Datasets:

patent

/

AIPD_nlp_granted_claims

like 0

Generate a child claim based on:

16. A handheld electronic device comprising: a processor apparatus including a memory having a plurality of objects stored therein, the plurality of objects including a plurality of language objects and a plurality of frequency objects, each of at least a portion of the language objects of the plurality of language objects being associated with an associated frequency object of the plurality of frequency objects; an input apparatus including a plurality of input members, each of at least a portion of the input members of the plurality of input members having a plurality of linguistic elements assigned thereto; an output apparatus; the handheld electronic device having a number of messages available thereon, each message of at least a portion of the number of messages including a number of language objects; the processor apparatus being adapted to detect at least one of a replying input and a forwarding input with respect to a message of the number of messages; the processor apparatus being adapted to detect an ambiguous input including a number of input member actuations of a number of the input members of the plurality of input members, each of at least a portion of the input members of the number of input members including a number of linguistic elements assigned thereto, at least one of the input members of the number of input members having a plurality of linguistic elements assigned thereto; the processor apparatus being adapted to make a determination that a first portion of the memory is associated with the message, the first portion of the memory including at least a portion of the language objects of the number of language objects of the message; the processor apparatus being adapted to identify in the first portion of the memory a first language object that corresponds with the ambiguous input; and the processor apparatus being adapted to output to the output apparatus an output including at least a portion of the first language object as a first proposed disambiguation of the ambiguous input.

17. The handheld electronic device of claim 16 wherein the processor apparatus is adapted to make a comparison between at least a portion of the message and a first entry in a lookup table in the memory, and is further adapted to employ the first entry in said determination that a first portion of the memory is associated with the message.

Generate a parent claim based on:

18. The apparatus of claim 15 , wherein the method further comprises storing the at least one association datum separately from the manual transcription in a synchronization file.

15. 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 for synchronizing an audio medical dictation and a manual transcription of the audio medical dictation, the method comprising: establishing a repetition frequency at which to query playback of the audio medical dictation; while the audio medical dictation is being played back and manually transcribed, repeatedly obtaining, at the established repetition frequency, a current time position of a corresponding currently played sound datum in the audio medical dictation, and a currently transcribed text datum in the manual transcription at the current time position; generating a corrected time position for the currently transcribed text datum by applying to the current time position a time correction value in accordance with a transcription delay; and generating at least one association datum indicative of a synchronization association between the corrected time position and the currently transcribed text datum.

Generate a child claim based on:

14. The one or more non-transitory computer-readable storage media recited in claim 11 , wherein the second client web service message contains a request that the server maintain a state of the execution of the XQuery expression, the method further comprising: in response to detecting the request that the server maintain the state of the execution of the XQuery expression, maintaining the state associated with the execution of the XQuery expression.

17. The one or more non-transitory computer-readable storage media recited in claim 14 , wherein the server web service message is a first server web service message and wherein the sequence of items is a first sequence of items, further comprising: sending, from the server to the client via web service communications, a second server web service message; wherein the second server web service message contains a second sequence of items; wherein the second sequence of items contains at least part of the results from execution of the XQuery expression.

Generate a child claim based on:

8. A computer program product comprising: a non-transitory computer readable storage medium readable by one or more processor and storing instructions for execution by the one or more processor for performing a method for expanding a language model corresponding to a domain, comprising: determining that one or more word of a feature vector more supports than negates a language model corresponding to the domain based on a sensitivity of respective word, the determining comprising: (i) calculating an individual confidence score for a dictionary definition corresponding to each word of the feature vector, (ii) calculating a collective confidence score based on the individual confidence score for each word and a respective half-decay; (iii) calculating a respective sensitivity of each word as a weighted measure representing how each word supports or negates the language model, based on the collective confidence score; (iv) ascertaining that the sensitivity of one of each word is greater than or equal to a sensitivity threshold; and (v) updating the language model in the corpora by adding the one of each word from the ascertaining to the language model; adding the one or more word to the language model, wherein the language model is stored in a corpora coupled to a cloud; enhancing the language model by machine learning such that the language model accurately and comprehensively facilitates an automatic speech recognition (ASR) system for the domain; and performing speech recognition on a received speech input utilizing at least the enhanced language model.

10. The computer program product of claim 8 , the enhancing comprising: crawling the live content from one or more subject website; parsing, tokenizing and tagging part-of-speech each word sequence of the live content, responsive to determining that the language of the live content is supported and that the live content is grammatically correct; assessing relevancy of each word sequence of the live content to the domain, wherein each word sequence includes one or more word; deriving the one or more secondary term from each word sequence of the live content; assessing relevancy of each secondary term from the deriving; and expanding the language model stored in the corpora with each secondary term that more supports than negates the language model, based on respective sensitivity of each secondary term and a sensitivity threshold.

Generate a parent claim based on:

14. The method of claim 13 , wherein the coordinating step includes a step selected from the group consisting of: using a first type of marking for visually identifying a data item in the display that is yet to be discussed; using a second type of marking for visually identifying a data item in the display currently being discussed; and using a third type of marking for visually identifying a data item in the display that was previously discussed.

13. The method of claim 8 , wherein the coordinating step further includes marking data items and saving an output of the presentation.

Generate a parent claim based on:

13. The method according to claim 12 , wherein the set of statistics includes bigrams and/or trigrams.

12. The method according to claim 11 , wherein adapting the site-specific language model further comprises: updating a set of statistics for the site-specific language model.

Generate a child claim based on:

18. A computer-readable storage medium encoded with computer-executable instructions for pasting data from a source document into a destination document, comprising: accessing the data to be pasted from the source document into the destination document, wherein the data includes applied formatting, wherein the applied formatting includes general formatting and direct formatting that overrides at least a portion of the general formatting; and automatically displaying a paste option menu and in response to receiving an indication to persist a portion of formatting of the data to be pasted, modifying the data to be pasted in accordance with the indication before the data to be pasted is placed within the source document by individually determining whether the general formatting and the direct formatting are to be applied, and individually modifying the general formatting and the individual formatting of the destination document in response to the determination, the modification being based on a state of the data to be pasted in the source document; wherein the modifying the general formatting and individual formatting includes determining when to selectively ignore at least one of the general formatting; direct formatting and outline structure.

20. The computer-readable storage medium of claim 18 , wherein the data to be pasted further includes an outline structure, and modifying the data to be pasted further comprises: discarding general formatting associated with the data to be pasted; persisting direct formatting associated with the data to be pasted; and persisting outline structure associated with the data to be pasted data as the structure existed in the source document.

Generate a child claim based on:

11. The method of claim 10 wherein learning to assign scores comprises: collecting sets of features from ordered target language dependency structures in the corpus; and using a machine learning technique on the set of features to produce a model for assigning scores to orderings of target language dependency structures given source language dependency structures and alignments between the source and target dependency structures.

13. The method of claim 11 and further comprising: deploying the model in a machine translation system.

Generate a child claim based on:

2. The method of claim 1 , wherein the communication accessed between first user and second user is a visual communication.

3. The method of claim 2 , further comprising operably coupling the identified entity with the selected contextually relevant action.

Generate a child claim based on:

8. An article of manufacture for generating a normalized database model from natural language expressions of business rules comprising: a machine-accessible storage medium including data that, when accessed by a machine, cause the machine to perform the operations of claim 1 .

9. The article of manufacture of claim 8 wherein the data further comprise data that, when accessed by the machine, cause the machine to perform operations comprising: for each business rule, determining whether the business rule imposes a limit that a role of a fact type has a maximum cardinality of one; and if the business rule imposes such limit, adding the role of a fact type that has a maximum cardinality of one to a third list of single-valued roles.

Generate a parent claim based on:

14. The system as in claim 12 , wherein the business process engine further comprises an interface with a database and is operable to retrieve data from the database.

12. A system, comprising one or more computers configured to implement: a hypertext transfer protocol (HTTP) server coupled to a communication network to send information to and receive information from a web browser; a business process engine configured to implement at least one business process comprising a plurality of activities, the business process engine configured to send web service requests in a web service format and to receive web service responses in the web service format, wherein the web service format takes the form of an Extensible Markup Language (XML) document; a plurality of page templates predefined in accordance with the activities of the business process, wherein the page templates take the form of Java Server Pages (JSP's); and a servlet configured to: receive, from the business process engine, a particular web service request in the form of a request XML document that is associated with a particular activity of the business process and that is intended for the web browser; determine a particular JSP that is associated with the particular activity; cause the request XML document to be converted, in accordance with the particular JSP, into a particular web page that is in a web page format that can be processed by the web browser; cause the particular web page to be sent by the HTTP server to the web browser; receive, via the HTTP server, a response from the web browser; convert the response in the web page format into a response XML document that is in the web service format; and provide the response XML document to the business process engine as a response to the particular web service request, thereby, enabling the business process engine to invoke the web browser as a web service server.

Generate a parent claim based on:

16. The method of claim 1 , wherein the set of the granular locations includes one or more non-contiguous locations.

1. A method comprising: identifying location keywords associated with granular locations; identifying geographic features associated with an area of interest that includes the granular locations; for each geographic feature of the identified geographic features: determining geo data for the geographic feature; forming a set of granular locations that is associated with the geographic feature using the determined geo data; and aggregating a set of location keywords from the identified location keywords, wherein the set of location keywords is associated with the set of granular locations to form a keyword mapping for the geographic feature; receiving an indication of a geographic location that is proximate to a user or is of interest to the user; determining, by a computer, a first one of the geographic features that includes the geographic location; and targeting content for delivery to the user using a corresponding keyword mapping for the determined first one of the geographic features, wherein the corresponding keyword mapping for the determined first one of the geographic features is formed from a corresponding aggregated set of location keywords associated with the determined first one of the geographic features, wherein the targeted content for delivery is based on at least one of granular locations outside of the determined first one of the geographic features that is closer to the geographic location than at least one of corresponding formed set of granular locations, associated with the determined first one of the geographic features, is to the geographic location.

Generate a parent claim based on:

21. The method of claim 12 , wherein the ranking of each query suggestion is based at least in part on scores of responsive instances in the knowledge base.

12. The method of claim 1 , wherein the ranking of query suggestions is based at least in part on a relationship between one of the query suggestions and the knowledge base, the ranking of each query suggestion optionally being based at least in part on scores of responsive instances in the knowledge base.

Generate a parent claim based on:

13. The method of claim 12 , further comprising the step of allowing least-frequently used rules and their associated cases to be logically moved to the bottom of the knowledge base and the case base to reduce a likelihood of selection upon further queries.

12. The method of claim 1 , wherein the step of reducting comprises the steps of: moving a rule to a logical head of the knowledge base when the step of measuring indicates that the rule was correctly fired; moving a case associated with the rule moved in the step of moving to a logical head of the case base to facilitate its selection upon further queries.

Generate a parent claim based on:

19. A speech synthesizer as recited in claim 17 wherein the digital signals stored in the first addressable memory means have been delta modulated by setting the value of the ith digitization of the sampled analog electrical signals equal to the value of the (i-1)th digitization of the sampled analog electric signals plus f(.DELTA..sub.i-1, .DELTA..sub.i) where f(.DELTA..sub.i-1, .DELTA..sub.i) is an arbitrary function having the property that changes of waveform of less than two levels from one digitization to the next are reproduced exactly while greater changes in either direction are accommodated by slewing in either direction by three levels per digitization.

17. An improved speech synthesizer of the type having first addressable memory means for storing digital signal representations of analog electrical signals which represent portions of spoken words of a predetermined vocabulary, second addressable memory means for storing first instruction signals as to the addresses in the first memory means of signals representing portions of the vocabulary words, third addressable memory means for storing second instruction signals as to the addresses in the second memory means of the sequences of the first instruction signals necessary to form selected words of the vocabulary, reproduction means responsive to a digital signal output from the first memory means for reproducing these digital signals in audible form, and control logic means for selectively, sequentially extracting the second instruction signals from the third memory means and using these extracted second instruction signals for sequentially extracting selected first instruction signals from the second memory means, and using these extracted first instruction signals to sequentially extract selected digital signals from the first memory means to audibly reproduce selected words of the vocabulary through the reproduction means, wherein the improvement comprises: the first addressable memory means stores digital signal representations of the spoken vocabulary words after having been reduced by predetermined compression techniques and the second addressable memory means further stores compression instruction signals for controlling the operation of the control logic means, the compression instruction signals corresponding to the predetermined compression techniques used to reduce the digital signal representations stored in the first addressable memory means, the control logic means being responsive to the compression instruction signals and modifying the output of first memory means in accordance with the compression instruction signals, and wherein the digital signal representations stored in the first addressable memory means and the corresponding compression instruction signals stored in the second addressable memory means are derived from the following predetermined compression techniques: (a) selected ones of the digital signals are representative of a predetermined fraction x of the latter part of the analog electrical signal within each pitch period of the spoken word, the compression instruction signals stored in the second memory means including x-period zeroing instruction signals as to the addresses of the selected ones of the digital signals in the first memory means and the control logic means includes means responsive to the x-period zeroing instruction signals for supplying to the reproduction means constant amplitude signals having durations equal to the remaining portions of the waveforms of the voiced phonemes and phoneme groups which are constituents of the predetermined vocabulary, and (b) the stored digital signals represent only one symmetric half of one selected waveform obtained by Fourier transforming the digital signals to generate a set of discrete amplitudes and phase angles, adjusting the phase angles so that on the inverse Fourier transform waveforms are symmetric, and selecting the one waveform as representative of the set of symmetric waveforms.

Generate a parent claim based on:

19. The method of claim 16 , wherein determining the separate constraint for each operator within the plurality of separate operators comprises determining the separate constraint for the operator based at least in part on determining that an operation type of the operator is at least one of a filtering operation type, a selection operation type, a projection operation type, or a join operation type.

16. A method for processing a data stream of events, the method comprising: determining that multiple portions of a continuous event processing (CEP) query can be executed concurrently relative to an event in an event stream, the determining comprising: splitting the CEP query into a plurality of separate operators; determining a separate constraint for each operator within the plurality of separate operators; and determining, based on the separate constraint for each operator within the plurality of separate operators, whether at least a part of the CEP query can be executed in a concurrent manner; executing the multiple portions of the CEP query concurrently against a first event received via the event stream in response to determining that at least part of the CEP query can be executed in a concurrent manner; and merging, into a single shared operator, (a) a first operator that is used by a first CEP query that processes at least the first event in the event stream, and (b) a second operator that is used by a second CEP query that also processes at least the first event in the event stream, in response to determining that the first operator and the second operator both perform a particular type of operation.

Generate a parent claim based on:

12. A printing system in accordance with claim 11 wherein the means for causing the readout of words comprises: (a) a means for providing the addresses of words to be sequentially read out from the font storage memory, the means for providing addresses having a counter which counts a total equal to the number of words which are contained in an individual character within an address field anywhere within font storage locations of the font storage memory and counting in ascending order from a minimum address to a maximum address when reading out in the first direction and counting in descending order from the maximum address to the minimum address when reading out in the second direction, each word having a plurality of pixels each having an address with the pixels ranging in address from a most significant pixel to a least significant pixel; and (b) means, coupled to the font storage memory, for selectively reversing the order of outputting pixels in a single word on an output having a number of lines equal to the number of pixels in a word so as to either output the pixels in a first fixed order from the most significant pixel to the least significant pixel when the direction of readout is in the first direction or in a second fixed order, opposite the first fixed order, from the least significant pixel to the most significant pixel, when the direction of readout is in the second direction the output lines being coupled to the page memory.

11. A printing system in accordance with claim 9 wherein: (a) the font storage memory has a number of individual addressable word storage locations defined by an address field extending between a minimum address and a maximum address; and (b) a subfield of contiguous addresses of the words defining a single character readable in either the first or second direction.

Generate a parent claim based on:

10. The computer program product of claim 8 , wherein an output of the neural network comprises a sequence of labels, wherein each of the sequence of labels indicates whether the keyword is present in a corresponding blocked feature vector sequence, the operation further comprising: smoothing the sequence of labels to determine whether the keyword is in the speech.

8. A computer program product to detect a keyword in speech, the computer program product comprising: a non-transitory computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code executable by a processor to perform an operation comprising: generating, from a sequence of spectral feature vectors of the speech, a plurality of blocked feature vector sequences, wherein each of the plurality of blocked feature vector sequences comprises a respective subset of the plurality of feature vectors, wherein each of the plurality of blocked feature vector sequences overlap adjacent blocked feature vector sequences by a predefined count of feature vector sequences; and generating, by a neural network, the plurality of blocked feature vector sequences to detect the presence of the keyword in the speech.

Generate a parent claim based on:

22. The method according to claim 19 , wherein the comparison of the one or more electronic uncoded documents and the electronic coded reference document set comprises: calculating a cluster center for the at least one cluster of the electronic uncoded documents based on the electronic uncoded documents in that cluster; identifying a sample comprising one or more electronic uncoded documents in the at least one cluster of the electronic uncoded documents; and comparing the cluster center and the sample to the electronic coded reference document set.

19. A method for injecting electronic coded reference documents into a cluster set as suggestions for classifying electronic uncoded documents, comprising: designating a electronic coded set of reference documents each associated with a classification code; designating clusters of electronic uncoded documents; comparing one or more of the electronic uncoded documents in at least one of the clusters of the electronic uncoded documents to the electronic coded reference document set and selecting the electronic coded reference documents that satisfy a similarity threshold with the one or more electronic uncoded documents; injecting the selected electronic coded reference documents into the at least one cluster of the electronic uncoded documents; and displaying relationships between the electronic uncoded documents and the selected electronic coded reference documents in the at least one cluster as suggestions for classifying the electronic uncoded documents, wherein each of the electronic uncoded documents are displayed via a first symbol and each of the selected electronic coded reference documents are displayed via a second symbol.

Generate a parent claim based on:

14. The system of claim 11 , wherein the text string was supplied by a user during creation of the calendar event stored by the calendar application.

11. The system of claim 10 , wherein the event alert is issued by a calendar application, and the context data is a text string associated with a previously created calendar event stored by the calendar application.

Generate a child claim based on:

8. The data processing system of claim 7 , said method further comprising: before said applying the at least one rule associated in the hierarchy with the first assessment to identify first learning activities, ascertaining that the band level of the job category is below a specified threshold band level.

9. The data processing system of claim 8 , wherein the method further comprises said processor displaying a tree structure; wherein the tree structure depicts a prompt for the user to identify the band level of the job category; wherein the tree structure depicts a prompt for the user to select the competency; wherein the tree structure identifies the selected competency, the selected competency characteristic, and the determined first assessment.

Generate a child claim based on:

29. The method of claim 28 , wherein said acts of determining, selectively retrieving and downloading are performed automatically and without user intervention.

30. The method of claim 29 , wherein said stored information comprises at least video-based advertising content.

Generate a parent claim based on:

15. The computing system of claim 1 , wherein the one or more processors, in response to execution of the computer readable code cause the computing system to perform the following: displaying results of performing the simulations and evaluations to a designer using one or more displays.

1. A computing system, comprising: one or more memories comprising computer-readable code; and one or more processors, which in response to execution of the computer readable code cause the computing system to perform the following: running an environment for designing operation of circuitry, wherein running the environment comprises performing at least the following for providing simulations and evaluations of one or more user-defined modules of circuitry comprising one or more pipeline stages in a pipeline: automatically generating a model of the pipeline by using a pipeline block diagram, where the model is generated in a high-level modeling language able to perform simulations of circuitry with the pipeline; automatically generating an interface between the one or more user-defined modules and the generated model of the pipeline, the interface comprising access to the pipeline, wherein the pipeline access allows the one or more user-defined modules to interact indirectly; performing evaluation of the one or more user-defined modules using the automatically generated model of the pipeline and the automatically generated interface; and directly connecting the user-defined modules to ports allowing the one or more user-defined modules to interact directly to replace the pipeline access between the one or more user-defined modules and the generated model of the pipeline.

Generate a child claim based on:

1. A method in a computer system for generating information retrieval tokens from an input string, the method comprising the steps of: creating from the input string a primary logical form characterizing a semantic relationship between selected words in the input string; identifying hypernyms of the selected words in the input string, at least one hypernym being identified from a group of hypernyms associated with a selected word wherein at least one other hypernym in the group is not identified; constructing from the primary logical form one or more alternative logical forms, each alternative logical form being constructed by, for each of one or more of the selected words in the input string, replacing the selected word in the primary logical form with an identified hypernym of the selected word; and generating tokens representing both the primary logical form and the alternative logical forms, the generated tokens being distinguishable by an information retrieval engine.

8. The method of claim 1 wherein the identifying step identifies hypernyms of the selected words that have coherent hyponym sets with respect to the selected words.

Generate a child claim based on:

1. A method for arranging content in an electronic page, the method comprising: identifying a plurality of objects on the electronic page; forming a membrane for each identified object by setting a geometric shape around each identified object, wherein forming the membrane comprises generating guidelines for each identified object, wherein generating the guidelines further comprises associating a gravity distance with each of the generated guidelines; receiving an entry of an insertion point in the electronic page; and aligning the insertion point based on at least one of the guidelines, wherein aligning the insertion point based on at least one of the guidelines comprises: determining a plurality of guidelines from the generated guidelines having the gravity distance extending to the point of insertion, and selecting a dominant guideline from the plurality of guidelines, wherein selecting the dominant guideline comprises: determining a guideline hierarchy associated with each of the plurality of guidelines based on the gravity distance associated with each of the plurality of guidelines and a position of the insertion point relative to each of the plurality of guidelines, and selecting the dominant guideline from the plurality of guidelines based on the determined guideline hierarchy; and aligning the insertion point relative to the selected dominant guideline.

9. The method of claim 1 , wherein forming the membrane comprises forming the membrane having handles for enabling a user to edit a corresponding identified object.

Generate a parent claim based on:

14. The system of claim 1 , wherein the location information includes a plurality of replicas of the data blocks relevant to the queries, and wherein the query planner or the query coordinator is configured to select one or more, but not all, of the plurality of replicas for execution of the query fragments.

1. A system for performing queries on stored data in a HADOOP™ distributed computing cluster having a plurality of data nodes, each data node being a computing device having processing circuitry and memory circuitry, the system comprising: a state store that tracks a status of each data node, wherein the state store is separate from the data nodes and is further coupled to a name node that tracks where file data are stored across the cluster; and a plurality of data nodes forming a peer-to-peer network for the queries, each data node functioning as a peer in the peer-to-peer network and being capable of interacting with components of the HADOOP™ cluster, each peer having an instance of a query engine running in memory, each instance of the query engine having: a query planner configured to: receive queries from clients; obtain, from the state store and the name node, (1) membership information regarding all query engine instances that are running in the cluster, and (2) location information regarding where data blocks relevant to the queries are distributed among the plurality of data nodes; parse queries from clients to create query fragments based on data obtained from the state store and the name node; and construct a query plan based on the data obtained from the state store; a query coordinator configured to distribute the query fragments among the plurality of data nodes according to the query plan; and a query execution engine configured to execute the query fragments, to obtain intermediate results from other data nodes that receive the query fragments, and to aggregate the intermediate results for the clients.

Generate a parent claim based on:

12. The method of claim 9 , wherein the free-text search tool is used to restrict the responsive navigation state to materials matching a search entered into the free-text search tool.

9. A computer-implemented method for providing an information navigation system for searching a set of materials having navigation states, the method comprising: providing information including: the set of materials, a plurality of attributes characterizing the materials, a plurality of values describing the materials, each value of the values having an association with at least one attribute of the attributes, each association defining an attribute-value pair, and a plurality of navigation states, each navigation state corresponding to a particular set of attribute-value pairs and to a particular subset of materials, wherein the particular subset of materials consists of materials in the information navigation system that are described by every attribute-value pair in the particular set of attribute-value pairs corresponding to said each navigation state, such that each material of materials in the particular subset of materials is described by every attribute-value pair in the particular set of attribute-value pairs corresponding to said each navigation state; using a data structure in a memory to permit at least some navigation states of the plurality of navigation states to be computed dynamically, wherein a first navigation state of the computed navigation states includes a first attribute-value pair having a first attribute, in which the first attribute-value pair does not describe all the materials in the navigation system that the first attribute characterizes, wherein a second navigation state of the computed navigation states includes a second attribute-value pair having the first attribute, in which the second attribute-value pair refines the first attribute-value pair, and wherein at least one of the first navigation state and the second navigation state includes a third attribute-value pair having a third attribute, which is not the same as the first attribute, wherein the third attribute-value pair is mutually incomparable with the first attribute-value pair and is mutually incomparable with the second attribute-value pair, and the third attribute-value pair does not describe all the materials in the navigation system that the third attribute characterizes; providing an interface to the navigation system, the interface including a free-text search tool, and the interface providing a plurality of transitions, each transition providing a direct path, with no intervening navigation states, between two of the navigation states, wherein said each transition represents a change from a set of attribute-value pairs corresponding to an originating navigation state to the set of attribute-value pairs corresponding to a destination navigation state, wherein series of one or more transitions provides a path between any two navigation states, there being more than one path between at least a third navigation state and a fourth navigation state, wherein the interface includes a guided search tool for enabling navigation from a current navigation state based on the plurality of transitions among the plurality of navigation states, and wherein the interface operates in an XML-based environment; searching, by using a computer, descriptive information associated with the set of materials, based at least in part on a free-text query accepted from the free-text search tool of the provided interface, to produce a set of free-text query interpretations; accepting a query to the information navigation system based at least in part on the free-text query interpretations; generating a responsive navigation state using the data structure based on the query; and presenting the responsive navigation state to a user.

Generate a parent claim based on:

6. The method of claim 1 , further comprising: maintaining the onscreen position of the topmost text element of the data while adjusting the size of each of the displayed plurality of text display blocks comprising the portions of the text displayed.

1. In a computer system including a display screen comprising a result display area of a graphical user interface, a computer-implemented method of receiving user input for changing the amount of data displayed in the result display area of the graphical user interface, the method comprising: retrieving data from a data source, the data comprising a plurality of text elements; displaying, in the result display area, a plurality of text display blocks each comprising at least a portion of the text of each of the plurality of text elements, each text display block having a size individually determined based on the amount of data to be displayed in the block; displaying in a control area of the graphical user interface distinguished from the result display area, a single control for adjusting the sizes of the displayed plurality of text display blocks; and in response to user input moving the control in the control area: adjusting the size of each of the displayed plurality of text display blocks, wherein at least two of the text display blocks have different amounts of data and are displayed having different sizes, and wherein the adjusting is dynamic, visible and concurrent with moving the control.

Generate a parent claim based on:

23. The non-transitory computer readable medium of claim 18 , wherein assembling the audio program comprises placing a segue between the first audio presentation and the second audio presentation.

18. A non-transitory computer readable medium comprising executable code that, when executed by a processor, causes a server computing system comprising one or more computing devices to perform a process comprising: retrieving a first content item from a first content source and a second content item from a second content source, wherein the first content source is different from the second content source; identifying first text-to-speech voice data based at least partly on an association between the first text-to-speech voice data and a characteristic of the first content item; generating a first audio presentation of the first content item utilizing the first text-to-speech voice data; identifying second text-to-speech voice data based at least partly on an association between the second text-to-speech voice data and a characteristic of the second content item; generating a second audio presentation of the second content item utilizing second text-to-speech voice data; and assembling an audio program comprising the first audio presentation and the second audio presentation.

Generate a parent claim based on:

8. The method of claim 7 wherein the driver parameter comprises a plurality of the driver parameters.

7. A method comprising: a processor defining a communication goal data structure, wherein the defined communication goal data structure is associated with a communication goal of explaining a status for a subject, the defined communication goal data structure comprising (1) first data that is indicative of a content block data structure associated with the communication goal data structure, the associated content block data structure comprising a parameterized model for a plurality of data components that need to be analyzed to generate a narrative and a parameterized model for a plurality of computational components for analyzing the data components to generate a narrative, and (2) second data that is indicative of a plurality of communication goal parameters whose values are variable, wherein the plurality of communication goal parameters are used by the parameterized models of the associated content block data structure; and the processor storing the defined communication goal data structure in a memory such that the defined communication goal data structure is accessible for use by a processor when automatically generating a narrative about data based on input about a communication goal to be satisfied by the automatically generated narrative; and wherein the second data comprises: a subject metric parameter; a time frame parameter; and a driver parameter for the subject metric parameter.

Generate a parent claim based on:

4. The method of claim 2 further comprising: responsive to identifying the particular language of the oral statement, determining whether the particular language is one of the default language and the translation language of the device; responsive to determining that the particular language is not one of the default language and the translation language of the device, requesting an input to provide a translation of future oral statements in the default language in at least one of the translation language of the device and the particular language; and responsive to receiving the input, providing the translation of future oral statements in the default language in at least one of the translation language of the device and the particular language.

2. The method of claim 1 further comprising: determining a location of the device; responsive to identifying the particular language of the oral statement, determining whether the particular language is a default language; responsive to determining that the particular language is the default language, determining a translation language of the device based on the location of the device, and providing the translation of the oral statement in the translation language of the device; and responsive to determining that the particular language is not the default language, providing the translation of the oral statement in the default language.

Generate a parent claim based on:

4. The method of claim 1 , wherein the proper pluralization form includes one or more different plural forms for each language.

1. At a computer system including at least one processor and a memory, in a computer networking environment including a plurality of computing systems, a computer-implemented method for applying appropriate pluralization rules to text strings, the method comprising: an act of the processor identifying a user interface (UI) text string that includes a numerical amount for which an appropriate pluralization form is to be determined, the string being represented by a resource identifier (ID); an act of receiving an indication indicating which language the text string is to be displayed in; an act of selecting an appropriate resource ID from a plurality of pre-generated resource IDs based on the numerical amount and the determined language, wherein the pre-generated resource IDs include language-specific pluralization forms for localization of the text string, at least one of the pre-generated resource IDs including a language-specific pluralization form that applies to a plurality of languages including the indicated language and at least one other language; and an act of returning the localized text string at the determined appropriate resource ID to the UI for display, such that the localized text string is presented with the numerical amount and proper pluralization in the indicated language.

Generate a child claim based on:

15. One or more computer-readable storage memory devices embodying computer-executable instructions, which, when executed, implement a site mode browser comprising: one or more navigation buttons; and a web application home button, wherein the web application home button is associated with a client-installable web application and enables navigation to a start URL associated with a web site associated with the web application.

17. The one or more computer-readable storage memory devices of claim 15 , wherein the web application home button is configured to enable branding using a primary color.

Generate a child claim based on:

3. The method of claim 1 further comprising analyzing said transaction data with respect to said spatio-temporal behavioral patterns based on clusters of said transaction data for automatic pattern discovery wherein said clusters are provided by said clustering module.

8. The method of claim 3 further comprising: saving generated clusterings with respect to said clusters in said at least one database, wherein said generated clusterings are generated by said clustering module; and visualizing said generated clusterings and said clusters via said GUI which includes a graphically displayed data visualization tool that displays said generated clusterings and said clusters.

Generate a child claim based on:

14. A non-transitory computer readable storage medium storing one or more sequences of instructions executable by one or more processors to perform a set of operations comprising: acquiring an image of an object using a camera of a computing device; determining a foreground area and a background area of the image, the foreground area including a representation of the object, applying a color to the background area; cropping the image to remove the background area from the image; analyzing the foreground area to recognize text associated with the object; receiving a selection of at least one text input field; determining a set of words from recognized text that are associated with the at least one text input field; displaying a set of words from the recognized text; and enabling a user of the computing device to select at least one word from the set of words to perform at least one operation.

16. The non-transitory computer readable storage medium of claim 14 , further comprising instructions executed by the one or more processors to perform the set of operations of: receiving a selection of a text field; receiving a selection of a word from the set of words; and populating the text field with the word selected from the set of words, wherein the text field includes at least one of a title field, a search term field, or a product description field.

Generate a child claim based on:

1. A search ranking system comprising: a hardware context miner, to determine a set of contexts based on profile of information rankable by the system and an access history of users that have accessed at least some of the information; a hardware context detector to compare an association of a user conducting a search, based on a user profile for the user conducting the search, with at least one of the contexts to thereby rank search results based on the comparison; a hardware personalized context generator to generate personalized clusters based on the contexts; and a hardware resource re-ranker to re-rank the search results based on manipulation of at least one of the personalized clusters, wherein the manipulation of the at least one of the personalized clusters is based on a determination of movement of a marker that is displayed independently of the at least one of the personalized clusters towards or away from the at least one of the personalized clusters, and wherein the manipulation of the at least one of the personalized clusters is further based on a determination of selection of the at least one of the personalized clusters after selection of a different personalized cluster from the personalized clusters.

4. The search ranking system of claim 1 , further comprising a hardware visual filters generator to generate filters related to most frequent metadata values related to a query by the user, wherein the search results are re-ranked by manipulation of co-occurring metadata values.

Generate a child claim based on:

1. A computer-implemented method, comprising: receiving, by a computing device, Devanagari text from an application of the computing device for parsing; dividing the received Devanagari text into lines and words identified with line numbers and word numbers; determining, by the computing device, a character type for a character of the Devanagari text; referencing, by the computing device, a matrix implementing a Devanagari state machine, the matrix referenced with the determined character type and a current state of the Devanagari text to produce a new state associated with the character; transmitting, by the computing device, an invalid syllable signal to the application for display on a display device to an end user of the application if the determined new state is invalid; and identifying the character in the invalid syllable signal by an associated line number and a word number if the determined new state is invalid.

2. The method of claim 1 , wherein the Devanagari state machine comprises eight states including: initial, matra, vowel, vowel modifier, halant, nukta, consonant, and invalid.

Generate a parent claim based on:

5. The method of claim 1 , wherein determining the plurality of components comprises: performing a raster scan across the image; identifying a plurality of pixels associated with at least one of the plurality of components corresponding to at least one sweep of the raster scan; and aggregating the plurality of pixels based on an interconnection between the plurality of pixels to form at least one set of connected pixels.

1. A method of preprocessing an image for optical character recognition (OCR), wherein the image comprises a plurality of columns, each column of the plurality of columns comprising text, the method comprising: determining a plurality of components associated with the text, wherein a component comprises a series of connected pixels; calculating a line height and a column spacing associated with the plurality of components; associating at least one component of the plurality of components with a column of the plurality of columns based on at least one of the line height and the column spacing; calculating a first set of characteristic parameters for each column of the plurality of columns; merging the plurality of components of each column of the plurality of columns based on the first set of characteristic parameters to form at least one of at least one sub-word and at least one word; merging a first plurality of words, subwords, or a combination thereof to be processed as a first region; merging a second plurality of words, subwords, or a combination thereof to be processed as a second region wherein at least a portion of the second region vertically overlaps at least a portion of the first region; wherein calculating a word spacing associated with each column comprises creating a histogram of spaces between consecutive components of the plurality of components associated with each column, identifying a frequently occurring space from the histogram, the frequently occurring space being within a threshold range determined by the line height, and computing the word spacing based on the frequently occurring space; and wherein calculating the line spacing associated with each column comprises creating a histogram of a plurality of horizontal projections of the plurality of components associated with each column, a horizontal projection of the plurality of horizontal projections indicating a number of pixels associated with the plurality of components corresponding to each sweep of a raster scan, calculating an average distance between two consecutive maximum horizontal projections, and computing the line spacing based on the average distance.

Generate a parent claim based on:

3. The camera as in claim 1, wherein the initial set of words or phrases are either annotation, functional or setting commands.

1. A camera comprising: (a) a camera body for providing a protective housing; (b) a display disposed on the camera body; (c) a microphone for receiving voice commands; and, (d) a microcontroller disposed in said camera body that signals said display to display initial words or phrases representative of an initial set of voice commands pre-programmed in said microcontroller, and to display a pull-down menu, upon receiving any of the initial words or phrases, containing a subset of preprogrammed words or phrases that are voice commands pre-programmed in said microcontroller, and that are further descriptive of the initial set of words or phrases.

Generate a parent claim based on:

6. The method of claim 5 , wherein the two or more components comprise at least two of a street field, a city field, a state field, a province field, a postal code field, and a country field.

5. The method of claim 1 , wherein the text of the user query corresponds to address data comprising two or more components, the method further comprising: identifying an order in which the two or more components are presented in the address data corresponding to the user query, wherein the order corresponds to a geographical region with an associated language, and wherein the identifying of the at least one language usage signal is based on the order in which the two or more components are presented in the address data corresponding to the user query.

Generate a child claim based on:

15. The non-transitory computer-readable storage medium of claim 13 , wherein the computer-executable program instructions are executable to perform issuing one or more points to the idea list acted upon by the customer based on the ranking of the idea list acted upon by the customer.

18. The non-transitory computer-readable storage medium of claim 15 , wherein the action is selected from the group consisting of viewing the first idea list, copying a product result in the first idea list to the second idea list, and buying a product in the first idea list.

Generate a parent claim based on:

17. The computer program product of claim 16 , further comprising executable code for implementing a second mode in which the word is visually distinguished from the neighboring word through a first selection process which occurs when the pointer passes over or near the word, and in which the word is audibly emphasized when the word is selected through a second selection process that comprises an action that is different from the first selection process.

16. A computer program product for implementing within a computer system a method for utilizing an electronic reader to provide output by the electronic reader at a rate corresponding to a user in order to overcome a lack of user-specific focus, the computer program product comprising: a computer-readable, non-transitory medium for providing computer program code means utilized to implement the method, wherein the computer program code means is comprised of executable code for implementing the steps for: providing, by a processor of the computer system, a text for digital access within the computer system, the computer system comprising a tactile input device and a visually perceptible output device; and emphasizing, by the processor, a word of the text when the word is selected through the use of the tactile input device, wherein the emphasizing of the word includes implementing: a first mode in which the word is visually distinguished on the visually perceptible output device from a neighboring word when a pointer passes over or near the word from any direction, and in which the word is audibly and visually emphasized at a rate determined by the user when the pointer specifically passes over or near the word in a reading direction, wherein the system is configured to require the pointer to pass over or near the word in the reading direction in order for the word to be both audibly and visually emphasized.

Generate a parent claim based on:

14. The apparatus of claim 10 , wherein the clustering is performed by a Latent Dirichlet Allocation algorithm.

10. The apparatus of claim 8 , wherein obtaining the models and classification are performed using a Gradient Boosted Decision Trees algorithm, wherein the processor and/or memory are further configured to generate a particular lexicon for a particular class by: manually classifying a sample of messages as belonging to the particular class; forming the particular lexicon from a top percentage of most frequently used tokens from the sample of messages; automatically clustering a larger sample of messages into a plurality of topics; and to the particular lexicon, adding tokens from one or more topics that also include one or more tokens from the particular lexicon.

Generate a parent claim based on:

2. A method as in claim 1 wherein the abstraction-based objects comprise motion path models of the motion of a visual object from frame to frame.

1. A method for developing a scene model from a visual image sequence containing a sequence of visual image frames, the visual image sequence including a visual representation of one or more visual objects, the method comprising the steps of: (a) analyzing portions of the visual image sequence in accordance with input parameters using a machine vision process by performing the steps of: (i) defining an image-based data object in an image-based model of the visual image sequence containing a pixel representation corresponding to a portion of at least one frame of the visual image sequence; (ii) defining an abstraction-based data object in an abstraction-based model of the visual objects containing an abstract representation of at least a portion of one of the visual objects represented by the visual image sequence; and (iii) storing a link data object in a correlation mesh data structure indicating a correspondence between the image-based data object and the abstraction-based data object; (b) refining an abstraction-based model of the visual imago sequence by performing the steps of: (i) accepting input parameters to define in the abstraction-based model of the visual objects a new abstraction-based data object containing a new abstract representation of at least a portion of one of the visual objects contained in the visual image sequence that differs from the abstract representations contained in abstraction-based objects defined in the analysis step (a); and (ii) adding a link object in the correlation mesh data structure indicating a correspondence between the new abstraction-based data object and another data object defined in the scene model; and (c) iteratively improving the scene model by performing certain selected ones of steps (a) through (b) in an order as specified by user input until a desired level of refinement is obtained in the scene model such that selected link objects in the correlation mesh data structure added in iterations of the refining step (b) are used to provide additional input parameters to subsequent iterations thereby allowing the scene model to converge.

Generate a parent claim based on:

19. The computer-readable storage device of claim 17 , wherein the native speech represents a class of speakers.

17. A computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising: identifying an acoustic model, wherein the acoustic model is trained on native speech in a target dialect; transcribing collected speech from a speaker, to yield a lattice of plausible phonemes which depend on a property of the target dialect; and replacing each phoneme in the acoustic model with a modified phoneme, wherein the modified phoneme is a weighted sum of plausible phonemes in the lattice of plausible phonemes.

Generate a child claim based on:

1. A computer implemented method for keeping and finding information, comprising: a textual search engine, responsive to a user query comprising a search term, using a semantic vector to promote any of documents and sites that contain other, closely related terms that strongly correlate with said search term, wherein a semantic vector of a term comprises a global frequency of said other, closely related terms within a corpus that is used to compute said semantic vector relative to said search term; a processor generating a social graph for said user in which connections for said user comprise hyper-dimensional relationships based on semantic vectors that link said search term with a collection of said other, closely related terms; said processor applying a personalized semantic vector for said user to said social graph, wherein said personalized semantic vector comprises a subset of said corpus that is personal to said user, said processor determining said personalized semantic vector by taking into account only documents and sites that said user has strong engagement with, and by which said user's personal semantics are determined when related to a specific term; and an expert network applying said user's personalized semantic vector to locate experts in said user's social graph based on a user query topic: wherein said expert network comprises a network between individuals that describes how they are related to each other in terms of expertise; wherein said expert network identifies said user's intent and identifies experts for said term among said user's connections; and wherein when a connection is considered an expert for said user, documents and sites that said connection kept are recommended to said user.

4. The method of claim 1 , further comprising: providing a find engine for examining links returned in response to said query; and said find engine promoting links to said user when said links were kept by said user's connections; wherein a stronger preference is shown for promoting links kept by experts said identified by said expert network in user's social graph.

Generate a parent claim based on:

2. The method of claim 1 , wherein the location information includes a location of the physical sports player in a live physical sports event or a previously recorded physical sports event.

1. A method performed by a computer system that has a processor and a memory to simulate a physical sports event, the method comprising: receiving, from the physical sports event, one or more attributes that correspond to participation of a physical sports player in the physical sports event, wherein the one or more attributes include at least one attribute related to an actual present occurrence during the physical sports event, and wherein the at least one attribute includes location information that corresponds to a present location of the physical sports player during the participation in the physical sports event; receiving one or more parameters that include information usable to predict future behavior of the physical sports player, wherein the one or more parameters are received in response to the at least one attribute being presented, as a stimulus for the future behavior, on a display; starting a simulation of the physical sports event in a virtual context, in which physical entities in the physical sports event are simulated from a situation similar to that of the physical sports event at a time of the start of the simulation, wherein the physical entities include the physical sports player, and wherein a simulation of the physical sports player is based, at least in part, on the one or more parameters, the location information that corresponds to the present location of the physical sports player, and the predicted future behavior of the physical sports player that participates in the physical sports event; enabling participatory user control of the simulated physical sports player in the simulation of the physical sports event; enabling control of an action by at least one of the simulated physical entities, other than the simulated physical sports player, in the simulation of the physical sports event; and controlling the simulation of the physical sports event with the simulated physical sports player under the participatory user control in accordance with the predicted future behavior, and with the controlled action by the at least one of the simulated physical entities other than the simulated physical sports player.

Generate a child claim based on:

35. The method of claim 26 , further comprising: receiving by at least a first processor-based server system information about the plurality of attributes for each of the entities of the second set of entities; and presenting to the first entity a plurality of messages sent to the first entity by other ones of the entities in a ranked order, the ranked order reflecting a strength of a pairing between at least the first entity and the other ones of the entities.

36. The method of claim 35 wherein presenting to the first entity the plurality of messages sent to the first entity by other ones of the entities in the ranked order includes setting an importance flag of a message.

Generate a parent claim based on:

9. The computer readable storage medium of claim 1 , wherein the executable instructions to perform a line comparison comprise executable instructions to apply a line-by-line comparison to the normalized first and second documents.

1. A computer readable storage medium comprising executable instructions to: receive a first document and a second document coded in a markup language; parse the first and second documents to identify block elements in each document; apply a rules-based, multi-scan markup code reduction normalizer to the first and the second documents to create a normalized first document and a normalized second document maintaining the visual formatting of the first and second documents and having separate lines corresponding to the block elements in each document, the normalized first and second documents coded in the markup language; wherein the markup code reduction normalizer scans for and removes any markup code head element, reference to scripts, intradocument link, and relative URL, and then performs character-by-character processing except for identified pre-formatted text; perform a line-by-line comparison between the normalized first and second documents to find differences; and generate a comparison document coded in the markup language and preserving the visual formatting of one of the first and second documents to record the differences.

Generate a parent claim based on:

21. The system of claim 19 , wherein to train the first ranking model using the recency features and the relevance features comprises: access a set of relevance ranking data comprising one or more search queries and one or more search results, each of the search results being generated for one of the search queries and comprising one or more network resources; construct the relevance features from the set of relevance ranking data; determine a first weight for the recency features and a second weight for the relevance features, the first weight indicating a first level of influence the recency features have on training the first ranking model, the second weight indicating a second level of influence the relevance features have on training the first ranking model; and apply the recency features according to the first weight and the relevance features according to the second weight to the first ranking model via machine learning.

19. The system of claim 13 , wherein to train the first ranking model via machine learning comprises train the first ranking model using the recency features and a plurality of relevance features.

Generate a parent claim based on:

11. The document editing apparatus according to claim 8 , wherein the processor is further configured to: determine a superimposition area of the extracted object and an object hierarchically higher than the extracted object; and convert information included in the superimposition area of the extracted object into the different information.

8. A document editing apparatus for editing an electronic document including a plurality of hierarchically arranged objects, comprising: a storage to store an original electronic document including the hierarchically arranged objects representing one of a text, an image, a drawing, and a table; and a processor, the processor configured to: extract an object to be masked in an area specified by a user from the original electronic document stored in the storage; determine whether the extracted object is superimposed by the user specified area serving as a masking area of a target document input by a user; convert, into different information, information included in an area of the object determined to be superimposed by the user specified area to generate a processed electronic document; and store the processed electronic document in the storage.

Generate a parent claim based on:

4. The information processing device according to claim 3 , wherein said expression is a first language expression described in a first language, said explanation data is in a second language expression that expresses each of said plurality of keywords in a second language different from said first language, and said data for display of each of said two or more of said plurality of keywords having said first language expression in common and differing in said second language expression contains said first language expression and said data for distinction.

3. The information processing device according to claim 2 , wherein said data for display contains an expression of one of said plurality of keywords, and said data for display of each of two or more of said plurality of keywords having said expression in common further contains data for distinction specific to each of said two or more of said plurality of keywords.

Generate a child claim based on:

74. The method of claim 56 , wherein said address card is incorporated into said publisher's address book from which said selected subscribers' e-mail addresses are extracted, and wherein said address book comprises a virtual button, by selecting a screen name from said address book and then clicking said virtual button, said publisher is prompted to a screen of an editable address card where said publisher completes the contact information of a new contact associated with said selected screen name.

86. The method of claim 74 , wherein when a subscriber forwards said publisher's address card to a third party, a one-time copy of said publisher's address card is added to said third party's address book upon said third party's acceptance.

Generate a parent claim based on:

13. The system of claim 12 wherein after responses from each of the set of approvers are received, an outcome of the requested decision is received.

12. A system comprising: one or more computers associated with an enterprise portal; and a non-transitory computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving a request for a decision at a decision manager system, the received request associated with a unique identifier; classifying the request based on metadata associated with the received request; identifying a decision approval rule set based on the classified request, the decision approval rule set identifying a set of approvers and a defined schedule associated with routing requests to the set of approvers; identifying at least one prior approval associated with the unique identifier associated with the received request, the at least one identified prior approval associated with at least one approver among the identified set of approvers, wherein the at least one identified prior approval corresponds to at least one approval associated with a prior related request to the received request; and reducing time and resources consumed in reaching the decision by applying the at least one prior approval to the decision associated with the received request and automatically updating, at the decision manager system, the set of approvers by automatically applying the at least one prior approval associated with the request in association with the corresponding at least one approver and removing the at least one approver from the set of approvers in the defined schedule associated with routing requests to the set of approvers before sending the request to any approver in the set of approvers; and wherein the identified decision approval rule set defines at least one rule determining when a prior approval of at least one approver is no longer valid based on subsequent actions by at least one other approver in the set of approvers, the operations further comprising, in response to determining that the prior approval of the at least one approver is determined to be no longer valid: removing the at least one prior approval from being applied to the decision associated with the received request and automatically updating the set of approvers to include the at least one approver associated with the no longer valid prior approval and updating the defined schedule routing of requests to include the at least one approver associated with the no longer valid prior approval.

Generate a parent claim based on:

22. The system of claim 9 , wherein the processing resources are configured to move the partitions through a caching storage hierarchy of the processing resources without adjusting or encoding memory references therein.

9. A system for processing XML documents, comprising: processing resources including at least one processor, a memory, and a non-transitory computer readable storage medium; wherein the processing resources are configured to: parse an XML document into a plurality of constituent nodes, the XML document including a plurality of Document Object Model (DOM) objects representable in accordance with an object model; store the parsed constituent nodes and associated metadata in a plurality of partitions, wherein a first node of the parsed constituent nodes and associated metadata is stored in a first partition of the plurality of partitions and a second node of the parsed constituent nodes and associated metadata is stored in a second partition of the plurality of partitions, and each said partition having an associated commit level that initially is set to 0; store, for each said partition, an identifier thereof in a partition table list, the identifier(s) in the partition table list collectively identifying the working contents of the XML document, the partition table list initially being designated as a current partition table list and initially being designated as having a current commit level of 0; in response to a request for an atomic update to the XML document: push onto a stack, configured to hold one or more previous partition table lists, a copy of the current partition table list; increment the current commit level; determine whether a given partition's contents are changed as a result of the atomic update and whether the commit level associated with the given partition does not match the current commit level; and when a given partition's contents are changed as a result of the atomic update and the commit level associated with the given partition does not match the current commit level, copy the given partition's contents to create a new partition with the changed contents and replace the identifier for the given partition in the current partition table list with an identifier for the new partition; and in response to an atomic update being completed: pop from the stack the uppermost partition table list, the popped partition table list being a candidate partition table list; determine partitions in the current partition table list that have associated commit levels that match the current commit level into the candidate partition table list; copy identifiers for any partitions in the current partition table list that have associated commit levels that match the current commit level into the candidate partition table list; replace the current partition table list with the candidate list; and decrement the current commit level.

Generate a child claim based on:

15. A computer-implemented recognition method, performed by a computer system executing machine-readable instructions, the method comprising acts of: receiving a recognition grammar composed of separate context-specific grammars each covering a specific subset of an original task space, for processing an utterance input; recognizing the utterance input in parallel paths using a corresponding context-specific grammar for each path; generating an intermediate recognition result from each path; generating a dynamic grammar utilizing the intermediate recognition result from each path; performing regression analysis to assign relative weights to each of the recognition paths in the dynamic grammar and to determine a final recognition result; and configuring a microprocessor to execute instructions in a memory associated with the acts of receiving, recognizing, generating the intermediate recognition, generating the dynamic grammar, and performing.

17. The method of claim 15 , further comprising: inputting other domain knowledge during reconciliation of the intermediate recognition results by re-recognition; and imposing one or more rules to generate the final recognition result.

Generate a child claim based on:

1. An apparatus, comprising: a device including at least one input device, at least one display, and memory in communication with at least one hardware processor; and a browser installed on the memory of the device for allowing access, utilizing the at least one input device and the at least one hardware processor, to a system including a hardware server, the system configured for: identifying at least parts of a plurality of original documents including a plurality of original values, the plurality of original documents including a first document including first values and a second document including second values; processing at least a part of the first document and at least a part of the second document, resulting in at least one data structure including at least one of the plurality of original values of at least one of the plurality of original documents; receiving one or more indications for one or more of the original values for adding, in connection with at least one computer-readable Extensible Markup Language (XML)-compliant data document, a corresponding one or more computer-readable semantic tags in association with the one or more original values; associating the one or more computer-readable semantic tags with the one or more original values such that the one or more computer-readable semantic tags are each computer-readably associated with the one or more original values; causing output of a presentation that is based on at least a portion of the at least one data structure, the presentation capable of including at least a portion of the original values including the at least one original value, where the system is configured such that, based on the at least one data structure, a change to the at least one original value results in a corresponding change in a subsequent output of the presentation; causing output of a report that is based on at least a portion of the at least one data structure, the report capable of including at least a portion of the original values including the at least one original value, where the system is configured such that, based on the at least one data structure, a change to the at least one original value results in a corresponding change in a subsequent output of the report; and causing output of the computer-readable XML-compliant data document that is based on at least a portion of at least one data structure, the at least one computer-readable XML-compliant data document capable of including a plurality of line items at least one of which utilizes at least a portion of the original values including the at least one original value and at least some of the one or more computer-readable semantic tags, where the system is configured such that, based on the at least one data structure, a change to the at least one original value results in a corresponding change in a subsequent output of the at least one computer-readable XML-compliant data document; said apparatus configured for: receiving user input utilizing the browser, and displaying the at least one computer-readable XML-compliant data document utilizing the browser, after the user input.

39. The apparatus of claim 1 , wherein the system is configured such that the change to the at least one original value that results in the corresponding change in the subsequent output of the report, is a change to the at least one original value in connection with the one or more of the plurality of original documents prior to the subsequent output of the report.

Generate a parent claim based on:

17. The system of claim 16 , wherein the one or more edge attributes comprise: at least one from a group consisting of registrant information, name server information, expiration dates, registration dates, website traffic information, website type information, website language information, country information, and website content information.

16. The system of claim 13 , wherein the registrar-to-hosting-provider graph is a directed graph with the edges directed from the nodes representing the hosting providers to the nodes representing the registrars.

Generate a parent claim based on:

9. The electronic device of claim 7 wherein the plurality of objects further comprise a number of candidates, and wherein the operations further comprise: making a determination that at least a portion of a particular candidate matches the at least portion of the string of reference characters; and responsive to the making of the determination, storing the at least portion of the string of reference characters as at least a portion of a segment.

7. An electronic device comprising: a processor apparatus that comprises a processor and a memory having stored therein a plurality of objects that comprise a number of raw inputs, a number of characters, and a number of segments, each raw input having one or more of the characters associated therewith, each segment comprising a plurality of the characters, the memory further having stored therein a number of routines which, when executed on the processor, cause the electronic device to perform operations comprising: receiving a string of reference characters; obtaining the raw inputs with which the reference characters are associated; generating a proposed character interpretation of the obtained raw inputs; determining that at least a portion of the proposed character interpretation and a corresponding at least portion of the string of reference characters differ; and responsive to the determining, storing the at least portion of the string of reference characters as an object of the plurality of objects.

Generate a child claim based on:

18. A computer-readable medium containing instructions executable by at least one processing system, the computer-readable medium storing instructions to: receive text authored by a user to create a text message; interpret a meaning of the text; obtain a facial expression of the user; determine a mood of the user based on the facial expression of the user; obtain contextual information, wherein the contextual information comprises at least one of time of day, day of the week, whether it is a holiday, a user location, or a social relationship between the user and a recipient of the text message; select a classification for the text message based on the meaning of the text, the mood of the user, and the contextual information; determine whether a confidence value associated with the classification exceeds a threshold value; display text enhancements for the text message from which the user can select, wherein the text enhancements are based on the classification; receive a user selection for the text enhancements; include the user selected text enhancements with the text message; and send the text message with the text enhancements to the recipient.

20. The computer-readable medium of claim 18 , when obtaining the social relationship between the user and the recipient, the computer-readable medium further storing one or more instructions to: access a social network associated with the user; determine the social relationship between the user and the recipient based on the accessing; and associate social relationship information with a contact entry of a contacts list stored by the user device.

Generate a parent claim based on:

5. The device of claim 1 , wherein the localization results comprise a translation of the multiple resources in the plurality of languages.

1. A device comprising: one or more processors; and one or more computer-readable storage media embodying computer readable instructions including: a resource analysis utility that is configured to: enable selection of multiple resources; analyze the multiple resources according to one or more localization rules to determine if one or more localization problems exist with the multiple resources, the localization rules having one or more conditions and being configured to detect a pattern associated with the multiple resources; generate one or more pseudo-localized versions of the multiple resources; and determine a pattern variation across the one or more pseudo-localized versions of the multiple resources; a graphical user interface (GUI) that enables resource files to be selected and rules to be selected that are to be used to analyze the resource files; and a reporting module that is configured to output localization results in a plurality of languages for one or more of the multiple resources, the localization results being a report displayable in the GUI responsive to selection of a report control configured to present a plurality of reporting functionalities.

Generate a child claim based on:

1. A system for processing narration audio data, the system comprising: a data store that stores transcript text comprising words to be narrated by a user; and a computing device in communication with the data store and that is operative to: cause display of at least a portion of the transcript text; receive initial narration audio data corresponding to words of the displayed transcript text narrated by the user; store the received initial narration audio data in an audio data file; align each word of the initial narration audio data with a corresponding word of the transcript text; receive an indication of one or more words of the transcript text to be re-recorded based at least in part on a selection by the user of the one or more words within a displayed portion of the transcript text, wherein the one or more words have been arbitrarily selected by the user regardless of breakpoints in the transcript text; receive replacement narration audio data corresponding to the one or more words of the transcript text to be re-recorded; and incorporate the replacement narration audio data into the audio data file based at least in part on the alignment of the one or more words in the initial narration audio data, such that the audio data file comprises (a) at least a portion of the initial narration audio data before the one or more words, (b) the replacement narration audio data corresponding to the one or more words, and (c) at least a portion of the initial narration audio data after the one or more words.

2. The system of claim 1 , wherein the transcript text corresponds to the text of a book.

Generate a parent claim based on:

13. The method of claim 12 , wherein each URL fingerprint comprises a value produced by applying a one way mapping function to an address associated with a document in the collection of documents.

12. The method of claim 1 , wherein the globally unique identifiers are URL fingerprints.

Generate a child claim based on:

5. The method for facilitating semantic event classification as claimed in claim 4 , wherein the extracting of a plurality of visual features includes extracting a keyframe from the video segment and extracting the plurality of visual features from both the keyframe and the digital still image.

6. The method for facilitating semantic event classification as claimed in claim 5 , wherein the generation of the concept scores includes generating initial concept scores for each keyframe and each digital still image corresponding to each of the extracted visual features.

Generate a child claim based on:

1. A method for reproducing a 2D drawing from an annotated 3D computer-aided design (CAD) model, the method comprising: receiving, at a processing circuit, an annotated 3D CAD model of a physical part or assembly; generating, by the processing circuit, a 2D drawing of the physical part of assembly using the annotated 3D CAD model; receiving, at the processing circuit via a user interface, a modification to the 2D drawing; storing, by the processing circuit, the modification to the 2D drawing as 2D drawing parameters within the annotated 3D CAD model to amend the annotated 3D CAD model, wherein the 2D drawing parameters provide instructions for reproducing the 2D drawing including the modification, such that the 2D drawing is not saved; and reproducing, by the processing circuit, the 2D drawing including the modification using the 2D drawing parameters within the annotated 3D CAD model.

2. The method of claim 1 , wherein the modification to the 2D drawing comprises supplemental content not included in the annotated 3D CAD model prior to being amended.

Generate a child claim based on:

1. A method carried out by a first community question-answer (CQA) server comprising: collecting a plurality of first questions and corresponding first answers as a plurality of first question-answer (q-a) pairs; selecting a second question and a plurality of candidate second answers as a plurality of candidate second question-answer (q-a) pairs for making a determination of answer quality; identifying a set of the first questions that are similar to the second question; determining first linking features between the identified set of first questions and the corresponding first answers; comparing the first linking features with second linking features determined between the second question and each of the candidate second answers for predicting analogous linking features; and ranking the candidate second answers based on the comparing.

5. The method according to claim 1 , further comprising: connecting said first CQA server with a second CQA server over a network, said second CQA server containing a question-answer database, wherein the collecting the first q-a pairs further comprises extracting at least some of the first q-a pairs from the second CQA server over the network.

Generate a child claim based on:

6. An image log management method comprising: (a) storing correspondence relationship information between an identifier of an input document subject to image forming processing, an identifier of one or more output documents resulting from the image forming processing of the input document, and an identifier of image log data of the one or more output documents; (b) storing the image log data of the one or more output documents; (c) inputting document disposal information including an identifier of a disposal document that has been disposed of; (d) changing, based on the document disposal information, a status of a document corresponding to the disposal document to disposal-complete; and (e) selecting, based on the status of the document corresponding to the document disposal information and based on one or more identifiers of input or output documents stored in the correspondence relationship information, image log data requiring deletion and executing deletion processing thereon, wherein when all of the one or more output documents, processed by the image forming processing with the disposal document as the input document, have their respective status changed to disposal-complete, the image log data of the one or more output documents is deleted.

18. The image log management method of claim 6 , wherein the image log data comprises a representation of the one or more output documents.

Generate a parent claim based on:

9. The method of claim 1 further comprising a dictionary of words, and further comprising, filtering out queries already handled in the dictionary.

1. In a computing environment, a method comprising, processing a log of queries to obtain new words for a dictionary, including: selecting a set of queries based upon language from the log of queries; filtering out queries that are infrequent in the selected set of queries obtained from the log; translating queries in the log of queries to pinyins using a query-to-pinyin model; clustering queries corresponding to a common pinyin; in each cluster of queries with a common pinyin, sorting the queries by frequency; filtering out queries that have a low frequency in each cluster; eliminating any remaining query corresponding to words that are not new to the dictionary; and adding words that are new to the dictionary to the dictionary.

Generate a parent claim based on:

4. The method of claim 3 , wherein the function of the first and second scores determines a product of the first and second scores.

3. The method of claim 1 , further comprising: identifying a second query term, of the query; identifying a second pinnacle concept property of the second query term; identifying a second set of occurrences of the first query term in the record; identifying a second set of sub-units of the record, wherein each sub-unit contains a member of the second set of occurrences; assigning a set of pinnacle concepts to each member of the second set of sub-units, wherein a pinnacle concept is a member, of a set of pinnacle concepts, if the pinnacle concept is asserted by the sub-unit, of the second set of sub-units, to which it is assigned; assigning a second score to the second query term as a function of the second pinnacle concept property and second set of sub-units; and assigning a score, for ranking the record, as a function of the first and second scores.

Generate a parent claim based on:

14. The non-transitory computer-readable storage medium of claim 12 , the operations further comprise: unmasking the associated metadata for at least one object based on the evaluating; and presenting the hierarchical data model, wherein the associated metadata is exposed to a user as a function of the evaluating.

12. A non-transitory computer-readable storage medium having stored thereon computer-executable instructions that, in response to execution, cause a computing device including a processor to perform operations, comprising: retrieving a set of objects and associated metadata from an object library, wherein the set of objects are recommended for a hierarchical data model that facilitates an extensible design environment for consistency during object design and object deployment, and wherein the retrieving is performed in response to a query; determining whether a defined object is an appropriate alternative to the set of objects to retrieve in response to the query, wherein the determining comprises evaluating the metadata and selecting the defined object based on a selection of the metadata and an association between the metadata and the defined object; outputting as a suggested alternative to the query, the defined object; receiving a selection of one or more objects from the set of objects; applying a rule to the selected one or more objects, wherein the set of rules provides object inheritance of the associated functionalities, and the set of rules relate to a company, an industry, a customer or a regulation; determining at least one object of the selected one or more objects is validated by the rule; incorporating the at least one object into the hierarchical data model; evaluating a request for the hierarchical data model, wherein the request comprises user identity information; and masking the associated metadata for the at least one object as a function of the evaluating based on user identity information, wherein the masked associated metadata is hidden from a user.

Generate a parent claim based on:

14. The computer program product of claim 12 , wherein the program code for generating an electronic form comprises a set of instantiable object classes corresponding to a set of form components.

12. A computer program product comprising program code recorded on a computer usable storage recording medium, for controlling a data processing apparatus to dynamically generate an electronic form, the program code comprising: program code, responsive to an input form descriptor code that comprises a plurality of characters representing components of an electronic form, for comparing the characters of the input form descriptor code with stored mappings between characters and electronic form components to determine required components; and program code for generating an electronic form that comprises the determined required form components.

Generate a child claim based on:

5. The method of claim 1 wherein the predetermined set of lexical items comprises a set of lexical items for representing characters of an Asian language.

6. The method of claim 5 wherein at least some characters of the Asian language are represented by a sequence of multiple lexical items of the predetermined set.

Generate a parent claim based on:

10. The apparatus of claim 7 wherein the elements are letters of an alphabet.

7. A history apparatus for use in a computer system which includes a computer processor and a memory operatively coupled to the computer processor, the history apparatus comprising: a user interface which converts signals generated by a user to user data which is stored in the memory and which has a user data description, the user data description comprising one or more instances of one or more selected elements of a collection of two or more elements; a history database, operatively coupled to the user interface, the history database comprising two or more categories, each of which is associated with a respective one of two or more elements of the collection; a user data classifier, operatively coupled between the user interface and the history database, for storing the user data in the history database in a selected one of the categories which is associated with one of the selected elements; and a user data retriever, operatively coupled to the history database, for retrieving user data from the history database, the user data retriever comprising: a category selector, which is operatively coupled to the user interface and which specifies, in response to signals generated by a category selection gesture of the user, a selected one of the two or more categories; and a user data selector, which is operatively coupled to the user interface and which specifies, in response to signals generated by a user data selection gesture of the user, selected user data of the select category.

Generate a parent claim based on:

30. The method of claim 29 , wherein the specifying the class network includes specifying class properties, and wherein the scheme for navigating uses constraints on the class properties to navigate from the class to the second class.

29. The method of claim 1 , wherein the domain designates a scheme for navigating from the class to a second class.

Generate a parent claim based on:

5. The computer program product of claim 4 , wherein the instantiated chat application is displayed with the electronic document such that the chat application is superimposed over and substantially the same size and shape as the at least one content portion of the served electronic document.

4. The computer program product of claim 3 , further comprising code for serving the identified identifier contemporaneously with the electronic document, wherein the served identifier forms at least a part of the at least one link.

Generate a parent claim based on:

14. The computer program product of claim 13 , wherein the search query is generated using at least two query portions that each specify a range of values, the at least two query portions having a common preconfigured attribute and associated using a logical OR operator.

13. The computer program product of claim 9 , further comprising instructions that when executed receive a query portion that specifies a range of values, the range comprising a lower range limit and an upper range limit, wherein the query portion comprises a single search statement that is displayed on a single line in the graphical computer user interface.

Generate a child claim based on:

12. The computer program product of claim 11 , wherein the collection of documents is generated by a query request.

14. The computer program product of claim 12 , wherein the contents of the documents are represented by, at least in part, (i) respective titles and (ii) respective particular sentences, each of the particular sentences containing a query word that is in the query request.

Generate a child claim based on:

1. A method for speech parameterization and coding of a continuous speech signal, comprising: receiving a continuous speech signal representing speech recorded by at least one microphone, dividing said continuous speech signal into a plurality of speech frames, and for each one of said plurality of speech frames: modeling said speech frame by a first harmonic modeling to produce a plurality of harmonic model parameter values, wherein said first harmonic modeling is estimated by computing a cost function between a plurality of sine function signals and said speech frame, wherein each of said plurality of sine function signals comprises one of a plurality of harmonic frequencies, an amplitude value and a phrase value; reconstructing an estimated frame signal from said plurality of harmonic model parameter values; subtracting said estimated frame signal from said speech frame to produce a harmonic model residual signal; performing at least one second harmonic modeling analysis on said first harmonic model residual to determine at least one set of second harmonic model component values; removing said at least one set of second harmonic model component values from said first harmonic model residual signal to produce a harmonically-filtered residual signal; and processing said harmonically-filtered residual signal with analysis by synthesis techniques to produce vectors of codebook indices and corresponding gains, and sending said plurality of harmonic model parameter values and said codebook vector indices and corresponding gains to a speech processor configured to compute at least one of a speech transformation, a signal compression and a conversion to an audible sound output.

7. The method of claim 1 , wherein said speech frame is spectrally whitened after said first harmonic modeling, and said spectrally whitening is reversed prior to said speech coding analysis.

Generate a parent claim based on:

11. The system of claim 1 wherein the graphical design environment stores symbol templates within the graphical symbol library within application-specific containers.

1. A programmed computer system for designing animated visualization interfaces including associations between graphical symbols and components of a process control system application, the system including: a processor; a graphical symbol library for maintaining a set of graphical symbol templates wherein the graphical symbol templates each comprise: a graphics definition including graphics data for generating a graphical symbol, and a reference to an application component data source type, the reference facilitating identifying candidate application components for creating an association between a graphical symbol instance created from a graphical symbol template and one of the candidate application components; and a graphical symbol design environment including a visualization interface design tool facilitating: designating the graphical symbol template, from the graphical symbol library, from which the graphical symbol instance is created, specifying an application component corresponding to the reference to an application component data source type, and creating an association between the graphical symbol instance and the specified application component, wherein the association facilitates providing data from the application component for driving an animation characteristic of the graphical symbol instance.

Generate a parent claim based on:

2. The method of claim 1 , further comprising: visually presenting within said multimodal interface a prompt for speech input; receiving the speech input from the user; and, visually presenting within said multimodal interface a confirmation of the speech input.

1. A method for use with a multimodal computing device capable of displaying visual messages comprising the steps of: providing a multimodal interface that includes an audio interface and a visual interface; sampling for a background noise to produce a sampled noise level; comparing the sampled noise level with a first predetermined noise threshold; in response to determining that the sampled noise level is above the first predetermined noise threshold, enabling interaction with the user via the visual interface by providing at least one visual prompt for user input; comparing the sampled noise level with a second predetermined noise threshold; and in response to determining that the sampled noise level is below the second predetermined noise threshold: disabling interaction with the user via the audio interface; enabling interaction with the user via the visual interface; determining whether earphones are connected to the multimodal computing device; and when it is determined that earphones are connected to the multimodal computing device, re-enabling interaction with the user via the audio interface.

Generate a parent claim based on:

9. The computer method of claim 1 wherein the materiality grades are defined in synonymous terms.

1. A computer method of enterprise risk management comprising: defining a hierarchical organizational model, with a server, to represent an enterprise, the model having a master level and one or more levels subordinate to the master level, the master level having plural materiality grades and plural probability grades, each subordinate level including one or more entities having a reporting relationship to one of the entities in the preceding level, each entity having plural materiality grades; collecting risk information comprising plural risk items via a browser interface, each risk item associated with a particular entity in the hierarchical organizational model and having a materiality measure and a probability measure; storing the collected risk information in a risk information database; upon input from a user indicating approval for release of collected risk information, releasing said risk information to a next higher level in the hierarchical organizational model for review and approval by an other user through the browser interface; collecting a risk synonym for at least one of the plural master level materiality grades, the risk synonym tying the materiality measure to a language of the particular entity in the hierarchical organizational model; displaying selected portions of the collected risk information, via the browser interface, in an output view that for each selected risk item relates the probability measure to the plural probability grades and the materiality measure to either the plural master level materiality grades or the plural entity level materiality grades depending on a selected level.

Generate a parent claim based on:

24. The device as set forth in claim 17 , wherein the one or more processors are further configured to be capable of executing the programmed instructions stored in the memory to request a client to provide the internet protocol version value when the internet protocol version value is not present in the DNS request.

17. An application traffic manager apparatus comprising memory comprising programmed instructions stored in the memory and one or more processors configured to be capable of executing the programmed instructions stored in the memory to: determine when a DNS request to resolve a hostname comprises a domain name with a value indicating a type of internet protocol version; truncate the internet protocol version value from the DNS request when the domain name and the internet protocol version value is present and prior to querying at least one of a plurality of servers for an internet protocol address associated with the DNS request; receive the internet protocol address from the at least one of a plurality of servers; determine when a format of the received internet protocol address conforms to one or more policies; and perform one or more actions based on the determination of the conformance of the received internet protocol address.

Generate a child claim based on:

16. The system of claim 11 , wherein the one or more hardware processors are further configured to identify a relevant portion of the second text data based on the determined degree of correlation between the at least a portion of the second text data and a portion of the first text data being greater than a threshold degree of correlation.

17. The system of claim 16 , wherein the one or more hardware processors are further configured to: determine a degree of correlation between the relevant portion of the second text data and a relevant portion of third text data of a second user comment of the plurality of comments associated with the video; and generate an aggregate comment by associating the first user comment and the second user comment upon determining that the degree of correlation between the relevant portions is over a second threshold degree of correlation.

Generate a child claim based on:

1. A method comprising, by a computing device: receiving, from a client device of a first user of an online social network, an unstructured text query comprising an ambiguous n-gram, the online social network being associated with a plurality of objects; identifying one or more objects corresponding to the ambiguous n-gram based on a calculated probability that the n-gram correspond to the identified objects; generating a first set of structured queries, each structured query from the first set of structured queries corresponding to an identified object, the structured query comprising a reference to the corresponding identified object; receiving, from the client device of the first user, a selection of a structured query corresponding to a first object of the identified objects; and generating a second set of structured queries, each structured query of the second set of structured queries comprising a reference to the first object.

5. The method of claim 1 , wherein receiving from the first user the unstructured text query comprises receiving one or more characters of a character string as the first user at the client device enters the character string into a graphical user interface.

Generate a parent claim based on:

15. The method of claim 11, wherein normalizing the plurality of confidence measurements for each portion comprises computing at least one confidence measurement statistic to generate the normalized confidence measurements.

11. A method for automatically recognizing speech, comprising: inputting a signal based on an utterance to be recognized, the signal having a plurality of portions; generating a proposed recognition for each portion; generating for each portion of the signal, a plurality of confidence measurements from the proposed recognition for that portion of the signal, comprising: generating at least one confidence measurement of a first type, and generating at least one confidence measurement of a second type, wherein at least the first and second types of confidence measurements are different types of confidence measurements that correspond to separate knowledge sources and the at least first and second types of confidence measurements are generated in parallel relative to the signal; normalizing, for each portion of the signal, the plurality of confidence measurements, comprising at least the first and second types of confidence measurements, for that portion of the signal; integrating, for each portion of the signal, the plurality of normalized confidence measurements of at least the first and second types to generate an integrated confidence measurement for that portion of the signal; and determining, for each portion of the signal, if the proposed recognition for that portion of the signal is acceptable based on the integrated confidence measurements of at least the first and second types.

Generate a child claim based on:

64. A system for providing interactive knowledge discovery service to a client or user comprising: a receiving module configured to receive an input from a client or user over a data network; an access module, comprised of at least one non-transitory computer-readable storage medium having computer executable instructions thereon and/or one or more processing apparatuses and/or one or more data communication devices, providing access to at least one processing device and/or at least one non-transitory computer-readable storage medium over a first network; a facilitating module facilitating access to at least one content corresponding to the client's or user's input, said at least one content is an output of at least one software module executed using one or more processing devices and/or one or more computer-readable storage medium over a second network to perform: accessing or building a first one or more data structures corresponding to at least one participation matrix representing participation of ontological subjects of a first predefined order into partitions or ontological subjects of a second predefined order of a body of knowledge; accessing, or building in real time, a second one or more data structures corresponding to association strengths between a plurality of ontological subjects of a predefined order; wherein said association strength is a function of: i. probability of occurrences of some of the ontological subjects of the first order in partitions or ontological subjects of a predefined order of the body of knowledge, and ii. co-occurrences of some ontological subjects of the first order in some of partitions or ontological subjects of a predefined order; accessing evaluated, or evaluating in real time, value significances for one or more partitions or one or more ontological subjects of the body of knowledge, based on data of one or more of said first and second one or more data structures and in respect to at least one significance aspect of the one or more partitions or one or more ontological subjects of the body of knowledge; and providing, using one or more data processing or computing devices, a content according to the client's or user's input using one or more partitions of the body of knowledge based on the evaluated value significances of the one or more partitions and/or one or more ontological subjects of the body of knowledge.

68. The system of claim 64 , wherein the second network is a cloud computing network comprising: at least two processing apparatus, at least one non-transitory computer-readable storage medium, and at least one communication link between the processing devices and the at least one storage medium.

Generate a child claim based on:

8. A processor-implemented method to execute on one or more processors that perform the method, comprising: receiving an original query plan comprising query nodes that include one or more database operations; transforming the original query plan into an equivalent executable compact query plan comprising at least two source nodes including scan operations to source tables, the at least two source nodes coupled to at least one abstract node and at least one singleton node, wherein a child of the at least one abstract node comprises at least one of the source nodes or the at least one singleton node, but not another abstract node, wherein the at least one singleton node comprises a single operation selected from aggregate, union, order by, or null accepting full outer join, wherein the at least one abstract node comprises a set of operations selected from at least one of Cartesian product, evaluation, filter, left outer join, or null rejecting full outer join, and wherein the at least one abstract node is partitioned into multiple intra-partition commutable operations that can be executed in a different order from the original query plan based on upward compatibility or a combination of a single null rejecting left outer join operation and the multiple intra-partition commutable operations; and storing the compact query plan on a machine readable device.

9. The method of claim 8 , further comprising: grouping the database operations within the at least one abstract node into sets of operations; and determining a set of precedence links between the sets that define exactly all ordering dependencies between the sets.

Generate a child claim based on:

1. A computer-implemented method, comprising: receiving, at a server device and from a client device, a search query entered on the client device by a user; determining, using the server device, that the user belongs to at least a first population group; determining, using the server device, that at least a first article is responsive to the search query; determining, using the server device, an interest value reflecting an interest of the first population group in the first article, the interest value based on at least one selection of the first article made when the first article was previously presented to at least one member of the first population group in response to an earlier search query identical to the search query; determining, using the server device, a first ranking score for the first article, the first ranking score based at least in part on the interest value; and outputting a search result from the server device to the client device in response to the search query, the first article ranked in the search result according to the first ranking score.

11. The method of claim 1 , wherein the interest value comprises a selection score for the first article in a context of the first population group.

Generate a parent claim based on:

22. The system of claim 18 , wherein the web-based social network sites comprise one or more of social media sites, video sharing sites, microblogging sites, and blog post sites.

18. In a computer network, a system for quantifying a significance of terms used within web-based social network sites, comprising: a means for implementing a configuration of a plurality of databases comprising a key terms database, a search database, a results database and a cumulative results database, the key terms database configured for storing key terms associated with a marketing of goods or services, wherein the stored key terms are used to generate search queries that are to be provided to a plurality of web-based social network sites, the search database configured for storing search results that are received in response to the generated search queries, wherein the stored search results are transformed into social index scores that indicate a respective significance of the key terms within the plurality of web-based social networks, the results database configured for storing social index scores generated at regular intervals of time, wherein the data stored in the results database is retrieved in order to represent the social index score for the key terms during that interval of time, and the cumulative results database configured for storing cumulative data comprising a plurality of storing social index scores generated over time, wherein the data stored in the cumulative results database is retrieved in order to represent social index scores for the key terms generated over regular intervals of time, a means for receiving an input of one or more key terms corresponding to marketing of goods or services, wherein the received input is stored in the key terms database that stores key terms that are used to generate search queries; a means for generating the search queries from the one or more key terms for retrieving information from the plurality of web-based social network sites indicating use of the one or more key terms within the plurality of web-based social network sites; a means for providing the generated search queries to the plurality of web-based social network sites; a means for receiving search results from the plurality of web-based social network sites in response to the provided search queries, wherein the received search results correspond to social network data from a plurality of social network site users, the received search results stored in the search database that is accessed to transform the search results into social index scores; for a web-based social network site of the plurality of web-based social network sites from which search results are received, a means for assigning an impact weight to the web-based social network site based at least in part on a total amount of stored data of the web-based social network site and a type of media accessed from the web-based social network site; a means for associating the received search results for the web-based social network site with the impact weight corresponding to the web-based social network site; a means for generating one or more social index scores by taking into account at least the received search results and the respective impact weights for the plurality of web-based social network sites, the one or more social index scores stored in at least one of the results database and the cumulative results database, wherein the stored data is retrieved to provide one or more representations of the social index score to a user; and a means for providing, through a user interface, at least one representation of the generated one or more social index scores to the user.

Generate a parent claim based on:

9. The method of claim 1 , further comprising: generating, by an annotation writer component of the annotation engine component, the annotation document based on a result of an expression in the plurality of rules applied to the software object.

1. A computer-implemented method of annotating software objects, comprising: providing a software object, wherein the software object is an instance of a class in an object-oriented computing environment, and wherein the software object is generated by a software component executed by an application server; determining a plurality of rules based on the class, wherein the plurality of rules define how to annotate the software object; processing, by an annotation engine component executed by the application server, the software object according to the plurality of rules; generating, by the annotation engine component, an annotation document based on the software object having been processed according to the plurality of rules; and generating, by an application programming interface component executed by the application server, an annotated software object based on the software object and the annotation document, wherein the annotated software object corresponds to the software object as annotated by the annotation document; wherein the annotation engine component is configured to process the software object in a non-intrusive manner with regard to the software component such that the software component is not modified; and wherein the plurality of rules define how to create the annotation document, wherein the plurality of rules includes a plurality of categories and a plurality of relations, and wherein the plurality of categories and the plurality of relations relate to a domain ontology.

Generate a parent claim based on:

12. The system of claim 11 wherein the estimator estimates a level of effort of the project based on multiplying the count of the number of business operation points by a proportionality constant.

11. A system for managing a project to be developed, comprising: an interface control document stored on a computer-readable storage medium modeling a first set of interactions between a plurality of applications through one or more sequence diagrams, the plurality of applications including a plurality of software components, classes, or objects, and the first set of interactions identifying functionality of the project; an application model document stored on a computer-readable storage medium modeling a second set of interactions within at least one of the plurality of applications through one or more sequence diagrams, the second set of interactions identifying additional functionality of the project, wherein the first set of interactions and the second set of interactions include a plurality of types of interactions, the plurality of types of interactions includes two or more of group consisting of internal logical files types of interactions, external interfaces files types of interactions, external inputs types of interactions, external outputs types of interactions, and external queries types of interactions; a baseline document stored on a computer-readable storage medium identifying existing interactions between the plurality of applications and existing interactions within the plurality of applications; an estimator component stored on a computer-readable storage medium that accesses the interface control document, the application model document, and baseline document and counts a number of business operation points based on the interactions identified in the first and second sets of interactions not identified in the baseline document of existing interactions, wherein a first count of the number of business operation points based on the interactions identified in the interface control document is weighted differently relative to a second count of the number of business operation points based on the interactions in the application model document, and wherein the business operation points include interactions between applications and interactions within an application between components of the application, but do not include the components of the applications themselves or interactions with external non-application entities.

Generate a child claim based on:

13. A method for a database search system, the method comprising: maintaining a bidded search listing database of bidded search listings, each bidded search listing having an associated search term; forming a related searches database using the bidded search listing database, including using the bidded search database, forming a list of uniform resource locators (URLs) associated with internet web sites to be accessed; removing duplicate URLs from the list; if a URL on the list is similar to another URL on the list, crawling a predetermined number of potentially duplicate URLs; comparing bodies of the URL on the list and the potentially duplicate URLs; if the body of the URL on the list is similar to the body of the potentially duplicate URL, suspending crawling of the potentially duplicate URLs, storing the body of the URL on the list in the related searches database for subsequent search; receiving at a search engine web server associated with the bidded search listing database a search query from a user over a data link; returning a search results page to the user over the data link, including positioning bidded search listings from the bidded search listing database having a search term matching the search query in a first portion of the search results page, positioning related search listings from the related search database in a second portion of the search results page, and communicating the search results page to the user.

16. The method of claim 13 wherein positioning related search listings comprises placing a hypertext link in the second portion of the search results page which, upon actuation of the hypertext link, allows the user to display additional related search entries.

Generate a child claim based on:

13. The method of claim 12 , the data element comprises, content, an entity reference, an external reference, an element, a tag, character data, an attribute, a CDATA section, a comment a processing instruction.

14. The method of claim 13 , further comprising retrieving metadata information associated with the pulled XML item.

Generate a parent claim based on:

22. The method of claim 20 wherein the indicated connection type or the range of connection types indicates relationships in which the indicated adjective matches a valid sentiment adjective word sense or shares a sense with the valid sentiment adjective word sense.

20. The method of claim 16 wherein the looking up the indicated adjective and retrieving related sentiment adjective word-senses further comprises: determining a set of related sentiment adjective word-senses that correspond to the indicated adjective based upon an indicated connection type or a range of connection types; and returning the determined related sentiment adjective word-senses.

Generate a child claim based on:

30. A computer-implemented system, comprising: one or more processors; one or more non-transitory computer readable storage media; computer readable instructions stored on the one or more non-transitory computer readable storage media which, when executed by the one or more processors, implement a first cluster configured to perform operations comprising: receiving, at a first cluster, a search query, the first cluster being a first data intake and query system; transmitting, through a firewall of either the first cluster or a cloud-based cluster, a request for information identifying a plurality of indexers of the cloud-based cluster, the cloud-based cluster being a second data intake and query system; in response to the request, obtaining, from the cloud-based cluster, the information identifying the plurality of indexers, wherein the first cluster and the cloud-based cluster each include at least one master node that is knowledgeable about active indexers within its respective cluster, and the information identifies the plurality of indexers based on the at least one master node of the cloud-based cluster identifying the active indexers; distributing the search query to the plurality of indexers of the cloud-based cluster and one or more indexers of the first cluster, said distributing using the obtained information identifying the plurality of indexers and being through the firewall; and receiving, at the first cluster, a response to the distributed search query from at least one of the plurality of indexers of the cloud-based cluster wherein each response from a respective indexer is produced by the respective indexer based on an evaluation, by the respective indexer, of the distributed search query.

44. The system as described in claim 30 , wherein the information includes respective IP addresses of the plurality of indexers.

Generate a parent claim based on:

24. The computer-readable storage media of claim 13 , wherein the configuration node comprises a child duplex node that contains values associated with a duplex print attachment on the printer, and wherein the duplex node comprises a child node that represents whether or not a duplex print unit is installed on the printer.

13. A computer-readable storage media embodying a schema comprising: multiple nodes arranged in a hierarchical structure, wherein the hierarchical structure describes a printer's properties and capabilities; wherein individual nodes are associated with printer properties or data values; and wherein the schema is protocol-independent allowing one or more standardized schema queries to be constructed by one or more devices to query the printer for information associated with its properties and capabilities, wherein each of the one or more schema queries is defined by the schema, at least one schema query being directed to discovering a particular data value by having syntax expressly identifying a data value node associated with the particular data value, and wherein one property node comprises at least one of: a printer information node that pertains to data that is associated with the printer, wherein the printer information node comprises a child manufacturer node associated with a printer manufacturer; a configuration node that pertains to configuration data that is associated with the printer, and wherein the configuration node comprises at least one of: a child memory node that contains values associated with the memory installed on the printer, and wherein the memory node comprises a child node associated with memory size and a child node associated with an amount of memory available to a Postscript interpreter; or a child hard disk node that contains values associated with a hard disk that is installed on the printer, and wherein the hard disk node comprises a child node that represents whether a hard disk is installed on the printer, a child node that represents the capacity of an installed hard disk, and a child node that represents currently available free space of an installed hard disk; a consumables node that pertains to information associated with consumable supplies in the printer, and wherein the consumables node comprises a child type node that corresponds to a consumable type on the printer, wherein the child type node comprises a child color node that corresponds to the color of a consumable, wherein the color node comprises a child installed node that represents whether a consumable is installed on the printer, a child display name node that represents a localized name for a particular consumable, and a child level node that represents a current level of a referenced consumable; or a layout node that pertains to data associated with how a print job is applied on a page, wherein the layout node comprises a child number up node that contains information associated with how many logical pages should be placed on a single page of media and which direction to layout multiple pages.

Generate a parent claim based on:

17. The method of claim 16 , wherein receiving the selected property comprises receiving, by the computing device, at least one of a context, a source-text, a visible duration, an association duration, a priority, user viewability, a shared property or a user-definable property.

16. The method of claim 1 , wherein receiving further comprises receiving, by the computing device, a selected property for each of the plurality of annotations.

Generate a parent claim based on:

14. The computer system of claim 12 further comprising one or more of means for one of a statistical analysis or regression analysis where a statistic proves or disproves a null hypothesis regarding a class in which to include the unstructured textual data.

12. A computer system for determining whether a claim has merit to warrant claim recovery comprising: a computer implemented means for describing a set of documents containing terms and phrases having contextual bases; a means for transforming the terms and phrases; a computer implemented means for iterating a classification process to determine rules that best classify the set of documents based upon context; a computer implemented means for incorporating the rules into an induction and knowledge representation; a thesauri taxonomy and a text summarization to classify claims; a computer implemented means for calculating a base score and one or more concept vectors to identify the selected claims that demonstrate a given probability of recovery.

Generate a parent claim based on:

3. The method of claim 1 wherein adapting the universal background model (UBM) responsive to the registration code phrase spoken by the user to generate the code-phrase model (CPM) for the user includes using the registration code phrase with multiple expectation maximization iteration.

1. A method of speaker dependent speech recognition, comprising: building a universal background model (UBM) for a user responsive to unknown speech from only the user; adapting the universal background model (UBM) to build a single Gaussian Mixture Model (GMM) responsive to a registration code phrase spoken by the user and using the single GMM to generate a code-phrase model (CPM) for the user; generating a longest common sequence (LCS) template for the user from the code-phrase model (CPM), wherein the LCS template is represented by a sequence of an index of a best performing component of the single GMM; utilizing the universal background model (UBM), code-phrase model (CPM) and longest common sequence (LCS) template to determine whether the user is an authorized user and has spoken the registration code phrase, the utilizing including, capturing a test code phrase; accepting the test code phrase as being spoken by the authorized user when the log likelihood ratio between the code-phrase model (CPM) and the universal background model (UBM) is positive; and comparing the Longest Common Sequence (LCS) template with a test code-phrase template for the captured test code phrase.

Generate a parent claim based on:

16. The system of claim 13 further comprising: a second database, accessible by the hardware processor of the central analysis server, that is configured to store the non-trusted entity profile.

13. A system for analyzing executable content within at least one network of an enterprise, comprising: a plurality of collection agents disposed within one or more networks of an enterprise and executable by one or more hardware processors of one or more devices within the one or more networks, wherein each collection agent is configured to detect a presence of multiple instances of executable content within the enterprise; and a central analysis server remotely disposed from and in operative communication with the plurality of collection agents via the one or more networks, the central analysis server comprising: a collection engine, executable by a hardware processor of the central analysis server, that is configured to capture and store the multiple instances of executable content received from the plurality of collection agents; an extraction engine, executable by the hardware processor of the central analysis server, that is configured to extract one or more characteristics from each instance of the executable content; an analysis engine, executable by the hardware processor of the central analysis server, that is configured to: identify associations among the extracted characteristics; determine, based on the associations among the extracted characteristics, that a first portion of executable content is associated with a non-trusted entity; obtain a hash value for the first portion of executable content; and store the hash value and the associated extracted characteristics to create a non-trusted entity profile; and a first database that is configured to store the extracted characteristics, identified associations, and hash value, the first database being accessible by the hardware processor of the central analysis server and the plurality of collection agents such that each of the plurality of collection agents is operable to identify at least another portion of executable content associated with the non-trusted entity based on the hash value that has been recognized and presented in the database, wherein each of the plurality of collection agents is operable to transmit to the central analysis server an indication of notice indicative of a detection of the non-trusted entity at the corresponding collection agent, the indication comprising the hash value, location information but not a copy of the at least another portion of executable content to limit use of enterprise infrastructure resources and so as to update the non-trusted entity profile.