an opportunity for the user to provide feedback relating to the recommendation or the rationale. 10. The method of claim 8 , wherein the facilitating presentation of an indication of the rationale comprises transmitting a communication to present elements of the vocabulary taxonomy. | 0.666667 |
9,524,751 | 9 | 14 | 9. An apparatus for multimedia content generation, comprising: a user terminal including a screen, which is configured to receive from a user, a text that will serve as audio narration in a video clip, to automatically collect from one or more databases, responsive to the received text that will serve as audio narration in the video clip, a collection of media items to be selectively included in the video clip, to present to the user, on the screen, in a graphic user interface (GUI), the received text that will serve as audio narration in the video clip and the collection of media items and to receive from the user, through the GUI, instructions, which associate one or more selected media items from the automatically collected collection of media items, with corresponding elements of the received text; and a processor, which is configured to automatically generate the video clip, such that the selected media items appear in the video clip in the order of the corresponding elements in the received text and in synchronization with the corresponding elements of the received text in accordance with the instructions, which associate the one or more selected media items with corresponding elements of the received text. | 9. An apparatus for multimedia content generation, comprising: a user terminal including a screen, which is configured to receive from a user, a text that will serve as audio narration in a video clip, to automatically collect from one or more databases, responsive to the received text that will serve as audio narration in the video clip, a collection of media items to be selectively included in the video clip, to present to the user, on the screen, in a graphic user interface (GUI), the received text that will serve as audio narration in the video clip and the collection of media items and to receive from the user, through the GUI, instructions, which associate one or more selected media items from the automatically collected collection of media items, with corresponding elements of the received text; and a processor, which is configured to automatically generate the video clip, such that the selected media items appear in the video clip in the order of the corresponding elements in the received text and in synchronization with the corresponding elements of the received text in accordance with the instructions, which associate the one or more selected media items with corresponding elements of the received text. 14. The apparatus according to claim 9 , wherein the user terminal is configured to present the text and receive the instructions by interacting with the user over a screen of a mobile communication device. | 0.650847 |
8,065,150 | 1 | 3 | 1. A text-to-speech system comprising: at least one processor configured to; accept text input; provide synthetic speech output corresponding to the text input; accept instruction for at least one emotion-based paradigm wherein the instruction adapts the at least one processor to accept at least one emoticon-based command from a user interface that indicates at least one emotion to impart to speech synthesized from at least a portion of the text input; and apply the at least one emotion-based paradigm comprising: selecting at least one segment from a data store of audio segments, the selecting of the at least one segment being based at least in part on the at least one emoticon-based command to assist in imparting the at least one emotion to the speech synthesized from at least the portion of the text input; and altering at least one prosodic pattern to be used in synthetic speech output based at least in part on the at least one emoticon-based command. | 1. A text-to-speech system comprising: at least one processor configured to; accept text input; provide synthetic speech output corresponding to the text input; accept instruction for at least one emotion-based paradigm wherein the instruction adapts the at least one processor to accept at least one emoticon-based command from a user interface that indicates at least one emotion to impart to speech synthesized from at least a portion of the text input; and apply the at least one emotion-based paradigm comprising: selecting at least one segment from a data store of audio segments, the selecting of the at least one segment being based at least in part on the at least one emoticon-based command to assist in imparting the at least one emotion to the speech synthesized from at least the portion of the text input; and altering at least one prosodic pattern to be used in synthetic speech output based at least in part on the at least one emoticon-based command. 3. The system according to claim 1 , wherein applying the at least one emotion-based paradigm alters at least one of: prosody, intonation, and intonation intensity. | 0.828452 |
8,122,034 | 7 | 8 | 7. The method of claim 1 , wherein the hand-held text input device includes a set of overloaded keys generating an ambiguous text input. | 7. The method of claim 1 , wherein the hand-held text input device includes a set of overloaded keys generating an ambiguous text input. 8. The method of claim 7 , wherein the hand-held text input device is a phone, a mobile computing device, or a remote control device for a television. | 0.977941 |
8,523,572 | 19 | 20 | 19. A method according to claim 18 , wherein said information transmitting step comprises transmitting information about a particular group. | 19. A method according to claim 18 , wherein said information transmitting step comprises transmitting information about a particular group. 20. A method according to claim 19 , wherein said transmitting step comprises transmitting information about a profession of a character to said front portion of said at least one finger. | 0.940064 |
10,152,546 | 1 | 7 | 1. A method for performing a search in a browser implemented by a computing terminal comprising a processor and a memory, comprising: receiving one or more keywords entered by a user in a current search engine through the browser; based on the keywords entered in the current search engine, searching data from the current search engine; displaying a first search engine results page from the current search engine to the user; after the first search engine results page is displayed, detecting an operation event of the user in the first search engine results page, the operation event being one of a scrolling operation event and a clicking event; determining whether the operation event of the user meets preset switching criteria, wherein the preset switching criteria include at least one of: a scrolling operation event that scrolls to a bottom of the first search engine results page; a scrolling operation event that scrolls to the bottom of the first search engine results page and re-scrolls back to a top of the first search engine results page; and a clicking event on a button that requests a next results page; when determining the operation event of the user in the first search engine results page meets the preset switching criteria, displaying alternative search engines on a search engine switching user interface, wherein the search engine switching user interface is not rendered until the operation event meets the preset switching criteria; extracting a search web address template corresponding to an alternative search engine selected by the user; loading the keywords entered in the current search engine into the search web address template corresponding to the alternative search engine to search data from the alternative search engine; displaying a second search engine results page from the selected alternative search engine; when the user clicks a search result link in the second search engine results page to enter a webpage corresponding to the search result link, cancelling display of the search engine switching user interface; and when detecting that the user returns to the second search engine results page from the webpage corresponding to the search result link, redisplaying the search engine switching user interface. | 1. A method for performing a search in a browser implemented by a computing terminal comprising a processor and a memory, comprising: receiving one or more keywords entered by a user in a current search engine through the browser; based on the keywords entered in the current search engine, searching data from the current search engine; displaying a first search engine results page from the current search engine to the user; after the first search engine results page is displayed, detecting an operation event of the user in the first search engine results page, the operation event being one of a scrolling operation event and a clicking event; determining whether the operation event of the user meets preset switching criteria, wherein the preset switching criteria include at least one of: a scrolling operation event that scrolls to a bottom of the first search engine results page; a scrolling operation event that scrolls to the bottom of the first search engine results page and re-scrolls back to a top of the first search engine results page; and a clicking event on a button that requests a next results page; when determining the operation event of the user in the first search engine results page meets the preset switching criteria, displaying alternative search engines on a search engine switching user interface, wherein the search engine switching user interface is not rendered until the operation event meets the preset switching criteria; extracting a search web address template corresponding to an alternative search engine selected by the user; loading the keywords entered in the current search engine into the search web address template corresponding to the alternative search engine to search data from the alternative search engine; displaying a second search engine results page from the selected alternative search engine; when the user clicks a search result link in the second search engine results page to enter a webpage corresponding to the search result link, cancelling display of the search engine switching user interface; and when detecting that the user returns to the second search engine results page from the webpage corresponding to the search result link, redisplaying the search engine switching user interface. 7. The method according to claim 1 , further comprising: blocking a partial view of the first search engine results page by overlaying the search engine switching user interface on the first search engine results page. | 0.861499 |
8,086,557 | 11 | 13 | 11. The method of claim 1 , wherein the assessing of the factuality of the information source's statement comprises identifying a form of at least one predicate in the statement and determining the factuality of the statement based on the form of the at least one predicate. | 11. The method of claim 1 , wherein the assessing of the factuality of the information source's statement comprises identifying a form of at least one predicate in the statement and determining the factuality of the statement based on the form of the at least one predicate. 13. The method of claim 11 , wherein when a sole or embedding predicate is a verb, its factuality is a function of the tense of the verb. | 0.921264 |
8,850,306 | 1 | 2 | 1. An apparatus, comprising: a logic device; and an application operative on the logic device to generate a document from a document template, the application comprising: a document template component operative to retrieve the document template, the document template comprising multiple document parts; a content control component operative to manage an enhanced repeating section content control embedded in a document part of the document template, the enhanced repeating section content control associated with a data store arranged to store formatted content presented by the enhanced repeating section content control, the content control component operative to synchronize changes to the formatted content between the enhanced repeating section content control and the data store, wherein the enhanced repeating section content control is placed around at least one of a: paragraph, a row, and a table in a document part, and is operative to insert a cloned copy of the enhanced repeating section content control into the document part in response to receiving a control directive at the enhanced repeating section content control; and a document generator component operative to generate the document from the document template with the enhanced repeating section content control. | 1. An apparatus, comprising: a logic device; and an application operative on the logic device to generate a document from a document template, the application comprising: a document template component operative to retrieve the document template, the document template comprising multiple document parts; a content control component operative to manage an enhanced repeating section content control embedded in a document part of the document template, the enhanced repeating section content control associated with a data store arranged to store formatted content presented by the enhanced repeating section content control, the content control component operative to synchronize changes to the formatted content between the enhanced repeating section content control and the data store, wherein the enhanced repeating section content control is placed around at least one of a: paragraph, a row, and a table in a document part, and is operative to insert a cloned copy of the enhanced repeating section content control into the document part in response to receiving a control directive at the enhanced repeating section content control; and a document generator component operative to generate the document from the document template with the enhanced repeating section content control. 2. The apparatus of claim 1 , the content control component operative to receive control directives to modify the formatted content, the control directives comprising instructions to modify a formatting option or a style option for the formatted content. | 0.716518 |
7,693,704 | 14 | 15 | 14. The computer-readable memory of claim 11 , wherein the processing computer-readable code includes: computer-readable code for removing from the paired paragraphs, noise words that convey little information about the content of the paragraphs; and computer-readable code for stemming the words of the pair of paragraphs to a length that preserves their essential character while eliminating characters that convey little information about the word's identity. | 14. The computer-readable memory of claim 11 , wherein the processing computer-readable code includes: computer-readable code for removing from the paired paragraphs, noise words that convey little information about the content of the paragraphs; and computer-readable code for stemming the words of the pair of paragraphs to a length that preserves their essential character while eliminating characters that convey little information about the word's identity. 15. The method of claim 14 , wherein the computer-readable code for stemming comprises computer-readable code for stemming the word by eliminating any letters after the N th letter from the beginning of the word, wherein N is a positive integer. | 0.898002 |
9,894,266 | 1 | 4 | 1. An apparatus for cognitive recording and sharing of live events comprising: a processing unit; a recording device to record a live event; one or more sensors, each configured for obtaining a biometric signal data from an individual; a transmitting device for communicating the one or more biometric signals for receipt at the processing unit, the processing unit configured to: obtain a biometric signature of the individual based on a received biometric signal data; receive, from devices of one or more other individuals in proximity to the individual, a signal representing one or more of: a recognized emotional state of, a biometric signature of, and a determined precognition input of the one or more other individuals in proximity to the individual; determine the individual's current emotional state based on the signature in combination with the signals received from the devices of said one or more other individuals in proximity to the individual; and record the live event by said recording device in response to said determined emotional state. | 1. An apparatus for cognitive recording and sharing of live events comprising: a processing unit; a recording device to record a live event; one or more sensors, each configured for obtaining a biometric signal data from an individual; a transmitting device for communicating the one or more biometric signals for receipt at the processing unit, the processing unit configured to: obtain a biometric signature of the individual based on a received biometric signal data; receive, from devices of one or more other individuals in proximity to the individual, a signal representing one or more of: a recognized emotional state of, a biometric signature of, and a determined precognition input of the one or more other individuals in proximity to the individual; determine the individual's current emotional state based on the signature in combination with the signals received from the devices of said one or more other individuals in proximity to the individual; and record the live event by said recording device in response to said determined emotional state. 4. The apparatus as claimed in claim 1 , where the processing unit is further configured to: correlate biometric signals of the individual with a cognitive state or emotional state of said individual. | 0.865772 |
8,186,516 | 11 | 12 | 11. A method of processing documents in a document processing system, the method comprising: receiving a document into a path of travel of a document processing system; providing a document processing component located approximately at an intersection portion of the path of travel the intersection portion separating a first portion from a second portion, wherein the document processing component is aligned with the first path of travel to process a feature on a first side of the document, and further wherein the first side of the document is closer to the document processing component and the second side of the component; moving the document along the path of travel past the intersection portion and into the second portion of the path of travel; repositioning the document processing component so that it is aligned with the second path of travel to process a feature on the second side of the document, wherein the second side of the document is closer to the document processing component than the first side of the document; and moving the document along a remainder of the path of travel, the remainder including the intersection portion; wherein the document processing component includes a scanning element and wherein the component repositioning element is arranged to pivot the scanning element. | 11. A method of processing documents in a document processing system, the method comprising: receiving a document into a path of travel of a document processing system; providing a document processing component located approximately at an intersection portion of the path of travel the intersection portion separating a first portion from a second portion, wherein the document processing component is aligned with the first path of travel to process a feature on a first side of the document, and further wherein the first side of the document is closer to the document processing component and the second side of the component; moving the document along the path of travel past the intersection portion and into the second portion of the path of travel; repositioning the document processing component so that it is aligned with the second path of travel to process a feature on the second side of the document, wherein the second side of the document is closer to the document processing component than the first side of the document; and moving the document along a remainder of the path of travel, the remainder including the intersection portion; wherein the document processing component includes a scanning element and wherein the component repositioning element is arranged to pivot the scanning element. 12. The method of claim 11 , wherein receiving a document into a path of travel of a document processing system includes receiving the document from a document feeder. | 0.505917 |
9,864,770 | 8 | 14 | 8. A method of creating a custom feed for users of a database system, the method comprising: receiving one or more criteria specifying which feed items are to be displayed to a first user, one of the criteria specifying that only feed items associated with records below followed records be displayed, the records being in a hierarchical model of records stored in a database, the records being business records related to one or more business activities of an organization and being differentiated from a user's profile; identifying, by the database system, records associated with feed items of one or more selected objects that match the one or more criteria, including determining a depth of a level of relationship between a first record and a second record, the feed items being stored in the database, the relationship between records being one of a parent-child relationship and a grandparent-grandchild relationship; and displaying, to the first user, in the custom feed the feed items associated with records below the followed records, the custom feed including one or more changes to the first record and being accessible to the first user as a follower of the second record, the first record being one of a child record and a grandchild record of the second record. | 8. A method of creating a custom feed for users of a database system, the method comprising: receiving one or more criteria specifying which feed items are to be displayed to a first user, one of the criteria specifying that only feed items associated with records below followed records be displayed, the records being in a hierarchical model of records stored in a database, the records being business records related to one or more business activities of an organization and being differentiated from a user's profile; identifying, by the database system, records associated with feed items of one or more selected objects that match the one or more criteria, including determining a depth of a level of relationship between a first record and a second record, the feed items being stored in the database, the relationship between records being one of a parent-child relationship and a grandparent-grandchild relationship; and displaying, to the first user, in the custom feed the feed items associated with records below the followed records, the custom feed including one or more changes to the first record and being accessible to the first user as a follower of the second record, the first record being one of a child record and a grandchild record of the second record. 14. The method of claim 8 , wherein the one or more criteria is received before a feed item is created. | 0.946687 |
10,043,516 | 12 | 22 | 12. A method for operating an automated assistant, the method comprising: at an electronic device with a speaker and a microphone, providing, via the speaker of the electronic device, an audio output; while providing the audio output via the speaker of the electronic device, receiving, via the microphone of the electronic device, a natural language speech input; in response to receiving the natural language speech input, determining a type of the audio output; in response to a determination that the audio output is of a first type, adjusting the audio output; in response to a determination that the audio output is of a second type different from the first type, ceasing to provide the audio output; deriving a representation of user intent based on the natural language speech input and the audio output; identifying a task based on the derived user intent; and performing the identified task. | 12. A method for operating an automated assistant, the method comprising: at an electronic device with a speaker and a microphone, providing, via the speaker of the electronic device, an audio output; while providing the audio output via the speaker of the electronic device, receiving, via the microphone of the electronic device, a natural language speech input; in response to receiving the natural language speech input, determining a type of the audio output; in response to a determination that the audio output is of a first type, adjusting the audio output; in response to a determination that the audio output is of a second type different from the first type, ceasing to provide the audio output; deriving a representation of user intent based on the natural language speech input and the audio output; identifying a task based on the derived user intent; and performing the identified task. 22. The method of claim 12 , wherein the audio output is a first audio output, the method further comprising: before providing the first audio output, providing a second audio output. | 0.826046 |
9,263,025 | 2 | 6 | 2. The method of claim 1 , further comprising: obtaining an adaptive code vector from an adaptive codebook based on an adaptive code associated with the coded speech signal. | 2. The method of claim 1 , further comprising: obtaining an adaptive code vector from an adaptive codebook based on an adaptive code associated with the coded speech signal. 6. The method of claim 2 , wherein the adaptive codebook is based on a past excitation. | 0.925641 |
10,162,690 | 3 | 4 | 3. The method of claim 1 , wherein the at least one computer comprises a single computer, and wherein the single computer is configured to operate the application and the platform. | 3. The method of claim 1 , wherein the at least one computer comprises a single computer, and wherein the single computer is configured to operate the application and the platform. 4. The method of claim 3 , wherein the single computer comprises one of a client device and a server. | 0.93923 |
8,504,561 | 8 | 11 | 8. A method comprising: for each ngram of a plurality of ngrams, determining a domain click value that represents a proportion of a plurality of clicks, which occur with respect to a plurality of search queries that include the ngram, that corresponds to a designated domain; comparing the domain click value for each ngram to a threshold value to determine a subset of the plurality of ngrams such that the domain click value of each ngram in the subset is greater than the threshold value; determining that each ngram in the subset is associated with an intent to access the designated domain based on the domain click value for each ngram in the subset being greater than the threshold value; and increasing a number of search results that correspond to the designated domain that are to be provided in response to receipt of a search query that includes a specified ngram from the subset to be greater than a specified maximum number, using at least one processor, based on the specified ngram being associated with the intent to access the designated domain. | 8. A method comprising: for each ngram of a plurality of ngrams, determining a domain click value that represents a proportion of a plurality of clicks, which occur with respect to a plurality of search queries that include the ngram, that corresponds to a designated domain; comparing the domain click value for each ngram to a threshold value to determine a subset of the plurality of ngrams such that the domain click value of each ngram in the subset is greater than the threshold value; determining that each ngram in the subset is associated with an intent to access the designated domain based on the domain click value for each ngram in the subset being greater than the threshold value; and increasing a number of search results that correspond to the designated domain that are to be provided in response to receipt of a search query that includes a specified ngram from the subset to be greater than a specified maximum number, using at least one processor, based on the specified ngram being associated with the intent to access the designated domain. 11. The method of claim 8 , wherein increasing the number of the search results that correspond to the designated domain that are to be provided in response to receipt of the search query comprises: increasing the number of the search results that correspond to the designated domain that are to be provided in response to receipt of the search query to be a specified number that is selected based on the domain click value for the specified ngram. | 0.77947 |
7,827,177 | 23 | 24 | 23. The computer-readable storage medium of claim 15 , wherein the one or more sequences of instructions which, when executed by the one or more processors, further causes the one or more processors to perform: receiving a statement that requests at least a portion of said compound document; and in response to receiving said statement, one or more computing devices expanding at least one link of a certain subdocument of said plurality of subdocuments by replacing the link with content of said certain subdocument. | 23. The computer-readable storage medium of claim 15 , wherein the one or more sequences of instructions which, when executed by the one or more processors, further causes the one or more processors to perform: receiving a statement that requests at least a portion of said compound document; and in response to receiving said statement, one or more computing devices expanding at least one link of a certain subdocument of said plurality of subdocuments by replacing the link with content of said certain subdocument. 24. The computer-readable storage medium of claim 23 , wherein said statement includes an expression that references the parent document and represents an expansion said parent document. | 0.891482 |
7,676,373 | 1 | 7 | 1. A setting apparatus comprising a caption setting unit for setting a timing of displaying text of speech in synchronization with reproduction of said speech, the text of said speech being predetermined, said caption setting unit comprising: a scenario data obtaining unit for obtaining scenario data representing content of said speech; a speech recognition unit for dividing textual data resulting from recognition of said speech being reproduced to generate a plurality of pieces of recognition data; a character string detection unit for detecting in said scenario data a character string that matches each of said plurality of pieces of recognition data; a character detection unit for detecting a character string that matches the recognition data from said scenario data by detecting a character contained in the recognition data for each recognition data with which said character string detection unit has detected no matching characters string; a display setting unit for setting the display timing of displaying each of the character strings contained in said scenario data to the timing at which speech recognized as a piece of recognition data that matches said character string is reproduce; and a reliability calculating unit for calculating a reliability factor that represents a likelihood that each of the plurality of pieces of recognition data matches one character string, wherein said display setting unit generates a setting that, if the calculated reliability factor associated with a first character string to be displayed in two successive character strings among the plurality of character strings in the scenario data is higher than the calculated reliability factor associated with a second character string to be displayed in the two successive character strings, causes a concatenated character string comprising said first character string with said second character string appended to said first character string to be displayed at a time point at which said first character string should be displayed. | 1. A setting apparatus comprising a caption setting unit for setting a timing of displaying text of speech in synchronization with reproduction of said speech, the text of said speech being predetermined, said caption setting unit comprising: a scenario data obtaining unit for obtaining scenario data representing content of said speech; a speech recognition unit for dividing textual data resulting from recognition of said speech being reproduced to generate a plurality of pieces of recognition data; a character string detection unit for detecting in said scenario data a character string that matches each of said plurality of pieces of recognition data; a character detection unit for detecting a character string that matches the recognition data from said scenario data by detecting a character contained in the recognition data for each recognition data with which said character string detection unit has detected no matching characters string; a display setting unit for setting the display timing of displaying each of the character strings contained in said scenario data to the timing at which speech recognized as a piece of recognition data that matches said character string is reproduce; and a reliability calculating unit for calculating a reliability factor that represents a likelihood that each of the plurality of pieces of recognition data matches one character string, wherein said display setting unit generates a setting that, if the calculated reliability factor associated with a first character string to be displayed in two successive character strings among the plurality of character strings in the scenario data is higher than the calculated reliability factor associated with a second character string to be displayed in the two successive character strings, causes a concatenated character string comprising said first character string with said second character string appended to said first character string to be displayed at a time point at which said first character string should be displayed. 7. The setting apparatus according to claim 1 , wherein said reliability calculating unit produces a higher reliability for the piece of recognition data for which a matching character string has been detected by said character string detection unit than the reliability of the piece of recognition data for which a matching character string has been detected by said character detection unit. | 0.806404 |
7,844,466 | 1 | 5 | 1. A method for processing language comprising: identifying known words within a received input; generating a set of candidate parts of speech from each continuous sequence of identified known words within said input; permuting at least a portion of the candidate parts of speech from each continuous sequence; producing a plurality of potentially valid syntactic structures from the permuted candidate parts of speech; for at least one of the potentially valid syntactic structures, generating a conceptual representation thereof based on a database of conceptual information comprising parts of speech and a dictionary; determining at least one anomaly criterion for each conceptual representation; and at least one of responding and processing a response to the input, based on one or more of the conceptual representations, in dependence on the determined at least one anomaly criterion, in a conceptually appropriate manner. | 1. A method for processing language comprising: identifying known words within a received input; generating a set of candidate parts of speech from each continuous sequence of identified known words within said input; permuting at least a portion of the candidate parts of speech from each continuous sequence; producing a plurality of potentially valid syntactic structures from the permuted candidate parts of speech; for at least one of the potentially valid syntactic structures, generating a conceptual representation thereof based on a database of conceptual information comprising parts of speech and a dictionary; determining at least one anomaly criterion for each conceptual representation; and at least one of responding and processing a response to the input, based on one or more of the conceptual representations, in dependence on the determined at least one anomaly criterion, in a conceptually appropriate manner. 5. The method of claim 1 , further comprising associating conceptual rules with each candidate word and each associated part of speech, and each syntactic sequence of words and each associated part of speech, wherein further the conceptual rules relate to conceptual relationships between at least two of the candidate words and syntactic sequences of words. | 0.672761 |
8,332,386 | 1 | 2 | 1. A method comprising: storing bonds that reflect relationships between searchable items; wherein the searchable items include a plurality of documents; wherein the bonds are not stored as part of the searchable items; wherein the bonds do not reflect storage location relationships between said searchable items; receiving a search request to perform a search for searchable items that are associated with a keyword, wherein the search request specifies the keyword; determining that a particular searchable item is to be the starting point of the search; responding to said search request by performing the search relative to the particular searchable item that is to be used as a starting point for said search, wherein performing the search includes at least one of: (a) ranking documents that match said search based, at least in part, on the minimum number of bonds that have to be traversed from the particular searchable item to arrive at each document, wherein the documents that match said search include a first document and a second document, wherein the minimum number of bonds that have to be traversed from said particular searchable to arrive at said first document is different than the minimum number of bonds that have to be traversed from said particular searchable item to arrive at said second document; (b) searching against documents that are within one bond of said particular searchable item; and if the number of documents, within one bond of said particular searchable item, that match the search is less than a target number, then expanding the search to documents that are within two bonds of said particular searchable item; and repeatedly expanding the search to documents that are one further bond away from the particular searchable item until at least the target number of documents that match the search have been identified; or (c) sequentially performing a series of searches relative to said particular searchable item until a predetermined maximum number of bonds from said particular searchable item has been reached, wherein the series of searches includes a first search and one or more subsequent searches, wherein each search of said one or more subsequent searches is performed against documents that are at a greater minimum number of bonds that have to be traversed from said particular searchable item than the documents that were searched in any search that preceded said search in said series; wherein the method is performed by one or more computing devices. | 1. A method comprising: storing bonds that reflect relationships between searchable items; wherein the searchable items include a plurality of documents; wherein the bonds are not stored as part of the searchable items; wherein the bonds do not reflect storage location relationships between said searchable items; receiving a search request to perform a search for searchable items that are associated with a keyword, wherein the search request specifies the keyword; determining that a particular searchable item is to be the starting point of the search; responding to said search request by performing the search relative to the particular searchable item that is to be used as a starting point for said search, wherein performing the search includes at least one of: (a) ranking documents that match said search based, at least in part, on the minimum number of bonds that have to be traversed from the particular searchable item to arrive at each document, wherein the documents that match said search include a first document and a second document, wherein the minimum number of bonds that have to be traversed from said particular searchable to arrive at said first document is different than the minimum number of bonds that have to be traversed from said particular searchable item to arrive at said second document; (b) searching against documents that are within one bond of said particular searchable item; and if the number of documents, within one bond of said particular searchable item, that match the search is less than a target number, then expanding the search to documents that are within two bonds of said particular searchable item; and repeatedly expanding the search to documents that are one further bond away from the particular searchable item until at least the target number of documents that match the search have been identified; or (c) sequentially performing a series of searches relative to said particular searchable item until a predetermined maximum number of bonds from said particular searchable item has been reached, wherein the series of searches includes a first search and one or more subsequent searches, wherein each search of said one or more subsequent searches is performed against documents that are at a greater minimum number of bonds that have to be traversed from said particular searchable item than the documents that were searched in any search that preceded said search in said series; wherein the method is performed by one or more computing devices. 2. The method of claim 1 wherein performing the search includes searching only those searchable items that are within a particular minimum number of bonds that have to be traversed from the particular searchable item. | 0.86 |
10,002,291 | 10 | 12 | 10. A system of identifying one or more fillable fields of an electronic form, the system comprising: an electronic device; a computer-readable storage medium comprising one or more programming instructions that are configured to instruct the electronic device to: receive an electronic form, wherein the electronic form comprises an image of a document, identify one or more fillable field candidates of the electronic form, determine, for each fillable field candidate, whether the fillable field candidate is a fillable field by: identifying one or more box candidates from the fillable field candidates, and for one or more of the box candidates: generating an out-border for the box candidate, wherein the out-border is a rectangular zone that surrounds an outer portion of the box candidate, generating an in-border for the box candidate, wherein the in-border is a rectangular zone that encompasses at least a portion of the box candidate, determining a histogram of pixels of the box candidate between the in-border and the out-border, determining a ratio of black pixels to white pixels of the histogram, and in response to the ratio exceeding a threshold value, determining that the box candidate is a fillable field, otherwise, determining that the box candidate is not a fillable field, and update metadata associated with the electronic form by applying a sequencing framework to only the fillable fields by: obtaining position information for each fillable field, wherein the position information indicates a position of the fillable field on the document as displayed via a display device, sorting the fillable fields based on the position information to form a sequence of fillable fields, determining a designator to each fillable field, wherein the designator indicates a position of a corresponding fillable field in the sequence, and storing the designator in a data store such that it is associated with the corresponding fillable field. | 10. A system of identifying one or more fillable fields of an electronic form, the system comprising: an electronic device; a computer-readable storage medium comprising one or more programming instructions that are configured to instruct the electronic device to: receive an electronic form, wherein the electronic form comprises an image of a document, identify one or more fillable field candidates of the electronic form, determine, for each fillable field candidate, whether the fillable field candidate is a fillable field by: identifying one or more box candidates from the fillable field candidates, and for one or more of the box candidates: generating an out-border for the box candidate, wherein the out-border is a rectangular zone that surrounds an outer portion of the box candidate, generating an in-border for the box candidate, wherein the in-border is a rectangular zone that encompasses at least a portion of the box candidate, determining a histogram of pixels of the box candidate between the in-border and the out-border, determining a ratio of black pixels to white pixels of the histogram, and in response to the ratio exceeding a threshold value, determining that the box candidate is a fillable field, otherwise, determining that the box candidate is not a fillable field, and update metadata associated with the electronic form by applying a sequencing framework to only the fillable fields by: obtaining position information for each fillable field, wherein the position information indicates a position of the fillable field on the document as displayed via a display device, sorting the fillable fields based on the position information to form a sequence of fillable fields, determining a designator to each fillable field, wherein the designator indicates a position of a corresponding fillable field in the sequence, and storing the designator in a data store such that it is associated with the corresponding fillable field. 12. The system of claim 10 , wherein the computer-readable storage medium further comprises one or more programming instructions that are configured to instruct the electronic device to: in response to determining that the box candidate is a fillable field, determine whether the box candidate is a checkbox; and in response to determining that the box candidate is a checkbox, add the box candidate to a checkbox list, otherwise, adding the box candidate to a box list. | 0.6875 |
7,979,245 | 2 | 5 | 2. The method of claim 1 , wherein said automatically generating the modified model comprises for each one of the different types of data nodes in the first data tree: identifying a corresponding configuration node, if any, of the plurality of configuration nodes; and performing a data transform operation on a data node associated with the corresponding configuration node, the data transform operation being based on the definition associated with the corresponding configuration node. | 2. The method of claim 1 , wherein said automatically generating the modified model comprises for each one of the different types of data nodes in the first data tree: identifying a corresponding configuration node, if any, of the plurality of configuration nodes; and performing a data transform operation on a data node associated with the corresponding configuration node, the data transform operation being based on the definition associated with the corresponding configuration node. 5. The method of claim 2 , wherein the data transform operation comprises creating an association between two existing topology objects. | 0.979306 |
9,268,748 | 11 | 12 | 11. A computer program product embodied on a non-transitory computer readable medium, comprising: code for storing a plurality of original documents including a plurality of original values, including a first document including first values and a second document including second values; code for processing at least a part of the first document and at least a part of the second document, resulting in at least one object including at least one reference to at least one of the plurality of original values of at least one of the plurality of original documents; code for receiving a user selection of one or more computer-readable semantic tags; code for receiving a user selection of one or more of the original values; code for mapping the one or more of the computer-readable semantic tags to the one or more of the original values; code for outputting a presentation that is based on at least a portion of the at least one object, the presentation capable of including at least a portion of the original values including the at least one original value, where the computer program product is configured such that, based on the at least one reference of the at least one object to the at least one original value of the at least one original document, a change to the at least one original value of the at least one original document results in a corresponding change in an instance of the presentation; code for outputting a report that is based on at least a portion of the at least one object, the report capable of including at least a portion of the original values including the at least one original value, where the computer program product is configured such that, based on the at least one reference of the at least one object to the at least one original value of the at least one original document, a change to the at least one original value of the at least one original document results in a corresponding change in an instance of the report; and code for outputting at least one computer-readable Extensible Markup Language (XML)-compliant data document that is based on at least a portion of the at least one object and at least a portion of the mapping, the at least one computer-readable XML-compliant data document capable of including a plurality of line items with at least a portion of the original values including the at least one original value and at least some of the computer-readable semantic tags, where the computer program product is configured such that, based on the at least one reference of the at least one object to the at least one original value of the at least one original document, a change to the at least one original value of the at least one original document results in a corresponding change in an instance of the at least one computer-readable XML-compliant data document:, said computer program product configured such that the at least some of the computer-readable semantic tags are each computer-readably coupled to the at least portion of the original values of at least one computer-readable XML-compliant data document. | 11. A computer program product embodied on a non-transitory computer readable medium, comprising: code for storing a plurality of original documents including a plurality of original values, including a first document including first values and a second document including second values; code for processing at least a part of the first document and at least a part of the second document, resulting in at least one object including at least one reference to at least one of the plurality of original values of at least one of the plurality of original documents; code for receiving a user selection of one or more computer-readable semantic tags; code for receiving a user selection of one or more of the original values; code for mapping the one or more of the computer-readable semantic tags to the one or more of the original values; code for outputting a presentation that is based on at least a portion of the at least one object, the presentation capable of including at least a portion of the original values including the at least one original value, where the computer program product is configured such that, based on the at least one reference of the at least one object to the at least one original value of the at least one original document, a change to the at least one original value of the at least one original document results in a corresponding change in an instance of the presentation; code for outputting a report that is based on at least a portion of the at least one object, the report capable of including at least a portion of the original values including the at least one original value, where the computer program product is configured such that, based on the at least one reference of the at least one object to the at least one original value of the at least one original document, a change to the at least one original value of the at least one original document results in a corresponding change in an instance of the report; and code for outputting at least one computer-readable Extensible Markup Language (XML)-compliant data document that is based on at least a portion of the at least one object and at least a portion of the mapping, the at least one computer-readable XML-compliant data document capable of including a plurality of line items with at least a portion of the original values including the at least one original value and at least some of the computer-readable semantic tags, where the computer program product is configured such that, based on the at least one reference of the at least one object to the at least one original value of the at least one original document, a change to the at least one original value of the at least one original document results in a corresponding change in an instance of the at least one computer-readable XML-compliant data document:, said computer program product configured such that the at least some of the computer-readable semantic tags are each computer-readably coupled to the at least portion of the original values of at least one computer-readable XML-compliant data document. 12. The computer program product of claim 11 , wherein the computer program product is configured for utilizing a plurality of computer-readable rules for processing the at least one computer-readable XML-compliant data document, the computer-readable rules including at least one of: a computer-readable datatype rule for validation of a type of original values, a computer-readable calculation rule for validation of a calculation involving original values, or a computer-readable unit rule for validation of a unit of original values. | 0.945215 |
5,446,883 | 10 | 12 | 10. A computer system for retrieving solution documents responsive to inquires from among a system of distributed computers, the system comprising: a communications network coupled between the distributed computers; a plurality of computers, each computer comprising: a processor for receiving an inquiry; an incident table coupled to the processor, the incident table storing the inquiry; a document data base coupled to the processor and storing a plurality of solution documents, each solution document providing a solution to at least one inquiry in incident table; an export index for storing at least one inquiry for communication to a second computer; an import index for storing at least one inquiry received from another computer; a search device coupled to the processor, and directed by the user for searching the document data base to retrieve a solution document providing a solution to an inquiry; an escalation device, coupled to the search device, and placing an inquiry, for which no solution document is retrieved from the document data base by the search device, in the export index; a communications device coupling the computer to the communications network, and coupled to the import and export indices, the communications device for transmitting at least one inquiry in the export index to another computer, and for receiving at least one inquiry from another computer and storing a received inquiry in the import index, wherein the search device searches the document data base for solutions to inquiries in the import index. | 10. A computer system for retrieving solution documents responsive to inquires from among a system of distributed computers, the system comprising: a communications network coupled between the distributed computers; a plurality of computers, each computer comprising: a processor for receiving an inquiry; an incident table coupled to the processor, the incident table storing the inquiry; a document data base coupled to the processor and storing a plurality of solution documents, each solution document providing a solution to at least one inquiry in incident table; an export index for storing at least one inquiry for communication to a second computer; an import index for storing at least one inquiry received from another computer; a search device coupled to the processor, and directed by the user for searching the document data base to retrieve a solution document providing a solution to an inquiry; an escalation device, coupled to the search device, and placing an inquiry, for which no solution document is retrieved from the document data base by the search device, in the export index; a communications device coupling the computer to the communications network, and coupled to the import and export indices, the communications device for transmitting at least one inquiry in the export index to another computer, and for receiving at least one inquiry from another computer and storing a received inquiry in the import index, wherein the search device searches the document data base for solutions to inquiries in the import index. 12. The system of claim 10, each computer further comprising: a solution response device coupled to the communications device and the search device, to provide to the communications device a solution document retrieved by the search device in response to an inquiry in the import index, the inquiry received from a first computer, the communications device transmitting the solution document to the first computer. | 0.855749 |
9,514,222 | 1 | 4 | 1. A method for configuring a computer system to provide a set of selectable topic names on an interface for providing access to stored electronic resources by topic name, at least some of which are assigned to named storage sets in a folder structure, the method comprising: (1) determining a topic framework for providing the set of topic names for providing access to the electronic resources by topic name on the interface, the topic framework storing topic names, associations between each of the stored electronic resources and one or more topic names, and associations between topic names by: (i) determining the topic names for the topic framework from the names assigned to storage sets and the attributes of individual electronic resources by: generating one or more topic names from the names assigned to storage sets; and generating one or more topic names from attributes of individual electronic resources; and (ii) forming the associations between each of the stored electronic resources and one or more topic names by: associating electronic resources assigned to a storage set with one or more topic names which were generated from the name of the storage set; and associating electronic resources having an attribute or attributes with one or more topic names which were generated from the respective attribute or attributes of the electronic resources; (iii) associating one or more topic names with one or more other topic names by: generating associations between topic names from the relationships within the folder structure between the respective storage sets from which the topic names were generated; (2) storing the topic framework to provide the set of topic names for providing access to the electronic resources by topic name on the interface, wherein the topic framework stores the set of topic names, associations between each of the stored electronic resources and one or more topic names, and associations between topic names; and (3) using the topic framework to configure the computer system to present the interface through which: (i) a list of topic names is presented through which one or more topic names of the topic framework are selectable; (ii) when a topic name associated by the topic framework with one or more other topic names is selected, at least a list of the one or more other topic names is presented through which the one or more other topic names are selectable; and (iii) a group of stored electronic resources associated with a selected one or more topic names is presented so that one or more of the group of electronic resources can be selected for access. | 1. A method for configuring a computer system to provide a set of selectable topic names on an interface for providing access to stored electronic resources by topic name, at least some of which are assigned to named storage sets in a folder structure, the method comprising: (1) determining a topic framework for providing the set of topic names for providing access to the electronic resources by topic name on the interface, the topic framework storing topic names, associations between each of the stored electronic resources and one or more topic names, and associations between topic names by: (i) determining the topic names for the topic framework from the names assigned to storage sets and the attributes of individual electronic resources by: generating one or more topic names from the names assigned to storage sets; and generating one or more topic names from attributes of individual electronic resources; and (ii) forming the associations between each of the stored electronic resources and one or more topic names by: associating electronic resources assigned to a storage set with one or more topic names which were generated from the name of the storage set; and associating electronic resources having an attribute or attributes with one or more topic names which were generated from the respective attribute or attributes of the electronic resources; (iii) associating one or more topic names with one or more other topic names by: generating associations between topic names from the relationships within the folder structure between the respective storage sets from which the topic names were generated; (2) storing the topic framework to provide the set of topic names for providing access to the electronic resources by topic name on the interface, wherein the topic framework stores the set of topic names, associations between each of the stored electronic resources and one or more topic names, and associations between topic names; and (3) using the topic framework to configure the computer system to present the interface through which: (i) a list of topic names is presented through which one or more topic names of the topic framework are selectable; (ii) when a topic name associated by the topic framework with one or more other topic names is selected, at least a list of the one or more other topic names is presented through which the one or more other topic names are selectable; and (iii) a group of stored electronic resources associated with a selected one or more topic names is presented so that one or more of the group of electronic resources can be selected for access. 4. A method according to claim 1 , wherein an individual electronic resource has two or more words in its name and wherein generating one or more topic names from the attributes of the individual electronic resources comprises: selecting one or more words as a topic name based on weighting the likelihood of using a word which occurs earlier in the name more than the likelihood of using a word which occurs later in the name. | 0.773114 |
7,697,668 | 13 | 14 | 13. The computer-readable medium of claim 11 , wherein the punctuation marks are at least one of question marks and exclamation points. | 13. The computer-readable medium of claim 11 , wherein the punctuation marks are at least one of question marks and exclamation points. 14. The computer-readable medium of claim 13 , wherein if the punctuation marks are question marks, then the voice of the animated entity is modified to make it sound like a question is being asked. | 0.88101 |
9,153,233 | 4 | 5 | 4. The data system of claim 1 , where the media file is stored in the MP3 format and the first phonetic information and the second phonetic information is stored in a tagging part of the media file. | 4. The data system of claim 1 , where the media file is stored in the MP3 format and the first phonetic information and the second phonetic information is stored in a tagging part of the media file. 5. The data system of claim 4 , where the tagging part of the media file comprises an ID3 tag. | 0.977469 |
4,837,689 | 1 | 2 | 1. A method for introducing information into an inquiry-and-answer system comprising the steps of: (a) presenting an interrogative to an operator to seek a response; (b) inputting a desired sentence to be analyzed as a response to the presented interrogative; (c) analyzing the desired sentence to determine different components of the desired sentence; (d) extracting necessary components from the desired sentence; (e) developing inferences from the necessary components; (f) using said inferences of step (e) to obtain a case nominal corresponding to a pronoun used in the interrogative; and (g) supplying said case nominal as an answer to said interrogative of step (a). | 1. A method for introducing information into an inquiry-and-answer system comprising the steps of: (a) presenting an interrogative to an operator to seek a response; (b) inputting a desired sentence to be analyzed as a response to the presented interrogative; (c) analyzing the desired sentence to determine different components of the desired sentence; (d) extracting necessary components from the desired sentence; (e) developing inferences from the necessary components; (f) using said inferences of step (e) to obtain a case nominal corresponding to a pronoun used in the interrogative; and (g) supplying said case nominal as an answer to said interrogative of step (a). 2. The method as claimed in claim 1, wherein said step (d) further comprises the steps of: (h) using said inferences of step (e) to determine if the desired sentence contains a case particle; (i) extracting the case particle from the desired sentence when the desired sentence contains the case particle; (j) supplying said case particle and a case nominal related to said case particle as necessary components to an answer to said interrogative step (a); (k) using said inferences of step (e) to determine if the desired sentence contains a suffix; (l) extracting the suffix from the desired sentence when the desired sentence contains the suffix; (m) supplying said suffix and a case nominal related to said case particle as necessary components to an answer to said interrogative of step (a); (n) using said inferences of step (e) to determine the semantics of the desired sentence; and (o) supplying the semantics and a case nominal related to said case particle as necessary components to an answer to said interrogative of step (a). | 0.500481 |
9,633,674 | 1 | 11 | 1. A method for operating an intelligent automated assistant, comprising: at an electronic device with one or more processors and memory storing one or more programs for execution by the one or more processors: receiving, from a user, a speech input containing a request; performing at least one action in furtherance of satisfying the request; detecting a user interaction; determining whether the user interaction is indicative of a problem in the performing of the at least one action, wherein the user interaction includes a shaking of the electronic device; upon determining that the user interaction is indicative of a problem, storing information relating to the request in a repository for error analysis. | 1. A method for operating an intelligent automated assistant, comprising: at an electronic device with one or more processors and memory storing one or more programs for execution by the one or more processors: receiving, from a user, a speech input containing a request; performing at least one action in furtherance of satisfying the request; detecting a user interaction; determining whether the user interaction is indicative of a problem in the performing of the at least one action, wherein the user interaction includes a shaking of the electronic device; upon determining that the user interaction is indicative of a problem, storing information relating to the request in a repository for error analysis. 11. The method of claim 1 , further comprising: upon determining that the user interaction indicates an absence of a problem, performing at least one of: avoiding to store the information relating to the request in the repository, and removing the information relating to the request from the repository. | 0.670282 |
9,792,530 | 7 | 15 | 7. A system, comprising: a data store; one or more computing devices executing within a network and performing operations to: access, from a data source of images external to the network, image data related to a specified category; identify, based at least in part on the image data, subcategories of the specified category; generate a knowledge base (KB) that includes individual ones of the subcategories; store the KB in the data store; obtain, from at least one of the data source of images external to the network or an alternative image source, digital images for the subcategories, the digital images identified based, at least in part, on the KB; train an image classifier using the digital images and the KB; receive an image; and classify the image into a one of the subcategories using the image classifier. | 7. A system, comprising: a data store; one or more computing devices executing within a network and performing operations to: access, from a data source of images external to the network, image data related to a specified category; identify, based at least in part on the image data, subcategories of the specified category; generate a knowledge base (KB) that includes individual ones of the subcategories; store the KB in the data store; obtain, from at least one of the data source of images external to the network or an alternative image source, digital images for the subcategories, the digital images identified based, at least in part, on the KB; train an image classifier using the digital images and the KB; receive an image; and classify the image into a one of the subcategories using the image classifier. 15. The system of claim 7 , wherein the image classifier is a neural network and wherein train an image classifier further comprises identify an improperly identified image and adjust a weight of a node in the neural network by back-propagation training. | 0.649171 |
9,195,706 | 15 | 20 | 15. A system including memory and one or more processors operable to execute instructions, stored in the memory, comprising instructions to: obtain metadata for a document, wherein the metadata includes a sequence of terms; assign a tag to each term in the sequence of terms based at least in part on grammatical relationships between the terms, resulting in a corresponding sequence of tags; determine that the sequence of terms is grammatically correct based at least in part on tags within the corresponding sequence of tags; in response to the determination, store the sequence of terms as a query suggestion; in response to the determination, further calculate a suggestion score for the query suggestion based on one or more data points, wherein the suggestion score is stored with the query suggestion; receive a partial search query; select one or more query suggestions in the database for the partial search query based at least in part on the suggestion scores; and send the selected query suggestions in response to receiving the partial search query; wherein the instructions to obtain metadata for the document comprise instructions to segment the metadata within the document into a plurality of sequences of terms, wherein at least two of the plurality of sequences include at least some identical terms in different orders; and the instructions to assign a tag comprise instructions to assign a tag to each term in a given sequence of terms in the plurality of sequences of terms. | 15. A system including memory and one or more processors operable to execute instructions, stored in the memory, comprising instructions to: obtain metadata for a document, wherein the metadata includes a sequence of terms; assign a tag to each term in the sequence of terms based at least in part on grammatical relationships between the terms, resulting in a corresponding sequence of tags; determine that the sequence of terms is grammatically correct based at least in part on tags within the corresponding sequence of tags; in response to the determination, store the sequence of terms as a query suggestion; in response to the determination, further calculate a suggestion score for the query suggestion based on one or more data points, wherein the suggestion score is stored with the query suggestion; receive a partial search query; select one or more query suggestions in the database for the partial search query based at least in part on the suggestion scores; and send the selected query suggestions in response to receiving the partial search query; wherein the instructions to obtain metadata for the document comprise instructions to segment the metadata within the document into a plurality of sequences of terms, wherein at least two of the plurality of sequences include at least some identical terms in different orders; and the instructions to assign a tag comprise instructions to assign a tag to each term in a given sequence of terms in the plurality of sequences of terms. 20. The system of claim 15 , wherein the instructions to determine the sequence of terms is grammatically correct is based on a number of tags that is less than a total number of terms in the sequence of terms. | 0.76082 |
9,875,232 | 15 | 18 | 15. A server comprising: a communication interface for communication with an electronic device via a communication network; a processor operationally connected with the communication interface, the processor configured to: receive, from the electronic device via the communication network, an indication of a first word; receive a first service response comprising a first definition set from a first source, the first definition set being based on the first word; receive a second service response comprising a second definition set from a second source, the second definition set being based on the first word; parse the first definition set to obtain individual first set words; parse the second definition set to obtain individual second set words; organize the individual first set words into at least one definition cluster; responsive to at least one of the individual second set words matching any one of the individual first set words, merge at least a portion of the individual second set words with the first cluster, the first cluster comprising a merged definition set being distinct from the first and second definition sets; responsive to at least one of the individual second set words not matching any of the individual first set words, merge at least a portion of the individual second set words with a second cluster, the second cluster being distinct from the first cluster; cause, over the communication network, the electronic device to display on a screen of the electronic device to the user both the first cluster and the second cluster as definitions of the first word, the first cluster and the second cluster being visually distinct when displayed on the screen. | 15. A server comprising: a communication interface for communication with an electronic device via a communication network; a processor operationally connected with the communication interface, the processor configured to: receive, from the electronic device via the communication network, an indication of a first word; receive a first service response comprising a first definition set from a first source, the first definition set being based on the first word; receive a second service response comprising a second definition set from a second source, the second definition set being based on the first word; parse the first definition set to obtain individual first set words; parse the second definition set to obtain individual second set words; organize the individual first set words into at least one definition cluster; responsive to at least one of the individual second set words matching any one of the individual first set words, merge at least a portion of the individual second set words with the first cluster, the first cluster comprising a merged definition set being distinct from the first and second definition sets; responsive to at least one of the individual second set words not matching any of the individual first set words, merge at least a portion of the individual second set words with a second cluster, the second cluster being distinct from the first cluster; cause, over the communication network, the electronic device to display on a screen of the electronic device to the user both the first cluster and the second cluster as definitions of the first word, the first cluster and the second cluster being visually distinct when displayed on the screen. 18. The server of claim 15 , wherein the second definition set includes a definition portion and at least one auxiliary portion. | 0.89694 |
7,949,516 | 11 | 12 | 11. The electronic device of claim 8 wherein the operations further comprise: detecting a selection of the preferred proposed spelling correction; undergoing a predetermined quantity of repetitions of the determining, generating, outputting, providing, and detecting with respect to separate instances of the same text input and the same preferred proposed spelling correction; and detecting another inputting of the same text input and automatically replacing it with the same preferred proposed spelling correction. | 11. The electronic device of claim 8 wherein the operations further comprise: detecting a selection of the preferred proposed spelling correction; undergoing a predetermined quantity of repetitions of the determining, generating, outputting, providing, and detecting with respect to separate instances of the same text input and the same preferred proposed spelling correction; and detecting another inputting of the same text input and automatically replacing it with the same preferred proposed spelling correction. 12. The electronic device of claim 11 wherein the operations further comprise detecting a delimiter input with respect to the another inputting of the same text input and, responsive thereto, initiating the automatically replacing. | 0.934113 |
9,529,917 | 1 | 8 | 1. A method for generating an information feed based on contextual data, the method comprising: retrieving, by a database system, user contextual data associated with a user, the user contextual data identifying one or more entities associated with the user; retrieving, from one or more data object sources by the database system, one or more data objects based on the retrieval of the user contextual data, wherein the only data objects retrieved are related to the retrieved user contextual data; retrieving, by the database system, data object contextual data based on the retrieval of the one or more data objects, the data object contextual data being associated with the one or more data objects; generating, by the database system, one or more feed items based, at least in part, on the one or more retrieved data objects and the retrieved data object contextual data; generating, by the database system, a weight associated with each of the one or more feed items, the weight being generated based on the retrieved user contextual data and the retrieved data object contextual data; and generating, by the database system, an information feed including at least some of the one or more feed items, the information feed arranging the at least some of the one or more feed items based on the generated weight associated with each of the at least some of the one or more feed items. | 1. A method for generating an information feed based on contextual data, the method comprising: retrieving, by a database system, user contextual data associated with a user, the user contextual data identifying one or more entities associated with the user; retrieving, from one or more data object sources by the database system, one or more data objects based on the retrieval of the user contextual data, wherein the only data objects retrieved are related to the retrieved user contextual data; retrieving, by the database system, data object contextual data based on the retrieval of the one or more data objects, the data object contextual data being associated with the one or more data objects; generating, by the database system, one or more feed items based, at least in part, on the one or more retrieved data objects and the retrieved data object contextual data; generating, by the database system, a weight associated with each of the one or more feed items, the weight being generated based on the retrieved user contextual data and the retrieved data object contextual data; and generating, by the database system, an information feed including at least some of the one or more feed items, the information feed arranging the at least some of the one or more feed items based on the generated weight associated with each of the at least some of the one or more feed items. 8. The method of claim 1 , wherein the one or more entities comprise products and services that the user owns or subscribes to. | 0.849169 |
8,952,961 | 1 | 19 | 1. A system for servicing photon map queries, comprising: a memory storing an acceleration structure including nodes that respectively define surfaces that each spatially bound a respective selection of a plurality of photons spatially located in a 3-D scene, the selections of varying relative granularity, and the nodes arranged in a graph with edges connecting pairs of nodes; a processor configured for executing an interface for accepting photon queries from one or more code modules or shaders, each of the photon queries defining a respective locus, a spatially located volume in the 3-D scene that includes the respective locus, and a maximum number (k) of photons to be returned responsive to the photon query, wherein k>=1; and an acceleration structure traversal resource configured for processing the accepted photon queries by traversing the acceleration structure with collections of photon queries from the accepted photon queries, wherein each collection is associated with one or more nodes of the acceleration structure, the traversal performed, collection-by-collection, for the photon queries by testing each of a plurality of child nodes of the node(s) associated with a selected collection of photon queries for overlap with each of the spatially located volumes of the photon queries of that collection, and updating a status of collections maintained in a memory by referencing each photon query in a respective collection associated with each child node found to overlap with the spatially located volume of that photon query, wherein the acceleration structure traversal resource is operable to identify, as an output of traversal, for each of the photon queries, identifiers for up to k photons that are closest to the locus in the 3-D scene defined by that photon query and within the spatially located volume defined by that photon query. | 1. A system for servicing photon map queries, comprising: a memory storing an acceleration structure including nodes that respectively define surfaces that each spatially bound a respective selection of a plurality of photons spatially located in a 3-D scene, the selections of varying relative granularity, and the nodes arranged in a graph with edges connecting pairs of nodes; a processor configured for executing an interface for accepting photon queries from one or more code modules or shaders, each of the photon queries defining a respective locus, a spatially located volume in the 3-D scene that includes the respective locus, and a maximum number (k) of photons to be returned responsive to the photon query, wherein k>=1; and an acceleration structure traversal resource configured for processing the accepted photon queries by traversing the acceleration structure with collections of photon queries from the accepted photon queries, wherein each collection is associated with one or more nodes of the acceleration structure, the traversal performed, collection-by-collection, for the photon queries by testing each of a plurality of child nodes of the node(s) associated with a selected collection of photon queries for overlap with each of the spatially located volumes of the photon queries of that collection, and updating a status of collections maintained in a memory by referencing each photon query in a respective collection associated with each child node found to overlap with the spatially located volume of that photon query, wherein the acceleration structure traversal resource is operable to identify, as an output of traversal, for each of the photon queries, identifiers for up to k photons that are closest to the locus in the 3-D scene defined by that photon query and within the spatially located volume defined by that photon query. 19. The system of claim 1 , wherein the acceleration structure traversal resource is configured to allocate resources for traversing particular collections of photon queries in dependence on aging data associated with one or more queries in those collections. | 0.78595 |
9,613,299 | 14 | 15 | 14. A system, comprising: a computing device; and a computer-readable medium coupled to the computing device and having instructions stored thereon which, when executed by the computing device, cause the computing device to perform operations comprising: analyzing verification performed by a user on a recognized text obtained by character recognition of a document image, wherein the verification comprises changing an incorrect character identified by the user for a correct character identified by the user; identifying analogous changes of a first incorrect character for a first correct character; and initiating a training of a recognition pattern based on the identified analogous changes, wherein the recognition pattern is a pattern used in character recognition of the document image to generate the recognized text. | 14. A system, comprising: a computing device; and a computer-readable medium coupled to the computing device and having instructions stored thereon which, when executed by the computing device, cause the computing device to perform operations comprising: analyzing verification performed by a user on a recognized text obtained by character recognition of a document image, wherein the verification comprises changing an incorrect character identified by the user for a correct character identified by the user; identifying analogous changes of a first incorrect character for a first correct character; and initiating a training of a recognition pattern based on the identified analogous changes, wherein the recognition pattern is a pattern used in character recognition of the document image to generate the recognized text. 15. The system of claim 14 wherein: the identifying analogous changes comprises tracking a number of analogous changes of the first incorrect character for the first correct character during the verification, and determining that the number of analogous changes of the first incorrect character for the first correct character has reached a predetermined threshold, and the initiating of the training of the recognition pattern is based the determining that the number of analogous changes has reached the predetermined threshold. | 0.509259 |
7,738,703 | 18 | 20 | 18. A computer readable medium storing a program causing a computer to execute a process for image processing, the process comprising: storing a first document file; storing a second document file obtained by revising the first document file; extracting a revised area of the second document file based on the first document file corresponding to the second document file and the second document file; and generating a file specifying the revised area, wherein an appearance of the revision area is changed on the generated file. | 18. A computer readable medium storing a program causing a computer to execute a process for image processing, the process comprising: storing a first document file; storing a second document file obtained by revising the first document file; extracting a revised area of the second document file based on the first document file corresponding to the second document file and the second document file; and generating a file specifying the revised area, wherein an appearance of the revision area is changed on the generated file. 20. The computer readable medium storing a program according to claim 18 , the process further comprising: designating the first document file corresponding to the second document file. | 0.850081 |
9,431,005 | 15 | 18 | 15. A non-transitory computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising: projecting, via the computing device, an expected demand for speech recognition resources; identifying, via the computing device and based on the expected demand for speech recognition, a main speech recognizer and a supplemental speech recognizer; assigning the main speech recognizer to recognize a plurality of speech from a plurality of speakers; beginning to process the plurality of speech using the main speech recognizer, to yield main results; and upon determining that first speech recognition results of a first user in the plurality of speakers have a lower accuracy than alternative speech recognition results of a second user: assigning the supplemental speech recognizer to recognize speech from the first user, wherein the assigning of the supplemental speech recognizer is a reallocation of the supplemental speech recognizer away from the second user; continuing to process the speech from the first user using the supplemental speech recognizer and the main speech recognizer, to yield supplemental results; and combining additional speech recognition results, produced by the main speech recognizer, and the supplemental results. | 15. A non-transitory computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising: projecting, via the computing device, an expected demand for speech recognition resources; identifying, via the computing device and based on the expected demand for speech recognition, a main speech recognizer and a supplemental speech recognizer; assigning the main speech recognizer to recognize a plurality of speech from a plurality of speakers; beginning to process the plurality of speech using the main speech recognizer, to yield main results; and upon determining that first speech recognition results of a first user in the plurality of speakers have a lower accuracy than alternative speech recognition results of a second user: assigning the supplemental speech recognizer to recognize speech from the first user, wherein the assigning of the supplemental speech recognizer is a reallocation of the supplemental speech recognizer away from the second user; continuing to process the speech from the first user using the supplemental speech recognizer and the main speech recognizer, to yield supplemental results; and combining additional speech recognition results, produced by the main speech recognizer, and the supplemental results. 18. The non-transitory computer-readable storage device of claim 15 , wherein the supplemental speech recognizer is assigned to idle based on decreased demand for speech recognition. | 0.68942 |
9,390,078 | 8 | 9 | 8. The method of claim 1 , wherein generating the statistical classifier includes using one or more distance features. | 8. The method of claim 1 , wherein generating the statistical classifier includes using one or more distance features. 9. The method of claim 8 , wherein the distance features include a distance between the target insertion point and a beginning of the sentence and a second distance between the target insertion point and an end of the sentence. | 0.943784 |
9,418,136 | 1 | 7 | 1. A method comprising steps of: (a) retrieving in a media store server a first descriptive text for multimedia content in a catalog of a vendor's server; (b) converting the first descriptive text for the multimedia content in the catalog of the vendor's server into a second descriptive text for the multimedia content, the second descriptive text conforming to a standardized format required by a catalog of the media store server; (c) comparing the second descriptive text for the multimedia content with descriptive texts for multimedia contents in the catalog of the media store server; (d) upon the second descriptive text for the multimedia content not matching with any of the descriptive texts for multimedia contents in the catalog of the media store server, converting the second descriptive text to a third descriptive text for the multimedia content of a decreased number of characters by removing a portion of characters of the second descriptive text; (e) comparing the third descriptive text for the multimedia content with the descriptive texts of multimedia contents in the catalog of the media store server, wherein the comparing of the third descriptive text is less exacting than the comparing of the second descriptive text; (f) storing the first descriptive text for the multimedia content of the catalog of the vendor's server in the catalog of the media store server, upon the third descriptive text for the multimedia content matching at least one of the descriptive texts for multimedia contents in the catalog of the media store server; and (g) providing a function for searching the catalog of the media store server, to customers' digital information devices, based at least in part on the descriptive texts for multimedia contents in the catalog of the media store server including the stored first descriptive text for the multimedia content of the catalog of the vendor's server. | 1. A method comprising steps of: (a) retrieving in a media store server a first descriptive text for multimedia content in a catalog of a vendor's server; (b) converting the first descriptive text for the multimedia content in the catalog of the vendor's server into a second descriptive text for the multimedia content, the second descriptive text conforming to a standardized format required by a catalog of the media store server; (c) comparing the second descriptive text for the multimedia content with descriptive texts for multimedia contents in the catalog of the media store server; (d) upon the second descriptive text for the multimedia content not matching with any of the descriptive texts for multimedia contents in the catalog of the media store server, converting the second descriptive text to a third descriptive text for the multimedia content of a decreased number of characters by removing a portion of characters of the second descriptive text; (e) comparing the third descriptive text for the multimedia content with the descriptive texts of multimedia contents in the catalog of the media store server, wherein the comparing of the third descriptive text is less exacting than the comparing of the second descriptive text; (f) storing the first descriptive text for the multimedia content of the catalog of the vendor's server in the catalog of the media store server, upon the third descriptive text for the multimedia content matching at least one of the descriptive texts for multimedia contents in the catalog of the media store server; and (g) providing a function for searching the catalog of the media store server, to customers' digital information devices, based at least in part on the descriptive texts for multimedia contents in the catalog of the media store server including the stored first descriptive text for the multimedia content of the catalog of the vendor's server. 7. The method of claim 1 , wherein the step (f) includes replacing the descriptive text for the multimedia content in the catalog of the vendor's server with the descriptive text for multimedia content of the vendor's server corresponding to the matched first descriptive text. | 0.917165 |
8,489,388 | 11 | 14 | 11. A machine-implemented method of processing data comprising: receiving text; processing the text using both a pattern engine and a statistical engine to detect data of a plurality of predetermined types, the statistical engine converting the text into a first sequence of tokens, each token comprising a lexeme and a token type relating to the function of the lexeme within the text and having at least a predetermined probability that the corresponding data is of at least one of the predetermined types, the pattern engine converting the text into a second sequence of tokens, each token corresponding to data that matches a predetermined pattern indicative of the at least one of the predetermined types, the pattern engine further parsing a combination of the first and second sequence of tokens; and comparing the first and second sequence of tokens, wherein when corresponding tokens from the first and second sequence of tokens for a portion of the text are the same, parsing only one of the corresponding tokens, when the tokens are not name tokens and the corresponding tokens are different, parsing both corresponding tokens, and when the tokens are name tokens and the corresponding tokens are different, parsing the corresponding token only from the statistical engine; and outputting the data corresponding to the combination of tokens as the data that matches the predetermined pattern. | 11. A machine-implemented method of processing data comprising: receiving text; processing the text using both a pattern engine and a statistical engine to detect data of a plurality of predetermined types, the statistical engine converting the text into a first sequence of tokens, each token comprising a lexeme and a token type relating to the function of the lexeme within the text and having at least a predetermined probability that the corresponding data is of at least one of the predetermined types, the pattern engine converting the text into a second sequence of tokens, each token corresponding to data that matches a predetermined pattern indicative of the at least one of the predetermined types, the pattern engine further parsing a combination of the first and second sequence of tokens; and comparing the first and second sequence of tokens, wherein when corresponding tokens from the first and second sequence of tokens for a portion of the text are the same, parsing only one of the corresponding tokens, when the tokens are not name tokens and the corresponding tokens are different, parsing both corresponding tokens, and when the tokens are name tokens and the corresponding tokens are different, parsing the corresponding token only from the statistical engine; and outputting the data corresponding to the combination of tokens as the data that matches the predetermined pattern. 14. The method of claim 11 , wherein the statistical engine outputs tokens of a first token type and the pattern engine outputs tokens of a second token type, and at least one said predetermined types of data includes at least a token of the first token type and a token of the second token type. | 0.776435 |
9,894,104 | 9 | 16 | 9. A computer system for providing context through a scripting-type programming language to data included in a Session Initiation Protocol (SIP) message comprising: a processor; and a memory comprising machine readable instructions that when executed by the processor, cause the system to provide one or more contexts through a scripting-type computer programming language, wherein each of the one or more contexts functions as a pointer to a particular pre-defined portion of a SIP message, wherein each context is a pointer that references the memory location of the respective portion of data that it is associated with; provide one or more rules of an ingress profile and one or more rules of an egress profile, wherein the one or more rules of the ingress profile are different than the one or more rules of the egress profile, and wherein each of the one or more rules includes at least one trigger and at least one action; receive a series of SIP messages, wherein each SIP message in the series belongs to a same SIP message flow; after a particular SIP message in the series is received, parse the particular message to identify whether the particular message includes any portion of data that can be referenced via one or more contexts; for each respective portion of data that can be referenced via a context, associate a respective context with each respective portion of data such that the respective portion of data can be referenced by the context; determine whether the at least one action of any of the one or more rules of the ingress profile or the one or more rules of the egress profile is triggered by the SIP message; and using the one or more contexts, apply, to the series of SIP messages, the one or more rules of the ingress profile or the one or more rules of the egress profile for which the at least one action is triggered. | 9. A computer system for providing context through a scripting-type programming language to data included in a Session Initiation Protocol (SIP) message comprising: a processor; and a memory comprising machine readable instructions that when executed by the processor, cause the system to provide one or more contexts through a scripting-type computer programming language, wherein each of the one or more contexts functions as a pointer to a particular pre-defined portion of a SIP message, wherein each context is a pointer that references the memory location of the respective portion of data that it is associated with; provide one or more rules of an ingress profile and one or more rules of an egress profile, wherein the one or more rules of the ingress profile are different than the one or more rules of the egress profile, and wherein each of the one or more rules includes at least one trigger and at least one action; receive a series of SIP messages, wherein each SIP message in the series belongs to a same SIP message flow; after a particular SIP message in the series is received, parse the particular message to identify whether the particular message includes any portion of data that can be referenced via one or more contexts; for each respective portion of data that can be referenced via a context, associate a respective context with each respective portion of data such that the respective portion of data can be referenced by the context; determine whether the at least one action of any of the one or more rules of the ingress profile or the one or more rules of the egress profile is triggered by the SIP message; and using the one or more contexts, apply, to the series of SIP messages, the one or more rules of the ingress profile or the one or more rules of the egress profile for which the at least one action is triggered. 16. The computer system of claim 9 , wherein the machine readable instructions when executed by the processor further cause the system to apply a message overlay to the particular message to determine the one or more contexts for the particular message. | 0.663564 |
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