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2. The method of claim 1 , further comprising: accessing, using the computing device, a fourth database comprising information representative of at least one royalty statement, each royalty statement associated with at least one license agreement; accessing, using the computing device, a fifth database comprising information representative of at least one payment, each payment associated with at least one license agreement; and enabling processing of, using the computing device and at least one of said plurality of user-defined indexes, in a manner specified by a received command, information representative of at least one of: said at least one IP asset; said at least one IP asset package; said at least one license agreement; said at least one royalty statement; or said at least one payment.

12. The method of claim 2 , wherein accessing the third database comprises generating a payment allocation report comprising information indicative of any payments associated with said at least one license agreement, or allocation of said any payments to terms of said at least one license agreement.

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24. The RTVMM of claim 12 wherein the implementing step comprises the steps: partitioning memory into at least three demi-spaces, at least one of the demi-spaces being a static space excluded from the garbage collection process; designating two of the demi-spaces as to-space and from-space at the beginning of a garbage collection cycle, live objects residing in from-space subsequently being copied into to-space; designating the remaining demi-spaces as mark-and-sweep spaces at the beginning of a garbage collection cycle, the mark-and-sweep spaces being garbage collected using a mark-and-sweep technique.

47. The RTVMM of claim 24 wherein the transfer of objects needing finalization from a list of finalizable objects to an activity's finalizee list or an orphaned finalizee list has been accomplished, the implementing step comprising the steps: causing the mark-and-sweep spaces and to-space to be swept and identifying each object that is not marked, that is not on a free list, and that is a "hashlock object"; causing the garbage collection thread to copy the value of a "hash value" field of the "hashlock object" onto a list of recycled hash values if the list is not full; otherwise: causing the garbage collection thread to (1) make the "hashlock object" live, (2) change a "signature" field in the "hashlock object" to represent a "hashcache object", (3) add the "hashcache object" to the list of recycled hash values, and (4) copy the value of the "hash value" field of the original "hashlock object" onto a list of recycled hash values.

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1. A system for resolving variable information (VI) documents comprising: I/O components for receiving a request including a document having data and a dynamic reference and a request to resolve the document, wherein the dynamic reference indirectly references content to be integrated into the document with the data, wherein the indirect reference references by describing at least one characteristic of the content, and for communicating with a plurality of data sources; at least one server at least one tangible processor; a series of programmable instructions executable by the at least one processor for processing the request comprising: a mapping module for mapping between respective namespaces and schemas used by the plurality of data sources and a namespace and schema used by the dynamic reference; a query handler for: comparing subject matter of content available from the plurality of data sources and subject matter of the content described by the indirect reference of the dynamic reference; selecting at least one data source from the plurality of data sources to query in accordance with the comparison; generating at least one query in accordance with the dynamic reference and the mapping; querying the selected at least one data source using the generated at least one query; and an output handler for integrating data received in response to the querying with the document in order to generate at least one resolved document that has the data originally in the document and data received in response to the querying.

10. The system according to claim 1 , wherein the plurality of data sources is included in a Semantic Web, and the query handler queries the Semantic Web.

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15. The method of claim 13 , wherein: said environment is a computer generated simulated environment.

13. A method for creating a digital life form, comprising: defining a digital life form; providing access for the digital life form to an environment; defining a plurality of potential actions for the digital life form; providing at least one object in the environment; providing the object with at least one characteristic; providing the digital life form with the ability to form percepts based on the characteristics of objects encountered, to store the formed percepts, and to use the stored percepts to identify subsequently encountered objects; providing the digital life form with the ability to select from said plurality of potential actions based, at least in part, on the percepts; and providing consequences to the digital life form for such actions; wherein the digital life form selects from said plurality of potential actions in order to avoid certain of the consequences with a primary objective being the continued existence of the digital life form; the digital life form arbitrarily selects an action when there is insufficient data to determine whether an action will further the primary objective; and the digital life form stores data indicative of the effectiveness of selected actions in furthering the primary objective for use in future action selections.

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8. A method for conducting a dialog with a user of at least one computerized enterprise system, the method comprising: using at least one ontological entity to define user dialog topics including items; conducting a dialog with a user of at least one computerized enterprise system about an individual topic from among said user dialog topics, including generating a directed graph based on item references, from links between said items, by applying closure-based variable scoping in conjunction with backward-chaining-based logic to said directed graph; and identifying and scoring potential discussion forks based on said directed graph.

32. A method according to claim 8 wherein nested topic contexts are created at runtime, thereby to resolve topics.

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16. The process according to claim 14 , wherein the data representing the queries accessed from the storage device are scaled according to the percentage of total queries that originated from within the target geographic area.

14. A process for generating an information product representing a set of one or more most emergent Internet search queries, the process comprising the steps of: establishing a threshold function for defining whether Internet search queries are rising at a preselected rate; accessing from a storage device data representing queries received substantially (i) within a preselected time frame measured from receipt of the queries at a server, the queries having been normalized and combined, and (ii) ranked according to a measure of the frequency of the queries within the preselected time frame; and measuring the data representing the queries against the threshold function and if the data surpass the threshold function, making the data available in a physical storage medium for retrieval as the information product representing the set of most emergent Internet search queries, for storage in physical storage medium and adapted for use in tangible applications.

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45. The system of claim 41 , wherein the data associated with the first related query comprises an instance score for the first related query.

46. The system of claim 45 wherein the instance score comprises a number of instances the first article was shown in a search result for the first related query.

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1. A method comprising: under control of one or more processors of a client device that are configured with executable instructions: displaying an image on a display of the client device, the image including a plurality of segments; receiving a selection gesture to select one or more segments from the plurality of segments; receiving contextual information of the image; and instantiating a search query based on the one or more selected segments and the contextual information of the image.

7. The method as recited in claim 1 , further comprising, prior to displaying the image: obtaining the image by: capturing the image through a camera of the client device; receiving a selection of the image from a photo application of the client device; or receiving a selection of the image from media stored on or accessible to the client device.

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1. A computer-implemented method performed at a server system having one or more processors and memory, the method comprising: receiving a search query from a user; identifying a list of search results associated with the search query, wherein each search result has an initial position in the list; identifying a set of user-preferred search results that comprises search results in a search history of the user, wherein each of the user-preferred search results has been previously selected by the user for at least a predefined minimum number of times; identifying in the list of search results, one or more search results, each of which is associated with a respective user-preferred search result; reordering the list of search results by moving each of the identified search results from its initial position by a non-zero offset, wherein the offset is a variable that is a function of a popularity metric associated with each of the identified search results and wherein the popularity metric is a function of one or more parameters including at least one parameter that is a time span period from the user's most remote selection of the respective user-preferred search result to the user's most recent selection of the respective user-preferred search result; and providing the reordered list of search results to the user.

4. The method of claim 1 , wherein previous selection of a search result by the user comprises clicking on the search result and staying on a corresponding document for at least a predefined minimum duration.

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2. The document-searching method according to claim 1 , wherein the step of generating an XPATH query automaton comprises a step of generating an XPATH query automaton with the state transition corresponding to an initial state, a final state, and a search state registered thereon.

1. A computer-implemented document-searching method for searching a document having a hierarchical structure with elements separated by element identifiers, comprising the steps of: generating an XPATH query automaton, wherein XPATH is an XML (Extensible Markup Language) path for searching an XML document; wherein the XPATH query automaton is a table that contains a plurality of states of backward nodes, a condition for transition, and a search state; wherein a collection of entries of the XPATH query automaton expresses a state transition; wherein the generating the XPATH query automaton comprises steps of: generating and registering the state transition, wherein the generating and registering the state transition comprises: replacing an XPATH axis including an XPATH axis in a forward direction that is exemplified as an axis child, or a descendant in an XPATH into the state transition, replacing an XPATH axis including an XPATH axis in an opposite direction that is exemplified as axis parent, ancestor in an XPATH into the state transition, replacing an XPATH axis including an XPATH axis in a direction of a following-sibling, or a preceding-sibling in said XPATH into the state transition, replacement of a predicate of an XPATH into the state transition, replacement of a logical product AND of a predicate of an XPATH into the state transition, replacement of a logical add OR of a predicate of an XPATH into the state transition, replacement of a logical NOT of a predicate of an XPATH into the state transition, and wherein replacing and replacement keep an input XPATH query expression equal in terms of a search, and generates the XPATH query automaton including the plurality of states of the backward nodes, the condition for transition, and the search state, wherein the search state includes two states of said input XPATH query expression concurrently in the state transition, and wherein every axis regarding sibling relationship among nodes of the document is included in a condition for the XPATH query automaton; a query automaton evaluator determining the state transition of a node under determination by storing a left node and a lower node in correspondence with an identified element identifier, wherein information obtained from said left node and information obtained from said lower node for the state transition is used concurrently, and evaluating said XPATH query automaton with a search result of said left node and said lower node; storing the XPATH query automaton generated by a compiling device in a query automaton storage device; reading out the XPATH query automaton from said query automaton storage device and storing the XPATH query automaton while reading in said document and performing a stream search with the XPATH query automaton evaluator by using states of a plurality of different types of nodes in said element identifiers included in said document and said XPATH query automaton, thereby using two inputs and a search state; and storing an output of the query automaton evaluator in a result-storage device and thereafter outputting the stored output of the query automaton evaluator and the output of a searched node.

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8. A method as in claim 7 wherein the token phrases for the class of multimedia presentations include at least one of: text strings, closed captioned punctuation cues, a named entity and a text string, a named entity and a closed captioned punctuation cue, introductory news broadcast terms, anchor to reporter hand-off phrases, reporter to anchor hand-off phrases, leaders to highlights of upcoming news stories, or sign off phrases.

12. A method as in claim 8 wherein at least one token phrase including introductory news broadcast terms is selected from the group consisting of “I'm”, “hello”, “welcome”, “hello from”, “welcome to”, “thanks for watching”, “thanks for joining us”, and “here on”.

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9. The method of claim 7 wherein the converting step is accomplished by the use of a tool.

7. A method for processing Component Business Model (CBM) related data, the process comprising the following steps: providing CBM related data comprising a heat map; modeling the CBM related data by Unified Modeling Language (UML) to produce a CBM model; and automatically converting the CBM model to a Services Oriented Architecture (SOA) service model; wherein the converting step comprises the steps of: (i) retrieving a plurality of CBM elements; (ii) processing the plurality of CBM elements; (iii) identifying a plurality of UML elements that respectively correspond to the plurality of CBM elements; and (iv) forming the plurality of UML elements into the UML representation of the heat map.

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12. The system of claim 9 , wherein the device management schema implements a core model including classes and methods common to all areas of device management and wherein the at least one method invoked through the executable object is a member of class in an extension schema providing classes related to a specific technology.

9. A system used to generate methods deployed at a server and invoked by a client application, comprising: a processor; a storage device including a file including code defining a class implementing at least one method in an information model for a device management schema and wherein one of the at least one method relates to device management operations with respect to a device; a computer readable medium including code executed by the processor to perform operations, the operations comprising: translating the file to produce an object oriented implementation of the class and the at least one method for the device management operations for the device in an object oriented programming (OOP) language file; adding protocol statements of the information model to the OOP file to enable the client application to invoke the at least one method on the server to perform the device management operations with respect to the device; and compiling the OOP file to produce an executable object capable of being invoked by a call to a method invocation statement, wherein the client application calling the method invocation statement causes execution of the protocol statements and the at least one method in the executable object to invoke the at least one method on the server to cause the device management operations of the method with respect to the device.

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15. The method of claim 14 , further comprising: selecting one or more of the concept terms as advertising keywords to be used in selecting candidate advertisements for participation in the online advertisement auction based on the relevance scores.

16. The method of claim 15 , further comprising: filtering out concept terms that are not in the same language as the resource.

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3. The file processing method of claim 2 , wherein the first package file and the second package file are utilized for executing different applications.

4. The file processing method of claim 3 , wherein names of the plurality of second single-language package files are a name of the second package file adding with language codes corresponding to the plurality of language versions.

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7. A system, comprising: a computer-readable storage device configured to receive a plurality of documents received in a continuous stream; and a plurality of network devices, at least one of the plurality of network devices is configured to receive the plurality of documents and to partition the documents for distribution to each of the other network devices based on maximizing a determined dissimilarity of content for documents distributed to each given network device, the dissimilarity being between the documents within a given network device, each network device operable to receive at least some of the plurality of documents, and to perform actions, comprising: applying to at least some of the plurality of documents a modified sequitur algorithm to identify a plurality of common phrases, wherein modifications to the modified sequitur algorithm include using an array instead of a doubly-linked list to represent text, marking a diagram using an indexed array to indicate which position in an original sequence of characters is a start or an end of a non-terminal rule, rather than physically replacing the diagram with a non-terminal rule, and encoding frequent phrases or rules as state machines wherein the state machines are used to chain the identified rules for the identified phrases; selecting from the identified plurality of common phrases at least one phrase as a trending topic phrase for at least a given time window; generating at least one link to at least one of the plurality of documents have content associated with the trending topic phrase; and displaying the trending topic phrase and the at least one link.

10. The system of claim 7 , wherein selecting from the identified plurality of common phrases, further comprises: removing any phrases from the identified plurality of common phrases that is determined to have an extraneous co-occurrence of terms within the phrase based on a t-test test analysis.

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7. The method of claim 4 , wherein the plurality of database shards comprises a shard for each day of the month, a shard for each month of the year, or a shard for each hour of the day.

4. The method of claim 1 , wherein the selected partition of the user-term index comprises a plurality of database shards organized by time, and indexing the term of the post and the post identifier into the selected partition of the user-term index comprises: selecting a record in a most recent database shard of the plurality of database shards, the record comprising the user identifier, the term identifier, and a list of post identifiers; and adding the post identifier into the list of post identifiers of the selected record in the most recent database shard.

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12. The computer program product of claim 11 , wherein the tree data structure is traversed by setting the current node of the tree data structure to be a root node of the subtree associated with the clause.

11. The computer program product of claim 10 , wherein the third instructions for using the hash code further include instructions for using the target value to identify an entry in the multidimensional hash table corresponding to a subtree associated with the clause.

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3. The method of claim 1 , further comprising receiving a plurality of historical operational observations including the series.

1. A method for generating an operational rule associated with a building management system, comprising: identifying, with a processing device, a first pattern associated with a series of operational observations corresponding to a property of the building management system, and identifying a second pattern associated with the series of operational observations; correlating a first contextual attribute with the first pattern, and correlating a second contextual attribute with the second pattern, wherein the first pattern is based on a first resolution and the second pattern is based on a second resolution; and deriving the operational rule at least in part based on the first pattern and the first contextual attribute, and the second pattern and the second contextual attribute.

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7. The apparatus as recited in claim 6 wherein the computer system further comprises: a network card, the network card in communication with a network.

6. The apparatus as recited in claim 2 wherein the computer system comprises: a telephone line card in communication with a telephone line for receiving speech input data from a user and speech output data from the logic that provides the voice user interface.

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13. The method of claim 12 wherein the discover reports the outcome to the another discoverer when the given data item is successfully identified.

12. The method of claim 10 wherein the discoverer for a given data item operates to determine a search domain for the given data item in the input data, tracks whether the given data item is found in the input data, and reports an outcome of the discoverer to another discoverer having an ancestral relationship therewith.

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6. An electronic device for handwritten input and subsequent display of the handwritten input, the electronic device functionally comprising: a user interface having an ink-text canvas and a conveyor canvas; one or more ink-text areas coupled to the ink-text canvas; a conveyor area coupled to the one or more ink-text areas and coupled to the user interface, the conveyor area comprising one or more ink traces; an event loop of the user interface, the event loop operable to respond to pen-down events, pen-up events, pen-move events, and pen-timeout events, wherein upon an occurrence of a pen-timeout event in an ink-only mode, one or more ink traces are sent to an ink processor for display without converting the one or more ink traces to text using a recognition element; wherein upon an occurrence of a pen-timeout event, any pending timeouts are canceled, one or more ink traces are sent to the ink processor for display, the one or more ink traces are deleted from the conveyor area, and scrolling of the conveyor area is stopped.

8. The electronic device of claim 6 wherein display of the one or more ink traces further comprises scaling and segmenting the handwritten input into lines so that it can be displayed vertically in the ink-text canvas.

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19. The method in claim 4 further comprises a training phase having the steps of: detecting whether each one of a plurality of predetermined features exists in each message of a training set of m messages belonging to the first class so as to yield a feature matrix containing feature data for all of the training messages, wherein the plurality of predetermined features defines a predefined n-element feature space and each of the training messages has been previously classified as belonging to the first class; reducing the feature matrix in size to yield a reduced feature matrix having said N features (where n, N and m are integers with n>N); and applying the reduced feature matrix and the known classifications of each of said training messages to the classifier and training the classifier to recognize the N features in the m-message training set.

24. The method in claim 19 wherein the feature space comprises both word-oriented and handcrafted features.

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15. A computer programmed to perform the steps recited in claim 8 .

8. A method for creating a data structure in a storage medium that is used to organize programming information, the method comprising: forming data fields in a storage medium to hold programming information pertaining to video content programs, some of the data fields holding text-based data, the video content programs comprising broadcasted video content programs; and adding a target specification which references a target resource containing target resource data that defines supplemental content that supports interactive functionality with respect to various ones of the video content programs by embedding the target specification within the text-based data held in a data field, the interactive functionality comprising responsiveness to user input through an electronic programming guide (EPG) allowing selection from among plural uniform resource locators (URLs) to provide the supplemental content, the target resource data further defining layout instructions for processing by a viewer computing unit that define a display layout of the supplemental content along with an associated broadcasted video content program, the layout instructions including instructions to change location, shape, and relative sizing of a program boundary of a video content program and a boundary of the supplemental content based on time elapsed since a start time of the video content program; adding a definition of supplemental content, including: an extension attribute “background” for use with an HTML tag “BODY” to specify a URL for an image tile; an extension attribute “dynsrc” for use with an HTML tag “IMG” to specify an address of a video clip; an extension attribute “usedefault” for use with an HTML tag “FRAMESET” to determine where a focus is located in a user interface; an HTML tag “ACTION” to control update or display of sound or picture; an HTML tag “TRIGGER” to define when events of the HTML tag “ACTION” are to occur; and an HTML tag “EVENT” to associate the HTML tags “ACTION” and “TRIGGER”; and organizing the data structure to comprise the data fields.

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8. The method of claim 7 further comprising designating the third document as a source document.

9. The method of claim 8 further comprising: translating the third document into a third language; and automatically superseding a document in the third language with the translated third document.

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21. The method according to clams 17 , further including means for comparing the transcribed text with other text.

22. The method according, to claim 21 , further including means for creating the other text by modifying text of a previously completed form to diminish differences that would have otherwise occurred during the step of comparing the transcribed text with the other text.

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17. The computing device of claim 11 , wherein the search engine inference based virtual assistance application is configured to display the streaming text by displaying the streaming text in a text window.

11. A computing device comprising: a processor; a memory; and a search engine inference based virtual assistance application configured to: receive streaming audio or video data; play received audio or video data in substantially real time as the audio or video data is received; display streaming text corresponding to voice within the received audio or video data, as the received audio or video data is played; identify inference terms within the streaming text; visually indicate identified inference terms within the streaming text, wherein visually indicating identified inference terms within the streaming text comprises highlighting or bracketing the identified inference terms within a text window comprising the streaming text; and display, with the identified inference terms, web search information associated with the identified inference terms.

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17. The method of claim 16 , wherein the request packet further comprises an ignore noise element for specifying whether noise words should be ignored when performing the query.

16. The method of claim 15 , wherein the request packet further comprises an enable stemming element for specifying whether a stemmer should be utilized when performing the query.

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4. The non-transitory processor-readable medium of claim 1 , the code further comprising code to cause the processor to: identify, from the uncompressed TDF, a fourth attribute, the fourth attribute being from the uncompressed set of attributes associated with the taxonomy tree of the online marketplace, the fourth attribute having a first display name included in the uncompressed TDF and a second display name included in the uncompressed TDF, the second display name being different from the first display name; and map the first display name and the second display name to a common display name of the fourth attribute, the code to cause the processor to compress includes code to cause the processor to compress the uncompressed TDF to define the compressed TDF to include the common display name of the fourth attribute and exclude the first display name of the fourth attribute and the second display name of the fourth attribute.

1. A non-transitory processor-readable medium storing code representing instructions to be executed by a processor, the code comprising code to cause the processor to: receive an uncompressed template definition file (TDF) in a template file format, the uncompressed TDF including an uncompressed set of attributes associated with a taxonomy tree of an online marketplace, the uncompressed set of attributes including a first attribute and a second attribute, the first attribute being at a first level of the taxonomy tree, the second attribute being at a second level of the taxonomy tree; define an association within a database table linking the first attribute with a third attribute based on the first attribute having a characteristic and the third attribute having the characteristic; define an association within the database table linking the second attribute with the third attribute based on the second attribute having the characteristic and the third attribute having the characteristic; compress the uncompressed TDF to define a compressed TDF in the template file format, the compressed TDF including a compressed set of attributes associated with the taxonomy tree of the online marketplace based at least in part on (1) the association linking the first attribute and the third attribute and (2) the association linking the second attribute and the third attribute, the compressed set of attributes including the third attribute and excluding the first attribute and the second attribute; and send the compressed TDF to a taxonomy platform such that a set of inventory data associated with a merchant is mapped, based on at least the compressed TDF, to the compressed set of attributes associated with the taxonomy tree of the online marketplace.

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23. The system of claim 17 , wherein the one or more computers are further configured to perform operations including: determining edge weights for each edge based on a relative importance of the distinct node from which the edge originates.

17. A system, comprising: a memory, the memory storing a plurality of distinct book content items and corresponding characteristics of the distinct book content items; and one or more computers configured to interact with the memory, the one or more computers being further configured to perform operations including: segmenting textual content for each of the plurality of distinct book content items into word strings, each word string including a predefined number of contiguous words in the textual content of a book content item; classifying word strings having a frequency of occurrence that is less than a threshold frequency of occurrence as uncommon word strings, the frequency of occurrence for each word string being a number of occurrences of the word string relative to the total number of word strings in the plurality of distinct book content items; representing a weighted graph in the memory, the weighted graph including a plurality of distinct nodes, each distinct node representing a corresponding distinct book content item in the plurality of distinct book content items, and where an edge exists in the weighted graph between each pair of distinct nodes that represent distinct book content items that both include a matching uncommon word string, each edge in the weighted graph being weighted based on a relative importance of the distinct node from which the edge originates; for each distinct node: identifying matching word strings in the textual content of other distinct book content items that are represented by other distinct nodes, each matching word string being a word string that matches an uncommon word string in the textual content of the distinct book content item corresponding to the distinct node; and generating edges in the weighted graph connecting the distinct node to other distinct nodes corresponding to the other distinct book content items, each edge representing one or more matches of an uncommon word string to one or more matching word strings in the textual content of another distinct book content item; and determining a rank score for each distinct book content item based on the edges between the distinct nodes representing the distinct book content items, the rank score being a score indicative of the importance of each distinct book content item relative to other distinct book content items.

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1. A method of composing a reply to a message on a communications device, comprising: displaying a scrollable message composition window showing the reply, wherein the reply includes a primary area and a secondary area, and wherein the secondary area includes a copy of the message; detecting a first event when the message composition window has been scrolled such that the primary area of the reply is not visible; displaying an overlay in response to the first event, the overlay including an input area for the input of elements; detecting a second event; and in response to the second event, removing the overlay and inserting the elements entered in the input area of the overlay into the primary area of the reply.

7. The method of claim 1 wherein the element comprises alphabetic and numeric characters.

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24. The storage medium according to claim 23 , wherein identifying the plurality of predictive models further comprises identifying a second predictive model from the collection of predictive models, the second predictive model being configured to receive, as an input, both data in a category specified by at least one of the different tags and data in a category specified by the second tag; and adding a name associated with the second predictive model to the set of names of predictive models that are compatible with the database table.

25. The storage medium according to claim 24 , wherein the instructions, when executed by data processing apparatus, cause the data processing apparatus to perform further operations comprising: applying the first predictive model to the database table to obtain a first predicted value; adding the first predicted value to the database table in a new column to obtain an updated database table; subsequently applying the second predictive model to the updated database table to obtain a second predicted value; and adding the second predicted value to the updated database table.

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2. The method of claim 1 , further comprising: in response to receiving the search input, determining whether to perform the query search based on the search input; and in response to determining that the query search is to be performed, performing the query search.

1. A method to search for an entity in an entity resolution system, comprising: receiving, using a processor of a computer, search input made up of attributes having attribute types; performing a resolution search using the search input to generate a first search result set comprising one or more entities and zero or more generic attributes, wherein the resolution search determines that the search input and each of the one or more entities has a similarity score exceeding a first threshold, and wherein each of the generic attributes has a frequency of occurrence exceeding a second threshold; in response to determining that the resolution search generated less than two generic attributes, returning the first search result set; and in response to determining that the resolution search generated at least two generic attributes, for each generic group that includes a subset of the search input and includes at least two generic attribute types from the attribute types of attributes in the search input, performing a query search to identify additional entities; combining the identified additional entities with the entities in the first search result set to generate a second search result set; and returning the second search result set.

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8. The device of claim 1 , wherein the binary format of scene description graph interpreter further comprises: a VideoObject2D node or a MovieTexture node connected to the audiovisual object demultiplexer and binary format of scene browser; a video object programmer interface connected to the VideoObject2D or MovieTexture node; an AudioSource node connected to the means for interacting with the user; an audio object programmer interface connected to the AudioSource node; an ImageTexture node connected to the means for interacting with the user; and an image object programmer interface connected to the ImageTexture node.

9. The device of claim 8 , wherein the media decoders, compositor and renderer further comprise: a video object decoder connected to the video object programmer interface; an audio object decoder connected to the audio object programmer interface; an image object decoder connected to the image object programmer interface; and a scene compositor connected to each of the video object decoder, the audio object decoder, and the image object decoder.

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18. The machine translation system of claim 12 , wherein the library associates each of a plurality of non-contiguous bi-fragments with a corresponding maximum gap in at least one of the source text fragment and the target text fragment.

12. A machine translation system comprising: a memory which stores a library of bi-fragments, each of the bi-fragments including a source text fragment from a first language and a corresponding target text fragment from the second language, at least some of the bi-fragments in the library comprising non-contiguous bi-fragments; and a processing component which receives text comprising source text fragments selected from the first language and accesses the memory to retrieve stored text fragments from the second language including non-contiguous bi-fragments, the processing component comprising a translation scoring function which includes at least one of: a first feature function which evaluates bi-fragment discontinuities; and a second feature function which evaluates bi-fragment reorderings.

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15. A method of translating at least one application program on a computer system from a source language into at least one target language, said method comprising: selecting a locality setting for said target language; building at least one translation table including original text of said at least one application program in said source language and corresponding translated text in said target language; loading said at least one application program including a translator embedded in said application program; finding said original text in said translation table as each displayed object of said application program loads; and exchanging said original text in each displayed object of said application program with said corresponding translated text in said translation table while said application program is running using said translator embedded in said application program.

19. The method of claim 15 further including the steps of: creating a master translation table, wherein said translation master table includes at least one record corresponding to said at least one target language, said at least one record including a language identifier identifying said at least one language, a character set identifier identifying a character set to be used with said at least one language, and a font identifier identifying a font to be used with said at least one language, and wherein said translator embedded in said application program responds to said translation master table to determine said character set and said font.

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4. The method of claim 1 , wherein the database comprises a textual database and a geometric database.

1. A computer-implemented method for preparing at least a portion of an electronic tax return with a computerized tax preparation application, the computer-implemented method comprising: a computing device receiving an image of at least one document containing tax data therein with an imaging device; the computing device identifying connected pixels within the received image and extracting one or more features from the image of the at least one document based at least in part upon identified connected pixels; the computing device comparing the extracted one or more features to a database containing a plurality of different tax forms; the computing device identifying a tax form corresponding to the at least one document from the plurality of different tax forms based at least in part on a confidence level associated with the comparison of the extracted one or more features to the database; and the computing device transferring at least a portion of the tax data determined from the image into corresponding fields of the computerized tax preparation application to automatically prepare at least a portion of the electronic tax return.

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2. The method of claim 1 , wherein applying the heuristic includes applying at least one of a Jaro distance, Jaro-Winkler, Hamming distance, Levenshtein distance, Damerau-Levenshtein distance, or a phonetic matching technique.

4. The method of claim 2 , wherein applying the heuristic includes applying the Levenshtein distance to the respective preprocessor directive symbols in the set of unused preprocessor directive symbols and the set of undefined preprocessor directive symbols.

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1. A method, comprising: scanning, by a computer, a set of messages of a user sent to or received from a plurality of persons, the messages comprising a first message from a first person; generating a plurality of profiles for the persons, each profile comprising a name of a respective person from one of the messages, and at least one of a social network profile name or a link to a social network profile for the respective person, the plurality of profiles including a first profile for the first person; extracting information from the messages to form search queries, the extracted information comprising a domain obtained from an address of the first message, the domain corresponding to a first website, the search queries including a first query, and the first query comprising search criteria including the domain; communicating, over a network, with a plurality of servers in an automated way to extract data from the servers, the extracting data comprising querying the servers using the search queries, the extracted data comprising first data obtained from the first website; storing a respective portion of the data extracted from the servers in each profile of the plurality of profiles, the storing comprising storing the first data in the first profile; in response to an incomplete input in an input field for a new address of a new message being composed by the user, identifying a set of persons in the plurality of profiles that match the incomplete input, the set of persons including the first person; determining, using the plurality of profiles, a relevancy score for each person of the set of persons based on a type of communication of the new message, wherein an address for a same type of communication as the new address is given more weight than an address for another type of communication, and the relevancy score further based on types of fields in which addresses of senders and recipients of the messages appear, wherein a weight given for an address in a From field is greater than a weight given for an address in a CC or BCC field; and presenting to the user a plurality of suggestions to complete the incomplete input based on the set of persons, wherein the suggestions are presented in an order based on the respective relevancy score for each person of the set of persons.

9. The method of claim 1 , wherein the messages are email messages.

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2. The computer system of claim 1 , said method further comprising converting, by a second system comprising a second application, the second processed DDD to generate a second document object model (DOM); modifying, by the second application, the second DOM to generate a modified second DOM; and serializing, by the second system, the modified second DOM, to generate a third processed DDD and storing the third processed DDD in the memory of the computer system.

3. The computer system of claim 2 , said method further comprising converting, by the first system, the third processed DDD to generate a third document object model (DOM); modifying, by the first application, the third DOM to generate a modified third DOM; and serializing, by the first system, the modified third DOM, to generate a fourth processed DDD and storing the fourth processed DDD in the memory of the computer system.

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31. An Apparatus comprising a non-transitory processor-readable medium including instructions stored on the processor-readable medium for performing at least the following: accessing information for use in determining payload information conveyed in a watermarked image, the accessed information having been produced prior to watermarking an image to produce the watermarked image, said payload information being associated with a watermark included in said watermarked image, said watermarked image and said image being arithmetically encoded by an arithmetic code, said watermark modifying at least one syntax element of said image and having watermarked said image by replacing arithmetically coded bits directly without prior arithmetic decoding and re-encoding of said image, and the accessed information including: location information that identifies a location of a set of pixels in the watermarked image, wherein the set of pixels conveys the payload information in a pixel-domain representation of the set of pixels of the watermarked image, one or more values for a feature in the pixel-domain representation of the set of pixels, wherein the one or more values for the feature indicate whether first payload information or second payload information is conveyed in the pixel-domain representation by the set of pixels, and wherein the one or more values comprise: a first value for the feature in the pixel-domain representation of the set of pixels, wherein the first value for the feature indicates that the first payload information is conveyed in the pixel-domain representation by the set of pixels; and a second value for the feature in the pixel-domain representation of the set of pixels, wherein the second value for the feature indicates that the second payload information is conveyed in the pixel-domain representation by the set of pixels; accessing the watermarked image said watermarked image having a test value for the feature based on said modified at least one syntax element; determining the a-test value for the feature of the set of pixels in the accessed watermarked image; comparing the test value with at least one of the first value and second values for the feature; and determining the payload information based on a result of the comparing of the test value.

36. The Apparatus of claim 31 wherein: the accessed information further comprises a base value for the feature based on a second location that is different from the location of the set of pixels and that does not convey payload information; and determining the test value for the feature comprises: determining an actual value for the feature for pixels at the second location, comparing the base value with the determined actual value for the feature for pixels at the second location, determining an actual value for the feature of the set of pixels in the accessed watermarked image, and adjusting the determined actual value for the feature of the set of pixels to produce the test value, the adjusting being based on a result of the comparing of the base value with the determined actual value for the feature for pixels at the second location.

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1. A method comprising: receiving annotated data; parsing, at least partially, the annotated data, wherein parsing includes identifying syntactic structure of sentences within the annotated data; and extracting training sets from the parsed annotated data, wherein the training sets are based on a plurality of features, wherein extracting comprises at least one of tagging the annotated data for marking words, and defining and segmenting words based on languages, wherein extracting further comprises extracting entity names and relations between entity names based on the information sets, and wherein extracting further comprises identifying information sets using memory-based Information Gain (IG)-Trees, wherein the IG-Trees are generated based on the plurality of features, wherein the plurality of features comprise one or more of words, phrases, sentences, and objects, and wherein each information set is identified based on a corresponding memory-based IG-Tree including one or more of a person-name IG-Tree, an entity-name IG-Tree, a noun phrase IG-Tree, and a relation IG-Tree.

5. The method of claim 1 , wherein the marked words comprise one or more of nouns, verbs, proper nouns, pronouns, adverbs, and adjectives, wherein the marked words are compared with previously-identified marked words to identify missing marked words.

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18. An interface according to claim 13 wherein digital signals entering the scratchpad memory either (a) wraparound or (b) do not wraparound once the scratchpad memory is filled, the wraparound mode being established by the executive means in response to one corresponding instruction from the host computer and the not wraparound mode being established by the executive means in response to a differing corresponding instruction from the host computer.

13. An interface according to claim 10 wherein the scratchpad memory temporarily stores the digital signals corresponding to the digital outputs from the instrument, the digital signals in the scratchpad memory being directed toward the host computer in response to a corresponding instruction by the host computer to the microprocessor means.

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8. A non-transitory computer-readable medium storing instructions, the instructions comprising: one or more instructions that, when executed by one or more processors, cause the one or more processors to: receive text to be processed to identify input entities included in the text; identify text sections of the text; generate a list of terms included in the text sections of the text; perform a feature extraction technique to determine whether each term, in the list of the terms, is an object of an action, the feature extraction technique causing a subject-predicate-object relationship to be extracted from one of the text sections; perform one or more other feature extraction techniques, on the terms included in the text sections, to identify the input entities included in the text; generate information that identifies the input entities included in the text, based on performing the feature extraction technique and the one or more other feature extraction techniques; and provide the information that identifies the input entities included in the text.

14. The non-transitory computer-readable medium of claim 8 , further comprising: one or more instructions, that when executed by the one or more processors, cause the one or more processors to: provide a query to a user requesting entity identification for a portion of the terms; receive, based on the query and from the user, the entity identification for the portion of the terms; update the information that identifies the input entities included in the text, based on the entity identification for the portion of the terms; and provide the updated information that identifies the input entities included in the text.

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13. The computer-implemented method for managing comment data as recited in claim 12 , wherein the comment data being expressed is expressed by entering a text comment on a selected object in the page module.

12. A computer-implemented method for managing comment data generated when interacting with a page module, the computer-implemented method comprising: detecting at least one comment data being expressed when interacting with the page module, the comment data being text; analyzing content of the comment data to identify a context for the comment data; if the comment data is identified to be associated with a context based on the analyzing, tagging the comment data with a context association, and if the comment data is not associated with a context then maintaining the comment data associated only with the page module; and carrying over the comment data as text to one or more other page modules that were identified to have the context association with the comment data; wherein the populating enables display presentation of the comment data aggregated at the page module and carried over to one or more page modules having the context association; wherein the page module and the related page modules each have a subject context that is contextually related to a word.

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1. A non-transitory computer accessible storage medium storing program logic operative for implementing: receiving a question from a computer executed application, wherein the question pertains to use of a particular website or particular information source of a content provider; in response to receiving the question, identifying an operational context in which the question is submitted, wherein the operational context is associated with the question, and wherein the operational context comprises one or more of: a location, within the particular website or particular information source, from which the question is submitted; or information about a system from which the question is submitted; in response to identifying the operational context for the question, determining a category for the question, wherein the category is determined dependent upon the identified operational context; retrieving a result for the question, wherein the category and the question are both used to retrieve the result; based on the result, determining whether the question is an answered question or an unanswered question; and when the question is determined as an answered question: using a natural language indexing module to normalize the answered question, wherein one or more superfluous words are removed from the answered question to determine whether another question is substantially similar to the answered question; and storing the normalized answered question in association with tracking data for the normalized answered question, wherein the tracking data indicates that the question was answered; and when the question is determined as an unanswered question: using a natural language indexing module to normalize the unanswered question, wherein one or more superfluous words are removed from the unanswered question to determine whether another question is substantially similar to the unanswered question; and storing the normalized unanswered question in association with tracking data for the normalized unanswered question, wherein the tracking data indicates that the normalized unanswered question was not answered.

4. The non-transitory computer accessible storage medium of claim 1 , wherein identifying the operational context comprises determining a format associated with the question.

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17. The system of claim 16 , further comprising: means for extracting event features from annotations associated with the event; means for extracting social media features from the plurality of social media content items; and means for mapping the event to the social media content items based on a relationship between the event features and social media features.

18. The system of claim 17 , further comprising annotating the event with the annotations using metadata instances relevant to the event.

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3. The method as set forth in claim 1 , further comprising steps of: identifying, by the computer, contexts familiar to a mentor's social networking tagging data that are familiar to the mentor, with mentor context labels; and identifying, by the computer, contexts familiar to a mentee's social networking tagging data that are familiar to the mentee, with mentee context labels.

4. The method as set forth in claim 3 , wherein said step of matching further includes matching mentors and mentees based on a comparison of said context labels.

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10. The method of claim 9 , wherein performing the search query comprises: searching the plurality of query click log data for a query pair corresponding to the search query; and identifying a domain associated with the search query according to the URL distribution.

9. The method of claim 8 , wherein the correlation between the at least one of the plurality of natural language search queries and the at least one keyword-based search query is associated with a Uniform Resource Locator (URL) distribution.

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18. The system of claim 17 , which is operable, when performing the capturing operation, to validate the data for each instance of the repetitive structure in accordance with the once-described structure properties.

17. A system for capturing data from a document image, the system comprising: an imaging component capable of capturing the document image of a document; a processor; and a memory coupled to the processor and in electronic communication with the imaging component, the memory configured with instructions for causing the processor to: process the document image to identify at least one repetitive structure; and perform a capturing operation including creating a plurality of instances of the repetitive structure based on once-described structure properties of the repetitive structure, and populating each instance of the repetitive structure with corresponding data from the document image.

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13. The process according to claim 9 , further comprising: displaying a selected document with said applied description tags, including visually distinguishing between description tags relating to a first domain and description tags relating to a second domain.

9. A process for tagging and retrieving electronic documents, comprising: populating a database with a plurality of descriptions; and populating a database with a plurality of concepts; wherein each concept resides hierarchically under a domain and further is unique within a given domain, wherein each domain has its own hierarchical structure; wherein at least one of said each domain is a category selected from the group including but not limited to a problem, a procedure, a diagnosis, a medication, and an allergy; wherein each description also is unique within a given domain; wherein a description is an alternative way to express an associated concept, wherein said descriptions have a many-to-one relationship with each of said plurality of concepts, and wherein each description has a presence factor indicative of a strength of the relationship between it and its associated concept, the presence factor also indicative of a physician's intent when the description is generally used by physicians; relating each description to a respective concept such that each description has a concept, wherein each concept has at least one description; reviewing a document for a satisfactory description, the reviewing step including identifying portions of the document that match concepts by determining if each of a plurality of portions of the document relates to one or more of said descriptions associated with a given concept; applying a plurality of description tags to the document in a plurality of locations within said document that correspond to locations of the portions of the document that relate to descriptions associated with respective concepts, said description tags being stored in a format which can be searched by search tools; creating a link between said document and concepts related to said document, wherein said related concepts are related to said plurality of description tags; ranking, in response to a query, said document against other documents using at least one of said description tags and said related concept, said ranking based at least on the presence factor for the descriptions of description tags applied to the document; and displaying a list of documents ordered by document rank.

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25. The system of claim 14 , further comprising the processor for generating for display a playlist transport bar that provides information regarding playback progress of the subset of the plurality of stored media assets.

14. A system comprising user equipment for implementing an interactive media guidance application, the user equipment comprising a processor for: receiving a first user input having a common attribute of video content; storing a plurality of media assets including a subset stored based on the common attribute; subsequent to storing the plurality of media assets, receiving a second user input requesting playback of the subset of the plurality of stored media assets having the common attribute of video content; identifying, from the plurality of stored media assets, the subset of the plurality of stored media assets having the common attribute of video content; generating, for simultaneous display, a first list of the plurality of stored media assets, a second list of the subset of the plurality of stored media assets having the common attribute of video content and an indication of the common attribute corresponding to the second list, wherein the second list of the subset includes all media assets having the common attribute from the first list of the plurality of stored media assets; and automatically selecting for playback the subset of the plurality of stored media assets having the common attribute of video content in response to the second user input.

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1. A method of constructing translation knowledge, comprising: receiving a source-language sentence and a target-language sentence corresponding to translation of the source-language sentence, which being performed by a constructing translation knowledge apparatus; converting the source-language sentence and the target-language sentence into a form that is expressed with syntactic information, which being performed by the constructing translation knowledge apparatus; performing word alignment and syntactic alignment of the converted source-language sentence and the converted target-language sentence, which being performed by the constructing translation knowledge apparatus; and extracting translation knowledge on a subcategory of a bilingual inflected-word from results of the word alignment and the syntactic alignment by using information on dependency relationship, which being performed by the constructing translation knowledge apparatus, wherein the performing includes: reconstructing the converted source-language sentence and the converted target-language sentence by using at least one of a surface type, a prototype, and a part-of-speech of a morpheme, and generating pairs of a plurality of reconstructed sentences; outputting a plurality of results of the word alignment by searching words corresponding to each other in the source-language sentence and the target-language sentence with respect to the pairs of the plurality of reconstructed sentences; correcting the results of the word alignment by using a previously held bilingual dictionary; post-processing that determines a proper word alignment as a word alignment that is obtained by, with respect to the plurality of results of the word alignment, excluding the corrected word alignment results and taking an intersection set; and performing the syntactic alignment by using the result of the proper word alignment and information on dependency relationship of the source language.

5. The method of claim 1 , wherein the source-language sentence and target-language sentence are input by performing morpheme analysis, part-of-speech tagging, and syntactic analysis.

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15. The computer storage media of claim 14 , wherein the method further comprises: presenting the transcribed text within the at least one of the plurality of sections with which the dictation audio input associated with the transcribed text is embedded.

14. The computer storage media of claim 10 , wherein the method further comprises receiving into one or more of the at least two of the plurality of sections, transcribed text associated with the dictation audio input embedded therein.

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6. A non-transitory computer readable storage medium having stored therein instructions executable by one or more processors to cause a computing system to perform functions for determining a word input by a gesture stroke on a virtual keyboard, the functions comprising: receiving data representing the gesture stroke; analyzing the received data to identify a set of dwell points in the gesture stroke; generating a simplified stroke polyline, wherein the simplified stroke polyline comprises vertices corresponding with the set of dwell points; determining an initial-line segment of the simplified stroke polyline, wherein the initial-line segment defines a segment from a landing location of the gesture stroke to a first identified dwell point from the set of dwell points; comparing the simplified stroke polyline with a plurality of predefined polylines each representing a respective word, to determine a closest matching predefined polyline, wherein the comparing comprises (i) adding the initial line-segment to each of the predefined polylines to generate enhanced predefined polylines and (ii) comparing the simplified stroke polyline with the enhanced predefined polylines; and outputting the word represented by the closest matching predefined polyline.

7. The non-transitory computer readable storage medium of claim 6 , wherein analyzing the received data to identify the set of dwell points in the gesture stroke comprises: comparing successive pairs of sample points of the gesture stroke to identify pairs of the sample points that are separated by a distance that is less than or equal to a threshold distance, and using the identified pairs as a basis to define the dwell points.

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18. The memory device of claim 17 , wherein only context data that satisfies a relevance threshold are used in the generating a vector based on at least one list of items and the generating an alternative vector based on an alternative list of items.

17. A computer usable memory device on which are stored computer-executable instructions that, when executed by at least one processor, perform a method of providing a suggestion, the method comprising: sensing context data related to an environment that surrounds the mobile computing device, through at least one sensor; generating a vector based on at least one stored list of items that reflects a user's preference; generating a vector based on the context data; formulating a hypothesis of an item of interest to the user based on an implicit user query arising from correlation between the vector based on the at least one list of items and the vector based on the context data; displaying on a user interface a suggestion of the hypothesized item of interest; receiving user input on the user interface relating to the displayed suggestion; generating an alternative vector based on an alternative list of items; formulating an alternative hypothesis of an alternative item of interest to the user based on correlation between the alternative vector based on the alternative list of items and the vector based on the context data; and modifying the display on the user interface to display an alternative suggestion based on the alternative hypothesis of the alternative item of interest to the user, wherein the hypotheses are that the user is interested in information about an item that will fulfill a task based on one or more lists, and generating a hypothesis includes generating at least one vector based on the at least one stored list of items and at least one vector based on the context data and assessing a degree in which the at least one vector based on the at least one stored list of items matches with the at least one vector based on the context data.

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6. The method of claim 1 , further including: extracting input data from a input message markup language document to create extracted input data; using the extracted input data in an application program, wherein the application program is written in the programming language; and generating markup language documents by use of the API.

1. A method for obtaining computer-generated markup language documents using a programming language, the method including: parsing, by a computer-based system for obtaining computer-generated markup language documents, a template document to determine a working storage structure corresponding to a plurality of tags, wherein the template document includes the plurality of tags; and generating, by the computer-based system and in the programming language, an application protocol interlace (API), wherein the API generates a markup language document during run-time, wherein the API generates a corresponding set of data elements corresponding to the working storage structure, and wherein the API includes a definition of the working storage structure including a plurality of API variables, code for each tag that participates in an array, and code configured to compress the data elements by truncating leading spaces in each data element, and wherein a dimension of the array can be adjusted in response to receiving input from a user interface.

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1. A method of checking electronic text document files containing descriptions of products and/or services on a computing system comprising: defining a plurality of separate target audiences for the electronic text document files using the computing system; wherein said plurality of separate target audiences are associated with a plurality of separate associated undesirable content vocabularies; receiving a plurality of electronic text document files designated to be communicated to said plurality of separate target audiences including a plurality of identified intended recipients; wherein at least two of said plurality of intended recipients are from different ones of said plurality of separate target audiences; providing at least one first electronic filter containing a first set of words corresponding to a first one of said separate associated undesirable content vocabularies for a first target audience; providing at least one second electronic filter containing a second set of words corresponding to a second one of said separate associated undesirable content vocabularies for a second target audience; wherein said first set of words and said second set of words are designated as offensive and/or inappropriate for communication with a corresponding designated first or second target audience respectively for the products and/or services; checking said plurality of electronic text document files for inappropriate content concerning the products and/or services with the computing system using said first and/or second electronic filter prior to initially distributing said plurality of electronic text document files to any designated identified intended recipients; wherein said first and second electronic filters can be invoked selectively by an operator of the computing system on a document-by-document basis, such that a first content in a first electronic text document file is not processed with said electronic filters, and a second content in a second electronic text document file is processed based on both said first electronic filter and said second electronic filters; controlling distribution of said plurality of electronic text document files to corresponding designated target audiences and said plurality of identified intended recipients with the computing system based on checking content with said electronic filters.

9. The method of claim 1 wherein said distribution can be controlled on a recipient by recipient basis.

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15. A computer system comprising: a processor; and a storage device connected to the processor, wherein the storage device has stored thereon a computer application model conflict reconciling program for controlling the processor, wherein the computer application models include i) an initial source computer application model, ii) an initial target computer application model generated by applying at least one transformation rule to the initial source computer application model, iii) a post-change target model produced by at least one change to the initial target model, and iv) a post-change source model produced by at least one change to the initial source model, and wherein the processor is operative with the program to execute the program for performing: automatically dividing the initial source and target models and the post-change source and target models into segments responsive to at least one segmentation rule, wherein the at least one segmentation rule is defined responsive to the at least one transformation rule such that use of the at least one segmentation rule divides the initial source and target models into corresponding, isomorphic segments, wherein the initial source and target models have an isomorphic structure in common on which to mark changes; automatically identifying change statuses of the initial segments relative to the post-change segments of the respective models responsive to comparing initial segments to post-change segments of the source model and initial segments to post-change segments of the target model; and automatically generating, on a data structure representing the in-common isomorphic structure, an indication of conflicts between the post-change source model and post-change target model for presentation to a user or to a computer automated conflict settlement process, wherein the generating is responsive to comparing the identified change statuses of the corresponding, isomorphic segments of the initial source model and initial target model, wherein at least part of the identifying and generating occurs after changes to both the initial source model and the initial target model.

18. The computer system of claim 15 , wherein identifying change statuses includes: identifying change status for each pre-change segment relative to any corresponding existing or deleted post-change segment of the respective models.

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20. A computer program product comprising: a computer usable medium having computer readable code embodied therein for configuring a computer, said computer program product comprising computer readable code configured to cause a computer to: obtain a script having commands for configuring said computer; parse said script; select, based on results of parsing said script, and from among a plurality of Plug-Ins, a Scripting Plug-In that maintains communication protocol-specific information that is not possessed by a Scripting Server that parses said script and selects said Scripting Plug-In; and forward said script to said Scripting Plug-In, wherein said Scripting Plug-In executes said commands thereby configuring one or more network communication protocols of said computer.

26. The computer program product of claim 20 , wherein the commands for configuring a computer include configuration settings.

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9. The method of claim 8 , further comprising applying the language-specific alphabet mapping table if a character in the word belongs to a union of language-specific alphabet set and a standard alphabet set.

8. The method of claim 1 , further comprising determining whether a word is associated with a mismatched language.

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2. The device of claim 1 , wherein the extent to which the voice message is compacted is further based on network congestion.

1. A device, comprising: a processor; and a memory having instructions stored thereon that, when executed by the processor, cause the processor to perform operations comprising: identifying a sender of a voice message; selecting an abbreviation library associated with the sender of the voice message; producing a text representation of the voice message; and compacting the text representation using the abbreviation library selected to produce a compact text representation, wherein the compact text representation includes an abbreviation from the abbreviation library selected, and an extent to which the voice message is compacted is based on network capacity and a subscriber profile.

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22. A method according to claim 21 , wherein the situational parameters include one or more parameters characterizing automobile speed, approaching objects, traffic, conditions, road conditions, weather conditions, and physical environment conditions.

21. A method according to claim 19 , wherein the situational parameters include one or more parameters characterizing an automobile driving environment.

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18. The method of claim 10 , wherein the requested collage document is downloaded to a client device via a network or broadcast on a website.

10. A method for loading media, the method comprising: receiving a request for a collage document electronically from a user device, the collage document including at least one page having a plurality of layers, each layer being associated with a media object, wherein the layers of a page form a non-overlapping sequential series of discrete media objects; receiving a specification of a maximum number of layers per page of the collage document; returning a page of the requested collage document electronically to the user device, wherein the page is viewed on the user device by moving the discrete media objects into and out of a visual window while still maintaining the discrete media objects as part of the collage document; and automatically populating user selected discrete media objects into a user selected style for the collage document from a plurality of predefined styles.

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10. The apparatus of claim 1 , wherein the at least one processor is further programmed to disambiguate at least one subsequent position based upon a contextual comparison between the subsequent position and stored information.

1. An apparatus for selectable input, comprising: a touch screen having a plurality of selectable regions therein; and at least one processor programmed for tracking motion that corresponds to interaction of a user in relation to the touch screen, wherein the tracked motion defines a path comprising path data, wherein the path data comprises sequential positions and corresponding times; for each sequential position, comparing the current position and corresponding time to the path data; detecting if the current position meets a threshold of a selectable position along the defined path, wherein the defined path comprises at least two selectable positions, wherein the threshold of a selectable position in relation to the touch screen comprises any of starting the defined path, looping the defined path, changing direction of the defined path, changing velocity of the defined path, pausing motion in the defined path, and ending the defined path, and wherein the threshold of changing direction comprises any of a curve having an estimated radius that is less than a threshold geometry, a comparison of the defined path direction before and after a curve, a sharp cusp edge in the defined path, or a comparison of path direction before and after a cusp; determining which of the detected selectable positions along the defined path correspond to one of the selectable regions; and adding a selection that corresponds to the determined selectable region to a sequence of selections that corresponds to the defined path.

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20. The method of claim 19, wherein said converting step is performed by a speech recognizer.

19. A method for generating a photo-realistic talking head for a text-to-speech synthesis application, comprising the steps of: sampling images of a talking head; extracting a plurality of parameters from each image sample; writing the image sample parameters into an animation library; sampling multiphone images of the subject; sampling sounds associated with the multiphone images; converting the sound samples into digital acoustic parameters; extracting a plurality of parameters from each multiphone image sample; storing the multiphone image parameters and associated acoustic parameters into a coarticulation library; reading, based on an input stimulus comprising one or more phoneme sequences, parameters from the coarticulation library associated with each phoneme sequence; generating, using parameters from the animation library, a sequence of animated frames corresponding to the read parameters and a sequence of associated sounds in synchrony with the animated frames sequence, the sequence of animated frames tracking the input stimulus.

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1. A key-symbol dictionary for learning multi-radical words in a Chinese-character-based language having a set of Chinese radicals, comprising: key-symbol pages each respectively associated with a single Chinese radical within the set of Chinese radicals and having thereon: the single Chinese radical as a symbol; a single keyword corresponding to a given meaning of the single Chinese radical, the single keyword: being in a user's language and having letters in the user's alphabet; and including therein a bridge comprised of at least one of the letters; and a list of memory joggers, each memory jogger being a word in the user's language containing at least the bridge, the list of memory joggers being selected such that a multi-radical word having at least two of the Chinese radicals can be recognized with a mnemonic formed from one memory jogger from each page corresponding to each of the at least two of the Chinese radicals; and the key-symbol pages being ordered alphabetically based on a spelling of the bridge associated with each key-symbol page.

13. The key-symbol dictionary according to claim 1 , wherein the Chinese-character-based language is selected from at least one of the group consisting of Japanese, Korean, Mandarin, Fu, Cantonese, Amoy Hokkien, Taiwanese, Thai, Vietnamese, and Singaporean.

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9. A system for notifying a user that a hyperlink is enabled for activation through a voice input comprising: a device with a display displayed thereon a visual interface having a first visual marker for the hyperlink to indicate that the hyperlink is activatable through a click and a second visual marker for the hyperlink to indicate that the hyperlink is activatable thorough a voice input, where the second visual marker is not displayed for the hyperlink when the hyperlink is not activatable through voice input even if the hyperlink is activatable through the click, wherein the second visual marker is different from the first visual marker; and a user interface for a user to turn on or off the second visual marker and configure characteristics of the second visual marker, wherein the configurable characteristics of the second visual marker includes an underline element, an enclosure element, a background element, a font element, a font size element, an emphasis element; wherein speech-related elements and functions of the device are linked with activation status of the second visual marker so that the speech-related elements and functions are activated when the second visual marker is turned on and the speech-related elements and functions are deactivated when the second visual marker is turned off.

10. The system of claim 9 , wherein the visual interface is an interface of a Web browser.

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41. The method of claim 29 , wherein the selecting the media stream comprises: receiving the media stream from the first user over a network.

29. A method for distributing an annotated media stream created by a first user, comprising: selecting a media stream under instruction from the first user, wherein the media stream is associated with an index of one or more segment identifiers that are associated with one or more segments of the media stream; selecting at least one item of supplemental content under instruction from the first user; mapping the at least one item of supplemental content to at least one of the one or more segment identifiers, such that the media stream remains substantially unaltered, wherein the mapping is performed under instruction of the first user to produce a mapping; distributing the media stream and the mapping to a first display device operated by a second user, different from the first user, wherein the media stream and the mapping produce the annotated media stream when utilized together, wherein the distributing comprises displaying the at least one item of supplemental content and at least a portion of the media stream in a simultaneous, time-synchronized manner such that the at least one item of supplemental content relates to a localized context specific to the segment, wherein the at least one item of supplemental content and a segment of the one or more segments of the media stream indicated by the one or more segment identifiers are displayed in separate, non-overlapping viewing panes; separating the at least one item of supplemental content from the media stream; sending the at least one item of supplemental content, independent of the media stream, to a second display device operated by the second user for later viewing without requiring an input from the second user or from the second display device; collecting a commission when the annotated media stream is viewed by the second user; providing a first portion of the commission to the first user, wherein an amount of the first portion of the commission is calculated, at least in part, based on a number of times the annotated media stream has been viewed; and providing a second portion of the commission to one or more individuals who selected the at least one item of supplemental content for mapping, wherein an allocation of the second portion of the commission among the one or more individuals is dictated by the one or more individuals.

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2. The method of claim 1 , wherein requesting information from the social networking system comprises providing to the social networking system one or more parameters for selecting the requested information, wherein the requested information received from the social networking system is selected based on the parameters.

3. The method of claim 2 , wherein the one or more parameters include at least a URL, domain, or network address for the requested information.

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8. The system of claim 7 , wherein the color in the area on the display screen defined by two overlapping excon images, has a spectral relationship to each of the colors in the two overlapping excon images.

7. The system of claim 6 , wherein the format element includes a color merge element, wherein an area on the display screen defined by two overlapping excon images, displays a color different from the colors unique to the two overlapping excon images.

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13. The system of claim 8 , wherein said clustering component further segments said first character string into a first plurality of character sets and said another character string into another plurality of character sets, and compares said first plurality of character sets with said another plurality of character sets.

14. The system of claim 13 , wherein each of said character sets comprise more than one adjacent characters of said character string.

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4. The method of claim 3 , further comprising determining whether the results of performing each of the plurality of queries comprises less than a predetermined size of the table.

5. The method of claim 4 , further comprising, in response to determining the results of performing each of the plurality of queries comprises less than the predetermined size of the table, hiding unused columns of the table.

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16. A system as recited in claim 15 , wherein the visual indication includes one or more of: a video frame of the media content, a numerical presentation time of the media content, and an indicator on a graphical time bar.

15. A system as recited in claim 13 , wherein the means for presenting comprises means for displaying a visual indication of the likely temporal location for each of the plurality of likely temporal locations.

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7. A method for a computer to answer a text based question using one or more sources of information, comprising: receiving at the computer from a user input the text based question; parsing into tokens the text based question; semantically interpreting the parsed, tokenized text, creating a plurality of linearized tuples corresponding to the text based question; and comparing the plurality of linearized tuples for the text based question to linearized tuples for semantically interpreted text within a database content according to a tuple conceptual graph (TCG) hierarchy, relation hierarchy, and node hierarchy, to find full or partial matches between the linearized tuples corresponding to the text based question and the database content; whereupon if only finding partial matches between the tuples for the text based question and the tuples for text within the database: performing TCG joins between a plurality of partially matched tuples from the database based either on partial tuple overlap or over any concept node argument to tuple information which comes from different texts, to combine content from the database into a new TCG reflecting new semantic information which is not fully or directly present in any individual textual source or previously stored in the database; and presenting a text representation of the new TCGs as the answer to the question.

10. The method of claim 7 , wherein the user input is from a web page and the answer to the question is presented on a web page.

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16. The method of claim 14 , wherein the exploring comprises: receiving a plurality of inputs, wherein the plurality of inputs comprises: a length of a body of the at least one loop, an index into the user demonstration that is associated with a start of the body of the at least one loop, a starting point index into the user demonstration, and a multimap that that maps one or more data values to one or more supports for the action; constructing the at least one loop in accordance with the plurality of inputs; executing the at least one loop for a plurality of iterations, wherein a number of the plurality of iterations is one less than a current iteration count; and forming a loop statement in accordance with variables contained in the at least one loop.

14. The method of claim 13 , wherein the discovering comprises, for each action in the plurality of actions: variablizing the action; exploring at least one loop anchored at the action; and deriving a set of one or more generalized program fragments from the at least one loop.

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1. A method for producing a phrase thesaurus, comprising the steps of: providing access to a thesaurus building computer coupled with a machine-readable phrase thesaurus database; identifying, by thesaurus building computer, a plurality of valid phrases that occur within a text corpus; determining, by thesaurus building computer, the degree of similarity between the valid phrases, wherein one or more contexts are created for each valid phrase, wherein each context for a valid phrase comprises a word or phrase that appears adjacent to the valid phrase in the text corpus, and wherein the degree of overlap of the contexts of each valid phrase with the contexts of each other valid phrase is determined; and grouping, in the phrase thesaurus database, the valid phrases into classes of equivalent valid phrases based upon the determined degree of similarity between valid phrases.

44. A method as in claim 1 , wherein the classes of equivalent valid phrases are arranged in a hierarchical structure.

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59. The method of claim 44 , further comprising directing the at least one agent to remedial materials based on the at least one aspect.

44. A method of improving agent performance, the method comprising at least the following: identifying at least one interaction handled by at least one agent, which interaction is deficient in at least one aspect, the at least one interaction being recorded as a video recording; obtaining a voice record of at least a portion of the at least one interaction; obtaining a further voice record of at least a portion of at least a further pre-recorded interaction or a plurality of pre-recorded interactions, wherein the plurality of pre-recorded interactions are stored in a library or data store containing exemplary interactions by the at least one agent made available for future reference, in which the at least one aspect is determined by generating a score using confidence level thresholds of an at least one automatic speech recognition component such that the confidence level thresholds are assigned to each of the plurality of panels and evaluating the score against a static or a varying standard of the least one automatic speech recognition component; and transmitting data representing at least the portions of the voice record and the further pre-recorded voice record or plurality of pre-recorded interactions to the at least one agent.

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1. A method comprising: retrieving data from an electricity smart grid; encoding said data into a data modeling technique; performing a data quality rules discovery process using a data set of said electricity smart grid and said data modeling technique encoded with said data to said data set to produce a plurality of data quality rules associated with said electricity smart grid, said data quality rules discovery process comprising: applying each of a set of candidate conditional functional dependencies to a data segment having a predetermined length of data points of said data set; and after said applying, if a candidate conditional functional dependency has a result signature that does not meet a predetermined expectation, refining that candidate conditional functional dependency by eliminating an attribute in that candidate conditional functional dependency that took on the most values throughout the data set.

5. The method of claim 1 , wherein said predetermined expectation comprises an estimate of how many different data points a candidate conditional functional dependency would apply to.

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8. The apparatus of claim 6 , wherein: determining the transportation mode comprises determining a user transportation mode and a recipient transportation mode, and determining the location candidate comprises: determining a navigational attribute type based, at least in part, on correlation between the navigational attribute type, the user transportation mode, and the recipient transportation mode; identifying a navigational attribute of the navigational attribute type; and determining the location candidate indicative of the navigational attribute.

6. The apparatus of claim 1 , wherein the memory includes computer program code configured to, working with the processor, cause the apparatus to perform at least the following: determine a transportation mode, wherein determining the location candidate is based, at least in part, on the transportation mode.

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13. The computer-implemented method of claim 6 , wherein estimating the reading pace of the user is based at least in part upon a time it took for the user to turn one or more previous pages in the electronic document.

6. The computer-implemented method of claim 4 , wherein monitoring the user interaction includes: estimating a reading pace associated with the user; and detecting a page turn command input by the user, wherein determining the estimated location is based at least in part upon the page turn command and the reading pace.

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23. A system including: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations including: providing a user interface for creating a table having at least one input column and at least one output column, wherein each input column is associated with an input variable and each output column is associated with an output variable; in at least one row of the table, receiving one or more conditions on input values in respective input columns, the conditions in the at least one row identifying more than one set of potential values of the input variables, and receiving one or more output values in respective output columns, thereby defining a rule case of a rule specification; generating a function for transforming data based on the rule specification; associating the function with the functional component; receiving changes to values in the rule specification, the changes including new potential values of the input variables for a condition; confirming that the changed rule specification is valid; and associating a new function with the functional component.

43. The system of claim 23 in which the one or more conditions on input values include one or more of: having a value equal to a threshold, having a value above a threshold, having a value below a threshold, having a value belonging to a set of values, having a value matching a pattern, having a relationship to a value of another input, having a relationship to a value of an output of another rule specification, or having a relationship to a value in a memory.

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13. The non-transitory computer readable storage medium of claim 12 further comprising: computer program instructions stored in the non-transitory computer readable storage medium, responsive to an editing operation creating a new external document on the edit screen, synchronizing a new managed external document with a new external document on the edit screen in order to create the managed external document corresponding to the external document.

14. The non-transitory computer readable storage medium of claim 13 , wherein the edit screen is a browser-type edit screen.

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6. The method of claim 1 where each explanation further comprises at least one of the group of close collaborators or a description of the patterns of collaboration events, associated with the artifacts in the plurality of groups of textual explanation.

1. A computer implemented method for suggesting one or more relevant artifacts from among a plurality of artifacts in a collaborative environment having a plurality of users, comprising: inferring, by a collaboration module executed by a processor, a group of close collaborators from among the plurality of users for a current user based upon interaction of the users with each other and the plurality of artifacts, wherein interaction amongst users creates collaboration events involving particular artifacts created, accessed, or marked by the current user or one of the group of close collaborators; determining, by a suggestion module executed by a processor and coupled to the collaboration module, the suggested one or more relevant artifacts based on at least one or more patterns of collaboration events of the group of close collaborators with respect to the artifacts, user feedback, and organizational rules; presenting a list of the suggested one or more relevant artifacts to the current user in a plurality of groups of textual explanation, each of the plurality of groups of textual explanation having a general textual explanation that applies to all artifacts in that group and each of the suggested one or more relevant artifacts in that group having a specific textual explanation comprising at least one reason each of the suggested one or more relevant artifacts in that group is suggested to the user by the suggestion module; and offering feedback controls for allowing the current user to vary the relevancy of the suggested one or more relevant artifacts, groups and close collaborators by providing interactive feedback controls.

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10. The user device of claim 9 , wherein the ranking associated with each of the content items is determined based on the content management system evaluating query logs associated with users that submitted queries associated with the region, wherein each content item is ranked based on a number of queries in the query logs for which each content item is responsive.

9. The user device of claim 8 , wherein to determine a plurality of content items in response to the geographic search query, the instructions cause the user device to: transmit, via a communication network, the area of interest corresponding to the region and the geographic search query associated with the region to a content management system; and receive, via the communication network, the plurality of content items from the content management system based on the area of interest and the geographic search query.

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12. The computer program of claim 1 , wherein content is personalized for the user using preferences identified for other users having a working vocabulary size within a same predetermined range as the size of the working vocabulary of the user.

1. A computer program embodied on a non-transitory computer readable medium, comprising computer code for: identifying by a social network text from content that is one of consumed and output by a user; determining by the social network a native language of the user indicated within a profile of the user within the social network; identifying by a vocabulary analysis module a total number of words within the identified text; measuring a size of a working vocabulary of the user by the vocabulary analysis module using the text upon determining that the identified text is in the determined native language of the user and upon determining that the total number of words within the identified text is greater than a predetermined number, where measuring the size of the working vocabulary includes: identifying a total number of distinct words within the identified text, and calculating the size of the working vocabulary as a ratio of the total number of distinct words to the total number of words within the identified text; storing by an advertisement database a plurality of advertisements, where for each of the plurality of advertisements, the advertisement is stored by the advertisement database in association with one of a plurality of vocabulary thresholds upon determining by the advertisement database that the advertisement has been previously selected by a threshold number of other users each having the working vocabulary matching the vocabulary threshold; and selecting by the advertisement database one of the plurality of advertisements for presentation to the user, where the advertisement is selected based on a determination that the advertisement is stored in association with a vocabulary threshold matching the size of the working vocabulary of the user.

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2. The method of claim 1 further comprising: referencing an additional metadata comprising at least one of the content identifier and the advertisement based on a video processing algorithm, wherein the additional meta data is at least one of a title, a description, a thumbnail, a name of an individual, and a historical data, and wherein the additional metadata is determined from a browser history captured from the client device based on a capture policy, and correlating a relevance of the browser history with at least one of the content identifier and the advertisement; constraining an executable environment in a security sandbox; executing a sandboxed application in the executable environment using a processor and a memory; automatically instantiating a connection between the sandboxed application and the unannounced device associated with the networked media device based on the determination that the internet protocol address of the port from the unannounced device is associated with the networked media device; processing an identification data associated with the sandbox reachable service sharing a public address with the client device; determining a private address pair of the sandbox reachable service based on the identification data; establishing a communication session between the sandboxed application and the sandbox reachable service using a cross-site scripting technique of the security sandbox; and appending a header of a hypertext transfer protocol to permit the networked media device to communicate with the sandboxed application as a permitted origin domain through a Cross-origin resource sharing (CORS) algorithm, wherein the header is either one of a origin header when the CORS algorithm is applied and a referrer header in an alternate algorithm.

1. A method of a client device comprising: applying an automatic content recognition algorithm to determine a content identifier of an audio-visual data; and associating the content identifier with an advertisement data based on a semantic correlation between a meta-data of the advertisement provided by a content provider and the content identifier, wherein a capture infrastructure annotates the audio-visual data with at least one of a brand name and a product name by comparing entries in the master database with at least one of a closed captioning data of the audio-visual data and through an application of an optical character recognition algorithm in the audio-visual data; wherein the content identifier is at least one of a music identification, an object identification, a facial identification, and a voice identification, wherein a minimal functionality comprising accessing at least one of a tuner and a stream decoder that identifies at least one of a channel and a content is found in the networked media device, wherein the networked media device produces at least one of an audio fingerprint and a video fingerprint that are communicated with the capture infrastructure, wherein the capture infrastructure compares at least one of the audio fingerprint and the video fingerprint with a master database, wherein the capture infrastructure annotates the audio-visual data with a logo name by comparing entries in the master database with a logo data of the audio-visual data identified using a logo detection algorithm, wherein the capture infrastructure automatically divides the audio-visual data into a series of scenes based on a sematic grouping of actions in the audio-visual data, wherein the audio-visual data is analyzed in advance of a broadcast to determine content identifiers associated with each commercial in the audio-visual data such that advertisements are pre-inserted into the audio-visual data prior to broadcast, wherein the capture infrastructure applies a time-order algorithm to automatically match advertisements to the audio-visual data when a correlation pattern is identified by the capture infrastructure with other audio-visual content previously analyzed, wherein the capture infrastructure includes a buffer that is saved to a persistent storage and for which a label is generated to facilitate identification of reoccurring sequences, wherein a post processing operation is at least one of automated through a post-processing algorithm and a crowd-sourced operation using a plurality of users in which a turing test is applied to determine a veracity of an input, wherein a device pairing algorithm is used in which a cookie data associated with a web page visited by the user stored on a browser on the client device is paired with the networked media device when the client device is communicatively coupled with the networked media device, wherein a transitive public IP matching algorithm is utilized in which at least one of the client device and the networked media device communicates each public IP address with any paired entity to the capture infrastructure, and wherein a tag that is unconstrained from a same-origin policy is used to automatically load the advertisement in the browser, wherein the tag is at least one of an image tag, a frame, a iframe, and a script tag.

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1. A method comprising: receiving a first query pattern, the query pattern identifying a particular rule to interpret a particular type of query, the query pattern being in a first language; identifying, with a system comprising one or more computing devices, a collection of queries in the first language matching the query pattern by determining which queries in a query log match the query pattern; segmenting a given query among the collection into one or more tokens in the first language, wherein each token includes one or more terms from the given query; annotating each query of the collection of queries with one or more labels identifying the parts of each query, wherein annotating each query of the collection of queries with one or more labels comprises: associating each of the one or more tokens with corresponding components of the first query pattern; and annotating the one or more tokens with labels for the corresponding components of the first query pattern; translating the collection of annotated queries in the first language into a translated collection of queries in a second language; and extracting a translated query pattern from the translated collection of queries, wherein for the given one of the plurality of queries, extracting a translated query pattern from the translated collection of queries comprises: determining, from an order in which the one or more tokens into which the given query was segmented in the first language are translated into the second language, an order in which labels for the components of the first query pattern correspond to translated terms of the given query; and extracting the translated query pattern from the order in which labels for the components of the first query pattern correspond to the translated terms of the given query pattern.

5. The method of claim 1 , where identifying a collection of queries includes identifying queries from a query log that match the first query pattern.

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1. A method, in a data processing system having a processor and a memory storing a store of semantic types and instructions for implementing a natural language processing engine for generating a question/answer pair list with semantically equivalent variants, the method comprising: generating a user interface for generating a question/answer pair list; receiving user input in the user interface specifying a question and an answer term and specifying an answer type from a list of previously created answer types, wherein the input term comprises the answer term; identifying, by the natural language processing engine executing on the data processing system, a semantic type of the answer term based on the store of semantic types; performing, by the natural language processing engine, a type-specific series of rule-based expansions of the answer term based on the identified semantic type of the answer term of the answer term; adding, by the natural language processing engine, at least one semantically equivalent variant from the set of semantically equivalent variants of the answer term in association with the specified question to the question/answer pair list to form an expanded question/answer pair list; and training, by the natural language processing engine, a question answering machine learning model for a question answering cognitive system using the expanded question/answer pair list as ground truth.

7. The method of claim 1 , further comprising performing normalization of regular expressions to account for special characters.

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13. The method of claim 8 , wherein the physical entities include the physical devices.

8. The method of claim 7 , wherein the user interface includes a plurality of menu panes, each menu pane being associated with a predefined type of entity.

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12. The method of claim 10 , wherein the execution of the automated response comprises sending a communication relating to the inferred user-specific context to another electronic device.

13. The method of claim 12 , comprising determining, from the selected user-specific context, one or more recipients for the communication and sending the communication to the one or more recipients over an electronic network.

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1. A method for processing text in a network browser, comprising: displaying text in a content page provided via a network browser, wherein the text includes text which is entered into the content page by a first user through a client device executing the network browser and text generated by a second user; and automatically limiting spell checking to the text which is entered by the first user by associating sections of the text entered by the first user with a plurality of respective nodes, detecting a change by the first user in one or more portions of the text after the text has initially been displayed in the content page, identifying one or more of the nodes that are associated with the changed text portions, transmitting one or more of the nodes that are associated with the changed text portions to a spell check service in response to detecting the change; and receiving correction information for the changed text portion from the spell check service in response to the transmitting step, wherein the correction information is displayed on the client device.

2. The method of claim 1 , wherein said step of detecting a change includes: receiving user input that changes the text.

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8. The filter engine system as recited in claim 4 , further comprising a sub-expression module that is configured to perform acts comprising: determine whether the input consists of different sub-expressions; in an event the input consists of different sub-expressions, directing each of the different sub-expressions contained in the input to the analyzer, wherein the analyzer is further configured to determine whether each of the different sub-expressions can be processed by the optimized filter sub-engine and to direct each of the different sub-expressions to an appropriate filter sub-engine for processing.

4. A filter engine system comprising: a processor coupled to a memory, the memory configured with instructions for implementing; an optimized filter sub-engine configured to accept an input that conforms to a language and process the input against a filter table associated with the optimized filter sub-engine, wherein the optimized filter sub-engine is configured to process only a subset of terms of the language, wherein the subset of terms of the language does not include all terms of the language, and wherein the language comprises a query language based on eXtensible Markup Language (XML), wherein the query language is XPath; a general filter sub-engine configured to accept the input and process the input against a filter table associated with the general filter sub-engine, wherein the general filter sub-engine is configured to process all terms of the input language; and an analyzer configured to determine whether the input can be processed by the optimized filter sub-engine and, if so, direct the input to the optimized filter sub-engine for processing, or if not, direct the input to the general filter sub-engine for processing.

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1. A method for prioritizing speech recognition results to be evaluated by a human transcriptionist, the method comprising acts of: associating a first accuracy rating with a first recognized phrase, the first recognized phrase being a portion of a first recognized text generated at least in part by performing speech recognition processing on one or more first spoken inputs; associating a second accuracy rating with the second recognized phrase, the second recognized phrase being a portion of a second recognized text generated at least in part by performing speech recognition processing on one or more second spoken inputs; and presenting the first and second recognized phrases to the human transcriptionist for evaluation, wherein: the first recognized phrase is presented in such a manner as to be outside a context of the first recognized text and dissociated from at least one other portion of the first recognized text, the second recognized phrase is presented in such a manner as to be outside a context of the second recognized text and dissociated from at least one other portion of the second recognized text, and at least one visual indication is provided to reflect a priority between the first and second recognized phrases, the priority being based at least in part on ranking the first and second accuracy ratings.

5. The method of claim 1 , wherein the at least one visual indication comprises: presenting the first recognized phrase in a first color selected based at least in part on the first accuracy rating associated with the first recognized phrase; and presenting the first recognized phrase in a second color selected based at least in part on the second accuracy rating associated with the second recognized phrase, the second color being different from the first color.

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16. The non-transitory medium of claim 12 , wherein the response to the disambiguation request includes a GPS location and a user identifier.

12. A non-transitory computer-readable medium having instructions encoded thereon, which, when executed by a processor, cause the processor to perform operations comprising: receiving, by a speech recognition engine, data indicating a selection of a control for initiating speech recognition that is presented by a referring application; receiving, by a speech recognition engine, audio data that encodes an utterance; determining, by the speech recognition engine, that a transcription of the utterance includes one or more keywords associated with a command, and a pronoun; transmitting, from the speech recognition engine to the referring application, a disambiguation request, wherein the disambiguation request identifies the pronoun; receiving, by the speech recognition engine, a response to the disambiguation request from the referring application, wherein the response references an item of content identified by the application; and generating, by the speech recognition engine, the command using the keywords and the response.

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9. The system of claim 1 , wherein the second device further includes a terminal session manager.

1. A system comprising: a first device including an audio capture component, the audio capture component comprising means for capturing an audio signal representing speech of a user to produce a captured audio signal; a speech recognition processing component comprising means for performing automatic speech recognition on the captured audio signal to produce speech recognition results; a second device including a result processing component; a context sharing component comprising: means for determining that the result processing component is associated with a current context of the user, comprising: means for identifying a list of at least one result processing component currently authorized for use on behalf of the user; and means for determining that the at least one result processing component in the list is associated with the current context of the user; and wherein the result processing component comprises means for processing the speech recognition results to produce result output.

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6. A position-determining device comprising: a processor; and memory configured to maintain: automated speech recognition (ASR) data divided according to partitions into a plurality of tiles, at least one of the tiles being configured as a common tile and a plurality of the tiles being geographically partitioned, wherein the common tile includes automated speech recognition (ASR) data common to at least two of the plurality of geographically-partitioned tiles, wherein the geographically-partitioned tiles are sized based on a minimum geographic search area; and one or more modules that are executable on the processor to: select one or more of the plurality of tiles based on information related to a user-initiated search and a geographic position, select the common tile based on the search information but not the geographic position; and translate an audio input using the selected tiles.

7. A position-determining device as described in claim 6 , wherein at least one of the common tiles includes a portion of said automated speech recognition (ASR) data that corresponds to particular goods or services.

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34. The computer-readable medium of claim 31 wherein the sequence of instructions cause the processor to perform the step of locating an entry within the context-dependent table by referencing both a record identifier and a context identifier.

31. A computer-readable medium having a sequence of instructions stored thereon that, when executed by a processor, cause the processor to construct a context-dependent view of database information by performing the steps of: identifying a field of a record to be retrieved as being either context-dependent or context-independent; and if the field is context-dependent, then retrieving database information for the field exclusively from a column associated with the field in a context-dependent table without reference to a column associated with a field in the context-independent table.

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6. A system comprising: a processor; a display coupled to said processor; an input device coupled to said processor; an audio output device coupled to said processor; memory coupled to said processor, wherein said memory comprises instructions that when executed cause said system to perform text to speech conversion, said method comprising: prior to a user selection to play an audible version of a portion of text, predictively identifying the portion of text for conversion to speech format, wherein said identifying comprises performing a prediction based on information associated with a user's prior reading of at least one prior-read book and based on the portion of text being newly released for access, the prior-read book being different from the portion of text being newly released for access; performing a text to speech conversion on said portion of text to produce converted speech; storing said converted speech into a memory device of said portable device; executing a reader application wherein a user request is received for narration of said portion of text; and during said executing, accessing said converted speech from said memory device and rendering said converted speech on said audio output device responsive to said user request.

8. The system of claim 6 wherein said information comprises identifications of newly added books and wherein said portion of text is taken from said newly added books.

Generate a child claim based on:

8. A non-transitory computer-readable storage medium storing computer-readable instructions, which when executed, cause a computing device to: store, by at least one processor, first data associated with prior communications sent to a user, the first data comprising a first profile for a caller that creates a voice message for the user, and the prior communications including at least one prior communication received from the caller; send, by the at least one processor, to a speech recognition system, the voice message for transcribing using at least a portion of the first data to provide a transcribed message; receive, from the speech recognition system, the transcribed message; and cause a presentation on a display, the presentation comprising the transcribed message, and the presentation further comprising options for selection of a corrected word by the user to correct a misspelled word in the transcribed message.

9. The storage medium of claim 8 , wherein the first data comprises a plurality of person profiles, including a second profile for a person referenced in the voice message other than the user and the caller.