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8,239,423 | 1 | 4 | 1. A method of providing semantic access of data in a master data management system comprising: receiving information describing a schema of said master data management system storing information in a data store, wherein said schema is dynamic; determining said schema from said information; generating, by a database view manager within an external request manager, a set of database views based on said schema without replicating information in the data store, wherein at least one database view is a client-specific database view for a client, and further wherein said client-specific database view is configured to restrict access to a subset of said data said client is authorized to access; receiving, at the request manager, a query from an external application in a standard query language; performing said query using at least one database view in said set of database views; detecting a change in said schema; receiving new information describing a new schema; determining the new schema from said new information; generating, by the database view manager, an updated set of database views based on the new schema, wherein the updated set of database views includes an updated client-specific database view; and replacing said set of database views with said updated set of database views. | 1. A method of providing semantic access of data in a master data management system comprising: receiving information describing a schema of said master data management system storing information in a data store, wherein said schema is dynamic; determining said schema from said information; generating, by a database view manager within an external request manager, a set of database views based on said schema without replicating information in the data store, wherein at least one database view is a client-specific database view for a client, and further wherein said client-specific database view is configured to restrict access to a subset of said data said client is authorized to access; receiving, at the request manager, a query from an external application in a standard query language; performing said query using at least one database view in said set of database views; detecting a change in said schema; receiving new information describing a new schema; determining the new schema from said new information; generating, by the database view manager, an updated set of database views based on the new schema, wherein the updated set of database views includes an updated client-specific database view; and replacing said set of database views with said updated set of database views. 4. The method of claim 1 , wherein said standard query language is Structured Query Language (SQL). | 0.916946 |
9,093,062 | 1 | 5 | 1. A method for delivering an announcement in two or more languages, the method comprising the steps of: a computer receiving, from a plurality of microphones deployed in an environment, input representative of audio of a group of human speakers speaking in the environment in two or more natural languages during a duration of time, wherein each microphone of the plurality of microphones transmits respective audio signals on separate channels; the computer processing the input to identify the two or more natural languages being spoken in the environment by the group of human speakers during the duration of time; the computer processing the audio signals on each channel to identify a first utterance match for one of the identified two or more natural languages; for each of the identified two or more natural languages, the computer calculating a number of channels on which a first utterance match for that natural language was identified; the computer processing the input to determine a relative proportion of each of the identified two or more natural languages being spoken in the environment by the group of human speakers during the duration of time, wherein the relative proportion of a natural language is based, at least in part, on the calculated number of channels on which a first utterance match for that natural language was identified; the computer determining two or more natural languages in which to deliver the announcement based, at least in part, on the determined relative proportion of each of the identified two or more natural languages being spoken in the environment by the group of human speakers during the duration of time; the computer determining a descending sequential order in which to deliver the announcement in the determined two or more natural languages based, at least in part, on the relative proportion of each of the identified two or more natural languages; and the computer causing to be delivered the announcement in the determined two or more natural languages in the determined descending sequential order by transmitting the announcement to an announcement system. | 1. A method for delivering an announcement in two or more languages, the method comprising the steps of: a computer receiving, from a plurality of microphones deployed in an environment, input representative of audio of a group of human speakers speaking in the environment in two or more natural languages during a duration of time, wherein each microphone of the plurality of microphones transmits respective audio signals on separate channels; the computer processing the input to identify the two or more natural languages being spoken in the environment by the group of human speakers during the duration of time; the computer processing the audio signals on each channel to identify a first utterance match for one of the identified two or more natural languages; for each of the identified two or more natural languages, the computer calculating a number of channels on which a first utterance match for that natural language was identified; the computer processing the input to determine a relative proportion of each of the identified two or more natural languages being spoken in the environment by the group of human speakers during the duration of time, wherein the relative proportion of a natural language is based, at least in part, on the calculated number of channels on which a first utterance match for that natural language was identified; the computer determining two or more natural languages in which to deliver the announcement based, at least in part, on the determined relative proportion of each of the identified two or more natural languages being spoken in the environment by the group of human speakers during the duration of time; the computer determining a descending sequential order in which to deliver the announcement in the determined two or more natural languages based, at least in part, on the relative proportion of each of the identified two or more natural languages; and the computer causing to be delivered the announcement in the determined two or more natural languages in the determined descending sequential order by transmitting the announcement to an announcement system. 5. The method of claim 1 , wherein the announcement is caused to be delivered visually. | 0.941845 |
9,520,143 | 6 | 7 | 6. The foreign language learning apparatus of claim 1 , wherein the matching degree calculation unit calculates a matching percentage for each word by comparing the input waveform with the word waveform on a word basis, calculates a matching percentage for each part by comparing the input waveform with the partial waveform on a partial waveform basis, calculates a matching percentage for each sentence by summing all the matching percentages for each word and all the matching percentages for each part and then dividing each of the sums by a total number of matching percentages for each word and matching percentages for each part, and sends the calculated matching percentage for each word, the calculated matching percentage for each part, and the calculated matching percentage for each sentence to an output unit. | 6. The foreign language learning apparatus of claim 1 , wherein the matching degree calculation unit calculates a matching percentage for each word by comparing the input waveform with the word waveform on a word basis, calculates a matching percentage for each part by comparing the input waveform with the partial waveform on a partial waveform basis, calculates a matching percentage for each sentence by summing all the matching percentages for each word and all the matching percentages for each part and then dividing each of the sums by a total number of matching percentages for each word and matching percentages for each part, and sends the calculated matching percentage for each word, the calculated matching percentage for each part, and the calculated matching percentage for each sentence to an output unit. 7. The foreign language learning apparatus of claim 6 , further comprising a learning achievement display unit for receiving a standard pronunciation video corresponding to a word waveform whose matching percentage for each word is lower than a predetermined reference matching degree from the data storage unit and outputting the received standard pronunciation video to the output unit. | 0.955505 |
8,385,652 | 1 | 5 | 1. A method for performing character recognition on an input image, comprising: receiving at an image processing apparatus an input image that includes at least one textual line; identifying candidate inter-character breaks along the textual line using the image processing apparatus; classifying, using the image processing apparatus, each of the candidate inter-character breaks as an actual break, a non-break or an indeterminate break based at least in part on geometrical properties of each respective candidate inter-character break and character bounding boxes adjacent thereto; and recognizing the candidate characters using the image processing apparatus based at least in part on a feature set extracted from each respective candidate character. | 1. A method for performing character recognition on an input image, comprising: receiving at an image processing apparatus an input image that includes at least one textual line; identifying candidate inter-character breaks along the textual line using the image processing apparatus; classifying, using the image processing apparatus, each of the candidate inter-character breaks as an actual break, a non-break or an indeterminate break based at least in part on geometrical properties of each respective candidate inter-character break and character bounding boxes adjacent thereto; and recognizing the candidate characters using the image processing apparatus based at least in part on a feature set extracted from each respective candidate character. 5. The method of claim 1 wherein recognizing the candidate characters includes stretching the candidate characters on an input gray scale image. | 0.857988 |
8,265,970 | 1 | 8 | 1. A method for managing a business process in an enterprise comprising a plurality of business subsystems, the method comprising: by a computer, executing a business process model, wherein executing the business process model comprises generating a plurality of business level messages associated with business level tasks; in response to receiving a business level message, generating one or more system level messages associated with system level tasks to be performed by one or more enterprise subsystems, wherein the one or more enterprise subsystems comprise at least a plurality of computing systems and the one or more system level messages are in a common format that is accessible by the one or more enterprise subsystems; and by a computer, broadcasting the one or more system level messages over a communication channel communicably coupling the plurality of enterprise subsystems. | 1. A method for managing a business process in an enterprise comprising a plurality of business subsystems, the method comprising: by a computer, executing a business process model, wherein executing the business process model comprises generating a plurality of business level messages associated with business level tasks; in response to receiving a business level message, generating one or more system level messages associated with system level tasks to be performed by one or more enterprise subsystems, wherein the one or more enterprise subsystems comprise at least a plurality of computing systems and the one or more system level messages are in a common format that is accessible by the one or more enterprise subsystems; and by a computer, broadcasting the one or more system level messages over a communication channel communicably coupling the plurality of enterprise subsystems. 8. The method as recited in claim 1 wherein the plurality of business level messages are generated by a business process model system (BPMS), and wherein generating the one or more system level messages is performed by an enterprise service bus (ESB). | 0.599042 |
8,402,118 | 8 | 9 | 8. An apparatus for generating and managing logical units (LUNs) in a storage network environment, the apparatus comprising: a plurality of modules implemented in at least one of hardware and computer-implemented software, the modules comprising: an identification module to identify a type of LUN, at least one server that will access the LUN, and a storage system that will host the LUN; a mapping module to map the type, the at least one server, and the storage system to one more abbreviations; a naming module to generate a LUN name that encapsulates the abbreviations; an assignment module to assign the LUN name to the LUN; and a debugging module to debug a problem associated with the LUN by determining, from the LUN name, at least one of the type, the at least one server, and the storage system associated with the LUN. | 8. An apparatus for generating and managing logical units (LUNs) in a storage network environment, the apparatus comprising: a plurality of modules implemented in at least one of hardware and computer-implemented software, the modules comprising: an identification module to identify a type of LUN, at least one server that will access the LUN, and a storage system that will host the LUN; a mapping module to map the type, the at least one server, and the storage system to one more abbreviations; a naming module to generate a LUN name that encapsulates the abbreviations; an assignment module to assign the LUN name to the LUN; and a debugging module to debug a problem associated with the LUN by determining, from the LUN name, at least one of the type, the at least one server, and the storage system associated with the LUN. 9. The apparatus of claim 8 , wherein the type is selected from the group consisting of a real boot LUN, a real data LUN, a virtual boot LUN, and a virtual data LUN. | 0.708481 |
8,812,473 | 4 | 5 | 4. The method of claim 3 , wherein the method comprises collecting the search activity data, at least in part, via browser-executable code embedded in said web page. | 4. The method of claim 3 , wherein the method comprises collecting the search activity data, at least in part, via browser-executable code embedded in said web page. 5. The method of claim 4 , wherein the browser-executable code is JavaScript code. | 0.977981 |
7,962,555 | 1 | 2 | 1. A computer-implemented method of discussion thread management performed by a computer system having at least one processor, comprising: enabling users to define user-defined tags and to associate said user defined tags with posts in a discussion thread; automatically generating system-generated tags, wherein said system-generated tags are determined by analyzing the contents of all posts in a sub-thread of said discussion thread, wherein said sub-thread is made up of a selected post in said discussion thread that is a root post of said sub-thread, posts that are replies to said root post of said sub-thread, and all posts contained in any other sub-threads having root posts located under said root post of said sub-thread; associating said system-generated tags with said selected post; enabling a moderator user to promote a number of said system-generated tags to moderator-promoted tags; and determining, responsive to said user-defined tags, said system-generated tags, and said moderator-promoted tags, whether said sub-thread is off-topic with respect to said discussion thread. | 1. A computer-implemented method of discussion thread management performed by a computer system having at least one processor, comprising: enabling users to define user-defined tags and to associate said user defined tags with posts in a discussion thread; automatically generating system-generated tags, wherein said system-generated tags are determined by analyzing the contents of all posts in a sub-thread of said discussion thread, wherein said sub-thread is made up of a selected post in said discussion thread that is a root post of said sub-thread, posts that are replies to said root post of said sub-thread, and all posts contained in any other sub-threads having root posts located under said root post of said sub-thread; associating said system-generated tags with said selected post; enabling a moderator user to promote a number of said system-generated tags to moderator-promoted tags; and determining, responsive to said user-defined tags, said system-generated tags, and said moderator-promoted tags, whether said sub-thread is off-topic with respect to said discussion thread. 2. The method of claim 1 , further comprising: in the event said sub-thread is determined to be off-topic with respect to said discussion thread, moving said sub-thread to a new discussion thread. | 0.875792 |
9,262,398 | 13 | 15 | 13. The computer system of claim 12 , wherein the at least one processor is further configured to: receive from the user a selection of one of the plurality of first language descriptor strings; and send a message indicating the language selected by the user to the first application. | 13. The computer system of claim 12 , wherein the at least one processor is further configured to: receive from the user a selection of one of the plurality of first language descriptor strings; and send a message indicating the language selected by the user to the first application. 15. The computer system of claim 13 , wherein the message indicating the language selected by the user includes at least one RFC 5646-compliant tag. | 0.96809 |
8,903,707 | 14 | 15 | 14. An article of manufacture comprising a computer readable storage memory having computer readable instructions tangibly embodied thereon which, when implemented, cause a computer to carry out a plurality of method steps comprising: collecting parallel sentences from a source language and a target language; creating at least one word alignment between the parallel sentences in the source language and the target language; mapping at least one pronoun from the target language sentence onto the source language sentence; computing multiple features from the mapping, wherein the multiple features are extracted from both the source language and the at least one pronoun projected from the target language; using the multiple features to train a plurality of classifiers to predict position and spelling of at least one pronoun in the target language when the at least one pronoun is dropped in the source language; updating the plurality of classifiers based on user feedback provided in response to a prediction of position and spelling of at least one pronoun in the target language when the at least one pronoun is dropped in the source language; and providing a graphical user interface to enable a user to select one of the plurality of classifiers to apply to a portion of the source language, wherein said plurality of classifiers are displayed to the user via the graphical user interface for selection and comprise (i) a conditional random field classifier, (ii) a tree-relabeling classifier, and (iii) a maximum entropy classifier. | 14. An article of manufacture comprising a computer readable storage memory having computer readable instructions tangibly embodied thereon which, when implemented, cause a computer to carry out a plurality of method steps comprising: collecting parallel sentences from a source language and a target language; creating at least one word alignment between the parallel sentences in the source language and the target language; mapping at least one pronoun from the target language sentence onto the source language sentence; computing multiple features from the mapping, wherein the multiple features are extracted from both the source language and the at least one pronoun projected from the target language; using the multiple features to train a plurality of classifiers to predict position and spelling of at least one pronoun in the target language when the at least one pronoun is dropped in the source language; updating the plurality of classifiers based on user feedback provided in response to a prediction of position and spelling of at least one pronoun in the target language when the at least one pronoun is dropped in the source language; and providing a graphical user interface to enable a user to select one of the plurality of classifiers to apply to a portion of the source language, wherein said plurality of classifiers are displayed to the user via the graphical user interface for selection and comprise (i) a conditional random field classifier, (ii) a tree-relabeling classifier, and (iii) a maximum entropy classifier. 15. The article of manufacture of claim 14 , wherein the computer readable instructions which, when implemented, further cause a computer to carry out a method step comprising: creating a parse tree for each sentence in the source language and the target language. | 0.851519 |
6,134,559 | 1 | 5 | 1. A method for integrating objects defined by different type systems into a single integrated object oriented system, said method comprising the steps of: providing an integrated object oriented system comprising, an integrated type system that supports a superset of features from a plurality of foreign object systems, said foreign object systems comprising a plurality of foreign objects defined by foreign type systems that are different from said integrated type system, said foreign objects including at least one method; receiving into said integrated object oriented system a plurality of said foreign objects from said different foreign object systems; converting said foreign objects into uniform object model objects defined by said integrated type system; and executing said foreign objects as uniform object model objects in a run time environment without loss of features provided by said foreign objects. | 1. A method for integrating objects defined by different type systems into a single integrated object oriented system, said method comprising the steps of: providing an integrated object oriented system comprising, an integrated type system that supports a superset of features from a plurality of foreign object systems, said foreign object systems comprising a plurality of foreign objects defined by foreign type systems that are different from said integrated type system, said foreign objects including at least one method; receiving into said integrated object oriented system a plurality of said foreign objects from said different foreign object systems; converting said foreign objects into uniform object model objects defined by said integrated type system; and executing said foreign objects as uniform object model objects in a run time environment without loss of features provided by said foreign objects. 5. The method as set forth in claim 1, further comprising the step of converting uniform object model objects to objects defined by said foreign object type system. | 0.867099 |
8,527,510 | 13 | 14 | 13. The method according to claim 11 further comprising determining a total matching score S as the sum of at least LW*L+IW*I+FW*F+TW*T, where: LW is a weight given to a location factor and L is a matching score for the location, IW is a weight given to an industry factor, and I is a matching score for the industry, FW is a weight given to a job function factor, and F is a matching score for the job function, TW is a weight given to a title factor, and T is a matching score for the title. | 13. The method according to claim 11 further comprising determining a total matching score S as the sum of at least LW*L+IW*I+FW*F+TW*T, where: LW is a weight given to a location factor and L is a matching score for the location, IW is a weight given to an industry factor, and I is a matching score for the industry, FW is a weight given to a job function factor, and F is a matching score for the job function, TW is a weight given to a title factor, and T is a matching score for the title. 14. The method according to claim 13 wherein the total matching score further comprises the product of SW*S where SW is a weight given to a past search factor and S is a past search matching score. | 0.947439 |
8,176,067 | 1 | 4 | 1. A computer-implemented method facilitating a search of a collection of content, comprising: under control of one or more computer systems configured with executable instructions, associating keywords of previous searches of the collection of content with topics in accordance with a latent Dirichlet allocation; for each of the topics, identifying candidate phrases of the previous searches that contain at least one of the keywords associated with the topic; determining pointwise mutual information scores for the candidate phrases; and selecting at least some of the candidate phrases as fixed phrases based at least in part on a greatest pointwise mutual information score determined for the topic; determining relevance scores for each of at least some of the keywords and each of at least some of the fixed phrases with respect to the collection of content; and providing at least one result of the search for presentation, said at least one result at least referencing content selected from the collection of content based at least in part on the determined relevance scores. | 1. A computer-implemented method facilitating a search of a collection of content, comprising: under control of one or more computer systems configured with executable instructions, associating keywords of previous searches of the collection of content with topics in accordance with a latent Dirichlet allocation; for each of the topics, identifying candidate phrases of the previous searches that contain at least one of the keywords associated with the topic; determining pointwise mutual information scores for the candidate phrases; and selecting at least some of the candidate phrases as fixed phrases based at least in part on a greatest pointwise mutual information score determined for the topic; determining relevance scores for each of at least some of the keywords and each of at least some of the fixed phrases with respect to the collection of content; and providing at least one result of the search for presentation, said at least one result at least referencing content selected from the collection of content based at least in part on the determined relevance scores. 4. A computer-implemented method according to claim 1 , wherein each of the candidate phrases has less than a threshold number of the keywords. | 0.820352 |
8,660,836 | 10 | 11 | 10. The method of claim 6 , wherein the initial processing results computing step further comprises obtaining one or more baseline output data sets from the natural language processing system for the one or more input data sets. | 10. The method of claim 6 , wherein the initial processing results computing step further comprises obtaining one or more baseline output data sets from the natural language processing system for the one or more input data sets. 11. The method of claim 10 , wherein the initial processing results computing step further comprises obtaining user feedback on the one or more baseline output data sets. | 0.88529 |
8,145,628 | 1 | 2 | 1. A computer-readable storage medium containing a program which, when executed by a processor, performs operations for managing execution of an analysis routine, the operations comprising: accessing an analysis routine configured to process one or more inputs; wherein the analysis routine is defined by at least one abstract rule set having one or more abstract rules each having a conditional statement and a consequential statement; wherein the consequential statement defines a particular recommendation that is returned when the conditional statement is satisfied; wherein the conditional statement and the consequential statement are defined using logical field definitions defined in an abstraction model that models underlying physical data, wherein the logical field definitions each specify at least a logical field name and an access method mapping the logical field name to corresponding underlying physical data; determining, from the accessed analysis routine, a predefined validating condition that needs to be satisfied by at least one of the one or more inputs; validating a particular data value defining the at least one of the one or more inputs on the basis of the predefined validating condition; and when the particular data value is not validated, performing a predefined action configured to avoid execution of the analysis routine on invalid inputs. | 1. A computer-readable storage medium containing a program which, when executed by a processor, performs operations for managing execution of an analysis routine, the operations comprising: accessing an analysis routine configured to process one or more inputs; wherein the analysis routine is defined by at least one abstract rule set having one or more abstract rules each having a conditional statement and a consequential statement; wherein the consequential statement defines a particular recommendation that is returned when the conditional statement is satisfied; wherein the conditional statement and the consequential statement are defined using logical field definitions defined in an abstraction model that models underlying physical data, wherein the logical field definitions each specify at least a logical field name and an access method mapping the logical field name to corresponding underlying physical data; determining, from the accessed analysis routine, a predefined validating condition that needs to be satisfied by at least one of the one or more inputs; validating a particular data value defining the at least one of the one or more inputs on the basis of the predefined validating condition; and when the particular data value is not validated, performing a predefined action configured to avoid execution of the analysis routine on invalid inputs. 2. The computer-readable storage medium of claim 1 , wherein performing a predefined action comprises issuing a notification to a user indicating that the particular data value is invalid and providing the user a command prompt from which the user may make a selection requesting that the analysis routine be executed using the at least one of the one or more inputs despite the notification. | 0.545244 |
9,286,548 | 2 | 3 | 2. The method of claim 1 , wherein the first classifier is a different classifier type than the second classifier. | 2. The method of claim 1 , wherein the first classifier is a different classifier type than the second classifier. 3. The method of claim 2 , wherein the first classifier is a text-type classifier and the second classifier is an image-type classifier. | 0.942568 |
9,904,727 | 1 | 2 | 1. A system comprising: a memory storing a graphical structure comprising a first node representing a person, and a second node representing a document in a document repository, the nodes being connected by an edge according to an automatically observed interaction between the person represented by the first node and the document represented by the second node, at least one of the nodes having a topic annotation denoting a topic, the interaction based at least in part on at least one of: a consumption activity by the person represented by the first node of the document represented by the second node, or a relationship between the person represented by the first node, and a second person represented by a third node; a node relatedness construct to calculate a distance between two nodes of the graphical structure; an input arranged to receive at least an identifier of a user who is represented by the first node; and an identifier/retriever arranged to identify one or more documents from the document repository by using the identifier and using the calculated distances between the two nodes. | 1. A system comprising: a memory storing a graphical structure comprising a first node representing a person, and a second node representing a document in a document repository, the nodes being connected by an edge according to an automatically observed interaction between the person represented by the first node and the document represented by the second node, at least one of the nodes having a topic annotation denoting a topic, the interaction based at least in part on at least one of: a consumption activity by the person represented by the first node of the document represented by the second node, or a relationship between the person represented by the first node, and a second person represented by a third node; a node relatedness construct to calculate a distance between two nodes of the graphical structure; an input arranged to receive at least an identifier of a user who is represented by the first node; and an identifier/retriever arranged to identify one or more documents from the document repository by using the identifier and using the calculated distances between the two nodes. 2. The system of claim 1 wherein the annotation includes a word that does not occur in the text of the document represented by the second node. | 0.839686 |
8,924,391 | 10 | 11 | 10. The method of claim 9 , wherein said mapping assigns each of said plurality of texts a position in concept space by assigning, for each of said plurality of texts, a relevance score against each of the n Wikipedia articles and creating a vector that contains each of the n relevance scores for a given one of the plurality of texts. | 10. The method of claim 9 , wherein said mapping assigns each of said plurality of texts a position in concept space by assigning, for each of said plurality of texts, a relevance score against each of the n Wikipedia articles and creating a vector that contains each of the n relevance scores for a given one of the plurality of texts. 11. The method of claim 10 , wherein each of the relevance scores is based on TF-IDF weights. | 0.959175 |
9,442,996 | 1 | 5 | 1. A method for enabling collaborative development of a database application, the method comprising: receiving a database, generated by a first user in a first database language, via a first database management system (DBMS); designating a set of tables from the database as a set of static data tables; committing the database and the set of static data tables to a repository; deploying, from the repository, the database in a second DBMS; receiving a change to the database, by a second user in a second database language, via at least one of: the first DBMS, and the second DBMS, wherein the change is represented as metadata that is general to both the first DBMS and the second DBMS; and synchronizing the change to the database within the repository based on the metadata. | 1. A method for enabling collaborative development of a database application, the method comprising: receiving a database, generated by a first user in a first database language, via a first database management system (DBMS); designating a set of tables from the database as a set of static data tables; committing the database and the set of static data tables to a repository; deploying, from the repository, the database in a second DBMS; receiving a change to the database, by a second user in a second database language, via at least one of: the first DBMS, and the second DBMS, wherein the change is represented as metadata that is general to both the first DBMS and the second DBMS; and synchronizing the change to the database within the repository based on the metadata. 5. The method according to claim 1 , further comprising reporting the change to the database. | 0.92132 |
9,864,590 | 1 | 4 | 1. A computer implemented method of program compilation to improve parallelism during the linking of the program by a compiler, the method comprising: converting statements of the program to canonical form; constructing a traversable representation for each procedure in the program; and traversing the program to construct a functional dataflow graph, in which an assignment statement or function call is represented as a node, a control flow decision is represented by a first set of nodes, an array or set is represented as a second set of nodes, and edges of the functional dataflow graph represent typed data; identifying at least one loop in the functional dataflow graph that can be executed in parallel; and transforming the at least one loop to a set operation by retyping connections between nodes of the functional dataflow graph. | 1. A computer implemented method of program compilation to improve parallelism during the linking of the program by a compiler, the method comprising: converting statements of the program to canonical form; constructing a traversable representation for each procedure in the program; and traversing the program to construct a functional dataflow graph, in which an assignment statement or function call is represented as a node, a control flow decision is represented by a first set of nodes, an array or set is represented as a second set of nodes, and edges of the functional dataflow graph represent typed data; identifying at least one loop in the functional dataflow graph that can be executed in parallel; and transforming the at least one loop to a set operation by retyping connections between nodes of the functional dataflow graph. 4. The method of claim 1 , wherein traversing further comprises: expanding procedures found in the traversable representation of a primary procedure of the program to incorporate a traversable representation representing each secondary procedure of the program. | 0.74311 |
8,073,681 | 29 | 32 | 29. The system of claim 25 , wherein the one or more processors are further configured to: identify a conversational goal associated with the utterance, roles associated with the user and one or more other participants in the current conversation, and an information allocation among the user and the one or more other participants in the current conversation; and classify one or more of the utterance or the current conversation into a conversation type based on one or more of the identified conversational goal, the identified roles, or the identified information allocation, wherein the one or more processors are further configured to establish the intended meaning based on the conversation type. | 29. The system of claim 25 , wherein the one or more processors are further configured to: identify a conversational goal associated with the utterance, roles associated with the user and one or more other participants in the current conversation, and an information allocation among the user and the one or more other participants in the current conversation; and classify one or more of the utterance or the current conversation into a conversation type based on one or more of the identified conversational goal, the identified roles, or the identified information allocation, wherein the one or more processors are further configured to establish the intended meaning based on the conversation type. 32. The system of claim 29 wherein the one or more processors are further configured to generate the grammatically syntactically adapted response based on the conversation type. | 0.94729 |
7,716,161 | 12 | 31 | 12. The computer implemented method of claim 3 , wherein the target document is a target web page. | 12. The computer implemented method of claim 3 , wherein the target document is a target web page. 31. The computer implemented method of claim 12 , wherein identifying targeting information comprises generating a set of one or more topics for the advertisement based on text of queries on a search engine that yield a result that links to a web page on a web site to which the advertisement links. | 0.895014 |
9,380,185 | 1 | 9 | 1. A non-transitory computer-readable medium storing computer-executable instructions that, when executed by a processor, cause an output apparatus, which includes a storage section configured to store a plurality of document data sets having a predetermined order and acquired from a plurality of documents, the plurality of document data sets each comprising image data and a plurality of attributes, wherein each of the plurality of attributes is associated with one or more sequential images of the image data, the attributes selected from the group consisting of a cover, a table of contents, body text, non-body text, and an afterward, the output apparatus further comprising an output section configured to output, on a display, images of the image data to perform: a first output control process of controlling the output section to sequentially output, on the display, each image of image data belonging to one document data set and, thereafter, sequentially output, on the display, each image of image data belonging to a next document data set, wherein the next document data set is based on the predetermined order; and a second output control process of controlling the output section to sequentially output on the display, each image of the image data belonging to a specified attribute of one document data set and, thereafter, sequentially output, on the display, each image of the image data belonging to the specified attribute of the next document data set, each of the plurality of document data sets having a plurality of attributes including the specified attribute, and wherein the storage section is configured to store each of the plurality of document data sets in sections based on the plurality of attributes. | 1. A non-transitory computer-readable medium storing computer-executable instructions that, when executed by a processor, cause an output apparatus, which includes a storage section configured to store a plurality of document data sets having a predetermined order and acquired from a plurality of documents, the plurality of document data sets each comprising image data and a plurality of attributes, wherein each of the plurality of attributes is associated with one or more sequential images of the image data, the attributes selected from the group consisting of a cover, a table of contents, body text, non-body text, and an afterward, the output apparatus further comprising an output section configured to output, on a display, images of the image data to perform: a first output control process of controlling the output section to sequentially output, on the display, each image of image data belonging to one document data set and, thereafter, sequentially output, on the display, each image of image data belonging to a next document data set, wherein the next document data set is based on the predetermined order; and a second output control process of controlling the output section to sequentially output on the display, each image of the image data belonging to a specified attribute of one document data set and, thereafter, sequentially output, on the display, each image of the image data belonging to the specified attribute of the next document data set, each of the plurality of document data sets having a plurality of attributes including the specified attribute, and wherein the storage section is configured to store each of the plurality of document data sets in sections based on the plurality of attributes. 9. The medium according to claim 1 , wherein the instructions further cause the output apparatus to perform a data acquiring process of acquiring each of the plurality of document data sets in an order of the sections based on the plurality of attributes, and acquiring page numbers for each of the plurality of attributes. | 0.586957 |
8,019,656 | 18 | 19 | 18. The method of claim 1 , wherein the assertion models include a plurality of assertion templates, each assertion template including a natural sentence pattern and at least one field corresponding to the at least one attribute. | 18. The method of claim 1 , wherein the assertion models include a plurality of assertion templates, each assertion template including a natural sentence pattern and at least one field corresponding to the at least one attribute. 19. The method of claim 18 , further including the step of assigning importance ratings to each of the at least one attributes. | 0.972076 |
9,349,299 | 1 | 3 | 1. A method comprising: availing a plurality of educational standards to a plurality of students, wherein said standards correspond to a plurality of lessons to be at least partially taught via a plurality of teachers to said students, wherein said availing comprises receiving, by an evaluation server, an educational standard and a lesson plan from a teacher client over a network, storing, by said evaluation server, said educational standard and said lesson plan in a database coupled to said evaluation server, receiving, by said evaluation server, an educational standard selection and a lesson plan selection from said teacher client over said network, wherein said educational standard selection selects said educational standard stored in said database, wherein said lesson plan selection selects said lesson plan stored in said database, assigning, by said evaluation server, said educational standard to said lesson plan in said database based on said educational standard selection and said lesson plan selection, receiving, by said evaluation server, an input from a student client over said network, wherein said input is indicative of at least one of a teacher, a class, or a location of a class, presenting, by said evaluation server, said educational standard and said lesson plan on said student client over said network based on said input and said assigning; receiving a plurality of ratings from said students, wherein said ratings rating said teachers based at least in part on said students perceptions of said teachers at least partially teaching said lessons according to said standards, wherein said receiving is based on presenting, by said evaluation server, a binary rating scale on said student client over said network based on said presenting said educational standard and said lesson plan on said student client, receiving, by said evaluation server, a rating from said student client over said network based on said binary rating scale, storing, by said evaluation server, said rating in said database such that said rating is associated with said educational standard and said lesson plan, wherein said rating is anonymous to said teacher client based on said evaluation server not revealing a student identity associated with said student client to said teacher client, wherein said rating is not anonymous to an administrator client based on said evaluation server revealing said student identity to said administrator client; extracting a meaning from said ratings, wherein the extracting comprises correlating, by said evaluation server, a test score with said rating associated with said educational standard and said lesson plan, wherein said test score is stored in said database, providing, by said evaluation server, a notice to said administrator client over said network based on said correlating. | 1. A method comprising: availing a plurality of educational standards to a plurality of students, wherein said standards correspond to a plurality of lessons to be at least partially taught via a plurality of teachers to said students, wherein said availing comprises receiving, by an evaluation server, an educational standard and a lesson plan from a teacher client over a network, storing, by said evaluation server, said educational standard and said lesson plan in a database coupled to said evaluation server, receiving, by said evaluation server, an educational standard selection and a lesson plan selection from said teacher client over said network, wherein said educational standard selection selects said educational standard stored in said database, wherein said lesson plan selection selects said lesson plan stored in said database, assigning, by said evaluation server, said educational standard to said lesson plan in said database based on said educational standard selection and said lesson plan selection, receiving, by said evaluation server, an input from a student client over said network, wherein said input is indicative of at least one of a teacher, a class, or a location of a class, presenting, by said evaluation server, said educational standard and said lesson plan on said student client over said network based on said input and said assigning; receiving a plurality of ratings from said students, wherein said ratings rating said teachers based at least in part on said students perceptions of said teachers at least partially teaching said lessons according to said standards, wherein said receiving is based on presenting, by said evaluation server, a binary rating scale on said student client over said network based on said presenting said educational standard and said lesson plan on said student client, receiving, by said evaluation server, a rating from said student client over said network based on said binary rating scale, storing, by said evaluation server, said rating in said database such that said rating is associated with said educational standard and said lesson plan, wherein said rating is anonymous to said teacher client based on said evaluation server not revealing a student identity associated with said student client to said teacher client, wherein said rating is not anonymous to an administrator client based on said evaluation server revealing said student identity to said administrator client; extracting a meaning from said ratings, wherein the extracting comprises correlating, by said evaluation server, a test score with said rating associated with said educational standard and said lesson plan, wherein said test score is stored in said database, providing, by said evaluation server, a notice to said administrator client over said network based on said correlating. 3. The method of claim 1 , further comprising: sending, by said evaluation server, a notification to said student client, wherein said notification is informative of said educational standard being assigned to said lesson plan and available for viewing via said student client, wherein said sending is responsive to said assigning. | 0.501506 |
9,286,061 | 14 | 17 | 14. A computing device comprising: at least one memory; at least one processor in communication with the at least one memory; and executable instructions stored on the at least one memory and executed on the at least one processor, to cause the computing device to: cause a document to be displayed in a documentation display area of a user interface; cause a plurality of macros to be displayed in a macro display area of the user interface that is adjacent to the documentation display area, individual ones of the plurality of macros being configured to launch different external components within a launched external component display area of the user interface for accessing different types of external medical data; determine an identifier associated with the document; receive, within the macro display area, a selection that activates a macro of the plurality of macros; launch, based at least in part on the selection, an external component within the launched external component display area of the user interface while the document is being displayed in the documentation display area of the user interface, the launched external component display area being presented contemporaneously with the documentation display area and the macro display area; provide component-specific context data of the document to the launched external component; access, by the launched external component and based at least in part on the component-specific context data, external medical data of a particular type from an external computing device, the external medical data being associated with a user identified by the identifier; cause the accessed external medical data of the particular type to be displayed within the launched external component display area of the user interface; process user interactions associated with the accessed external medical data displayed within the launched external component display area, the user interactions modifying the accessed external medical data to produce modified external medical data; capture a message sent from the launched external component to the external computing device, the message including at least a portion of the modified external medical data; and automatically render a portion of the document displayed in the documentation display area based at least in part on the portion of the modified external medical data included in the captured message. | 14. A computing device comprising: at least one memory; at least one processor in communication with the at least one memory; and executable instructions stored on the at least one memory and executed on the at least one processor, to cause the computing device to: cause a document to be displayed in a documentation display area of a user interface; cause a plurality of macros to be displayed in a macro display area of the user interface that is adjacent to the documentation display area, individual ones of the plurality of macros being configured to launch different external components within a launched external component display area of the user interface for accessing different types of external medical data; determine an identifier associated with the document; receive, within the macro display area, a selection that activates a macro of the plurality of macros; launch, based at least in part on the selection, an external component within the launched external component display area of the user interface while the document is being displayed in the documentation display area of the user interface, the launched external component display area being presented contemporaneously with the documentation display area and the macro display area; provide component-specific context data of the document to the launched external component; access, by the launched external component and based at least in part on the component-specific context data, external medical data of a particular type from an external computing device, the external medical data being associated with a user identified by the identifier; cause the accessed external medical data of the particular type to be displayed within the launched external component display area of the user interface; process user interactions associated with the accessed external medical data displayed within the launched external component display area, the user interactions modifying the accessed external medical data to produce modified external medical data; capture a message sent from the launched external component to the external computing device, the message including at least a portion of the modified external medical data; and automatically render a portion of the document displayed in the documentation display area based at least in part on the portion of the modified external medical data included in the captured message. 17. The computing device according to claim 14 , wherein the message is one of: a Health Level Seven (HL7) message; a Simple Object Access Protocol (SOAP) message; or a Hypertext Transfer Protocol (HTTP) message. | 0.814361 |
8,180,633 | 1 | 2 | 1. A method for semantic extraction using neural network architecture, comprising: indexing an input sentence and providing position information for a word of interest and a verb of interest; converting words into vectors using features learned during training; integrating verb of interest and word of interest position relative to the word to be labeled by employing a linear layer that is adapted to the input sentence; and applying linear transformations and squashing functions to the vectors to predict semantic role labels. | 1. A method for semantic extraction using neural network architecture, comprising: indexing an input sentence and providing position information for a word of interest and a verb of interest; converting words into vectors using features learned during training; integrating verb of interest and word of interest position relative to the word to be labeled by employing a linear layer that is adapted to the input sentence; and applying linear transformations and squashing functions to the vectors to predict semantic role labels. 2. The method as recited in claim 1 , wherein converting words into vectors includes employing at least one lookup table to output a concatenation of vectors including adapted weights. | 0.867816 |
7,831,580 | 1 | 7 | 1. A computer-implemented process for use in a computer network that includes at least two computers communicatively coupled to each other, the process comprising the steps of: (a) accepting a first user's request; (b) searching a local knowledge object repository comprising local knowledge each of the local knowledge objects being associated with the first user; (c) searching a central knowledge object repository comprising contributed knowledge objects; (d) returning to the first user a list of links for all matching local and contributed knowledge objects, said matching local and contributed knowledge objects being marked either local or published or listed; (e) allowing access to said matching local and contributed knowledge objects if the first user chooses a knowledge object marked local or published; (f) forwarding the first user's request to a second user and prompting the second user for authorization of access if the first user chooses a knowledge object marked listed from the list, the second user having control of access to the knowledge object marked listed object; (g) returning to the first user the chosen knowledge object marked listed if the second user allows access; (h) notifying the first user that the request is not completed if the second user declines access to the listed knowledge object. | 1. A computer-implemented process for use in a computer network that includes at least two computers communicatively coupled to each other, the process comprising the steps of: (a) accepting a first user's request; (b) searching a local knowledge object repository comprising local knowledge each of the local knowledge objects being associated with the first user; (c) searching a central knowledge object repository comprising contributed knowledge objects; (d) returning to the first user a list of links for all matching local and contributed knowledge objects, said matching local and contributed knowledge objects being marked either local or published or listed; (e) allowing access to said matching local and contributed knowledge objects if the first user chooses a knowledge object marked local or published; (f) forwarding the first user's request to a second user and prompting the second user for authorization of access if the first user chooses a knowledge object marked listed from the list, the second user having control of access to the knowledge object marked listed object; (g) returning to the first user the chosen knowledge object marked listed if the second user allows access; (h) notifying the first user that the request is not completed if the second user declines access to the listed knowledge object. 7. The process of claim 1 , wherein the step (g) further comprises the step of: prompting the second user to publish the chosen listed knowledge object. | 0.766154 |
9,740,696 | 1 | 8 | 1. A method performed by one or more computers, the method comprising: receiving, by the one or more computers, audio data from a client device; determining, by the one or more computers, specific content from captured media that matches the received audio data, wherein the captured media is captured from one or more media sources at a backend system and includes at least one of audio media or audio-video media, and wherein determining the specific content that matches the received audio data includes identifying an advertisement that is (i) included within the captured media and (ii) included within the media programming associated with the received audio data, wherein the captured media comprises a collection of audio fingerprints stored in an audio fingerprint repository, wherein each audio fingerprint is generated from at least a portion of an audio stream extracted from one or more monitored digital television broadcast channels; obtaining, by the one or more computers, additional information associated with the advertisement included within the media programming associated with the received audio data; generating, by the one or more computers, a search query based at least in part on the obtained additional information associated with the advertisement included within the media programming associated with the received audio data; and returning, by the one or more computers, one or more search results to the client device responsive to the search query. | 1. A method performed by one or more computers, the method comprising: receiving, by the one or more computers, audio data from a client device; determining, by the one or more computers, specific content from captured media that matches the received audio data, wherein the captured media is captured from one or more media sources at a backend system and includes at least one of audio media or audio-video media, and wherein determining the specific content that matches the received audio data includes identifying an advertisement that is (i) included within the captured media and (ii) included within the media programming associated with the received audio data, wherein the captured media comprises a collection of audio fingerprints stored in an audio fingerprint repository, wherein each audio fingerprint is generated from at least a portion of an audio stream extracted from one or more monitored digital television broadcast channels; obtaining, by the one or more computers, additional information associated with the advertisement included within the media programming associated with the received audio data; generating, by the one or more computers, a search query based at least in part on the obtained additional information associated with the advertisement included within the media programming associated with the received audio data; and returning, by the one or more computers, one or more search results to the client device responsive to the search query. 8. The method of claim 1 , wherein the advertisement is identified as an advertisement using a repetition pattern algorithm during analysis of the captured media. | 0.868078 |
8,494,978 | 1 | 16 | 1. A computer program product embodied in a non-transitory computer readable medium that, when executing on one or more computers, helps determine an unknown user's preferences through the use of internet based social interactive graphical representations on a computer facility by performing the steps of: ascertaining preferences of a plurality of users who are part of an internet based social interactive construct, wherein the plurality of users become a plurality of known users; determining the internet based social interactive graphical representation for the plurality of known users; and inferring the preferences of an unknown user present in the internet based social interactive graphical representation of the plurality of known users based on the interrelationships between the unknown user and the plurality of known users within the graphical representation. | 1. A computer program product embodied in a non-transitory computer readable medium that, when executing on one or more computers, helps determine an unknown user's preferences through the use of internet based social interactive graphical representations on a computer facility by performing the steps of: ascertaining preferences of a plurality of users who are part of an internet based social interactive construct, wherein the plurality of users become a plurality of known users; determining the internet based social interactive graphical representation for the plurality of known users; and inferring the preferences of an unknown user present in the internet based social interactive graphical representation of the plurality of known users based on the interrelationships between the unknown user and the plurality of known users within the graphical representation. 16. The computer program product of claim 1 , wherein the inferred preferences are used to recommend at least one of products and services to the unknown user. | 0.676829 |
8,990,224 | 12 | 13 | 12. A computer system comprising: one or more processors to: determine a plurality of portions of text extracted from a corresponding plurality of documents; process a particular portion of text, of the plurality of portions of text, by applying a first filter, of a plurality of filters, to generate a first score, the particular portion of text corresponding to a particular document of the plurality of documents; determine a total count of script changes or font changes in the particular portion of text by applying a second filter of the plurality of filters; generate a second score based on the total count of the script changes or the font changes in the particular portion of text; determine a readability score based on the first score and the second score; determine that the readability score satisfies a threshold score; generate or select a new portion of text, for the particular document, based on determining that the readability score satisfies the threshold score; and assign the new portion of text to the particular document. | 12. A computer system comprising: one or more processors to: determine a plurality of portions of text extracted from a corresponding plurality of documents; process a particular portion of text, of the plurality of portions of text, by applying a first filter, of a plurality of filters, to generate a first score, the particular portion of text corresponding to a particular document of the plurality of documents; determine a total count of script changes or font changes in the particular portion of text by applying a second filter of the plurality of filters; generate a second score based on the total count of the script changes or the font changes in the particular portion of text; determine a readability score based on the first score and the second score; determine that the readability score satisfies a threshold score; generate or select a new portion of text, for the particular document, based on determining that the readability score satisfies the threshold score; and assign the new portion of text to the particular document. 13. The computer system of claim 12 , where the one or more processors, when processing the particular portion of text by applying the first filter, are to: detect a quantity of repetitions of an n-gram in the particular portion of text, determine a total quantity of n-grams in the particular portion of text, determine a ratio of the quantity of repetitions of the n-gram to the total quantity of n-grams, and generate the first score based on the ratio. | 0.753247 |
9,465,996 | 1 | 7 | 1. A method for recording a media content event at a media device, the method comprising: receiving by the media device, the media content event in a broadcasted media content stream; recording the media content event by the media device; monitoring real time provided by a system clock of the media device; comparing the monitored real time with a closing credits monitor time; in response to detecting the monitored real time reaches the closing credits monitor time, grabbing a series of subsequently received image frames from the media content event that is being recorded after the monitored real time reaches the closing credits monitor time, wherein the closing credits monitor real time is a predefined duration before recording end time of the media content event; wherein for each of the grabbed subsequently received image frames, the method further comprising: analyzing by the media device, the image frame to identify text presented in the analyzed image frame; identifying by the media device, at least one attribute pertaining to the identified text; comparing by the media device, the at least one attribute with a corresponding predefined closing credits attribute, wherein the corresponding predefined closing credits attribute is stored in a memory medium; and determining that the identified text corresponds to closing credits of the media content event in response to the at least one attribute matches the corresponding predefined closing credits attribute; and initiating an end of the recording of the media content event in response to determining that the identified text corresponds to the closing credits of the media content event. | 1. A method for recording a media content event at a media device, the method comprising: receiving by the media device, the media content event in a broadcasted media content stream; recording the media content event by the media device; monitoring real time provided by a system clock of the media device; comparing the monitored real time with a closing credits monitor time; in response to detecting the monitored real time reaches the closing credits monitor time, grabbing a series of subsequently received image frames from the media content event that is being recorded after the monitored real time reaches the closing credits monitor time, wherein the closing credits monitor real time is a predefined duration before recording end time of the media content event; wherein for each of the grabbed subsequently received image frames, the method further comprising: analyzing by the media device, the image frame to identify text presented in the analyzed image frame; identifying by the media device, at least one attribute pertaining to the identified text; comparing by the media device, the at least one attribute with a corresponding predefined closing credits attribute, wherein the corresponding predefined closing credits attribute is stored in a memory medium; and determining that the identified text corresponds to closing credits of the media content event in response to the at least one attribute matches the corresponding predefined closing credits attribute; and initiating an end of the recording of the media content event in response to determining that the identified text corresponds to the closing credits of the media content event. 7. The method of claim 1 , wherein the at least one attribute is a color of the identified text and the corresponding predefined closing credits attribute is a predefined text color, and wherein determining that the identified text corresponds to the closing credits of the media content event comprises: determining that the identified text corresponds to the closing credits of the media content event if the color of the identified text matches the predefined text color. | 0.794449 |
8,046,223 | 6 | 11 | 6. The voice recognition system of claim 1 , wherein the voice recognition unit is further configured to calculate a first probability that the user's voice matches at least one of the voice patterns that belong to a first model, and a second probability that the user's voice matches one of the voice patterns that belong to a second model. | 6. The voice recognition system of claim 1 , wherein the voice recognition unit is further configured to calculate a first probability that the user's voice matches at least one of the voice patterns that belong to a first model, and a second probability that the user's voice matches one of the voice patterns that belong to a second model. 11. The voice recognition system of claim 6 , wherein the voice recognition unit is further configured to calculate a plurality of probabilities that the user's voice matches the voice patterns in the first model, and to select a highest probability from the plurality of probabilities as the first probability. | 0.906719 |
8,370,337 | 4 | 5 | 4. The one or more computer-readable media of claim 1 , wherein associating one or more click-based judgments with each of the one or more search results in the training set comprises: receiving click-based judgments from one or more human judges, wherein the click-based judgments correspond to user preferences regarding one or more of the plurality of search results in the training set. | 4. The one or more computer-readable media of claim 1 , wherein associating one or more click-based judgments with each of the one or more search results in the training set comprises: receiving click-based judgments from one or more human judges, wherein the click-based judgments correspond to user preferences regarding one or more of the plurality of search results in the training set. 5. The one or more computer-readable media of claim 4 , wherein receiving click-based judgments from one or more human judges comprises: presenting one or more human judges with the training set; and generating a corresponding set of click-based judgments based on feedback from one or more human judges regarding each of the one or more search results in the training set. | 0.893368 |
4,829,576 | 9 | 11 | 9. A text processing system comprising: means for representing a body of text having a sequence of characters which form a sequence of words; means for performing editing functions on said body of text; means for storing an acoustic description of each of a plurality of vocabulary words; means for receiving an acoustic description of one or more utterances to be recognized; recognition means for comparing the acoustic descriptions of the utterances to be recognized against the acoustic descriptions of a recognition vocabulary comprised of one or more of said vocabulary words to select which of the words of said recognition vocabulary most probably correspond to said one or more utterances; search string means for receiving the one or more vocabulary words determined by said recognition means as corresponding to said one or more utterances and for creating a search string out of them; matching means for searching at least a portion of said body of text for an occurrence of a sub-sequence of one or more words matching said search string; cursor storing means for storing the location of a cursor, that is, a movable location in said body of text at which certain text processing functions can be performed; and cursor setting means, responsive to said string matching means, for setting the location stored in said cursor storing means to one which points to said matching sub-sequence of one or more words. | 9. A text processing system comprising: means for representing a body of text having a sequence of characters which form a sequence of words; means for performing editing functions on said body of text; means for storing an acoustic description of each of a plurality of vocabulary words; means for receiving an acoustic description of one or more utterances to be recognized; recognition means for comparing the acoustic descriptions of the utterances to be recognized against the acoustic descriptions of a recognition vocabulary comprised of one or more of said vocabulary words to select which of the words of said recognition vocabulary most probably correspond to said one or more utterances; search string means for receiving the one or more vocabulary words determined by said recognition means as corresponding to said one or more utterances and for creating a search string out of them; matching means for searching at least a portion of said body of text for an occurrence of a sub-sequence of one or more words matching said search string; cursor storing means for storing the location of a cursor, that is, a movable location in said body of text at which certain text processing functions can be performed; and cursor setting means, responsive to said string matching means, for setting the location stored in said cursor storing means to one which points to said matching sub-sequence of one or more words. 11. A text processing system as described in claim 9 further including: old cursor storing means for storing a former location of said cursor; means for having the cursor location stored in said cursor storing means before that cursor location is changed by said cursor setting means in response to the operation of said string matching means, and for storing that saved cursor location in said old cursor storing means; means, controllable by a human operator, for placing the location stored in the old cursor storing means back in the cursor storing means. | 0.780956 |
9,317,596 | 18 | 19 | 18. The method of claim 1 wherein the semantic similarity module provides a degree of linking relationships between data of the heterogeneous data sources. | 18. The method of claim 1 wherein the semantic similarity module provides a degree of linking relationships between data of the heterogeneous data sources. 19. The method of claim 18 wherein the semantics similarity module conjugates verbs between the data of the heterogeneous data sources. | 0.947389 |
7,627,558 | 1 | 4 | 1. A computer-implemented method of searching a database embodied in a computer-readable storage medium, said database having a plurality of information objects, comprising: at a server computer coupled to the database and a client computer over a network: receiving from the client computer a first query with one or more keywords; determining that the one or more keywords are members of a predetermined master keyword list, wherein each member of the master keyword list has a relevance rating, wherein the relevance rating represents a degree of relevance between a keyword and an information object, wherein each of the one or more keywords is associated with at least a friend keyword in the master keyword list, wherein each keyword-friend pair in the master keyword list has an association score, wherein the association score represents a degree of association between a keyword and a friend keyword; retrieving friend keywords associated with the one or more keywords from a keyword-friend table stored in the database; automatically expanding the first query to a second query to include the one or more keywords and their friend keywords having association scores that meet or exceed a set value, wherein the second query includes at least one keyword that is not in the first query; searching the database using the second query; identifying from the plurality of information objects in the database a set of information objects that correspond to the one or more keywords and their friend keywords in the second query; and sending the set of information objects or a derivative thereof to the client computer. | 1. A computer-implemented method of searching a database embodied in a computer-readable storage medium, said database having a plurality of information objects, comprising: at a server computer coupled to the database and a client computer over a network: receiving from the client computer a first query with one or more keywords; determining that the one or more keywords are members of a predetermined master keyword list, wherein each member of the master keyword list has a relevance rating, wherein the relevance rating represents a degree of relevance between a keyword and an information object, wherein each of the one or more keywords is associated with at least a friend keyword in the master keyword list, wherein each keyword-friend pair in the master keyword list has an association score, wherein the association score represents a degree of association between a keyword and a friend keyword; retrieving friend keywords associated with the one or more keywords from a keyword-friend table stored in the database; automatically expanding the first query to a second query to include the one or more keywords and their friend keywords having association scores that meet or exceed a set value, wherein the second query includes at least one keyword that is not in the first query; searching the database using the second query; identifying from the plurality of information objects in the database a set of information objects that correspond to the one or more keywords and their friend keywords in the second query; and sending the set of information objects or a derivative thereof to the client computer. 4. The method of claim 1 , further comprising: at the server computer and prior to receiving the first query from the client computer: generating a list of keywords relevant to the plurality of information objects residing in the database; arranging the list of keywords into one or more hierarchies of keywords, each hierarchy defining a relationship between a keyword and its friend keywords within the hierarchy; and storing the one or more hierarchies of keywords in the database. | 0.601318 |
8,166,003 | 15 | 16 | 15. A computer-readable storage medium having computer-executable instructions stored thereon causing a computer to perform actions comprising: providing a single access point for accessing a plurality of versions of a document, each of said plurality of versions having associated permissions, the associated permissions including a security level and an authorized audience; receiving a document request at said single access point, said document request comprising an authorization level; determining which of the plurality of document versions of the document has a majority of previous document accesses; retrieving the document version of the document that has the majority of previous document accesses; after retrieving a most commonly accessed version of the document relating to the document request, comparing said authorization level with said associated security level and authorized audience permissions for each of said plurality of versions, wherein each of the plurality of the versions is uniquely identified by a combination of the documents name and the associated security level of the document version, wherein the security level indicates an audience allowed access to the document; and based on the comparing, accessing one of said plurality of versions corresponding to said document request. | 15. A computer-readable storage medium having computer-executable instructions stored thereon causing a computer to perform actions comprising: providing a single access point for accessing a plurality of versions of a document, each of said plurality of versions having associated permissions, the associated permissions including a security level and an authorized audience; receiving a document request at said single access point, said document request comprising an authorization level; determining which of the plurality of document versions of the document has a majority of previous document accesses; retrieving the document version of the document that has the majority of previous document accesses; after retrieving a most commonly accessed version of the document relating to the document request, comparing said authorization level with said associated security level and authorized audience permissions for each of said plurality of versions, wherein each of the plurality of the versions is uniquely identified by a combination of the documents name and the associated security level of the document version, wherein the security level indicates an audience allowed access to the document; and based on the comparing, accessing one of said plurality of versions corresponding to said document request. 16. The computer-readable storage medium of claim 15 , further comprising: determining the availability of each of said plurality of versions. | 0.909898 |
7,769,739 | 5 | 6 | 5. The method of claim 4 , further comprising: determining whether an entry for a given item is on the list of items when an accessing application accesses the given item; updating the entry if the given item is on the list of items; and adding an entry to the list of items if the given item is not on the list of items. | 5. The method of claim 4 , further comprising: determining whether an entry for a given item is on the list of items when an accessing application accesses the given item; updating the entry if the given item is on the list of items; and adding an entry to the list of items if the given item is not on the list of items. 6. The method of claim 5 , further comprising adding the entry to the list of items if another entry on the list of items is associated with the given item as accessed by another accessing application. | 0.921423 |
8,091,020 | 14 | 21 | 14. A computer readable medium having computer executable instructions for creating a hyperlinked table-of-contents in a frameset, comprising: creating a first frame and a second frame within the frameset, the first frame comprising a TOC document that is created in response to section headings of a target document and the second frame comprising the target document, wherein the TOC document and the target document are different documents; the target document being directly editable and having a first selected heading identifying a first section in the target document and a second selected heading identifying a second section in the target document; wherein the first section and the second section in the target document are non-contiguous sections of the same document; wherein the frameset is self-updating such that changes to the target document are automatically reflected within the TOC document; scanning the target document to locate the first and second selected headings; creating a first hyperlink entry in the TOC document that includes a first link that is associated with a first anchor in the target document, wherein the first anchor is positioned proximate to the first selected heading, and wherein triggering the first link causes the target document to reveal at least a portion of the first selected heading in the second frame; creating a second hyperlink entry in the TOC document that includes a second link that is associated with a second anchor in the target document, wherein the second anchor is positioned proximate to the second selected heading, and wherein triggering the second link causes the target document to reveal at least a portion of the second selected heading in the second frame; and automatically updating the first hyperlink entry in the TOC document in response to an update event without direct manual intervention; wherein the update event comprises printing the TOC document. | 14. A computer readable medium having computer executable instructions for creating a hyperlinked table-of-contents in a frameset, comprising: creating a first frame and a second frame within the frameset, the first frame comprising a TOC document that is created in response to section headings of a target document and the second frame comprising the target document, wherein the TOC document and the target document are different documents; the target document being directly editable and having a first selected heading identifying a first section in the target document and a second selected heading identifying a second section in the target document; wherein the first section and the second section in the target document are non-contiguous sections of the same document; wherein the frameset is self-updating such that changes to the target document are automatically reflected within the TOC document; scanning the target document to locate the first and second selected headings; creating a first hyperlink entry in the TOC document that includes a first link that is associated with a first anchor in the target document, wherein the first anchor is positioned proximate to the first selected heading, and wherein triggering the first link causes the target document to reveal at least a portion of the first selected heading in the second frame; creating a second hyperlink entry in the TOC document that includes a second link that is associated with a second anchor in the target document, wherein the second anchor is positioned proximate to the second selected heading, and wherein triggering the second link causes the target document to reveal at least a portion of the second selected heading in the second frame; and automatically updating the first hyperlink entry in the TOC document in response to an update event without direct manual intervention; wherein the update event comprises printing the TOC document. 21. The computer readable medium of claim 14 , wherein updating the first hyperlink entry in the TOC document in response to the update event comprises: scanning the target document; creating an updated hyperlink entry in the TOC document that includes the change to the first selected heading; and inserting an anchor for the updated hyperlink entry into the target document. | 0.539216 |
8,352,878 | 11 | 16 | 11. A computer program product for providing a navigation environment for a user to navigate a long list of selectable elements spanning at least two pages of a computer display, the computer program product comprising a tangible computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising: computer readable program code configured to provide a scrollable context menu; computer readable program code configured to determine whether at least one element has been selected on a page in a previous view; when at least one element is determined to have been selected in said previous view, computer readable program code configured to provide a first visual aid on said scrollable context menu to indicate said at least one element selected in said previous view; computer readable program code configured to determine whether at least one element has been selected on a page in a next view; when at least one element is determined to have been selected in said next view, computer readable program code configured to provide a second visual aid on said scrollable context menu to indicate said at least one element has been selected in said next view; computer readable program code configured to position a third visual aid on said scrollable context menu comprising a numerical count of a total number of elements selected in said previous view; and computer readable program code configured to position a fourth visual aid on said scrollable context menu comprising a numerical count of a total number of elements selected in said next view. | 11. A computer program product for providing a navigation environment for a user to navigate a long list of selectable elements spanning at least two pages of a computer display, the computer program product comprising a tangible computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising: computer readable program code configured to provide a scrollable context menu; computer readable program code configured to determine whether at least one element has been selected on a page in a previous view; when at least one element is determined to have been selected in said previous view, computer readable program code configured to provide a first visual aid on said scrollable context menu to indicate said at least one element selected in said previous view; computer readable program code configured to determine whether at least one element has been selected on a page in a next view; when at least one element is determined to have been selected in said next view, computer readable program code configured to provide a second visual aid on said scrollable context menu to indicate said at least one element has been selected in said next view; computer readable program code configured to position a third visual aid on said scrollable context menu comprising a numerical count of a total number of elements selected in said previous view; and computer readable program code configured to position a fourth visual aid on said scrollable context menu comprising a numerical count of a total number of elements selected in said next view. 16. The computer program product of claim 11 , further comprising computer readable program code configured to display a second list comprising all elements in said total number of elements selected in said next view by placing a cursor over said second visual aid on said scrollable context menu. | 0.540248 |
9,195,661 | 11 | 15 | 11. An automated computer implemented method comprising: receiving, by a processor, an insertion request from within a receiving document; receiving, in response to said insertion request, a pixelated image document by said processor; identifying, by said processor, from said image document a map set of pixel coordinates defining the position of a select image portion on said image document; deconstructing said select image portion, by said processor, into subunits and associating said subunits with a subunit map set of pixel coordinates; converting said select image portion to data in a standard format; reviewing automatically, by said processor, a history of prior data previously collected from prior image documents; searching said history of prior data previously collected, wherein said data is mapped and collected to a collection system based on said prior data by: creating a unique pointer, by said processor, to said image document as a result of defining the position of said select image portion associated with said map set of pixel coordinates, and storing, in a database, said unique pointer and said deconstructed subunits in association with said subunit map set of pixel coordinates to said image document; incorporating, by said processor, into said receiving document said unique pointer and a representation of said deconstructed subunits; providing from said receiving document access to said select image at said subunit map set of pixel coordinates of said image document at a later time. | 11. An automated computer implemented method comprising: receiving, by a processor, an insertion request from within a receiving document; receiving, in response to said insertion request, a pixelated image document by said processor; identifying, by said processor, from said image document a map set of pixel coordinates defining the position of a select image portion on said image document; deconstructing said select image portion, by said processor, into subunits and associating said subunits with a subunit map set of pixel coordinates; converting said select image portion to data in a standard format; reviewing automatically, by said processor, a history of prior data previously collected from prior image documents; searching said history of prior data previously collected, wherein said data is mapped and collected to a collection system based on said prior data by: creating a unique pointer, by said processor, to said image document as a result of defining the position of said select image portion associated with said map set of pixel coordinates, and storing, in a database, said unique pointer and said deconstructed subunits in association with said subunit map set of pixel coordinates to said image document; incorporating, by said processor, into said receiving document said unique pointer and a representation of said deconstructed subunits; providing from said receiving document access to said select image at said subunit map set of pixel coordinates of said image document at a later time. 15. The automated computer implemented method of claim 11 wherein the deconstructed subunits are characters. | 0.75 |
9,275,022 | 22 | 23 | 22. A system for rendering a document stored on a cloud computing service, the system comprising: a cloud computing service, wherein the cloud computing service is configured to: communicate with a plurality of client computers over a communication network; store a document on the cloud computing service; store a rendering function for rendering the document, wherein the rendering function comprises instructions to: determine a maximum height of a portion of text in the document; insert into the portion of text a spacer element with a height greater than the maximum height of the portion of text; adjust, by an offset, a vertical position of the portion of text and the spacer element, wherein a baseline of the portion of text is determined from the height of the spacer element and the offset; and render the portion of text on the web browser based at least in part on the baseline; and send the document and the rendering function to a first client computer in the plurality of client computers. | 22. A system for rendering a document stored on a cloud computing service, the system comprising: a cloud computing service, wherein the cloud computing service is configured to: communicate with a plurality of client computers over a communication network; store a document on the cloud computing service; store a rendering function for rendering the document, wherein the rendering function comprises instructions to: determine a maximum height of a portion of text in the document; insert into the portion of text a spacer element with a height greater than the maximum height of the portion of text; adjust, by an offset, a vertical position of the portion of text and the spacer element, wherein a baseline of the portion of text is determined from the height of the spacer element and the offset; and render the portion of text on the web browser based at least in part on the baseline; and send the document and the rendering function to a first client computer in the plurality of client computers. 23. The system of claim 22 , wherein the portion of text is a single line of text. | 0.74375 |
8,041,568 | 5 | 7 | 5. The method of claim 1 , further comprising, after recognizing the identifier of the specific business, providing information about the specific business to the user. | 5. The method of claim 1 , further comprising, after recognizing the identifier of the specific business, providing information about the specific business to the user. 7. The method of claim 5 wherein providing information about the specific business comprises providing a list of business names based on the recognition of the identifier of the specific business. | 0.844937 |
9,262,391 | 16 | 17 | 16. The processing system according to claim 15 , wherein the real-time transmission of the presentation includes an annotation from a remote annotation device that is located remotely to the processing system. | 16. The processing system according to claim 15 , wherein the real-time transmission of the presentation includes an annotation from a remote annotation device that is located remotely to the processing system. 17. The processing system according to claim 16 , wherein the source of the real-time transmission is another processing system that is connected to the processing system by a network adapter. | 0.939241 |
7,761,844 | 11 | 13 | 11. The system of claim 1 , further comprising predefined service types that are selectable for service modeling. | 11. The system of claim 1 , further comprising predefined service types that are selectable for service modeling. 13. The system of claim 11 , wherein the template storage includes at least one dedicated template for each service type. | 0.952325 |
8,436,755 | 22 | 26 | 22. A decoder for decoding an encoded bitstream to obtain a sequence of symbols, the symbols belonging to a finite alphabet, wherein a context model specifies a predefined probability set, and wherein each symbol of the sequence of symbols is associated with a probability from the predefined probability set on the basis of the context model, the decoder comprising: a memory; a processor; a decoding application executable by the processor and which, when executed, configures the processor to read, from the bitstream, information identifying a new probability set, wherein the new probability set is not identical to the predefined probability set; assign, to each of the symbols of the sequence of symbols, a respective probability from the new probability set based upon a mapping, wherein the mapping maps each of the probabilities of the predefined probability set to a respective one of the probabilities from the new probability set; and entropy decode the encoded bitstream on the basis of their respective assigned probabilities from the new probability set. | 22. A decoder for decoding an encoded bitstream to obtain a sequence of symbols, the symbols belonging to a finite alphabet, wherein a context model specifies a predefined probability set, and wherein each symbol of the sequence of symbols is associated with a probability from the predefined probability set on the basis of the context model, the decoder comprising: a memory; a processor; a decoding application executable by the processor and which, when executed, configures the processor to read, from the bitstream, information identifying a new probability set, wherein the new probability set is not identical to the predefined probability set; assign, to each of the symbols of the sequence of symbols, a respective probability from the new probability set based upon a mapping, wherein the mapping maps each of the probabilities of the predefined probability set to a respective one of the probabilities from the new probability set; and entropy decode the encoded bitstream on the basis of their respective assigned probabilities from the new probability set. 26. The decoder claimed in claim 22 , wherein the information identifying the new probability set specifies the probabilities from the predefined probability set that are included in the new probability set. | 0.73995 |
7,539,343 | 19 | 20 | 19. The medium of claim 18 , having further instructions for executing the instructions for defining a tessellated set of regions, classifying each tessellated region for each of plurality of digital images, and wherein: The instructions for linking tessellated regions include instructions for linking tessellated regions classified as containing text based on a shared word or phrase where one or more linked pair of tessellated regions are defined on two different digital images from among the plurality of digital images; and wherein the instructions for defining a logical text flow include instructions for defining a logical text flow among at least some of the linked tessellated regions where the logical text flow spans between two or more of the plurality of digital images. | 19. The medium of claim 18 , having further instructions for executing the instructions for defining a tessellated set of regions, classifying each tessellated region for each of plurality of digital images, and wherein: The instructions for linking tessellated regions include instructions for linking tessellated regions classified as containing text based on a shared word or phrase where one or more linked pair of tessellated regions are defined on two different digital images from among the plurality of digital images; and wherein the instructions for defining a logical text flow include instructions for defining a logical text flow among at least some of the linked tessellated regions where the logical text flow spans between two or more of the plurality of digital images. 20. The medium of claim 19 ,wherein the instructions for automatically assembling include instructions for automatically assembling a digital document from the plurality of digital images, the digital document including text from the tessellated regions classified as containing text, a page layout that defines the placement of the text, data representative of the logical text flow. | 0.756036 |
7,761,447 | 19 | 20 | 19. The system of claim 18 , wherein the search is scoped over one or more of at least a message core, a complete message body, all messages in the thread, or all messages in a sub tree with a particular posting as a root. | 19. The system of claim 18 , wherein the search is scoped over one or more of at least a message core, a complete message body, all messages in the thread, or all messages in a sub tree with a particular posting as a root. 20. The system of claim 19 , wherein the one or more feature-based relevance functions utilize one or more of text-based relevance scores for respective scoping. | 0.966818 |
7,565,350 | 13 | 14 | 13. A web page classification method, comprising: classifying, via a processor, a plurality of web pages, each as being a blog page or not based on at least one extracted feature that comprises a count of the number of occurrences of a blog-related word in the web page, a first uniform resource locator (URL) corresponding to the host of the web page, a second URL contained inside the web page that is indicative of a hyperlink to a blog site, at least one substring that is a part of the first URL, and whether the web page contains an ATOM feed or an RSS feed, the feature extractor further configured for extracting the contents of the web page and generating therefrom a set of observed values, wherein each observed value is associated with a feature in the web page that provides an indication that the web page is a blog page, the set of observed values including a first observed value that is generated based on the number of occurrences in the web page of a non-markup word indicative of a blog, the classifying comprising application of i) a heavier classifier weight to the first URL than to the second URL contained inside the web page, and ii) a heavier classifier weight to the second URL than the substring that is a part of the first URL; forming a set of web pages that are classified as being a blog page; and identifying a top level blog in the set of web pages. | 13. A web page classification method, comprising: classifying, via a processor, a plurality of web pages, each as being a blog page or not based on at least one extracted feature that comprises a count of the number of occurrences of a blog-related word in the web page, a first uniform resource locator (URL) corresponding to the host of the web page, a second URL contained inside the web page that is indicative of a hyperlink to a blog site, at least one substring that is a part of the first URL, and whether the web page contains an ATOM feed or an RSS feed, the feature extractor further configured for extracting the contents of the web page and generating therefrom a set of observed values, wherein each observed value is associated with a feature in the web page that provides an indication that the web page is a blog page, the set of observed values including a first observed value that is generated based on the number of occurrences in the web page of a non-markup word indicative of a blog, the classifying comprising application of i) a heavier classifier weight to the first URL than to the second URL contained inside the web page, and ii) a heavier classifier weight to the second URL than the substring that is a part of the first URL; forming a set of web pages that are classified as being a blog page; and identifying a top level blog in the set of web pages. 14. The method of claim 13 , further comprising lexigraphically sorting the uniform resource locators (URLs) of each of the web pages in the set. | 0.791066 |
9,813,772 | 11 | 14 | 11. A system for generating for simultaneous display media guidance data in at least two languages, the system comprising: a user input device; and a program guide equipment including a control circuitry, wherein the control circuitry is configured to: receive, from the user input device, a user selection of a preferred language for interacting with an interactive media guidance application; and subsequent to receiving the user selection of the preferred language: receive, from the user input device, an indication to generate for simultaneous display a first media guidance data relating to a first program and a second media guidance data relating to a second program; determine that the first media guidance data is available in the preferred language, and that the second media guidance data is not available in the preferred language, wherein the second media guidance data is available in an alternate language; and based on the determination that the first media guidance data is available in the preferred language, and that the second media guidance data is not available in the preferred language, generate for simultaneous display, the first media guidance data in the preferred language, and the second media guidance data in the alternate language. | 11. A system for generating for simultaneous display media guidance data in at least two languages, the system comprising: a user input device; and a program guide equipment including a control circuitry, wherein the control circuitry is configured to: receive, from the user input device, a user selection of a preferred language for interacting with an interactive media guidance application; and subsequent to receiving the user selection of the preferred language: receive, from the user input device, an indication to generate for simultaneous display a first media guidance data relating to a first program and a second media guidance data relating to a second program; determine that the first media guidance data is available in the preferred language, and that the second media guidance data is not available in the preferred language, wherein the second media guidance data is available in an alternate language; and based on the determination that the first media guidance data is available in the preferred language, and that the second media guidance data is not available in the preferred language, generate for simultaneous display, the first media guidance data in the preferred language, and the second media guidance data in the alternate language. 14. The system of claim 11 , wherein the program guide equipment comprises at least one of user television equipment and program guide distribution equipment. | 0.878086 |
9,584,696 | 15 | 16 | 15. A system, comprising: a central processing unit; memory; input-output circuitry; and an image sensor, comprising: an embedded data engine that produces a plurality of bits of embedded data; image processing circuitry that reads out at least one data word from the image sensor; arithmetic circuitry that modifies a first subset of the at least one data word in response to determining whether a selected second subset of the data word is identical to a respective subset of the plurality of bits of embedded data; and output circuitry that produces an output data word based on the at least one data word, wherein the output data word comprises the subset of the plurality of bits of embedded data. | 15. A system, comprising: a central processing unit; memory; input-output circuitry; and an image sensor, comprising: an embedded data engine that produces a plurality of bits of embedded data; image processing circuitry that reads out at least one data word from the image sensor; arithmetic circuitry that modifies a first subset of the at least one data word in response to determining whether a selected second subset of the data word is identical to a respective subset of the plurality of bits of embedded data; and output circuitry that produces an output data word based on the at least one data word, wherein the output data word comprises the subset of the plurality of bits of embedded data. 16. The system defined in claim 15 , wherein the subset of the plurality of bits of embedded data comprises the most significant bits of the output data word. | 0.848659 |
9,514,194 | 5 | 7 | 5. A system, comprising: a data processing apparatus; and a computer readable storage device storing instructions executable by the data processing apparatus and that upon such execution cause the data processing apparatus to perform operations comprising: for each website of a plurality of websites, each website being a collection of resources served from a domain: obtaining, by the data processing apparatus, duration measurements of user device visits to resources of the website for a plurality of different users, each duration measurement being a duration of time that elapses between a user device requesting the resource and the user device requesting another resource; determining a web site duration score that is proportional to duration measurements for the web site; obtaining, by the data processing apparatus, data describing a plurality of categories to which the website belongs; determining, by the data processing apparatus, for each category of the plurality of categories to which the website belongs, a category duration score for the category based on the website duration score for the website; and determining, by the data processing apparatus, from one or more of the category duration scores, a duration performance score for the web site, the duration performance score proportional to the one or more category duration scores from which the duration performance score is determined, the determining the duration performance score comprising, for the website: determining a first count of category duration scores that meet a threshold; determining a second count of a total number of category duration scores for the website; and determining the duration performance score based on the first count and the second count; and wherein, for each web site: the data describing a plurality of categories to which the website belongs includes, for each category, a category weight that is a measure of strength of association of the category to the website; and for each category, determining the category duration score further comprises determining the category duration score based on the category duration score and the category weight. | 5. A system, comprising: a data processing apparatus; and a computer readable storage device storing instructions executable by the data processing apparatus and that upon such execution cause the data processing apparatus to perform operations comprising: for each website of a plurality of websites, each website being a collection of resources served from a domain: obtaining, by the data processing apparatus, duration measurements of user device visits to resources of the website for a plurality of different users, each duration measurement being a duration of time that elapses between a user device requesting the resource and the user device requesting another resource; determining a web site duration score that is proportional to duration measurements for the web site; obtaining, by the data processing apparatus, data describing a plurality of categories to which the website belongs; determining, by the data processing apparatus, for each category of the plurality of categories to which the website belongs, a category duration score for the category based on the website duration score for the website; and determining, by the data processing apparatus, from one or more of the category duration scores, a duration performance score for the web site, the duration performance score proportional to the one or more category duration scores from which the duration performance score is determined, the determining the duration performance score comprising, for the website: determining a first count of category duration scores that meet a threshold; determining a second count of a total number of category duration scores for the website; and determining the duration performance score based on the first count and the second count; and wherein, for each web site: the data describing a plurality of categories to which the website belongs includes, for each category, a category weight that is a measure of strength of association of the category to the website; and for each category, determining the category duration score further comprises determining the category duration score based on the category duration score and the category weight. 7. The system of claim 5 , wherein determining, for each of the plurality of categories to which the website belongs, the category duration score for the category based on the website duration score for the website, comprises discounting each duration measurement generated in response to a user device requesting a resource from the website and requesting a resource from another, different website. | 0.501247 |
7,685,104 | 1 | 7 | 1. A method for managing execution of a query against data of a database, comprising: receiving a current query against the data of the database, the current query including a plurality of query conditions; for the plurality of query conditions: determining whether any previously generated dynamic bitmap index can be re-used for the query, the previously generated dynamic bitmap index having been previously generated to satisfy a previous query executed against the data of the database, wherein a first and a second query condition of the plurality of query conditions are connected by an operator and wherein the dynamic bitmap index is a combination, according to the operator, of (i) a first dynamic bitmap index generated for a query condition related to the first query condition and (ii) a second dynamic bitmap index generated for a query condition related to the second query condition; and retrieving the previously generated dynamic bitmap index; and determining a query result for the current query using only the retrieved previously generated dynamic bitmap index; and if no previously generated dynamic bitmap index can be re-used, for the plurality of query conditions: generating a dynamic bitmap index for a combination of at least two query conditions of the plurality of query conditions connected by at least one operator; and storing the generated dynamic bitmap index for retrieval in execution of a subsequent query having a subsequent related query condition. | 1. A method for managing execution of a query against data of a database, comprising: receiving a current query against the data of the database, the current query including a plurality of query conditions; for the plurality of query conditions: determining whether any previously generated dynamic bitmap index can be re-used for the query, the previously generated dynamic bitmap index having been previously generated to satisfy a previous query executed against the data of the database, wherein a first and a second query condition of the plurality of query conditions are connected by an operator and wherein the dynamic bitmap index is a combination, according to the operator, of (i) a first dynamic bitmap index generated for a query condition related to the first query condition and (ii) a second dynamic bitmap index generated for a query condition related to the second query condition; and retrieving the previously generated dynamic bitmap index; and determining a query result for the current query using only the retrieved previously generated dynamic bitmap index; and if no previously generated dynamic bitmap index can be re-used, for the plurality of query conditions: generating a dynamic bitmap index for a combination of at least two query conditions of the plurality of query conditions connected by at least one operator; and storing the generated dynamic bitmap index for retrieval in execution of a subsequent query having a subsequent related query condition. 7. The method of claim 1 , further comprising, prior to storing the generated dynamic bitmap index: determining whether a required storage capacity for all stored dynamic bitmap indexes exceeds a predetermined threshold; and storing the generated dynamic bitmap index only if the required storage capacity does not exceed the predetermined threshold. | 0.774194 |
6,073,142 | 1 | 6 | 1. A post office for receiving and redistributing e-mail messages on a computer network, the post office comprising: a receipt mechanism that receives an e-mail message from a sender, the e-mail message having at least one specified recipient; a database of business rules, each business rule specifying an action for controlling the delivery of an e-mail message as a function of an attribute of the e-mail message; a rule engine coupled to receive an e-mail message from the receipt mechanism and coupled to the database to selectively apply the business rules to the e-mail message to determine from selected ones of the business rules a set of actions to be applied to the e-mail message; and a distribution mechanism coupled to receive the set of actions from the rule engine and apply at least one action thereof to the e-mail message to control delivery of the e-mail message and which in response to the rule engine applying an action of deferring delivery of the e-mail message, the distribution engine automatically combines the e-mail message with a new distribution list specifying at least one destination post office for receiving the e-mail message for review by an administrator associated with the destination post office, and a rule history specifying the business rules that were determined to be applicable to the e-mail message by at least one rule engine, and automatically delivers the e-mail message to a first destination post office on the distribution list instead of a specified recipient of the e-mail message. | 1. A post office for receiving and redistributing e-mail messages on a computer network, the post office comprising: a receipt mechanism that receives an e-mail message from a sender, the e-mail message having at least one specified recipient; a database of business rules, each business rule specifying an action for controlling the delivery of an e-mail message as a function of an attribute of the e-mail message; a rule engine coupled to receive an e-mail message from the receipt mechanism and coupled to the database to selectively apply the business rules to the e-mail message to determine from selected ones of the business rules a set of actions to be applied to the e-mail message; and a distribution mechanism coupled to receive the set of actions from the rule engine and apply at least one action thereof to the e-mail message to control delivery of the e-mail message and which in response to the rule engine applying an action of deferring delivery of the e-mail message, the distribution engine automatically combines the e-mail message with a new distribution list specifying at least one destination post office for receiving the e-mail message for review by an administrator associated with the destination post office, and a rule history specifying the business rules that were determined to be applicable to the e-mail message by at least one rule engine, and automatically delivers the e-mail message to a first destination post office on the distribution list instead of a specified recipient of the e-mail message. 6. The post office of claim 1, further comprising: a primary message store, coupled to the receipt engine, for receiving and non-persistently storing e-mail messages; and a secondary message store, accessible to the distribution engine, for receiving therefrom, and persistently storing an e-mail message in response to the rule engine determining that the e-mail message satisfied a business rule requiring the e-mail message to be reviewed by a recipient other than a recipient specified by a sender of the e-mail message. | 0.500952 |
8,751,507 | 4 | 5 | 4. A computer-implemented method of providing item recommendations to a target user, the method comprising: by a computer system comprising computer hardware, the computer system configured to generate recommendations by at least: by a computer system comprising computer hardware, the computer system configured to generate recommendations by at least: providing a user interface that provides functionality for users of an electronic catalog of items to create and assign arbitrary textual tags to individual items represented in the electronic catalog after selecting said items, such that the textual tags categorize the items represented in the electronic catalog, the user interface comprising a tag entry field on item detail pages of the electronic catalog, the tag entry field enabling the users to create the tags via entry of text strings into the tag entry field; programmatically identifying at least one tagged item that was selected by a target user, the at least one tagged item being represented in the electronic catalog, without receiving a designation from the target user of the at least one tagged item; subsequent to and in response to said identifying, selecting one or more user-defined textual tags associated with the at least one tagged item by at least identifying a threshold number of most popular tags assigned to the at least one tagged item, without any input from the target user, each tag comprising a descriptor selectively associated with the at least one tagged item by one or more users; subsequent to said selecting the one or more user-defined tags, automatically searching the electronic catalog using the one or more tags as one or more keywords to identify a corresponding set of related items; selecting at least a portion of the set of related items to provide as the recommendations to the target user; and outputting the recommendations with associated textual reasons for recommending the items. | 4. A computer-implemented method of providing item recommendations to a target user, the method comprising: by a computer system comprising computer hardware, the computer system configured to generate recommendations by at least: by a computer system comprising computer hardware, the computer system configured to generate recommendations by at least: providing a user interface that provides functionality for users of an electronic catalog of items to create and assign arbitrary textual tags to individual items represented in the electronic catalog after selecting said items, such that the textual tags categorize the items represented in the electronic catalog, the user interface comprising a tag entry field on item detail pages of the electronic catalog, the tag entry field enabling the users to create the tags via entry of text strings into the tag entry field; programmatically identifying at least one tagged item that was selected by a target user, the at least one tagged item being represented in the electronic catalog, without receiving a designation from the target user of the at least one tagged item; subsequent to and in response to said identifying, selecting one or more user-defined textual tags associated with the at least one tagged item by at least identifying a threshold number of most popular tags assigned to the at least one tagged item, without any input from the target user, each tag comprising a descriptor selectively associated with the at least one tagged item by one or more users; subsequent to said selecting the one or more user-defined tags, automatically searching the electronic catalog using the one or more tags as one or more keywords to identify a corresponding set of related items; selecting at least a portion of the set of related items to provide as the recommendations to the target user; and outputting the recommendations with associated textual reasons for recommending the items. 5. The method of claim 4 , wherein the at least one tagged item selected by the target user comprises an item purchased by the target user. | 0.655941 |
7,991,129 | 28 | 32 | 28. A system for providing a service for delivering information over a communications network, comprising: storage for maintaining a record identifiable by data representing a user, the record containing user defined voice preferences for delivering information in one of a plurality of automated voices, said user defined voice preferences being associated with one or more different services, aspects of a service or combination of services and aspects of a service, respectively; an interface for receiving a call from the user, along with the data, through the communications network, the call including a request for the service for delivering selected information, the selected information being determined in response to the request, the record being retrieved based at least on the received data; a processor programmed to determine from the record an automated voice preference associated with the characteristics of the information being delivered; and a server for generating an automated voice in accordance with the user defined voice preference to deliver the selected information from said requested service. | 28. A system for providing a service for delivering information over a communications network, comprising: storage for maintaining a record identifiable by data representing a user, the record containing user defined voice preferences for delivering information in one of a plurality of automated voices, said user defined voice preferences being associated with one or more different services, aspects of a service or combination of services and aspects of a service, respectively; an interface for receiving a call from the user, along with the data, through the communications network, the call including a request for the service for delivering selected information, the selected information being determined in response to the request, the record being retrieved based at least on the received data; a processor programmed to determine from the record an automated voice preference associated with the characteristics of the information being delivered; and a server for generating an automated voice in accordance with the user defined voice preference to deliver the selected information from said requested service. 32. The system of claim 28 , wherein the characteristics of the information being delivered is a function of the service. | 0.648256 |
10,127,927 | 22 | 26 | 22. The system of claim 14 , wherein the method further comprises: receiving one or more test speech samples; generating a set of test data by extracting one or more acoustic features from every frame of the one or more test speech samples; transforming the set of test data into transformed data using the PLDA model to capture emotion and/or speaking style in the transformed data; and using the transformed data for clustering and/or classification to discover speech with emotion or speaking styles similar to that captured in the transformed data. | 22. The system of claim 14 , wherein the method further comprises: receiving one or more test speech samples; generating a set of test data by extracting one or more acoustic features from every frame of the one or more test speech samples; transforming the set of test data into transformed data using the PLDA model to capture emotion and/or speaking style in the transformed data; and using the transformed data for clustering and/or classification to discover speech with emotion or speaking styles similar to that captured in the transformed data. 26. The system of claim 22 , wherein using the transformed data for clustering and/or classification to discover speech with similar emotion or speaking styles that captured in the transformed data includes: training one or more emotional speech models from scratch using the transformed data; and performing speech recognition using the one or more trained emotional models. | 0.774096 |
8,249,856 | 10 | 18 | 10. A method for computer-assisted translation from a source language to a target language, the method comprising: accepting a plurality of rules, each rule forming an association between a representation of a sequence of source language tokens with a corresponding tree-based structure in the target language, wherein the tree-based structure for each rule satisfies a tree-based constraint and includes at least one target language token associated with one or more source language tokens in the sequence of source language tokens for the rule; and decoding, using a computer, an input sequence of source tokens according to the plurality of rules to generate a representation of one or more output sequences of target language tokens, including for each of at least some sub-sequences of the input sequence of source tokens, determining a tree-based structure associated with the sub-sequence according to a match to one of the plurality of rules, and for each of at least some sub-sequences of the input sequence of source tokens, selecting for combination a subset of determined tree-based structures, each associated with a sub-sequence, such that a tree-based structure formed as a combination of the subset of partial trees satisfies the tree-based constraint, and determining the tree-based structure as the combination of the selected subset of tree-based structures. | 10. A method for computer-assisted translation from a source language to a target language, the method comprising: accepting a plurality of rules, each rule forming an association between a representation of a sequence of source language tokens with a corresponding tree-based structure in the target language, wherein the tree-based structure for each rule satisfies a tree-based constraint and includes at least one target language token associated with one or more source language tokens in the sequence of source language tokens for the rule; and decoding, using a computer, an input sequence of source tokens according to the plurality of rules to generate a representation of one or more output sequences of target language tokens, including for each of at least some sub-sequences of the input sequence of source tokens, determining a tree-based structure associated with the sub-sequence according to a match to one of the plurality of rules, and for each of at least some sub-sequences of the input sequence of source tokens, selecting for combination a subset of determined tree-based structures, each associated with a sub-sequence, such that a tree-based structure formed as a combination of the subset of partial trees satisfies the tree-based constraint, and determining the tree-based structure as the combination of the selected subset of tree-based structures. 18. The method of claim 10 wherein each rule of the plurality of rules forms a direct association between the sequence of source language tokens and the corresponding tree-based structure in the target language. | 0.67236 |
9,761,219 | 1 | 2 | 1. A system for distributed text-to-speech synthesis comprising: a guest device configured for transmitting text input in the form of a text string; a host device configured to receive the text string and process the text string by converting the text string to an audio index representation of an audio file associated with the text string, the host device comprising: a text analyzer configurable to process the text string to produce phonetic information and linguistic information; a prosody analyzer configurable to generate prosodic information based on at least the phonetic information and linguistic information, wherein the converting at the host device being based on at least the phonetic information and prosodic information, and includes identifying audio units from a first audio unit synthesis inventory on the host device, wherein the guest device comprises: a second audio unit synthesis inventory where audio units are selected from and selection of audio units from the second audio unit synthesis inventory being based on the audio index representation sent from the host device; and a unit-concatenative module for concatenating the selected audio units. | 1. A system for distributed text-to-speech synthesis comprising: a guest device configured for transmitting text input in the form of a text string; a host device configured to receive the text string and process the text string by converting the text string to an audio index representation of an audio file associated with the text string, the host device comprising: a text analyzer configurable to process the text string to produce phonetic information and linguistic information; a prosody analyzer configurable to generate prosodic information based on at least the phonetic information and linguistic information, wherein the converting at the host device being based on at least the phonetic information and prosodic information, and includes identifying audio units from a first audio unit synthesis inventory on the host device, wherein the guest device comprises: a second audio unit synthesis inventory where audio units are selected from and selection of audio units from the second audio unit synthesis inventory being based on the audio index representation sent from the host device; and a unit-concatenative module for concatenating the selected audio units. 2. The system as recited in claim 1 wherein the host device and the guest device are in communication with each other, the host device adapted to receive a text input in a form of text string from either the guest device or any other source; the host device having a unit-selection module configured to create an audio index representation of an audio file from the text string on the host device and to convert the text string to an audio index representation of an audio file associated with the text string at a text-to-speech synthesizer, the unit-selection module being arranged to identify audio units from the first audio unit synthesis inventory, the identified audio units forming the audio file, the identified audio units being represented by the audio index representation. | 0.500636 |
8,571,923 | 1 | 4 | 1. A system, which includes a processor operatively coupled to computer storage media, for providing online advertising, the system comprising: a reception module that intercepts a search query bound for a search engine, wherein the search query includes a keyword, and wherein the reception module determines whether the search query includes a designated format; a reference module that accesses a one-to-one mapping stored on the computer storage media that associates the keyword with an Internet protocol (IP) address of an advertisement provider, wherein the search query is routed to the reference module when the search query is deemed to include the designated format, wherein the reference module identifies the IP address by leveraging the processor to reference the keyword in the one-to-one mapping; a direction module in communication with the reference module that sends an advertisement request to the IP address of the advertisement provider when the reference module identifies the IP address; and a search engine that receives the search query from the reception module when the search query is deemed to not include the designated format. | 1. A system, which includes a processor operatively coupled to computer storage media, for providing online advertising, the system comprising: a reception module that intercepts a search query bound for a search engine, wherein the search query includes a keyword, and wherein the reception module determines whether the search query includes a designated format; a reference module that accesses a one-to-one mapping stored on the computer storage media that associates the keyword with an Internet protocol (IP) address of an advertisement provider, wherein the search query is routed to the reference module when the search query is deemed to include the designated format, wherein the reference module identifies the IP address by leveraging the processor to reference the keyword in the one-to-one mapping; a direction module in communication with the reference module that sends an advertisement request to the IP address of the advertisement provider when the reference module identifies the IP address; and a search engine that receives the search query from the reception module when the search query is deemed to not include the designated format. 4. The system of claim 1 , wherein the search query includes a set of predetermined text, which triggers the system to provide the advertisement. | 0.513423 |
7,668,340 | 1 | 5 | 1. A control method, comprising the steps of: storing, in a memory, information relating to a plurality of gestures, the stored information including a plurality of geometric templates associated with static gestures and a plurality of dynamic models associated with dynamic gestures; receiving information from an image sensor about the position, orientation or x-y movement of a gesture-making target; and providing at least one processor to perform the following operations: a) identify the gesture as a static gesture or no gesture if the x-y movement is below a threshold amount, or identify the gesture as a dynamic gesture if the x-y movement is above the threshold amount; b) compare the position or orientation information of the gesture-making target to the geometric templates to determine if a particular static gesture is being made or, if the gesture is identified as a dynamic gesture, compare the position, orientation or x-y movement information to the stored dynamic models to determine if a particular dynamic gesture is being made; and c) output a control signal if a particular static or dynamic gesture is determined to control a computer or machine. | 1. A control method, comprising the steps of: storing, in a memory, information relating to a plurality of gestures, the stored information including a plurality of geometric templates associated with static gestures and a plurality of dynamic models associated with dynamic gestures; receiving information from an image sensor about the position, orientation or x-y movement of a gesture-making target; and providing at least one processor to perform the following operations: a) identify the gesture as a static gesture or no gesture if the x-y movement is below a threshold amount, or identify the gesture as a dynamic gesture if the x-y movement is above the threshold amount; b) compare the position or orientation information of the gesture-making target to the geometric templates to determine if a particular static gesture is being made or, if the gesture is identified as a dynamic gesture, compare the position, orientation or x-y movement information to the stored dynamic models to determine if a particular dynamic gesture is being made; and c) output a control signal if a particular static or dynamic gesture is determined to control a computer or machine. 5. The method of claim 1 , wherein at least a portion of the information received about the position, orientation or x-y movement of the gesture-making target is derived by imaging the target. | 0.545024 |
9,454,623 | 17 | 18 | 17. An apparatus for social review of computer aided design (CAD) projects, comprising: a processor; a memory coupled to the processor and configured to store executable instructions for execution by the processor, the executable instructions including instructions for: a social collaboration application configured to communicate with other social collaboration applications on other apparatus; a CAD application separate from the social collaboration application, the CAD application configured to display a view of a CAD model to a first user; an abstraction layer associated with the CAD application, the abstraction layer configured to establish a connection with the social collaboration application on the apparatus, in response to selection of interface elements in the CAD application by a first user, cause the separate social collaboration application on the apparatus to create a social review session between the social collaboration application on the apparatus and a social collaboration application used on a second apparatus that lacks a copy of the CAD application; use the social collaboration application to synchronize the first user's view of the CAD model in the CAD application on the apparatus with a view seen by a second user in a different application on the second apparatus that lacks the copy of the CAD application, by passing indications of the first user's view of the CAD model from the CAD application on the apparatus to an application program interface (API) of the social collaboration application on the apparatus to cause the social collaboration application on the apparatus to transmit over the social review session the indications of the first user's view of the CAD model to the social collaboration application used on the second apparatus; use the social collaboration application to exchange annotations made by the first user on the view of the CAD model in the CAD application on the apparatus with the different application on the second apparatus, by passing the annotations to the API of the social collaboration application on the apparatus to cause the social collaboration application on the apparatus to transmit the annotations over the social review session to the social collaboration application on the second apparatus. | 17. An apparatus for social review of computer aided design (CAD) projects, comprising: a processor; a memory coupled to the processor and configured to store executable instructions for execution by the processor, the executable instructions including instructions for: a social collaboration application configured to communicate with other social collaboration applications on other apparatus; a CAD application separate from the social collaboration application, the CAD application configured to display a view of a CAD model to a first user; an abstraction layer associated with the CAD application, the abstraction layer configured to establish a connection with the social collaboration application on the apparatus, in response to selection of interface elements in the CAD application by a first user, cause the separate social collaboration application on the apparatus to create a social review session between the social collaboration application on the apparatus and a social collaboration application used on a second apparatus that lacks a copy of the CAD application; use the social collaboration application to synchronize the first user's view of the CAD model in the CAD application on the apparatus with a view seen by a second user in a different application on the second apparatus that lacks the copy of the CAD application, by passing indications of the first user's view of the CAD model from the CAD application on the apparatus to an application program interface (API) of the social collaboration application on the apparatus to cause the social collaboration application on the apparatus to transmit over the social review session the indications of the first user's view of the CAD model to the social collaboration application used on the second apparatus; use the social collaboration application to exchange annotations made by the first user on the view of the CAD model in the CAD application on the apparatus with the different application on the second apparatus, by passing the annotations to the API of the social collaboration application on the apparatus to cause the social collaboration application on the apparatus to transmit the annotations over the social review session to the social collaboration application on the second apparatus. 18. The apparatus of claim 17 , wherein the indications of the first user's view of the CAD model are snapshots. | 0.905245 |
8,812,582 | 13 | 15 | 13. A computer comprising: a storage device; and hardware processor, operably: provide an overlay client to a first user in an online social network, the overlay client to provide an interface between a service application on the computer and the online social network; identify a set of content sources associated with the first user comprising the storage device obtain via the overlay client, content from the set of content sources; receive a poll request associated with the content from a message server, wherein the poll request comprises an instruction to perform a client-side data scraping operation; originate a data request in response to the client-side data scraping operation; cause the service application to submit the data request to the online social network in view of the poll request; and receive a message associated with a second user from the online social network-that corresponds to an activity of the online social network, wherein the first user has previously engaged with the online social network, and wherein the activity is of interest to the first user. | 13. A computer comprising: a storage device; and hardware processor, operably: provide an overlay client to a first user in an online social network, the overlay client to provide an interface between a service application on the computer and the online social network; identify a set of content sources associated with the first user comprising the storage device obtain via the overlay client, content from the set of content sources; receive a poll request associated with the content from a message server, wherein the poll request comprises an instruction to perform a client-side data scraping operation; originate a data request in response to the client-side data scraping operation; cause the service application to submit the data request to the online social network in view of the poll request; and receive a message associated with a second user from the online social network-that corresponds to an activity of the online social network, wherein the first user has previously engaged with the online social network, and wherein the activity is of interest to the first user. 15. The computer of claim 13 , wherein the service application is to periodically request new content from the set of content sources. | 0.875465 |
9,195,717 | 16 | 17 | 16. The system of claim 15 , where the one or more server devices, when generating the search results document, are to: format the search results document to include the search results and not include the image results. | 16. The system of claim 15 , where the one or more server devices, when generating the search results document, are to: format the search results document to include the search results and not include the image results. 17. The system of claim 16 , where the classification metrics include at least one of: a first threshold associated with a quantity of keywords within a document that was obtained based on a particular search query associated with a measure of image intent that reflects an intent for images, a second threshold associated with a keyword density of the document, a third threshold associated with a quantity of images within the document, a fourth threshold associated with an image-to-text ratio of the document, or a fifth threshold associated with an image density of the document. | 0.901684 |
9,323,827 | 12 | 15 | 12. A non-transitory computer-readable storage medium containing executable program code for identifying at least one key term related to a similar passage, comprising: program code for identifying a plurality of documents stored in a corpus, wherein each identified document contains an instance of the similar passage; program code for, for each similar passage instance within the identified documents, extracting each word that appears within a threshold number of words before the similar passage instance within an identified document and each word that appears within a threshold number of words after the similar passage instance within the identified document, the extracted words associated with the similar passage instance; program code for combining the extracted words associated with each similar passage instance to form a context aggregation; program code for determining a plurality of key terms related to the similar passage based on the context aggregation, each key term associated with a subset of the similar passage instances, at least one key term determined by comparing words within the context aggregation to a terms database specifying possible key terms and extracting a word within the context aggregation that matches a term in the terms database; program code for presenting each of one or more key terms as a hyperlink in a user interface; program code for receiving a selection of a key term presented as a hyperlink; and program code for presenting the subset of similar passage instances associated with the selected key term in the user interface. | 12. A non-transitory computer-readable storage medium containing executable program code for identifying at least one key term related to a similar passage, comprising: program code for identifying a plurality of documents stored in a corpus, wherein each identified document contains an instance of the similar passage; program code for, for each similar passage instance within the identified documents, extracting each word that appears within a threshold number of words before the similar passage instance within an identified document and each word that appears within a threshold number of words after the similar passage instance within the identified document, the extracted words associated with the similar passage instance; program code for combining the extracted words associated with each similar passage instance to form a context aggregation; program code for determining a plurality of key terms related to the similar passage based on the context aggregation, each key term associated with a subset of the similar passage instances, at least one key term determined by comparing words within the context aggregation to a terms database specifying possible key terms and extracting a word within the context aggregation that matches a term in the terms database; program code for presenting each of one or more key terms as a hyperlink in a user interface; program code for receiving a selection of a key term presented as a hyperlink; and program code for presenting the subset of similar passage instances associated with the selected key term in the user interface. 15. The non-transitory computer-readable storage medium of claim 12 , further comprising: program code for combining words from metadata describing individual ones of the plurality of documents containing instances of the similar passage with the context aggregation; wherein determining at least one key term related to the similar passage is based at least in part on the metadata. | 0.62451 |
9,043,198 | 2 | 3 | 2. The method of claim 1 , comprising: normalizing the received text item, including tokenizing and synonymizing the text item; and determining the text strings based on the normalized text item. | 2. The method of claim 1 , comprising: normalizing the received text item, including tokenizing and synonymizing the text item; and determining the text strings based on the normalized text item. 3. The method of claim 2 , wherein determining the plurality of test strings includes submitting at least a portion of the normalized text item as a search query, receiving an ordered group of search results, and selecting the plurality of text strings from the search results. | 0.876998 |
8,965,776 | 10 | 17 | 10. A method comprising: receiving, from an optical receiver and by a device, a word, of a block of words within traffic, on which to perform forward error correction, the word including encoded bits and sets of reliability bits for identifying a respective level of reliability of each of the encoded bits; updating, by the device, a first segment of the word and a second segment of the word based on first extrinsic information, the first segment including a first subset of the encoded bits, the second segment including a second subset of the encoded bits, and the first extrinsic information modifying reliability bits associated with the first subset and the second subset; identifying, by the device, first least reliable positions (LRPs) within the updated first segment and second LRPs within the updated second segment, the first LRPs corresponding to first bits within the first subset with a lowest level of reliability, the second LRPs corresponding to second bits within the second subset with another lowest level of reliability; identifying, by the device, LRPs, within the word, based on a subset of a combination of the first bits and the second bits associated with one or more lowest levels of reliability; generating, by the device, candidate words based on different combinations of inverted encoded bits, within the word, that corresponds to the identified LRPs; identifying, by the device, errors within the word or the candidate words; updating, by the device and based on the first extrinsic information, a first encoded bit, within the first segment, in which an error is identified; determining, by the device, first partial distances between the updated first segment and first segments of the candidate words and second partial distances between the second segment and second segments of the candidate words; generating, by the device, second extrinsic information based on two or more best words of the candidate words, the two or more best words corresponding to two or more shortest first partial distances and two or more shortest second partial distances; and processing, by the device, a next word, of the block of words, using the second extrinsic information. | 10. A method comprising: receiving, from an optical receiver and by a device, a word, of a block of words within traffic, on which to perform forward error correction, the word including encoded bits and sets of reliability bits for identifying a respective level of reliability of each of the encoded bits; updating, by the device, a first segment of the word and a second segment of the word based on first extrinsic information, the first segment including a first subset of the encoded bits, the second segment including a second subset of the encoded bits, and the first extrinsic information modifying reliability bits associated with the first subset and the second subset; identifying, by the device, first least reliable positions (LRPs) within the updated first segment and second LRPs within the updated second segment, the first LRPs corresponding to first bits within the first subset with a lowest level of reliability, the second LRPs corresponding to second bits within the second subset with another lowest level of reliability; identifying, by the device, LRPs, within the word, based on a subset of a combination of the first bits and the second bits associated with one or more lowest levels of reliability; generating, by the device, candidate words based on different combinations of inverted encoded bits, within the word, that corresponds to the identified LRPs; identifying, by the device, errors within the word or the candidate words; updating, by the device and based on the first extrinsic information, a first encoded bit, within the first segment, in which an error is identified; determining, by the device, first partial distances between the updated first segment and first segments of the candidate words and second partial distances between the second segment and second segments of the candidate words; generating, by the device, second extrinsic information based on two or more best words of the candidate words, the two or more best words corresponding to two or more shortest first partial distances and two or more shortest second partial distances; and processing, by the device, a next word, of the block of words, using the second extrinsic information. 17. The method of claim 10 , the method further comprising: performing, on a per segment basis, the forward error correction, on the word, in a manner that does not include storing, in a memory associated with the device, the updated first segment or the second segment, the performing the error correction causing an increase in an amount of available memory space within the memory, the increase in the amount of available memory enabling a greater quantity of errors to be corrected, by the device, than would have been corrected had the first segment or the second segment been stored within the memory. | 0.670109 |
7,836,010 | 3 | 4 | 3. The method of claim 2 , wherein the weight assigned to at least one of the plurality of text items is increased in response to the text item being located in a specific region of the active computer task. | 3. The method of claim 2 , wherein the weight assigned to at least one of the plurality of text items is increased in response to the text item being located in a specific region of the active computer task. 4. The method of claim 3 , wherein the specific region is a region of the active computer task that is selected by the user. | 0.979551 |
9,478,059 | 11 | 12 | 11. One or more non-transitory machine-readable media storing instructions which, when executed by one or more processors, cause performance comprising: receiving a meta-language file comprising a conversion of a script file in a natural language format, the script file including a plurality of natural language statements; interpreting, by a first computing device, the meta-language file for execution of at least a first portion of the meta-language file; dynamically generating and displaying, on the first computing device, one or more visually animated graphical elements in accordance with the execution of the at least a first portion of the meta-language file; wherein the one or more visually animated graphical elements comprise an action element that relates to a background comprising a plurality of zones, and that causes displaying a first zone, of the plurality of zones, of the background; in response to a user interactive action taken on the one or more visually animated graphical elements of the at least a first portion of the meta-language file, by a first user on the first computing device, setting at least one parameter based on the user interactive action; wherein setting the at least one parameter causes a third meta-language file associated with the script file to particularly execute for a second user that is different from execution of the third meta-language file for the second user when the at least one parameter is not set; wherein setting the at least one parameter causes modifying the action element to cause displaying a second zone, of the plurality of zones, of the background; receiving a second meta-language file comprising a conversion of a second script file in a natural language format, the second script file including a plurality of natural language statements, the second script file separate and different from the script file; interpreting the second meta-language file for particular execution of at least a second portion of the second meta-language file in accordance with the at least one parameter, wherein the at least one parameter persists from the third meta-language file to the second meta-language file; dynamically generating and displaying one or more second visually animated graphical elements in accordance with the particular execution of the at least a second portion of the second meta-language file, including displaying the second zone of the background; wherein the at least a second portion of the second meta-language file executes differently from the particular execution when the at least one parameter is not set. | 11. One or more non-transitory machine-readable media storing instructions which, when executed by one or more processors, cause performance comprising: receiving a meta-language file comprising a conversion of a script file in a natural language format, the script file including a plurality of natural language statements; interpreting, by a first computing device, the meta-language file for execution of at least a first portion of the meta-language file; dynamically generating and displaying, on the first computing device, one or more visually animated graphical elements in accordance with the execution of the at least a first portion of the meta-language file; wherein the one or more visually animated graphical elements comprise an action element that relates to a background comprising a plurality of zones, and that causes displaying a first zone, of the plurality of zones, of the background; in response to a user interactive action taken on the one or more visually animated graphical elements of the at least a first portion of the meta-language file, by a first user on the first computing device, setting at least one parameter based on the user interactive action; wherein setting the at least one parameter causes a third meta-language file associated with the script file to particularly execute for a second user that is different from execution of the third meta-language file for the second user when the at least one parameter is not set; wherein setting the at least one parameter causes modifying the action element to cause displaying a second zone, of the plurality of zones, of the background; receiving a second meta-language file comprising a conversion of a second script file in a natural language format, the second script file including a plurality of natural language statements, the second script file separate and different from the script file; interpreting the second meta-language file for particular execution of at least a second portion of the second meta-language file in accordance with the at least one parameter, wherein the at least one parameter persists from the third meta-language file to the second meta-language file; dynamically generating and displaying one or more second visually animated graphical elements in accordance with the particular execution of the at least a second portion of the second meta-language file, including displaying the second zone of the background; wherein the at least a second portion of the second meta-language file executes differently from the particular execution when the at least one parameter is not set. 12. The one or more non-transitory machine-readable media of claim 11 , wherein dynamically generating and displaying comprises dynamically generating and displaying one or more visually animated avatars representative of respective one or more characters specified in the script file. | 0.9122 |
9,430,141 | 1 | 3 | 1. A device comprising: a processor; memory coupled to the processor; a touch sensor coupled to the processor; a display coupled to the processor and configured to present content of an electronic book; and a user interface module stored in the memory and executable by the processor to: detect a first stroke of a hand-drawn user input, via the touch sensor; and at least partly in response to detecting the hand-drawn user input: determine the hand-drawn user input is not associated with an underline input, circle input, or tap input; determine that the hand-drawn user input is associated with a hand-drawn annotation when the first stroke is not associated with the underline input, the circle input, or the tap input; responsive to determining the hand-drawn user input is the hand-drawn annotation: select a corner of the first stroke based at least in part on a language associated with the electronic book, wherein the corner is a top left corner when the language is English; identify a word of the content, the word nearest the corner; associate the word with the hand-drawn annotation; receive an input of additional strokes associated with the hand-drawn annotation; position the hand-drawn annotation based on a height or width of the display and a location of the word relative to the content of the electronic book presented on the display; and reflow the content of the electronic book present on the display around the hand-drawn annotation to cause the annotation to appear adjacent to the word and in-line with the words of the electronic book presented on the display. | 1. A device comprising: a processor; memory coupled to the processor; a touch sensor coupled to the processor; a display coupled to the processor and configured to present content of an electronic book; and a user interface module stored in the memory and executable by the processor to: detect a first stroke of a hand-drawn user input, via the touch sensor; and at least partly in response to detecting the hand-drawn user input: determine the hand-drawn user input is not associated with an underline input, circle input, or tap input; determine that the hand-drawn user input is associated with a hand-drawn annotation when the first stroke is not associated with the underline input, the circle input, or the tap input; responsive to determining the hand-drawn user input is the hand-drawn annotation: select a corner of the first stroke based at least in part on a language associated with the electronic book, wherein the corner is a top left corner when the language is English; identify a word of the content, the word nearest the corner; associate the word with the hand-drawn annotation; receive an input of additional strokes associated with the hand-drawn annotation; position the hand-drawn annotation based on a height or width of the display and a location of the word relative to the content of the electronic book presented on the display; and reflow the content of the electronic book present on the display around the hand-drawn annotation to cause the annotation to appear adjacent to the word and in-line with the words of the electronic book presented on the display. 3. The device of claim 1 , wherein the user interface module, responsive to determining the hand-drawn user input is a circle input, is further configured to: determine if the hand-drawn user input is associated with a circle input based at least in part on a direction or change in direction of the first stroke, a length of the first stroke, a position of the first stroke with respect to the content of the electronic book present on the display determined by using an association of pixels to the first stroke, and a relative closeness of a starting and ending point of the first stroke; associate the first stroke with a portion of the content based at least in part on the position of the first stroke with respect to the content of the electronic book present on the display; and replace the first stroke with a processed circle. | 0.500597 |
10,073,839 | 7 | 11 | 7. A system comprising: a processor programmed to initiate executable operations comprising: automatically gathering source text from a plurality of text sources, wherein at least a portion of the source text is stored as natural language documents, the plurality of text sources including at least one social media website, and storing the source text to a thesaurus data infrastructure; receiving subject text being exposed to thesaurus processing; identifying a context of the subject text; identifying source text having context similar to the context of the subject text by accessing the thesaurus data infrastructure and processing the source text using dynamically created rules to identify the source text having context similar to the context of the subject text, the dynamically created rules generated by performing initial processing on the source text when the source text is gathered; analyzing the identified source text to identify at least one candidate word or phrase contained in the source text to recommend as a replacement for at least one word or phrase contained in the subject text by performing natural language inference processing on the source text stored as natural language documents; and recommending the identified at least one candidate word or phrase as the replacement for the at least one word or phrase contained in the subject text by presenting the at least one candidate word or phrase on a display; wherein the recommendations follow the thesaurus further querying previously acquired source texts or documents having similar context. | 7. A system comprising: a processor programmed to initiate executable operations comprising: automatically gathering source text from a plurality of text sources, wherein at least a portion of the source text is stored as natural language documents, the plurality of text sources including at least one social media website, and storing the source text to a thesaurus data infrastructure; receiving subject text being exposed to thesaurus processing; identifying a context of the subject text; identifying source text having context similar to the context of the subject text by accessing the thesaurus data infrastructure and processing the source text using dynamically created rules to identify the source text having context similar to the context of the subject text, the dynamically created rules generated by performing initial processing on the source text when the source text is gathered; analyzing the identified source text to identify at least one candidate word or phrase contained in the source text to recommend as a replacement for at least one word or phrase contained in the subject text by performing natural language inference processing on the source text stored as natural language documents; and recommending the identified at least one candidate word or phrase as the replacement for the at least one word or phrase contained in the subject text by presenting the at least one candidate word or phrase on a display; wherein the recommendations follow the thesaurus further querying previously acquired source texts or documents having similar context. 11. The system of claim 7 , wherein the context of the subject text is identified by scanning an entire document containing the subject text. | 0.920068 |
6,122,661 | 37 | 44 | 37. A computer-readable storage medium holding code for facilitating information transfer between a host computer and a client computer via a server computer, comprising: a host computer comprising a memory within which a presentation space buffer storing computer display information is configured and a communications interface enabling information exchanges using data streams, including transmission of the presentation space buffer as a presentation space data stream; a client computer comprising a web browser application displaying a markup language document and forwarding user inputs; and a server computer topologically intermediate to the host computer and the client computer and comprising: a server application framework comprising a display control interfacing to the host computer via a communications medium over which data streams are exchanged, including the transmitted presentation space data stream, and a host extension converting the transmitted presentation space data stream into a markup language document having instructions that identify position information for a cursor on a Web page and for modifying the presentation space buffer in the host; and a web server application interfacing to the client computer via a network medium over which the markup language document is served and the forwarded user inputs received. | 37. A computer-readable storage medium holding code for facilitating information transfer between a host computer and a client computer via a server computer, comprising: a host computer comprising a memory within which a presentation space buffer storing computer display information is configured and a communications interface enabling information exchanges using data streams, including transmission of the presentation space buffer as a presentation space data stream; a client computer comprising a web browser application displaying a markup language document and forwarding user inputs; and a server computer topologically intermediate to the host computer and the client computer and comprising: a server application framework comprising a display control interfacing to the host computer via a communications medium over which data streams are exchanged, including the transmitted presentation space data stream, and a host extension converting the transmitted presentation space data stream into a markup language document having instructions that identify position information for a cursor on a Web page and for modifying the presentation space buffer in the host; and a web server application interfacing to the client computer via a network medium over which the markup language document is served and the forwarded user inputs received. 44. A storage medium according to claim 37, the server application framework further comprising: software process functioning as an intermediary between the host extension and the web server application and providing a remote procedure call to the host extension. | 0.833965 |
9,378,196 | 1 | 5 | 1. A method, comprising: identifying, by one or more processors, a task of a user; determining, by one or more of the processors, a category of the task; identifying, by one or more of the processors and based on the category, a plurality of annotation fields for the task; determining, by one or more of the processors, annotation field specific information related to the task, the annotation field specific information being related to one or more of the annotation fields for the task; and populating, by one or more of the processors, one or more of the annotation fields based on the annotation field specific information; determining, by one or more of the processors, a second category for the task; identifying, by one or more of the processors and based on the second category, a second plurality of annotation fields for the task, wherein at least one of the second plurality of annotation fields is unique from the plurality of annotation fields; determining, by one or more of the processors, additional annotation field specific information related to the task, the additional annotation field specific information being related to one or more of the second plurality of annotation fields for the task; and populating, by one or more of the processors, one or more of the second plurality of annotation fields based on the additional annotation field specific information. | 1. A method, comprising: identifying, by one or more processors, a task of a user; determining, by one or more of the processors, a category of the task; identifying, by one or more of the processors and based on the category, a plurality of annotation fields for the task; determining, by one or more of the processors, annotation field specific information related to the task, the annotation field specific information being related to one or more of the annotation fields for the task; and populating, by one or more of the processors, one or more of the annotation fields based on the annotation field specific information; determining, by one or more of the processors, a second category for the task; identifying, by one or more of the processors and based on the second category, a second plurality of annotation fields for the task, wherein at least one of the second plurality of annotation fields is unique from the plurality of annotation fields; determining, by one or more of the processors, additional annotation field specific information related to the task, the additional annotation field specific information being related to one or more of the second plurality of annotation fields for the task; and populating, by one or more of the processors, one or more of the second plurality of annotation fields based on the additional annotation field specific information. 5. The method of claim 1 , further comprising: identifying at least one entity associated with the task; and determining at least some of the annotation field specific information related to the task based on the identified entity. | 0.71125 |
8,155,962 | 2 | 3 | 2. The method of claim 1 , wherein asynchronously processing the request with the domain agent further includes formatting, by the domain agent, the single best response using a format template associated with the context relating to the identified request, criteria identified from the natural language utterance, or a profile associated with a user that provided the natural language utterance. | 2. The method of claim 1 , wherein asynchronously processing the request with the domain agent further includes formatting, by the domain agent, the single best response using a format template associated with the context relating to the identified request, criteria identified from the natural language utterance, or a profile associated with a user that provided the natural language utterance. 3. The method of claim 2 , wherein asynchronously processing the request with the domain agent further includes performing, by the domain agent, or more variable substitutions and transformations using the format template to format the single best response. | 0.942195 |
8,364,694 | 16 | 17 | 16. The non-transitory computer readable storage medium of claim 13 , wherein the one or more programs further comprise instructions for: prior to said sending, ordering the search hints in the set of search hints based on the media popularity indications. | 16. The non-transitory computer readable storage medium of claim 13 , wherein the one or more programs further comprise instructions for: prior to said sending, ordering the search hints in the set of search hints based on the media popularity indications. 17. The non-transitory computer readable storage medium of claim 16 , wherein said ordering of the search hints in the set of search hints based on the media popularity indications comprises sorting the search hints in the set of search hints based on the respective media popularity indications. | 0.920813 |
7,756,930 | 11 | 15 | 11. A method comprising the machine-implemented steps of: receiving a message from a message sender; obtaining a reputation score of the message sender, wherein the reputation score of the message sender was determined by performing the steps of: obtaining two or more lists from two or more list providers; determining which lists of the two or more lists indicate the message sender; extracting from each list of the two or more lists indicating the message sender an individual score for the message sender, representing an individual probability that the message sender sent an unsolicited message; computing the reputation score for the message sender from the individual scores for the message sender from each list of the two or more lists indicating the message sender; wherein the step of computing the reputation score comprises determining an aggregate score based on the individual score for each list of the two or more lists by performing at least one of a Chi Squared calculation, a Robinson calculation and a Bayes calculation on the individual scores for the message sender; and when the reputation score is worse than a first predefined threshold, performing a specified action associated with responding to the unsolicited message; wherein the method is performed by one or more processors. | 11. A method comprising the machine-implemented steps of: receiving a message from a message sender; obtaining a reputation score of the message sender, wherein the reputation score of the message sender was determined by performing the steps of: obtaining two or more lists from two or more list providers; determining which lists of the two or more lists indicate the message sender; extracting from each list of the two or more lists indicating the message sender an individual score for the message sender, representing an individual probability that the message sender sent an unsolicited message; computing the reputation score for the message sender from the individual scores for the message sender from each list of the two or more lists indicating the message sender; wherein the step of computing the reputation score comprises determining an aggregate score based on the individual score for each list of the two or more lists by performing at least one of a Chi Squared calculation, a Robinson calculation and a Bayes calculation on the individual scores for the message sender; and when the reputation score is worse than a first predefined threshold, performing a specified action associated with responding to the unsolicited message; wherein the method is performed by one or more processors. 15. The method of claim 11 , wherein the step of performing the specified action comprises moving the message into a bulk mail message folder. | 0.909898 |
8,607,311 | 13 | 14 | 13. A system comprising: one or more data remembrance components; one or more processors; a template stored in said one or more data remembrance components, said template specifying a first set of one or more assertions; one or more executable components that are stored in said one or more data remembrance components, and that execute on said one or more processors, and that retrieve or generate a first token that satisfies a first one of said first set of one or more assertions, and that create a first data structure that comprises one or more tokens that, together with an access request, allow a first principal to access a resource to be true under a policy, said one or more tokens comprising said first token; a guard that evaluates said first data structure and determines whether to allow said first principal access to said resource based on said access request and said one or more tokens; and an abduction component that abduces said first set of one or more assertions from information that comprises an access request for said first principal to access the resource, said abduction component not having in possession said first set of one or more assertions, said abduction component abducing said first said of one or more assertions by: receiving a first answer set and a second answer set, said first answer set comprising said first set of one or more assertions, said second answer set comprising a second set of one or more assertions, said first set of said one or more assertions and said second set of said one or more assertions each satisfying a condition that either said first set of one or more assertions or said second set of one or more assertions will, when presented to said guard, cause said guard to find that a query evaluates to true under a policy implemented by said guard; and determining that said first answer set is not subsumed by said second answer set. | 13. A system comprising: one or more data remembrance components; one or more processors; a template stored in said one or more data remembrance components, said template specifying a first set of one or more assertions; one or more executable components that are stored in said one or more data remembrance components, and that execute on said one or more processors, and that retrieve or generate a first token that satisfies a first one of said first set of one or more assertions, and that create a first data structure that comprises one or more tokens that, together with an access request, allow a first principal to access a resource to be true under a policy, said one or more tokens comprising said first token; a guard that evaluates said first data structure and determines whether to allow said first principal access to said resource based on said access request and said one or more tokens; and an abduction component that abduces said first set of one or more assertions from information that comprises an access request for said first principal to access the resource, said abduction component not having in possession said first set of one or more assertions, said abduction component abducing said first said of one or more assertions by: receiving a first answer set and a second answer set, said first answer set comprising said first set of one or more assertions, said second answer set comprising a second set of one or more assertions, said first set of said one or more assertions and said second set of said one or more assertions each satisfying a condition that either said first set of one or more assertions or said second set of one or more assertions will, when presented to said guard, cause said guard to find that a query evaluates to true under a policy implemented by said guard; and determining that said first answer set is not subsumed by said second answer set. 14. The system of claim 13 , further comprising: a token store that stores a plurality of tokens, including said first token, wherein said one or more executable components comprise an assertion provider that makes a determination that said first token satisfies said first one of said first set of one or more assertions and retrieves said first token from said token store based on said determination. | 0.501238 |
8,094,948 | 16 | 17 | 16. The method of claim 15 , further comprising: automatically annotating the digital image by associating the classification with a tag. | 16. The method of claim 15 , further comprising: automatically annotating the digital image by associating the classification with a tag. 17. The method of claim 16 , wherein: the automatic annotation includes associating the digital image by classification according to extracted optical context data from the optical metadata. | 0.856928 |
9,024,865 | 32 | 35 | 32. An apparatus for interpreting movements of a first wearable item as gestures associated with a command to control a controlled device, comprising: means for receiving first and second signals respectively from the first wearable item and a second wearable item, wherein the first and second signals comprise information indicating movements of the first and second wearable items, respectively; means for identifying that the movement of the first wearable item was intended for the command and the movement of the second wearable item was not intended for any command based on the first and second signals indicating that the movements of the first and second wearable items occurred at the same time and in substantially the same direction; means for determining a first context in which the movement of the first wearable item is sensed, wherein the determination is based on a set of previously configured applicable contexts by another movement of the second wearable device or another wearable item; and means for interpreting the movement as being indicative of a gesture relating to the command based on the first context. | 32. An apparatus for interpreting movements of a first wearable item as gestures associated with a command to control a controlled device, comprising: means for receiving first and second signals respectively from the first wearable item and a second wearable item, wherein the first and second signals comprise information indicating movements of the first and second wearable items, respectively; means for identifying that the movement of the first wearable item was intended for the command and the movement of the second wearable item was not intended for any command based on the first and second signals indicating that the movements of the first and second wearable items occurred at the same time and in substantially the same direction; means for determining a first context in which the movement of the first wearable item is sensed, wherein the determination is based on a set of previously configured applicable contexts by another movement of the second wearable device or another wearable item; and means for interpreting the movement as being indicative of a gesture relating to the command based on the first context. 35. The apparatus of claim 32 , wherein the determination is based on an operational state of the first wearable item. | 0.807818 |
9,256,694 | 15 | 21 | 15. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: determining that, among a set of search results that are each identified as at least potentially relevant by a search engine in response to a search query submitted to the search engine, one or more of the search results are each classified by the search engine as very relevant to the search query; and in response to determining that, among the set of search results that are each identified as at least potentially relevant by the search engine in response to the search query submitted to the search engine, one or more of the search results are each classified by the search engine as very relevant to the search query: providing a search results page that (i) includes a subset of the search results, including the one or more search results that are each classified by the search engine as very relevant to the search query, and one or more search results that are identified as at least potentially relevant by the search engine but that are not each classified by the search engine as very relevant to the search query, and (ii) includes a respective image in association with only those search results of the subset that are each classified by the search engine as very relevant to the search query, and (iii) does not include a respective image in association with those search results of the subset that are not each classified by the search engine as very relevant to the search query. | 15. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: determining that, among a set of search results that are each identified as at least potentially relevant by a search engine in response to a search query submitted to the search engine, one or more of the search results are each classified by the search engine as very relevant to the search query; and in response to determining that, among the set of search results that are each identified as at least potentially relevant by the search engine in response to the search query submitted to the search engine, one or more of the search results are each classified by the search engine as very relevant to the search query: providing a search results page that (i) includes a subset of the search results, including the one or more search results that are each classified by the search engine as very relevant to the search query, and one or more search results that are identified as at least potentially relevant by the search engine but that are not each classified by the search engine as very relevant to the search query, and (ii) includes a respective image in association with only those search results of the subset that are each classified by the search engine as very relevant to the search query, and (iii) does not include a respective image in association with those search results of the subset that are not each classified by the search engine as very relevant to the search query. 21. The system of claim 15 , wherein the respective image comprises a logo associated with at least one of the search results that are each classified as very relevant to the search query. | 0.742466 |
8,281,236 | 1 | 8 | 1. A method executed at least in part in a computing device for removing style corruption from extensible markup language (XML) based documents, the method comprising: reading style information associated with an XML based document; determining at least one from a set of unused, corrupted, and duplicate styles by matching style definitions for the document with style parts in a document package; removing at least one from the set of the unused, corrupted, and duplicate styles without opening the XML based document in a rich application associated with the XML based document; determining corrupted name ranges; and removing the corrupted name ranges from the XML based document. | 1. A method executed at least in part in a computing device for removing style corruption from extensible markup language (XML) based documents, the method comprising: reading style information associated with an XML based document; determining at least one from a set of unused, corrupted, and duplicate styles by matching style definitions for the document with style parts in a document package; removing at least one from the set of the unused, corrupted, and duplicate styles without opening the XML based document in a rich application associated with the XML based document; determining corrupted name ranges; and removing the corrupted name ranges from the XML based document. 8. The method of claim 1 , further comprising: removing the unused, corrupted, and duplicate styles automatically. | 0.917511 |
8,055,298 | 7 | 11 | 7. A communication device comprising: a microphone; a speaker; an input device; a display; a camera; a wireless communicating system; a voice communicating implementer to implement voice communication by utilizing said microphone and said speaker; an OCR implementer, wherein an image data is input via said camera and alphanumeric data is extracted from said image data; a caller ID implementer which retrieves a predetermined color data and/or sound data which is specific to the caller of the incoming call received by said communication device, and outputs the color and/or sound corresponding to said predetermined color data and/or sound data from said communication device; an auto time adjusting implementer which automatically adjusts the clock of said communication device in accordance with a wireless signal received by said wireless communication system; a calculating implementer which implements mathematical calculation by utilizing digits input via said input device; a word processing implementer which includes a bold formatting implementer, an italic formatting implementer, and/or a font formatting implementer, wherein said bold formatting implementer changes alphanumeric data to bold, said italic formatting implementer changes alphanumeric data to italic, and said font formatting implementer changes alphanumeric data to a selected font; a startup software implementer, wherein a startup software identification data storage area stores a startup software identification data which is an identification of a certain software program selected by the user, and when the power of said communication device is turned on, said startup software implementer retrieves said startup software identification data from said startup software identification data storage area and activates said certain software program; a stereo audio data playback implementer which playbacks and outputs in a stereo fashion the audio data selected by the user of said communication device; a digital camera implementer, wherein a photo quality identifying command is input via said input device, and when a photo taking command is input via said input device, a photo data retrieved via said camera is stored in a photo data storage area with the quality indicated by said photo quality identifying command; a multiple language displaying implementer, wherein a specific language is selected from a plurality of languages, and the interface to operate said communication device is displayed with said specific language; a caller's information displaying implementer which displays a personal information regarding caller on said display when said communication device receives a phone call; a communication device remote controlling implementer, wherein said communication device is remotely controlled by a computer via a network; a shortcut icon displaying implementer, wherein a shortcut icon is displayed on said display, and a software program indicated by said shortcut icon is activated when said shortcut icon is selected; and a multiple channel processing implementer which sends data in a wireless fashion by utilizing multiple channels. | 7. A communication device comprising: a microphone; a speaker; an input device; a display; a camera; a wireless communicating system; a voice communicating implementer to implement voice communication by utilizing said microphone and said speaker; an OCR implementer, wherein an image data is input via said camera and alphanumeric data is extracted from said image data; a caller ID implementer which retrieves a predetermined color data and/or sound data which is specific to the caller of the incoming call received by said communication device, and outputs the color and/or sound corresponding to said predetermined color data and/or sound data from said communication device; an auto time adjusting implementer which automatically adjusts the clock of said communication device in accordance with a wireless signal received by said wireless communication system; a calculating implementer which implements mathematical calculation by utilizing digits input via said input device; a word processing implementer which includes a bold formatting implementer, an italic formatting implementer, and/or a font formatting implementer, wherein said bold formatting implementer changes alphanumeric data to bold, said italic formatting implementer changes alphanumeric data to italic, and said font formatting implementer changes alphanumeric data to a selected font; a startup software implementer, wherein a startup software identification data storage area stores a startup software identification data which is an identification of a certain software program selected by the user, and when the power of said communication device is turned on, said startup software implementer retrieves said startup software identification data from said startup software identification data storage area and activates said certain software program; a stereo audio data playback implementer which playbacks and outputs in a stereo fashion the audio data selected by the user of said communication device; a digital camera implementer, wherein a photo quality identifying command is input via said input device, and when a photo taking command is input via said input device, a photo data retrieved via said camera is stored in a photo data storage area with the quality indicated by said photo quality identifying command; a multiple language displaying implementer, wherein a specific language is selected from a plurality of languages, and the interface to operate said communication device is displayed with said specific language; a caller's information displaying implementer which displays a personal information regarding caller on said display when said communication device receives a phone call; a communication device remote controlling implementer, wherein said communication device is remotely controlled by a computer via a network; a shortcut icon displaying implementer, wherein a shortcut icon is displayed on said display, and a software program indicated by said shortcut icon is activated when said shortcut icon is selected; and a multiple channel processing implementer which sends data in a wireless fashion by utilizing multiple channels. 11. The communication device of claim 7 , wherein said speaker includes a first speaker and a second speaker, and said audio data is/are output from said first speaker and said second speaker. | 0.804082 |
9,619,210 | 1 | 5 | 1. A system for parsing, generating code and compiling computer data system query language code, the system comprising: one or more hardware processors coupled to a nontransitory computer readable medium having stored thereon software instructions that, when executed by the one or more processors, cause the one or more processors to perform operations including: obtaining, at the one or more hardware processors, computer data system query language code from an electronic computer readable data storage; parsing, at the one or more hardware processors, the computer data system query language code to generate a computer data system query language parsed code structure; resolving, at the one or more hardware processors, a type of one or more columns represented in the parsed code structure based on a determined context of the one or more columns; inserting, at the one or more hardware processors, resolved types into the parsed code structure; generating, at the one or more hardware processors, computer programming language code from the computer data system query language parsed code structure; determining, at the one or more hardware processors, whether precompiled code corresponding to the generated computer programming language code is available in a precompiled code repository stored in the electronic computer readable data storage; when precompiled code is available in the precompiled code repository, loading, at the one or more hardware processors, the precompiled code; when precompiled code is not available in the precompiled code repository: compiling, at the one or more hardware processors, the computer programming language code to generate compiled computer programming language code; and loading, at the one or more hardware processors, the compiled computer programming language code; instantiating, at the one or more hardware processors, the loaded precompiled code or the compiled computer programming language code; and executing, at the one or more hardware processors, the instantiated code to perform a query operation corresponding to the computer data system query language code, wherein determining whether precompiled code corresponding to the programming language code is available in a precompiled code repository comprises: generating a token representing the generated computer programming language code; and comparing the token to one or more repository tokens in the precompiled code repository corresponding to precompiled code units. | 1. A system for parsing, generating code and compiling computer data system query language code, the system comprising: one or more hardware processors coupled to a nontransitory computer readable medium having stored thereon software instructions that, when executed by the one or more processors, cause the one or more processors to perform operations including: obtaining, at the one or more hardware processors, computer data system query language code from an electronic computer readable data storage; parsing, at the one or more hardware processors, the computer data system query language code to generate a computer data system query language parsed code structure; resolving, at the one or more hardware processors, a type of one or more columns represented in the parsed code structure based on a determined context of the one or more columns; inserting, at the one or more hardware processors, resolved types into the parsed code structure; generating, at the one or more hardware processors, computer programming language code from the computer data system query language parsed code structure; determining, at the one or more hardware processors, whether precompiled code corresponding to the generated computer programming language code is available in a precompiled code repository stored in the electronic computer readable data storage; when precompiled code is available in the precompiled code repository, loading, at the one or more hardware processors, the precompiled code; when precompiled code is not available in the precompiled code repository: compiling, at the one or more hardware processors, the computer programming language code to generate compiled computer programming language code; and loading, at the one or more hardware processors, the compiled computer programming language code; instantiating, at the one or more hardware processors, the loaded precompiled code or the compiled computer programming language code; and executing, at the one or more hardware processors, the instantiated code to perform a query operation corresponding to the computer data system query language code, wherein determining whether precompiled code corresponding to the programming language code is available in a precompiled code repository comprises: generating a token representing the generated computer programming language code; and comparing the token to one or more repository tokens in the precompiled code repository corresponding to precompiled code units. 5. The system of claim 1 , wherein the token includes a result of a hash function of one or more attributes of the computer programming language code; and wherein determining whether precompiled code corresponding to the programming language code is available in a precompiled code repository further comprises: based on the comparing, determining whether the token matches any of the repository tokens. | 0.501238 |
8,713,018 | 13 | 18 | 13. A system for clustering reference documents to generate suggestions for classification of uncoded documents, comprising: a set of reference documents each associated with one of a plurality of classification codes and a visual representation of that classification code comprising at least one of a shape and a symbol, wherein the visual representation of each of the classification codes is different from the visual representations of the remaining classification codes; a set of uncoded documents each associated with a visual representation different from the visual representations of the classification codes; a processor to execute modules, comprising: a clustering module to select one or more of the coded reference documents, to combine the one or more coded reference documents selected with the uncoded documents as a set of combined documents, and to group the combined set of documents into clusters, further comprising: a cluster similarity module to determine a similarity between each document; and a grouping module to group the documents into the clusters based on the similarity; an identification module to identify at least one of the clusters with the coded reference documents; and a display to visually depict relationships between the uncoded documents and the one or more coded reference documents in the at least one cluster as suggestions for classifying the uncoded documents in that cluster by displaying the visual representation associated with each of the coded reference documents in that cluster and the visual representation associated with each of the uncoded documents in that cluster. | 13. A system for clustering reference documents to generate suggestions for classification of uncoded documents, comprising: a set of reference documents each associated with one of a plurality of classification codes and a visual representation of that classification code comprising at least one of a shape and a symbol, wherein the visual representation of each of the classification codes is different from the visual representations of the remaining classification codes; a set of uncoded documents each associated with a visual representation different from the visual representations of the classification codes; a processor to execute modules, comprising: a clustering module to select one or more of the coded reference documents, to combine the one or more coded reference documents selected with the uncoded documents as a set of combined documents, and to group the combined set of documents into clusters, further comprising: a cluster similarity module to determine a similarity between each document; and a grouping module to group the documents into the clusters based on the similarity; an identification module to identify at least one of the clusters with the coded reference documents; and a display to visually depict relationships between the uncoded documents and the one or more coded reference documents in the at least one cluster as suggestions for classifying the uncoded documents in that cluster by displaying the visual representation associated with each of the coded reference documents in that cluster and the visual representation associated with each of the uncoded documents in that cluster. 18. A system according to claim 13 , wherein each uncoded document in the at least one cluster is represented by a symbol and each coded reference document is represented by a different symbol, and further wherein the coded reference electronically stored information items associated with different classification codes are distinguished by different color assigned to the different symbols. | 0.727778 |
7,715,933 | 13 | 19 | 13. The recording medium of claim 8 , wherein if the coding information is related with an Electronic Music Distribution (EMD) file, the coding information does not include text data related information, and if the coding information is not related with the EMD file, the text data is processed based on the coding information. | 13. The recording medium of claim 8 , wherein if the coding information is related with an Electronic Music Distribution (EMD) file, the coding information does not include text data related information, and if the coding information is not related with the EMD file, the text data is processed based on the coding information. 19. The apparatus of claim 13 , wherein if the coding information is related with an Electronic Music Distribution (EMD) file, the coding information does not include text data related information, and if the coding information is not related with the EMD file, the text data is processed based on the coding information. | 0.904578 |
9,959,487 | 9 | 12 | 9. A non-transitory computer-readable storage medium storing instructions that, when executed by a processor of a device, cause the device to perform a method for adding a font, the method comprising: acquiring an image; recognizing text in the image as at least one character, each character being a font file corresponding to a single word or a single symbol; and adding a recognized character to a system font library, the system font library including characters used for displaying text on a user interface, wherein the adding of the recognized character to the system font library comprises: recognizing, from the system font library, at least one standard character candidate corresponding to the recognized character; receiving a character selecting operation on the at least one standard character candidate, the character selecting operation selecting a standard character candidate, the selected standard character candidate and the recognized having different fonts; and replacing, in the system font library, the selected standard character candidate with the recognized character. | 9. A non-transitory computer-readable storage medium storing instructions that, when executed by a processor of a device, cause the device to perform a method for adding a font, the method comprising: acquiring an image; recognizing text in the image as at least one character, each character being a font file corresponding to a single word or a single symbol; and adding a recognized character to a system font library, the system font library including characters used for displaying text on a user interface, wherein the adding of the recognized character to the system font library comprises: recognizing, from the system font library, at least one standard character candidate corresponding to the recognized character; receiving a character selecting operation on the at least one standard character candidate, the character selecting operation selecting a standard character candidate, the selected standard character candidate and the recognized having different fonts; and replacing, in the system font library, the selected standard character candidate with the recognized character. 12. The medium of claim 9 , wherein the method further comprises: receiving a second restoring signal; and restoring, according to the second restoring signal, each character in the system font library to a corresponding default standard character. | 0.627628 |
7,752,599 | 1 | 4 | 1. A method for extending an existing object oriented programming language, comprising the steps of: extending an existing object oriented programming language with a workflow language including a plurality of workflow constructs provided as markup language commands; selecting a program source file including a source code and classes written in the existing object oriented programming language; extending the source code with a workflow definition including the plurality of workflow constructs of the workflow language, wherein the workflow constructs are specified in the form of annotations to the source code and the classes, the plurality of workflow constructs including an action construct representing an activity that allows a first software component to call an operation on a second software component; and using a workflow program according to the workflow definition, including processing, using a computer including a processing device operating thereon, the action construct to allow the first software component to call the operation on the second software component, and passing, according to the workflow definition in the form of annotations to the source code, information selected from one or more files, documents and/or tasks between system resources, according to a set of procedural rules to generate activities at the computer as defined by the workflow definition. | 1. A method for extending an existing object oriented programming language, comprising the steps of: extending an existing object oriented programming language with a workflow language including a plurality of workflow constructs provided as markup language commands; selecting a program source file including a source code and classes written in the existing object oriented programming language; extending the source code with a workflow definition including the plurality of workflow constructs of the workflow language, wherein the workflow constructs are specified in the form of annotations to the source code and the classes, the plurality of workflow constructs including an action construct representing an activity that allows a first software component to call an operation on a second software component; and using a workflow program according to the workflow definition, including processing, using a computer including a processing device operating thereon, the action construct to allow the first software component to call the operation on the second software component, and passing, according to the workflow definition in the form of annotations to the source code, information selected from one or more files, documents and/or tasks between system resources, according to a set of procedural rules to generate activities at the computer as defined by the workflow definition. 4. A method according to claim 1 , wherein the program source file is a Web Service file that includes the workflow definition constructs. | 0.88 |
8,990,064 | 12 | 16 | 12. A system for translating documents based on an alignment of content, the system comprising: a computing device to receive an indication via a user interface to perform an optimal translation of a document into a target language, the document comprising text in a source language, the optimal translation to be executed by a preferred translation engine; a plurality of available translation engines each including a training dataset for a different subject matter; an alignment module to measure, using cross correlation, a degree of alignment between content associated with the document and content included in each of the training datasets; a recommendation engine stored in memory and executable by a processor to identify a preferred translation engine based on the degree of alignment of the training dataset included in the selected translation engine; and a computing device to output a translated document obtained via the optimal translation executed using the preferred translation engine, the translated document comprising text in the target language. | 12. A system for translating documents based on an alignment of content, the system comprising: a computing device to receive an indication via a user interface to perform an optimal translation of a document into a target language, the document comprising text in a source language, the optimal translation to be executed by a preferred translation engine; a plurality of available translation engines each including a training dataset for a different subject matter; an alignment module to measure, using cross correlation, a degree of alignment between content associated with the document and content included in each of the training datasets; a recommendation engine stored in memory and executable by a processor to identify a preferred translation engine based on the degree of alignment of the training dataset included in the selected translation engine; and a computing device to output a translated document obtained via the optimal translation executed using the preferred translation engine, the translated document comprising text in the target language. 16. The system of claim 12 , further comprising a communications module stored in memory and executable by a processor to access the document based on location information associated with the document and received through the user interface. | 0.668956 |
9,639,376 | 16 | 20 | 16. A computer-implemented method comprising: providing multiple skin elements that constitute part of a user interface, the multiple skin elements comprising at least a first skin element and a second skin element; and synchronizing a property of the first skin element with a property of the second skin element, the synchronizing comprising describing a synchronization between the property of the first skin element and the property of the second skin element using a tree data structure having multiple nodes, a first node of the tree data structure representing a visible region of the multiple skin elements and a second node of the tree data structure representing an invisible region of the multiple skin elements, wherein one of the first skin element and the second skin element is associated with the first node, and the other of the first skin element is associated with the second node. | 16. A computer-implemented method comprising: providing multiple skin elements that constitute part of a user interface, the multiple skin elements comprising at least a first skin element and a second skin element; and synchronizing a property of the first skin element with a property of the second skin element, the synchronizing comprising describing a synchronization between the property of the first skin element and the property of the second skin element using a tree data structure having multiple nodes, a first node of the tree data structure representing a visible region of the multiple skin elements and a second node of the tree data structure representing an invisible region of the multiple skin elements, wherein one of the first skin element and the second skin element is associated with the first node, and the other of the first skin element is associated with the second node. 20. The method of claim 16 , wherein the tree data structure comprises a hierarchical tag-based data structure, the hierarchical tag-based data structure comprising one or more tags associated with keywords designated to identify one or more types of synchronization between the at least one first property of the first skin element and the at least one second property of the second skin element. | 0.697869 |
8,010,979 | 35 | 38 | 35. A non-transitory computer readable medium having computer readable program codes embodied therein for performing interactive television program guide operations, the non-transitory computer readable medium program codes performing functions comprising: updating aspects of an interactive television program guide implemented on a user television equipment; receiving a markup language document at the interactive television program guide implemented on the user television equipment; updating an aspect of the interactive television program guide based on the received markup language document using the interactive television program guide; and generating and displaying a program guide display screen on the user television equipment having aspects of the interactive television program guide as updated based on the markup language document. | 35. A non-transitory computer readable medium having computer readable program codes embodied therein for performing interactive television program guide operations, the non-transitory computer readable medium program codes performing functions comprising: updating aspects of an interactive television program guide implemented on a user television equipment; receiving a markup language document at the interactive television program guide implemented on the user television equipment; updating an aspect of the interactive television program guide based on the received markup language document using the interactive television program guide; and generating and displaying a program guide display screen on the user television equipment having aspects of the interactive television program guide as updated based on the markup language document. 38. The non-transitory computer readable medium of claim 35 wherein the aspects of the program guide comprise display characteristics of the program guide. | 0.793883 |
8,145,472 | 1 | 3 | 1. A computer-implemented language translation system comprising: a computer-implemented request distribution system, which receives requests to translate source speech or text from a source language to a target language, and wherein the request distribution system breaks the source speech or text into a plurality of text fragments and incorporates the fragments into a plurality of translation requests; a translation network comprised of multiple human and machine translators, wherein the human and machine translators are treated uniformly and generate translation responses containing one or more suggested translations of the text fragments into the target language, and wherein each of the translators has a translator reputation that describes an expected quality of translations provided by each of the human and machine translators; and a computer-implemented response assembly system, which collects the translation responses, which includes a plurality of translations for each and every text fragment and automatically assembles the suggested translations into an overall source speech or text translation based on the translator reputations of each translator, on statistical properties of the suggested translations individually and of an entire collection of translated text fragments, on statistical properties of the source and target languages, and on the context and details of the original translation request. | 1. A computer-implemented language translation system comprising: a computer-implemented request distribution system, which receives requests to translate source speech or text from a source language to a target language, and wherein the request distribution system breaks the source speech or text into a plurality of text fragments and incorporates the fragments into a plurality of translation requests; a translation network comprised of multiple human and machine translators, wherein the human and machine translators are treated uniformly and generate translation responses containing one or more suggested translations of the text fragments into the target language, and wherein each of the translators has a translator reputation that describes an expected quality of translations provided by each of the human and machine translators; and a computer-implemented response assembly system, which collects the translation responses, which includes a plurality of translations for each and every text fragment and automatically assembles the suggested translations into an overall source speech or text translation based on the translator reputations of each translator, on statistical properties of the suggested translations individually and of an entire collection of translated text fragments, on statistical properties of the source and target languages, and on the context and details of the original translation request. 3. The system of claim 1 , further comprising a computer-implemented quality control system, which comprises one or more human translators, and wherein the quality control system provides a plurality of quality control functions comprising: verifying selected translation responses for accuracy; verifying selected overall source text translations; adjusting translator reputations; and maintaining data on translator availability, translator speed, and translator accuracy. | 0.648889 |
7,685,512 | 20 | 21 | 20. The computer readable medium of claim 19 , wherein (b) comprises, if it is determined in (a) that said target namespace of said referenced global element declaration is null or the same as the target namespace of an XML schema containing said element reference: generating in place of said element reference a new local element declaration with a derived type based on a determined type of said referenced global element declaration. | 20. The computer readable medium of claim 19 , wherein (b) comprises, if it is determined in (a) that said target namespace of said referenced global element declaration is null or the same as the target namespace of an XML schema containing said element reference: generating in place of said element reference a new local element declaration with a derived type based on a determined type of said referenced global element declaration. 21. The computer readable medium of claim 20 , wherein said rendering option further specifies a target namespace for said additional attribute and wherein said computer-executable instructions further cause said computing device to, if said target namespace for said additional attribute is null or the same as a target namespace of said derived type, add to said derived type a local attribute having said specified attribute name and said specified attribute value. | 0.875862 |
8,280,448 | 13 | 14 | 13. A method of controlling a mobile terminal, the method comprising: receiving a request for connecting a call from a caller; detecting caller information regarding the caller; outputting a first control signal for controlling a haptic module to generate a haptic effect corresponding to the caller information; and outputting a second control signal for controlling the haptic module to generate a haptic effect corresponding to a predetermined event when the predetermined event occurs during the call from the caller. | 13. A method of controlling a mobile terminal, the method comprising: receiving a request for connecting a call from a caller; detecting caller information regarding the caller; outputting a first control signal for controlling a haptic module to generate a haptic effect corresponding to the caller information; and outputting a second control signal for controlling the haptic module to generate a haptic effect corresponding to a predetermined event when the predetermined event occurs during the call from the caller. 14. The method of claim 13 , further comprising controlling the haptic module to generate a haptic effect in response to the first control signal or the second control signal. | 0.502841 |
8,996,982 | 9 | 10 | 9. A requirements planning data processing system comprising: a requirements planning system executing in memory by at least one processor of a host computing platform and configured to maintain traceability links between a version of a requirement in a requirement plan of requirements for a software system and different stakeholders approving of the version of the requirement, each traceability link connecting a stakeholder with a specific version of the requirement requiring the approval of the stakeholder and tracking different approval status values for different versions of a corresponding requirement; an annotation manager coupled to an annotation data store, the annotation manager comprising program code enabled to accept an annotation for a version of a requirement and to store the annotation within the annotation data store; and a displayer for displaying a single document merged from all versions of the requirement to a viewing approving stakeholder, wherein the single document is marked to reflect differences between the single document and a most recent version of the requirement approved by the viewing approving stakeholder. | 9. A requirements planning data processing system comprising: a requirements planning system executing in memory by at least one processor of a host computing platform and configured to maintain traceability links between a version of a requirement in a requirement plan of requirements for a software system and different stakeholders approving of the version of the requirement, each traceability link connecting a stakeholder with a specific version of the requirement requiring the approval of the stakeholder and tracking different approval status values for different versions of a corresponding requirement; an annotation manager coupled to an annotation data store, the annotation manager comprising program code enabled to accept an annotation for a version of a requirement and to store the annotation within the annotation data store; and a displayer for displaying a single document merged from all versions of the requirement to a viewing approving stakeholder, wherein the single document is marked to reflect differences between the single document and a most recent version of the requirement approved by the viewing approving stakeholder. 10. The system of claim 9 , wherein the annotation includes one of a comment, an objection, and a question. | 0.921091 |
8,412,525 | 1 | 9 | 1. A method, comprising: converting a plurality of feature vectors that represents a speech utterance into a plurality of log probability sets, the converting using a classifier ensemble including a plurality of classifiers; transforming the plurality of log probability sets into a plurality of output symbol sequences; combining the plurality of output symbol sequences, using an iterative a priori probability calculation algorithm, into a fusion output symbol sequence; and retrieving one or more speech utterances from a speech database using the plurality of output symbol sequences. | 1. A method, comprising: converting a plurality of feature vectors that represents a speech utterance into a plurality of log probability sets, the converting using a classifier ensemble including a plurality of classifiers; transforming the plurality of log probability sets into a plurality of output symbol sequences; combining the plurality of output symbol sequences, using an iterative a priori probability calculation algorithm, into a fusion output symbol sequence; and retrieving one or more speech utterances from a speech database using the plurality of output symbol sequences. 9. The method of claim 1 , further comprising: converting an input audio signal into the plurality of feature vectors and compensating for noise in the input audio signal using frequency bins in each of a plurality of frames that are included in the input audio signal. | 0.905614 |
9,569,593 | 31 | 38 | 31. Apparatus comprising: at least one processor; and at least one storage medium storing processor-executable instructions that, when executed by the at least one processor, perform a method comprising: transcribing audio data comprising audio of one or more clinical personnel speaking while performing a surgical procedure, the audio data comprising audio of a first clinician speaking to one or more other clinical personnel while performing the surgical procedure; analyzing the transcribed audio data, including the transcribed audio of the first clinician speaking to the one or more other clinical personnel while performing the surgical procedure, at least in part by automatically extracting one or more clinical facts from the transcribed audio data, to identify relevant information for documenting the surgical procedure, wherein analyzing the transcribed audio data comprises identifying within the transcribed audio data a present-tense narration by the first clinician stating to the other clinical personnel that the first clinician is currently performing a particular step of the surgical procedure; automatically generating a text report including the relevant information documenting the surgical procedure, wherein automatically generating the text report comprises automatically transforming the present-tense narration into a non-present-tense text portion in the report, stating that the particular step of the surgical procedure was performed; and outputting the automatically generated text report for review via a user interface on an audio and/or visual display device. | 31. Apparatus comprising: at least one processor; and at least one storage medium storing processor-executable instructions that, when executed by the at least one processor, perform a method comprising: transcribing audio data comprising audio of one or more clinical personnel speaking while performing a surgical procedure, the audio data comprising audio of a first clinician speaking to one or more other clinical personnel while performing the surgical procedure; analyzing the transcribed audio data, including the transcribed audio of the first clinician speaking to the one or more other clinical personnel while performing the surgical procedure, at least in part by automatically extracting one or more clinical facts from the transcribed audio data, to identify relevant information for documenting the surgical procedure, wherein analyzing the transcribed audio data comprises identifying within the transcribed audio data a present-tense narration by the first clinician stating to the other clinical personnel that the first clinician is currently performing a particular step of the surgical procedure; automatically generating a text report including the relevant information documenting the surgical procedure, wherein automatically generating the text report comprises automatically transforming the present-tense narration into a non-present-tense text portion in the report, stating that the particular step of the surgical procedure was performed; and outputting the automatically generated text report for review via a user interface on an audio and/or visual display device. 38. The apparatus of claim 31 , wherein the method further comprises recording the audio data through one or more microphones worn by the one or more clinical personnel. | 0.912526 |
9,183,830 | 24 | 26 | 24. The non-transitory computer-readable storage medium of claim 21 , wherein the set of generator-model functions for each given source HMM state model comprises a multivariate spectral probability density function (PDF) for jointly modeling spectral envelope parameters of a phonetic unit modeled by a given source HMM state model, and a multivariate excitation PDF for jointly modeling excitation parameters of the phonetic unit, and wherein determining for each given source HMM state model the particular target-speaker vector from among the target set that most closely matches parameters of the set of generator-model functions of the given source HMM comprises: determining a target-speaker vector from among the target set that is computationally nearest to parameters of the multivariate spectral PDF of the given source HMM state model in terms of a distance criterion based on one of mean-squared-error (mse) or Kullback-Leibler distance; and determining a target-speaker vector from among the target set that is computationally nearest to the multivariate excitation PDF of the given source HMM state model in terms of a distance criterion based on one of mse or Kullback-Leibler distance. | 24. The non-transitory computer-readable storage medium of claim 21 , wherein the set of generator-model functions for each given source HMM state model comprises a multivariate spectral probability density function (PDF) for jointly modeling spectral envelope parameters of a phonetic unit modeled by a given source HMM state model, and a multivariate excitation PDF for jointly modeling excitation parameters of the phonetic unit, and wherein determining for each given source HMM state model the particular target-speaker vector from among the target set that most closely matches parameters of the set of generator-model functions of the given source HMM comprises: determining a target-speaker vector from among the target set that is computationally nearest to parameters of the multivariate spectral PDF of the given source HMM state model in terms of a distance criterion based on one of mean-squared-error (mse) or Kullback-Leibler distance; and determining a target-speaker vector from among the target set that is computationally nearest to the multivariate excitation PDF of the given source HMM state model in terms of a distance criterion based on one of mse or Kullback-Leibler distance. 26. The non-transitory computer-readable storage medium of claim 24 , wherein the phonetic unit is one of a phoneme or a triphone. | 0.958466 |
9,158,833 | 1 | 15 | 1. A method for determining at least one target value of at least one target in at least one document, comprising: determining, utilizing at least one scoring application, target position information from at least one training document; using the target position information, utilizing at least one localization module, the using comprising: finding at least one reference; creating at least one reference vector for each reference; performing variance filtering on the at least one reference and the at least one reference vector from each document to obtain any similar references and any similar reference vectors from all documents; using the any similar references and the any similar reference vectors to create at least one dynamic variance network, wherein the at least one dynamic variance network is a set comprising the at least one reference and the at least one reference vector tying each reference of the set to the at least one target; and applying the target position information, utilizing the at least one scoring application, on at least one new document to determine the at least one target value of the at least one target on the at least one new document, wherein the target position information comprises the at least one reference within the training document and the at least one reference vector, each reference vector tying the at least one reference of the at least one references to the at least one target, each reference vector comprising content data indicating at least one intrinsic content type. | 1. A method for determining at least one target value of at least one target in at least one document, comprising: determining, utilizing at least one scoring application, target position information from at least one training document; using the target position information, utilizing at least one localization module, the using comprising: finding at least one reference; creating at least one reference vector for each reference; performing variance filtering on the at least one reference and the at least one reference vector from each document to obtain any similar references and any similar reference vectors from all documents; using the any similar references and the any similar reference vectors to create at least one dynamic variance network, wherein the at least one dynamic variance network is a set comprising the at least one reference and the at least one reference vector tying each reference of the set to the at least one target; and applying the target position information, utilizing the at least one scoring application, on at least one new document to determine the at least one target value of the at least one target on the at least one new document, wherein the target position information comprises the at least one reference within the training document and the at least one reference vector, each reference vector tying the at least one reference of the at least one references to the at least one target, each reference vector comprising content data indicating at least one intrinsic content type. 15. The method of claim 1 , wherein other information is also utilized to determine the at least one target value, the other information comprising: format information and possible variations of the format information; and/or key word information related to the at least one target. | 0.734962 |
8,561,069 | 1 | 5 | 1. A computer-based system capable of communication with a plurality of different types of computing sources of functionality, each computing source of functionality being a service to a user, comprising: non-transitory computer readable medium that stores a semantic service description (SSD) that is associated with a service and, each SSD based upon one or more ontologies for filtering, composing and executing the service, and is discoverable as an available service according to one or more discovery protocols, wherein an SSD further comprises: a semantic description of the service, including a semantic description of input/output parameters of the service as semantic input/output parameters, based upon the one or more ontologies, a semantic filter parameter specifying relevance of the service, based upon the one or more ontologies, and a grounding including: a service invocation interface to the service; and an input/output parameter mapping between the semantic input/output parameters and syntactic input/output interface parameters of the service and/or an input/output parameter transformation function between the semantic input/output parameters and syntactic input/output interface parameters of the service; a computer processor capable of executing: dynamically discovering any available SSDs as available services through the one or more discovery protocols to discover the SSDs; supporting real-time composition by a user of a current executable task that is a combination of two or more of the available services by dynamically presenting to the user possible services by filtering the discovered available services according to a context of the user in a computing environment for a service selection from the available services and/or according to the current composed executable task, based upon the semantic filter parameters in the SSDs of the discovered available services; and executing a task by invoking the two or more available services that comprise the task, including enabling the user to interact with an invoked available service, based upon the grounding in the associated SSDs including the service invocation interface, and the input/output mapping and/or the transformation function between the semantic input/output parameters and the syntactic input/output parameters. | 1. A computer-based system capable of communication with a plurality of different types of computing sources of functionality, each computing source of functionality being a service to a user, comprising: non-transitory computer readable medium that stores a semantic service description (SSD) that is associated with a service and, each SSD based upon one or more ontologies for filtering, composing and executing the service, and is discoverable as an available service according to one or more discovery protocols, wherein an SSD further comprises: a semantic description of the service, including a semantic description of input/output parameters of the service as semantic input/output parameters, based upon the one or more ontologies, a semantic filter parameter specifying relevance of the service, based upon the one or more ontologies, and a grounding including: a service invocation interface to the service; and an input/output parameter mapping between the semantic input/output parameters and syntactic input/output interface parameters of the service and/or an input/output parameter transformation function between the semantic input/output parameters and syntactic input/output interface parameters of the service; a computer processor capable of executing: dynamically discovering any available SSDs as available services through the one or more discovery protocols to discover the SSDs; supporting real-time composition by a user of a current executable task that is a combination of two or more of the available services by dynamically presenting to the user possible services by filtering the discovered available services according to a context of the user in a computing environment for a service selection from the available services and/or according to the current composed executable task, based upon the semantic filter parameters in the SSDs of the discovered available services; and executing a task by invoking the two or more available services that comprise the task, including enabling the user to interact with an invoked available service, based upon the grounding in the associated SSDs including the service invocation interface, and the input/output mapping and/or the transformation function between the semantic input/output parameters and the syntactic input/output parameters. 5. The computer-based system of claim 1 wherein the processor further executes saving composed executable tasks automatically, or as instructed by the user, as new available services. | 0.937157 |
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