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AIPD_nlp_claim_one

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6154783

09157093

1. A method of addressing electronic communications for transmission over a network, the method including: receiving a request to identify a proposed receipt of an electronic communication, the request including a plurality of communication terms within the electronic communication; accessing a knowledge profile including knowledge terms indicative of a knowledge base of a potential recipient of the electronic communication; identifying the potential recipient as a proposed recipient of the electronic communication utilizing terms within the electronic communication and the knowledge profile by comparing the communication terms and the knowledge terms, and detecting a correspondence therebetween; and prompting a sender of the electronic communication to either accept or decline the proposed recipient as an actual recipient of the electronic communication by inclusion of the proposed recipient as an addressee of the electronic communication, wherein the prompting of the sender to either accept or decline the proposed receipt includes providing the sender with information reflecting a reason for the proposal of the proposed recipient for inclusion as an addressee of the electronic communication.

20140278419

13830318

1. A method for specifying voice commands for an application, comprising: receiving an utterance at a speech engine that performs speech recognition for different applications comprising a command portion that specifies a command for the application to execute; determining the command for the application to perform based on the command portion of the utterance and content from a Voice Command Definition File (VCDF); and launching the application at a location associated with the command and providing information about the command for the application to execute.

9691411

14893253

1. A computer-implemented method for assessing suicide risk in a human subject, the method comprising the steps of: receiving voice data of the subject; and classifying the subject as suicidal or non-suicidal based upon a computerized analysis of one or more nonverbal characteristics of the voice data performed on a support vector machine (SVM) that utilizing hidden Markov models (HMMs), the nonverbal characteristics of the voice data including prosodic and voice quality-related features of the voice data selected from one or more of an acoustic measure of energy in dB (en, en slope ), an acoustic measure of fundamental frequency (f 0 ), an acoustic measure of peak slope (peak), and an acoustic measure of spectral stationarity (ss), the prosodic and voice quality features including an acoustic measure of Liljencrants-Fant (LF) model parameters from time domain estimation methods, including three time-based parameters (R a , R k and R g ) an amplitude parameter (EE), an Open Quotient (OQ), and a parameter characterizing the basic shape of the LF model (R d ) and the classifying including classifying the subject as being suicidal based upon the voice data exhibiting the characteristics of a breathy phonation type.

20050267754

10857446

1. A method for performing speech recognition, comprising: receiving a voice input; generating a speech recognition result based on the voice input; calculating a value using the speech recognition result; and comparing the calculated value to a portion of the speech recognition result.

7543270

10763487

1. In an electronic device, a method comprising: receiving a textual input description, the input description including text to be displayed and a first set of textual cross-references associated with segments of the text to be displayed, each textual cross-reference including one or more textual identifiers for the associated segment of the text to be displayed; receiving a textual output description, the output description including text to be displayed and a second set of textual cross-references associated with segments of the text to be displayed, each textual cross-reference including one or more textual identifiers for the associated segment of the text to be displayed; identifying a first cross-reference in the first set of cross-references associated with a segment of the text to be displayed in the input description using the electronic device; searching the second set of cross-references in the output description to identify a second cross-reference that matches the first cross-reference using the electronic device, the second cross-reference matching the first cross-reference when at least one identifier in the second cross-reference matches at least one identifier in the first cross-reference, the second cross-reference being associated with a segment of the text to be displayed in the output description that corresponds to the segment of the text to be displayed in the input description; and displaying the segment of the text to be displayed in the input description and the segment of the text to be displayed in the output description together on a display.

20030074462

09976301

1. A method to facilitate translation of communications between entities over a network, said method comprising: communicating a plurality of predetermined language constructs to a first entity as a first transmission over said network; responsive to selection by said first entity of a language construct of said plurality of predetermined language constructs, identifying a translated language construct corresponding to said selected language construct; and communicating said translated language construct to a second entity as a second transmission over said network.

20010021903

09726618

1. A simulation method for simulating a system having a plurality of circuit modules using software, comprising the steps of: using an object oriented language; preparing a plurality of circuit base classes, which describe base circuit modules as classes, as a library; describing the circuit modules to be simulated as classes by inheriting the circuit base classes prepared as the library; and describing the system to be simulated by combining the circuit modules described as the classes.

20030236761

10409431

1. A machine comprising: (a) a memory which stores a collection of templates, (b) a learning component which constructs said templates, whereby said machine does not get stuck in local minima, and whereby said machine enhances what any machine can learn, and whereby said machine greatly increases the speed, and whereby said machine enhances the representation of knowledge.

20070226211

11692093

1. A Method of evaluating coded medical documents, the method comprising: receiving one or more audit parameters; selecting a sample batch of coded documents from a universe of coded documents based at least in part on the received audit parameters; processing one or more documents of the selected sample batch to calculate a document score for each processed document based on corrections corresponding to the processed document received from one or more auditors; and calculating a sample score based on a function of the document scores, the sample score correlating to subjective auditor assessments of a coding process used to code the selected sample batch of coded documents.

20090048834

12258103

1. A method comprising steps of: (A) identifying a first portion of an original audio signal, the first portion representing sensitive information; and (B) producing a modified audio signal in which the identified first portion is protected against unauthorized disclosure.

9043331

13620911

1. A method comprising: maintaining a URL database comprising a plurality of URLs; retrieving, without user intervention, a first document associated with a first URL from the plurality of URLs; parsing, using at least one processor, the first document to identify one or more additional URLs within the first document; comparing the one or more additional URLs to the URL database to determine if the URL database includes the one or more additional URLs; if it is determined that the URL database does not include the one or more additional URLs, updating the URL database to include the one or more additional URLs; determining if the one or more additional URLs are root URLs based on a set of predefined rules; when it is determined that the one or more additional URLs are root URLs, classifying the one or more additional URLs as root URLs in the URL database and updating the URL database to add the classification that the one or more additional URLs are root URLs; querying a third-party database for additional information associated with the one or more additional URLs; updating the URL database to include the additional information associated with the one or more additional URLs; and repeating the steps of retrieving, parsing, comparing, and updating for each of the one or more additional URLs.

9600731

14681899

1. An image processing apparatus comprising: an interface configured to receive, from an external apparatus, a first image and a second image, wherein the first image is different from the second image; and a processor configured to: extract a first character string appearing on the first image, and a second character string and a third character string appearing on the second image, cut out each of characters constituting the first character string, in units of a character, cut out each of characters constituting the second character string, in units of a character, and cutting out each of characters constituting the third character string, in units of a character, calculate a first similarity degree group which is composed of similarity degrees between the respective characters constituting the first character string and respective candidate characters in a candidate character group, calculate a second similarity degree group which is composed of similarity degrees between the respective characters constituting the second character string and the respective candidate characters in the candidate character group, calculate a third similarity degree group which is composed of similarity degrees between the respective characters constituting the third character string and the respective candidate characters in the candidate character group, and determine which of the second character string and the third character string corresponds to a first subject which is identical to the first character string, by comparing the first similarity degree group with the second similarity degree group and the third similarity degree group.

8661335

12885775

1. A method of identifying content of interest in a structured electronic document by an electronic device having a processor, an input device, and a display device, the method comprising: obtaining, by the processor, a structured electronic document from an originating web server; rendering the structured electronic document to the display device; receiving through the input device at least two separate indications of content elements within the rendered structured electronic document; identifying with the processor a common characteristic of the indicated content elements; and identifying any further content element within the rendered structured electronic document sharing the common characteristic with the indicated content elements, wherein the input device comprises a pointing device and wherein receiving the at least two separate indications of content elements comprises receiving each indication from the pointing device when applied at a displayed location of a content element in the rendered structured electronic document.

7640006

10751022

1. A method of providing information assistance to a wireless terminal, comprising the steps of: receiving, from a wireless terminal operated by a requestor, a contact information request with an information assistance application located on an information assistance server, wherein the contact information request is a request for contact information of a user of a subscriber terminal that is other than the wireless terminal; querying a participating communication provider database of a communication provider providing communication services to the wireless terminal to identify a virtual key of the requestor from unique information of the wireless terminal included with the contact information request, the virtual key being a universal anonymous identifier of the requestor that is shared among a plurality of different participating businesses; accessing a consumer internal profile database containing verification data of the requestor and proprietary information of the requestor with the virtual key of the requestor, the verification data providing verification of consent by the requestor of release and use of the proprietary information of the requestor; accessing permissions of the user of the subscriber terminal with the information assistance application to determine if the contact information request should be automatically denied categorically or specifically, based on the proprietary information of the requestor obtained from the consumer internal profile database with the virtual key of the requestor; determining a contact preference for how to contact the subscriber terminal about the received contact information request with the information assistance application only when the information request is determined as not being automatically denied; generating an authorization request to request permission from the subscriber terminal to provide the contact information of the user of the subscriber terminal to the wireless terminal, wherein the authorization request includes an indication of an identity of the requestor based on the proprietary information of the requestor; transmitting the authorization request to the subscriber terminal in accordance with the determined contact preference; receiving a reply from the subscriber terminal indicative of whether or not the requested information record is permitted to be provided to the wireless terminal; accessing the consumer internal profile database to determine pre-determined contact parameters of the requestor based on the virtual key of the requestor; and generating a response for transmittal to the wireless terminal when the reply is indicative of permission to proceed with provision of the requested contact information of the user to the wireless terminal, the response including only contact information identified by the user of the subscriber terminal as permissible to send to the wireless terminal, the response generated in accordance with the format preferences of the requestor.

5560337

08106842

1. An ignition timing control method responsive to a sensed knock condition in internal combustion engine cylinders, comprising the steps of: determining a spark retard command in response to the sensed knock condition; sensing a predetermined set of engine operating conditions; setting a plurality of membership functions based on the sensed predetermined set of engine operating conditions; applying the set plurality of membership functions to a fuzzy inference engine having a knowledge rulebase for generating a set of truths responsive to the application of the set plurality of membership functions; normalizing the set of truths according to the relative degree each of the set of truths indicates an engine knock condition; positioning the normalized set of truths according to the absolute degree each of the set of truths indicates an engine knock condition; calculating a spark retard adjustment as a predetermined function of the normalized, positioned set of truths; adjusting the spark retard command in accord with the calculated spark retard adjustment; adapting a learned spark retard value, by (a) selecting an active learning cell, (b) adjusting a learned spark retard value corresponding to the active learning cell as a predetermined function of both the sensed knock condition and the set of truths; modifying the spark retard command in accord with the adjusted learned spark retard value; and controlling ignition timing in accord with the spark retard command.

6112177

08965702

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

20120116763

13383150

1. A voice data analyzing device comprising: a speaker model deriving unit which derives speaker models as models each specifying character of voice of each speaker from voice data including a plurality of utterances to each of which a speaker label as information for identifying a speaker has been assigned; and a speaker co-occurrence model deriving unit which derives a speaker co-occurrence model as a model representing the strength of co-occurrence relationship among the speakers from session data obtained by segmenting the voice data in units of sequences of conversation by use of the speaker models derived by the speaker model deriving unit.

20050021548

10626835

1. A method for exporting at least a portion of a relational database to an XML document, comprising the steps of: obtaining an initial view query that defines an XML view on a relational database and an XSLT stylesheet specifying at least one transformation; modifying said initial view query to account for an effect of said at least one transformation; and applying said modified view query to said relational database to obtain said XML document.

9135242

13832339

1. A computerized method for the analysis of textual data, comprising: receiving, from one or more memories at one or more processors, textual data to be analyzed; using the one or more processors, formatting the textual data for subsequent analysis; using the one or more processors, applying a probabilistic topic model to the textual data to extract a set of semantically meaningful topics that collectively describe all or a portion of the textual data; using a keyword weighting module executed on the one or more processors, generating a topic cloud view representing the topics as a tagcloud with each being associated with a plurality of keywords; using a topic ordering module executed on the one or more processors, generating a document distribution view representing a distribution of all or a portion of the textual data across multiple topics; using a document entropy calculation module executed on the one or more processors, generating a document scatterplot view representing how many topics are attributable to all or a portion of the textual data; using a temporal topic trend calculation module executed on the one or more processors, generating a temporal view representing changes in the occurrence of topics over time in relation to all or a portion of the textual data; and displaying one or more of the topic cloud view, the document distribution view, the document scatterplot view, and the temporal view to a user in the analysis of all or a portion of the textual data.

7838755

12031654

1. A computer method of performing a music search, the method comprising: receiving a music query that specifies a music element; generating a set of search parameters based on the music element specified by the received music query; directing the set of search parameters against a database comprising a plurality of data records, each data record being associated with a music piece and a set of music elements relating to the music piece, wherein: the set of music elements associated with at least one data record comprises data deconstructed from the at least one music piece by determining music micro-elements and determining music macro-elements based on the determined music micro-elements; identifying a set of matching data records in the database, the set of matching data records comprising data records that match the set of search parameters; identifying a set of matched music pieces in the database, the set of matched music pieces comprising music pieces that are associated with the set of matching data records; and producing search output comprising the matched music pieces arranged in a ranked list.

20110289520

12785252

1. A method comprising: causing, at least in part, reception of a request for a semantic resource; determining whether the semantic resource is known to a first application; discovering one or more properties of the semantic resource based, at least in part, on the determination; identifying a second application associated with the semantic resource based, at least in part, on the one or more properties; and causing, at least in part, presentation of the semantic resource through the second application.

8468207

13282298

1. A computer implemented method for formatting a user-generated comment for display on a page of a website, the method comprising: using at least one computer to perform steps, the steps comprising: retrieving the comment from a repository; determining whether the comment includes a programmatically identifiable watermark; responsive to the comment including a programmatically identifiable watermark, adjusting a spam score associated with the comment, the adjusted spam score indicating high likelihood that the comment is a form of spam; and responsive to comment not including a programmatically identifiable watermark: determining whether the comment is a form of spam; responsive to the comment being spam, adding a programmatically identifiable watermark to the comment; and formatting the comment with the programmatically identifiable watermark for display on the page.

8145620

12118057

1. One or more computer-readable storage media having computer instructions embodied thereon for performing a method for executing a keyword expression language to match keyword expression language syntax to search queries and ads, the method comprising: implementing the keyword expression language to use a syntax and to generate a set of keywords; receiving one or more letters with one or more symbols to represent an instance in the keyword expression language, wherein a combination of the one or more letters with the one or more symbols or a subset of the combination of the one or more letters with the one or more symbols is the syntax that is represented by the instance, and wherein the instance in the keyword expression language defines one or more permutations of a set of keywords; associating the instance with one or more ads, wherein the one or more permutations of the set of keywords are also associated with the one or more ads; storing the instance in a database; and executing the keyword expression language with a set of tokens, wherein a token represents a group of related keywords.

9600825

13734556

1. A method of estimating a probability of re-sharing information, comprising: extracting keywords from a set of documents addressed to a user, said documents being published on social media; weighting the keywords from the set of documents according a metric for the user's interest in the keywords' respective source documents to create an interest model; receiving a new document having one or more keywords; determining a likelihood that the user will re-share the new document on social media using a processor, said likelihood being based on the interest model and the one or more keywords present in the new document, wherein the likelihood comprises a probability defined as: P ( u , m ) = a ⁡ ( t m ) ⁢ ( 1 - ∏ j ⁢ ⁢ ( 1 - q j ( u ) ⁢ f j ⁡ ( m ) ) ) where f j (m) is 1 if the keyword j appeared in a post m and is 0 otherwise, where q j (u) is a weighted value for the keyword j for the user u, and where α(t m ) is an activity function at time t m ; and automatically performing one of addressing a complaint in the new document, issuing a press release, or initiating an advertising campaign, using a processor, responsive to the new document based on the determined likelihood.

20140280529

13798367

1. A method comprising: receiving, by a computer system, emotion sensor data from a plurality of distributed electronic devices, wherein the emotion sensor data is based on information sensed by the plurality of distributed electronic devices for a plurality of contexts; determining, by the computer system, a first context in the plurality of contexts; determining, by the computer system, a first portion of the emotion sensor data determined to be received from a first portion of the plurality of distributed electronic devices, wherein the first portion of the emotion sensor data is based on information sensed for the first context; and determining, by the computer system, a first emotion profile for the first context based on the first portion of the emotion sensor data, wherein the first emotion profile comprises a description of a first emotion associated with the first context.

8599836

13011611

1. In a computer-implemented contact center enabling a user to create and launch on demand, automated outbound interactive voice calls to contacts based on a user-provided call script, a non-transitory computer-readable medium having program code embodied therein configured to cause the execution of the following steps: a. Providing a website application accessible by the user via a user computer equipped with a web browser, the website application comprising a visual user interface for a contact center, b. Prompting the user to create a user account for accessing and using the contact center by providing user information comprising a user password, c. Providing contact information comprising contact phone numbers, the contact information stored in a contact information database on a data server of the service provider of the contact center and accessible to the user via the user's account, d. Prompting the user to optionally input custom answers per a user-generated call script where the call script comprises at least one question anticipating a custom answer from a contact, the custom answers to be recognized b a speech application, e. Providing a built-in audio recording capability enabling the user to record and save voice recordings for each event of the call script, f. Via an Event Add Wizard and Logic Add Wizard, enabling the user to build and save a call sequence based on the call script by pointing and clicking to successively add previously saved prompts of each message event and each question event of the call script and a logic for controlling the sequencing of events dependent upon the contact's response to a question event, g. Providing a Transfer to Live Attendant functionality whereby the user optionally adds a Transfer to Live Attendant Event into a call sequence during the call sequence creation step f, the transfer to Live Attendant Event causing the call to be automatically transferred to a user-provided phone number upon a specified contact response to a question event in the call sequence, h. Creating a broadcast, the broadcast defined by a saved call sequence and a plurality of contacts who are the intended recipients of a call based on the call sequence, i. Launching the broadcast, j. Automatically capturing and saving exportable audio recordings of contact voice responses to open-ended questions in the call sequence, where the call script comprises at least one open-ended question, and k. Providing one or more reports comprising information from contact responses to question events in the call sequence of the broadcast.

20060274069

11447416

1. A system of one or more electronic portraits for presenting preprogrammed animations including facial expression and voice, comprising: one or more artificially animated figure busts, disposed on said portraits, a communications channel, and a scripting platform; each of said artificially animated figure busts having a three dimensional replica of a face; each of said replicas of a face having one or more moveable facial features; each of said artificially animated figure busts having mechanical means for moving said facial features and motive means for actuating said mechanical means; said motive means being operably connected to said mechanical means and said mechanical means being operably connected to said facial features; each of said artificially animated figure busts having sound reproducing means; each of said artificially animated figure busts having first data processing means for receiving and processing command signals, to receive, store, retrieve, and perform said preprogrammed animations; said first data processing means having a plurality of output channels operably connected to said motive means and said sound reproducing means; each of said artificially animated figure busts having means for energizing said motive means, said sound reproducing means and said first data processing means; said scripting platform having second data processing means; said second data processing means having means for preparing, editing, and storing, said preprogrammed animations; said second data processing means having means for marking said stored animations with a unique label for each of said animations and with a unique address for each of said figure busts; said second data processing means having means for preparing and storing parameters, next animation pointers, animation duration data, and animation lists with addresses, for orchestrating performance of said preprogrammed animations; said scripting platform being electronically linked to each of said artificially animated figure busts by said communications channel; a one of said figure busts having a command package; said command package being electronically linked to each of said artificially animated figure busts; said second data processing means having means for delivering said parameters, next animation pointers, animation duration data, and animation lists with addresses to said one of said figure busts, and means for delivering said marked animations to said figure busts, by said communications channel; said command package having means for determining an initiation event and for issuing one or more of said command signals to said figure busts for retrieving and performing said animations.

8200490

11704271

1. A method of searching music using speech recognition, the method comprising: recognizing as a phoneme sequence a speech signal uttered by a user; and searching music information by performing partial symbol matching between the recognized phoneme sequence and a standard pronunciation sequence, considering pronunciation differences between a pronunciation of—sequenced partial symbols in the standard pronunciation sequence—and a pronunciation of a single partial symbol within the sequenced partial symbols or a pronunciation of a sequence of partial symbols less than all of the sequenced partial symbols within the sequenced partial symbols, wherein the recognizing comprises: extracting a feature vector sequence of the speech signal uttered by the user; and converting the extracted feature vector sequence to the phoneme sequence, so that the speech signal is recognized as the phoneme sequence.

8060816

09703174

1. A computer-based method of performing document retrieval in accordance with an information network, the method comprising the steps of: initially retrieving one or more documents from the information network that satisfy a user-defined predicate, wherein the initial document retrieval operation is performed without assuming a specific model of a linkage structure such that the initial document retrieval operation retrieves the one or more documents without assuming that a relationship exists between a feature of a first one of the one or more documents and a feature of at least another one of the one or more documents that links to the first one; collecting at least a set of aggregate statistical information and a set of predicate-specific statistical information about the one or more retrieved documents as the one or more retrieved documents are analyzed; and using the collected statistical information to automatically determine further document retrieval operations to be performed in accordance with the information network, wherein the statistical information using step further comprises learning a linkage structure from at least a portion of the collected statistical information with each successive document retrieval operation such that the learned linkage structure is available for use in performing subsequent document retrieval operations requested by a user.

9971758

14989621

1. A method comprising: receiving a first voice input from a user device; generating a first recognition output; receiving a user selection of one or more terms in the first recognition output; receiving a second voice input spelling a correction of the user selection, the second voice input including a series of letters; determining a corrected recognition output for the selected portion, wherein determining a corrected recognition output includes: initiating parallel voice recognition processes on the second voice input including a letter specific voice recognition process and a base voice recognition process, scoring recognition outputs generated for each of the parallel voice recognition processes, wherein the letter specific voice recognition process is scored based on the recognition of the spelled correction and wherein the base voice recognition process is scored based on the recognition for the spelled correction and one or more other terms of the first recognition output, and selecting the corrected recognition output based on the scores; and providing a second recognition output that merges the first recognition output and the corrected recognition output.

8682819

12142747

1. A computer-implemented tagging system, comprising: a learning component for learning user tagging behavior related to tagged data by analyzing an application of tags to messages by a user, wherein the learning component generates tokens from the tagged data, maps the tokens to a tag the user has applied and employs a conjugate gradient regression algorithm to learn the user tagging behavior by separating the tagged data according to an n-dimensional categorization process; a selection component for automatically predicting and selecting one or more tags from a tagset based on prior tagging habits of the user, as indicated by the learned user tagging behavior; a tagging component for automatically tagging new data entering the system by automatically applying the one or more tags based on the prior tagging habits, indicated by the learned user tagging behavior, to enable auto-tagging for reducing a tagging burden of the user, wherein the automatically applied tag may be overridden by the user; a feedback path for feeding back at least a portion of the tagged new data into the tagged data, at least a portion of which was previously used as training data, to perform retraining of the learning component to adapt to new user tagging behavior, wherein the retraining is performed periodically or in response to a predetermined threshold number of automatically applied tags being overridden by the user; and a processor that executes computer-executable instructions associated with at least one of the learning component, the selection component, or the tagging component.

20130238312

13760535

1. A device for extracting information from a human-to-human dialog between at least a first speaker and a second speaker, the device comprising: at least one microphone; a screen display; and at least one programmable processor and at least one data storage unit for storing digital data, wherein the at least one programmable processor is in communication with the at least one microphone and the screen display, and wherein the at least one programmable processor is programmed to: automatically recognize speech by the first speaker received by the at least one microphone; automatically recognize speech by the second speaker received by the at least one microphone; extract at least information from the recognized speech by the second speaker; and enter the extracted information from the recognized speech by the second speaker into an electronic form that is stored in the at least one data storage unit of the computer system and displayed in a graphical user interface on the screen display.

8799793

11403226

1. A method for creating customized definitions for user interfaces provided by a field device editor, the method comprising the steps of: maintaining in a device definition database a first device template corresponding to a device type, wherein the first device template includes a first definition of an editor interface for the device type; modifying the first definition of the editor interface via a customization tool associated with the editor interface for the device type, thereby rendering a modified version of the first definition of the editor interface; wherein the modifying step comprises customizing a download operation for commissioning device instances; and storing the modified version.

20160148616

14826151

1. A dictation device comprising: an audio input device configured to receive a voice utterance including a plurality of words; a video input device configured to receive video of lip motion during the voice utterance; a memory portion; a controller configured according to instructions in the memory portion to generate first data packets including an audio stream representative of the voice utterance and a video stream representative of the lip motion; and a transceiver for sending the first data packets to a remote apparatus and receiving second data packets including combined dictation based upon the audio stream and the video stream from the remote apparatus, wherein in the combined dictation, first dictation generated based upon the audio stream has been corrected by second dictation generated based upon the video stream.

9953274

14063890

1. A ticket management system for dynamically selecting attributes indicative of human users, evaluating users and selectively presenting offers to estimated human users, the ticket management system comprising: one or more processors; and one or more memories coupled with the one or more processors, wherein the one or more processors and one or more memories comprising: a user characteristic definer that defines a user characteristic, the user characteristic being an estimation that a user is a human user, wherein: when the user corresponds to the user characteristic, the user is estimated to be a human user, and when the user does not correspond to the user characteristic, the user is estimated to be a robot user; a model engine that: identifies a model that enhances the user characteristic definer by detecting when users alter activity to cause the ticket management system to falsely characterize the users, the model including at least one machine-learning algorithm, automatically identifying, using the at least one machine-learning algorithm, an initial set of attributes based on the user characteristic, each attribute of the initial set of attributes being used to determine whether users correspond to the user characteristic, and at least one attribute of the initial set of attributes characterizing an engagement based on at least one of: interactions with the ticket management system, interactions with a social media system, membership to one or more groups, past event attendances, and information in user profiles; determines, for each user in a first set of users, a first value for each attribute in the initial set of attributes, the first value being indicative of an extent of the engagement; identifies a collection of users previously determined to correspond to the user characteristic; automatically detects whether a rate of increase of users in the collection of users meets or exceeds a threshold, the meeting or exceeding the threshold indicating a likelihood that one or more users have altered activity to cause the ticket management system to falsely characterize the one or more users as a human user; in response to detecting that the rate of increase meets or exceeds the threshold, automatically determines to modify the initial set of attributes, each attribute in the modified set of attributes being used to determine whether users correspond to the user characteristic; determines, for each user in a second set of users, a second value for each attribute in the modified set of attributes, the second value being indicative of an extent to which a user corresponds to the user characteristic; and continuously detecting, using the at least one learning algorithm, whether or not at least one user has altered activity to cause the ticket management system to falsely characterize the at least one user; a human user detector that: identifies a first group and a second group from amongst the first set of users based on the determined first values; and identifies a third group and a fourth group from amongst the second set of users based on the determined second values, wherein each user in the third group corresponds to the defined user characteristic, wherein each user in the fourth group does not correspond to the user characteristic, and wherein users in the second set of users are different from users in the first set of users; and a ticket engine that: determines that ticket offerings are to be biased to favor users in the third group over users in the fourth group; generates a digital presentation for each user in the second set of users based on the determination that ticket offerings are to be biased to favor users in the third group over users in the fourth group, the digital presentation being different for users in the third group than for users in the fourth group; and transmits the digital presentation to each user in the second set of users, the digital presentation causing an interface to be displayed when received at a user device associated with each user in the second set of users, the interface being configured to receive ticket requests when the interface is displayed at the user device associated with each user in the third group, and the interface being configured to not receive ticket requests when the interface is displayed at the user device associated with each user in the fourth group.

20080097744

11584217

1. A method comprising: accessing a first data object and a second data object of a data structure representing electronic content, the second data object being associated with the first data object; selecting, based on first content included in the first data object, a grammar rule included in a grammar, the grammar rule including a grammar rule item; based on second content included in the second data object, selecting the grammar rule item included in the grammar rule; and based on the second content and the grammar rule item, generating a portion of a textual representation of the electronic content.

9082040

13107717

1. A method comprising: receiving an image; defining a region of visual context in the image; partitioning the region of visual context into sectors; producing a sub-histogram for each sector, wherein the sub-histograms represent which of the sectors contain which of one or more local interest points in the region of visual context; concatenating the sub-histograms produced for each sector to generate a histogram describing a contextual distribution of the region of visual context; and storing the histogram describing the contextual distribution of the region of visual context.

20080162138

12049562

1. A computer-implemented method comprising: accessing a single, natural language voice command; determining, using a repository that associates multiple operations with natural language voice commands, multiple selected operations that correspond to the received single, natural language voice command; and applying the multiple selected operations to a user interface.

20160350655

14992041

1. A neural network based system for spell correction and tokenization of natural language, said system comprising: An artificial neural network architecture, to generate variable length ‘character level output streams’ for system fed variable length ‘character level input streams’; An auto-encoder for injecting random character level modifications to the variable length ‘character level input streams’, wherein the characters include a space-between-token character; and An unsupervised training mechanism for adjusting said neural network to learn correct variable length ‘character level output streams’, wherein correct variable length ‘character level output streams’ needs to be similar to respective original variable length ‘character level input streams’ prior to their random character level modifications.

20090094027

11867033

1. A method comprising: defining sub-feature units with respect to a feature of source speech; and performing voice conversion of the source speech to target speech based on the conversion of the sub-feature units to corresponding target speech sub-feature units using a conversion model trained with respect to converting training source speech sub-feature units to training target speech sub-feature units.

7536711

11147726

1. A structured document processing device comprising: state-transition-diagram information storing means for storing, as state-transition-diagram information, information concerning a state transition diagram in which a plurality of source nodes of a source structured document transit in order of occurrence from a head of the source structured document, with regard to the source structured document which is designed to be able to be partitioned into the plurality of source nodes as a plurality of nodes concerning structured partitions; selection-pair extracting means for extracting, as a selection pair, a pair consisting of one of a plurality of new nodes in a new structured document and corresponding one of the source nodes in the state transition diagram in accordance with order in which the new nodes occur from a head of the new structured document, and in accordance with order in which the source nodes transit from one to another in the state transition diagram, with regard to the new structured document which is designed to be able to be partitioned into the plurality of new nodes as a plurality of nodes concerning structured partitions; matchingness check means for determining whether or not there is matchingness between the source node and the new node in each of the selection pairs, on basis of descriptions respectively of the source node and the new node; node qualifying means for qualifying the source node as a node to be used for the new node with regard to the source node and the new node in the selection pair, when it is decided that there is matchingness between the source node and the new node in the same selection pair; transition-history information generating means for generating, as transition-history information, information concerning a transition history which goes on through a plurality of nodes to be used in the state transition diagram in order of transition; and degree-of-approximateness detecting means for detecting a degree of approximateness between the source structured document and the new structured document, on basis of the transition-history information.

20140032452

13950117

1. A method of creating a customized recommendation agent for a user, comprising: receiving a set of contexts describing the user's past behavior; analyzing the set of contexts to build a personality model corresponding to the user, the personality model comprising a plurality of metrics, each metric describing the user's affinity with a corresponding one of a plurality of personality traits; and creating the customized recommendation agent based on the personality model, the customized recommendation agent configured to provide a recommendation to the user responsive to the plurality of metrics indicating the user is likely to find value in the recommendation.

9684644

13341131

1. A method for managing annotations associated with a video, the method comprising: receiving from viewers of a video, a plurality of annotations for each of a plurality of intervals of the video, each interval having a start time and an end time, a content of each annotation of a plurality of the annotations including a plurality of words; forming a plurality of annotation groups by clustering the annotations based on the start times and the end times of the intervals; determining a first annotation group of the plurality of annotations groups having related annotations based at least in part on a comparison of the content of each annotation to determine that the related annotations have at least one identical or similar word; forming a first annotated clip of the video based upon the intervals in the first annotation group; and forming a synoptic annotation for the first annotated clip of the video based on the related annotations in the first annotation group, the synoptic annotation comprising one or more words selected from the related annotations in the first annotation group, the one or more words summarizing the content of the related annotations in the first annotation group.

10037433

14932684

1. A method comprising: (a) obtaining one or more first documents by a system comprising a non-transitory computer readable medium with instructions, and comprising one or more processors executing the instructions, wherein each first document comprises one or more first sentences each of which comprises one or more first words, and at least one first document comprises a plurality of first sentences at least one of which comprises a plurality of first words; (b) determining dictionary data by the system, wherein determining the dictionary data comprises determining by the system, using each first document, a word-level encryption and a sentence-level encryption based on an encryption key generated by the system, wherein: determining the sentence-level encryption comprises determining a plurality of encrypted sentences each of which is an encryption of a corresponding one of the first sentences, each first sentence corresponding to an encrypted sentence; and determining the word-level encryption comprises determining a plurality of encrypted words each of which is an encryption of a corresponding one of the first words, each first word corresponding to an encrypted word; wherein the dictionary data comprises the encrypted words and the encrypted sentences; (c) storing the dictionary data in one or more storage networks; (d) determining index data by the system, and storing the index data in the one or more storage networks, wherein the index data comprises encrypted word frequencies and encrypted word position identifiers based on the encrypted words; (e) determining, by the system, an encryption of search terms received by the system based on the encryption key; and (f) identifying, by the system, one or more of the first documents in the one or more storage networks based on a search performed with the encrypted search terms and at least one of the encrypted word frequencies and the encrypted word position identifiers.

20090219183

12394132

1. An arithmetic decoding apparatus that decodes encoded data while updating a first state variable and a second state variable based on a first context variable and a second context variable, the first state variable being a basis for the decoding, the second state variable being an object to be decoded, the first context variable representing a probability state, the second context variable representing a most probable symbol, the arithmetic decoding apparatus comprising: a decoding information table that stores transitions of a range of the most probable symbol and a range of a least probable symbol within a range identified by the first context variable, and a number of a symbol for which the range of the most probable symbol becomes less than a specific value, the decoding information table being referred to based on the first state variable and the first context variable; number-of-symbols determination means for determining the number of symbols in the encoded data that are to be decoded collectively, based on the transitions of the range of the most probable symbol and the range of the least probable symbol, the number of the symbol for which the range of the most probable symbol becomes less than the specific value, and the second state variable; and output means for decoding a symbol corresponding to the number of symbols that are to be decoded collectively, based on the second context variable, and outputting the decoded symbol.

20100228760

12399843

1. A computer system comprising: a computer processor; and logic instructions on tangible computer readable media and executable by the computer processor to cause the computer processor to: instantiate a collaborative correlated query process (CQP) template, the collaborative CQP template defining roles and steps, each step being executable by one of the roles, the processor being assigned a designated role; receive a correlated query configured in accordance to the collaborative CQP template; execute a step executable by the designated role; and communicate a message to indicate completion of the step.

20080228465

11433404

1. A translation apparatus for translating article information in a first language including an article body and a related headline into a second language, comprising: a decision unit configured to discriminately identify the article body and the headline; a phrase alignment processing unit configured to respectively extract a noun phrase from the headline and a noun phrase candidate from a head sentence of the article body, to count coincident words between the noun phrase and the noun phrase candidate, and to output the noun phrase and the noun phrase candidate as a phrase alignment result if a coincidence ratio based on the counted value is above a threshold; and a translation unit configured to translate the article body and the headline into the second language based on the phrase alignment result.

9576263

14032172

1. A method for facilitating generating a report, the method executed at least in part by a processor coupled to a user input device and to a display screen, the method comprising: launching a visual information builder software application in response to a call received from a business process software application processing a business task selected by a user; determining with respect to a state of the business process software application associated with the launching of the visual information builder software application context information associated with the business task and the user; using the context information to display a decision tree on the display screen; using the context information to determine a starting point of the decision tree and user options specific to the business task; determining data attributes characterizing underlying data associated with the business task; filtering the data attributes based on the context information to form a set of filtered data attributes; and determining from the set of filtered data attributes and the context information a set of visualizations types relevant to the user.

20050216516

11126184

1. A method for selectively relating a first dataset to a second dataset, the method comprising the steps of: accessing a semantic representation associated with the first dataset and a semantic representation associated with the second dataset, wherein at least one of the semantic representation associated with the first dataset and the semantic representation associated with the second dataset is a trainable semantic vector generated based on at least one data point included in a respective dataset and known relationships between predetermined data points and predetermined categories; determining a similarity between the semantic representation associated with the first dataset and the semantic representation associated with the second dataset; and selectively relating the first dataset to the second dataset based on a result of the determining step.

20140098094

13833078

1. A method for three-dimensional point processing and model generation, comprising: (a) providing data comprising a scan of a scene comprising a point cloud, the point cloud comprising a plurality of points; (b) applying a primitive extraction to the data to associate primitive shapes with points within the point cloud; (c) applying a part matching to the data to associate points within the point cloud with one or more part models; and (d) assembling the primitive shapes and the part models into a 3D surface model of the scene.

8760498

13176088

1. A method for processing disparity data for closed captions for three dimensional video, comprising: receiving closed caption data including closed caption text within a first Standard service block associated with a first Standard caption service having a service number in the range of 1-6; receiving closed caption disparity data within a second Standard service block associated with a second Standard caption service having a service number equal to 6; parsing, by circuitry of a reception apparatus, the disparity data from the second Standard caption service having the service number 6, the disparity data including a linkage field which associates said disparity data with the first Standard caption service; processing, by the circuitry of the reception apparatus, the caption text and the disparity data to produce an output suitable for defining a three dimensional television display of the caption text at a z-axis position based on the disparity data; where the disparity data are carried in a CEA-708 compliant variable length command; and displaying the closed caption text as a stereoscopic image.

8924398

13070388

1. An automatic database command method, comprising: obtaining a plurality of relevant database log entries, the relevant database log entries being directed to database catalog entities; determining a first portion of the plurality of relevant database log entries are part of a common unit of recovery, the first portion including a plurality of database log entries; assigning the first portion of database log entries to a particular Data Definition Language (DDL) command object based on analysis of attributes of a first entry in the first portion of the database log entries, the particular DDL command object including a timestamp, an action, a target, and data from each of the first portion of database log entries; determining a DDL command object break when an action or target of a next database log entry in the first portion is inconsistent with the particular DDL command object; storing the particular DDL command object in a memory in response to determining the DDL command object break; receiving an indication of an operation type subsequent to the storing, the operation type being an UNDO or a MIGRATE operation type; ordering the entries in the particular DDL command object in an order based on the type of operation, the targets, and the actions; and generating at least one database command based on the operation type, the action, target, and data in each of the ordered entries in the particular DDL command object.

20140358973

14295317

1. A multiple citation corpus data structure stored in a computer memory for a user specified word or phrase comprising an entry for every occurrence of the user specified word or phrase, each entry comprising: a) prior context, b) the user specified word or phrase, c) subsequent context, and d) one or more internal citations, wherein each internal citation identifies a document and the location inside the document where the entry is found in a plurality of formatted documents.

7882484

12053407

1. A method of creating a design-specific input/output (I/O) model document, the method comprising: reading a plurality of I/O pin models corresponding to available I/O pin profiles on a target device; identifying I/O pins of the target device that are used by a circuit design; determining an I/O pin profile for each I/O pin of the target device that is used by the circuit design; selecting an I/O pin model from the plurality of I/O pin models for each I/O pin of the target device that is used by the circuit design according to the I/O pin profiles; generating, by a processor, the design-specific I/O model document for the circuit design by including each selected I/O pin model within the design-specific I/O model document; reading generic package parasitic information specifying package parasitic information for the target device; and including package parasitic information, selected from the generic package parasitic information, for each selected I/O pin model within a design-specific package parasitic document.

5566333

07972230

1. An information management system, comprising: at least one computer; a relational database stored in a memory that is accessible to said computer, said relational database comprising a relational database kernel, a plurality of information entities, each said information entity being comprised by a respective one of a plurality of entity tables, and a linker table for holding a plurality of many-to-many relationships among said information entities; computer-implemented entity relation management program means, for manipulating data in said linker table to dynamically define many-to-many relationships among said information entities, such that many-to-many relationships in the relational database can be created and modified by a user to manage the relational database without structurally changing the relational database by one of creating and deleting tables thereof; and computer-implemented report generating program means, cooperating with said relational database kernel, for producing a coherent report that is informative of said relational database.

20070179847

11419865

1. A computer-implemented system coupled to the Internet, the system facilitates market segmentation among search engines, comprising: a segmentation component, comprising: a configuration component that displays a plurality of search engines that can be employed in connection with a plurality of search types; and a routing component that receives a query and determines a query type from among the plurality of search types.

7580960

10784868

1. A machine implemented method for synchronizing content in different languages, comprising the steps of: accessing from a web server, via a publicly available network path, content in a first language, including content retrieved by crawling a web site hosted on the web server via following links to additional pages; dividing the content into one or more translatable components; identifying translated components generated previously by translating previous content in the first language to previous content in a second language; determining whether each of the translatable components in the first language has a corresponding one of the translated components associated with the previous content in the second language; translating at least a portion of at least one translatable component in the first language that does not have a corresponding translated component in the second language from the first language to the second language; and generating an updated content in the second language based on the translated at least a portion of the at least one translatable component, wherein the updated content in the second language is synchronized with the accessed content in the first language, and the steps of translating and generating are performed independent of the web server.

5555363

08130602

1. A method for setting the case of a selected textual object displayed on a display screen of a pen-based computer system, the method comprising the steps of: receiving a stroke input on the display screen; determining whether the stroke is a case setting gesture that is formed from a single substantially vertical line that intersects the selected textual object, and does not include a significant horizontal component; and setting the case of at least one character in the intersected selected textual object based upon the direction that the case setting gesture is drawn and the location at which the gesture is drawn relative to the intersected selected textual object when the stroke is determined to be a case setting gesture.

20020172925

10131613

1. A computer assisted learning system comprising: a contents server to control voice data and text data of conversation in specific language and a storage server to communicate with a portable terminal through a network; and a terminal device to communicate with the storage server through the network; wherein the storage server includes: an information storage unit to store information; voice data downloading means for downloading voice data of conversation in specific language in the information storage unit from the contents server according to a direction from the portable terminal; voice data sending means for reading the downloaded voice data from the information storage unit and sending to the portable terminal; text data downloading means for downloading a text data of conversation in specific language from the contents server in the information storage unit when it is requested by the terminal device to obtain a specific language conversation text; text data sending means for reading the downloaded text data from the information storage unit and sending to the terminal device; wherein the terminal device includes: requesting means for making the request to obtain a text of conversation in specific language to the storage server; and printing and outputting means for printing and outputting text data when text data of conversation in specific language is received from the storage server.

20110078563

12569041

1. A method comprising: receiving, from an input component of a portable device that includes a virtual keyboard, a location on the portable device selected by a user and an input character corresponding to the location; forming, by the portable device, a plurality of prefixes including a prefix formed based on the input character and prefixes formed based on characters in proximity to the input character; determining, by the portable device, a distance factor for each of the plurality of prefixes, the distance factors being based on a distance between the location on the portable device selected by the user and characters on the virtual keyboard in proximity to the location; generating, by the portable device, candidate words from the plurality of prefixes; determining a rank value associated with each of the candidate words, the rank values being determined based on the distance factors; and displaying, by the portable device to the user of the portable device, a subset of the generated candidate words, where the subset is determined based on the rank values associated with the candidate words.

20030154444

10219614

1. A method comprising generating an automaton for validating an XML document, including: a first step of reading a document type definition of the XML Document; a second step of generating a binary tree automaton from said document type definition; and a third step of determining and further minimizing said binary tree automaton, and generating a minimum deterministic binary tree automaton.

20090299824

12476910

1. A system for providing ratings related to a plurality of websites, comprising: a first program code comprising a computer usable medium having a computer readable program code embodied therein, said computer readable program code adapted to execute as a browser toolbar in a browser on an end user computing device and executable to implement a method comprising: retrieving an identifier (ID) from the end user computing device; transmitting a request to a remote computer system for a rating value in response to a web page being loaded into the browser executing on the end user computing device; wherein the request includes the ID and a Uniform Resource Locator (URL) of the web page loaded in the browser executing on the end user computing device; receiving a rating value from the remote computer system; displaying the rating value in the toolbar; receiving a first user rating from the remote computer system; displaying the first user rating in the toolbar; receiving a user input comprising a second user rating from the end user; transmitting the second user rating to the remote computer system; and displaying the second user rating in the toolbar.

20020116176

09991079

1. A system enabling a user to ask a question (query) and for providing the user with one or more answers or solutions to such question, the system comprising user apparatus for generating first signals representative of a natural language user query that includes at least a query elements(A-O), (S-A), or (S-X-O), or element(S), a server for storing a knowledge base of a plurality of S-A-O's and for identifying at least one knowledge base element S, O, or A, or elements (A-O) associated with a respective knowledge base S-A-O that includes the query elements or element in response to the server receiving the first signals, and generating second signals representative of the natural language answer S-A-O that includes the identified element or elements and the query elements or element, the user apparatus generating a natural language audio response or visual display to the user of the natural language answers S-A-O in response to receiving the second signals, and means for transmitting the first signals from the user apparatus to the server and for transmitting the second signals from the server to the user apparatus.

10008204

15311920

1. An information processing system comprising: an information processing apparatus; and a vehicle-mounted device that is mounted in a vehicle, wherein the vehicle-mounted device includes: a microphone that picks up a speech sound, and a transmitter that transmits speech data that is generated based on the speech sound that is picked up by the microphone to the information processing apparatus; and the information processing apparatus includes: a memory which stores pictogram correspondence information in which keywords and pictogram information indicating a plurality of pictograms which correspond to the keyword are associated, and a CPU that executes pictogram selection processing which selects the keyword corresponding to text representing a speech sound that is generated by speech recognition based on the speech data from among the keywords which the pictogram correspondence information includes, and in accordance with a predetermined condition, selects one item of the pictogram information from among a plurality of items of the pictogram information that are associated with the keyword that is selected, the CPU of the information processing apparatus determines whether or not the vehicle in which the vehicle-mounted device that is a sending source of the speech data is mounted is traveling, and if the vehicle is traveling, the CPU of the information processing executes the pictogram selection processing, and if the vehicle is not traveling, the CPU of the information processing communicates with the vehicle-mounted device to cause the vehicle-mounted device to execute processing that causes a user to select one of the pictograms from among the pictograms corresponding to a plurality of items of the pictogram information associated with the keyword that is selected, and selects one item of the pictogram information that corresponds to the one pictogram that is selected by the user.

9058751

13301668

1. A computer-based language phoneme practice system comprising: (a) a digital processing device comprising an operating system configured to perform executable instructions; and (b) a computer program, provided to the digital processing device, including executable instructions that create a language phoneme practice engine, the engine comprising: i. a taxonomy of phonemes of a target language, the taxonomy an ordered organization of phonemes to facilitate a sequence of learning; ii. a software module for providing an interface for practicing each phoneme in the taxonomy in isolation from any word, the interface simultaneously providing a selection element for each phoneme in the taxonomy, the selection elements presented according to the ordered organization of the taxonomy, wherein the interface allows a learner to interact with each selection element to select a phoneme, the interface further providing a practice element, wherein the interface allows the learner to interact with the practice element to access a visual representation and an auditory representation of the selected phoneme; and iii. a software module for providing an interface for practicing each phoneme in the context of the beginning, middle, and end of words of the target language, the interface providing a plurality of words beginning with the selected phoneme, a plurality of words with the selected phoneme in their middle, and a plurality of words ending with the selected phoneme, wherein the interface allows the learner to access a visual and auditory representation of each word, wherein each word is depicted as a composition of phonemes, wherein each phoneme in each word is interactive and allows the learner to access a visual and an auditory representation of each phoneme in each word.

9898547

14448610

1. A method comprising: rendering a web page for display on a client device, wherein the rendered web page is based on a first document; determining that a first scroll position of the rendered web page has changed from below a first threshold scroll position to above the first threshold scroll position; in response to determining that the first scroll position has changed from below the first threshold scroll position to above the first threshold scroll position, requesting and receiving a second document from a server device, wherein the second document was previously displayed on the web page above the first document; re-rendering the web page for display on the client device, wherein the re-rendered web page includes content from the second document above content from the first document; determining that a second scroll position of the re-rendered web page is above a second threshold scroll position; responsive to determining that the second scroll position of the re-rendered web page is above the second threshold scroll position, further re-rendering the web page for display on the client device, wherein the further re-rendered web page includes content from the second document but not from the first document; and removing a representation of the first document from memory associated with an application displaying the web page on the client device.

8041697

12201066

1. A method for generating a translation rule to support natural language search, comprising: receiving a first expression and a second expression; generating a first representation based on the first expression; generating a second representation based on the second expression; determining aligned pairs of a first term in the first representation and a second term in the second representation; replacing, for each aligned pair, the first term in the first representation and the second term in the second representation with a variable associated the aligned pair; upon replacing the variables that correspond to the aligned pairs with the variable, removing word facts from the first representation and the second representation that occur in both the first representation and the second representation; upon removing the word facts that correspond to the replaced variables, replacing the remaining word facts in the first representation with a broader representation of the word facts; and upon replacing the remaining word facts in the first representation with the broader representation, generating the translation rule including the first representation, an operator, and the second semantic representation.

8392441

12856537

1. A system comprising: one or more processors; and a computer-readable storage device storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: receiving a query submitted by a user to a search engine, wherein the query includes a first compound term; and in response to receiving the query, performing the following operations: generating one or more splits of the first compound term, wherein each split divides the compound term into two or more subterms, wherein at least one subterm is a term in a dictionary that associates terms with scores derived from a respective frequency of use of the subterm; assigning a score to one or more subterms of each split that are in the dictionary, wherein the score for a subterm is the score stored in the dictionary for the subterm; determining an overall score for each split from the scores for the subterms of the split; selecting a first split from the one or more splits according to the overall score for each split; and augmenting the query with a first synonym phrase, wherein the first synonym phrase is a synonym of a first subterm of the first split.

20020118124

10083099

1. A method for compression of characters, comprising: (a) selecting a mathematical representation for a plurality of characters based on a desired compression of the characters, wherein the mathematical representation is selected from a group including rational functions and polynomials; (b) representing the characters using the selected mathematical representation; and (c) compressing the mathematical representation of the characters.

7805635

11697782

1. A system for performing event analysis, the system comprising: an input operable to receive: a set of system properties with attributes and values; and a set of logical expressions representing a set of system test goals, wherein the set of logical expressions comprises at least one preference expression that defines at least one of testing knowledge, testing experience, and testing beliefs, wherein the input is further operable to receive at least one bias value and at least one preference value; a processor operable to define a hierarchical tree structure with a plurality of nodes where each node represents one of the system properties and includes at least one of the attributes and the values, wherein the processor is further operable to: associate the at least one bias value with the at least one preference expression; and associate the at least one priority value to the at least one preference expression; and an output operable to output a set of system test data utilizing the hierarchical tree structure combined with the set of logical expressions.

20100318620

12485470

1. A method of monitoring messages in a communications network to avoid the sending of a message to an unintended recipient, the method comprising: receiving a first entry in a first instant messaging (IM) window on a communication device, identifying first keywords associated with the first entry, and storing the first keywords; receiving a second entry in the first IM window, identifying second keywords in the second entry, and storing the second keywords; determining via a keyword match and warning module (KMWM) whether the first keywords meet a first predetermined comparison threshold when compared to the second keywords; and issuing a warning via the KMWM in response to determining that the first comparison threshold is not met.

20070100630

11565992

1. A speech synthesis system comprising a speech recognizer configured to recognize a speech signal; a sound signal acquirer configured to acquire a sound signal; a first spectrum acquirer configured to acquire a spectrum of the acquired sound signal as a first spectrum; a second spectrum generator configured to generate a reconfigured spectrum of the sound signal, based on the speech signal recognized by the speech recognizer, as a second spectrum; a modified spectrum generator configured to generate a modified spectrum in accordance with the first spectrum and the second spectrum; and an outputter configured to output a synthesized speech signal based on the modified spectrum.

8874427

13175783

1. A method for determining an in context exact (ICE) match from context matching levels of a plurality of translation memory source texts stored in a translation memory to a lookup segment to be translated, the method comprising: assigning a usage context hash code to the lookup segment and an asset hash code to the lookup segment; determining any exact matches for the lookup segment and the plurality of translation memory source texts; calculating for each exact match a context matching level based on: a match between the usage context hash code for the lookup segment and a usage context hash code assigned to a segment of a translation memory source text, and a match between the asset hash code for the lookup segment and an asset context hash assigned to the segment of the translation memory source text; and determining, for each exact match if the segment of the translation memory source text providing the exact match is an ICE match for the lookup segment based on the calculated context matching level.

20120072391

12888128

1. An automatic information integration flow optimizer apparatus comprising: an input/output port configured to connect the information integration flow optimizer to extract-transform-load (ETL) tools, and to receive a tool-specific input file; a parser unit configured to parse the tool-specific input file into semantics, and to create a tool-agnostic input file containing rich semantics of at least one of datasets, implementations, schema, operators, database management systems, or ETL tools; a converter unit configured to transform the tool-agnostic input file into an input directed acyclic graph (DAG); and a quality objective (QoX) driven optimizer unit configured to apply one or more heuristic algorithms to the tool-agnostic input DAG to develop an optimum information integration flow design based on the rich semantics.

9928227

14831536

1. A computer program product configured to pre-fill a computing device form, the computer program product comprising: a computer-readable storage medium; and computer-readable program code embodied on the computer-readable storage medium, wherein the computer-readable program code, when executed by a form filling system that includes a processor and a memory coupled to the processor, causes the form filling system to: receive a message; analyze content of the message utilizing natural language processing (NLP) to locate an action command within the message; apply NLP to text associated with the action command to determine a context of the action command; select multiple candidate forms based on the multiple candidate forms being preconfigured to allow completion of the action command; apply a similarity algorithm to the text associated with the action command and one or more input fields of the multiple candidate forms to identify one or more matching elements between the text and the input fields of the forms; select a form, from among the multiple candidate forms, based on which of the multiple candidate forms has a greatest number of the matching elements between the text and the input fields of the form; and automatically pre-fill the input fields of the form with information associated with the matching elements in the message whose similarity exceeds a predetermined threshold without user interaction to minimize copy errors and reduce task execution time associated with filling in the form.

20160240195

14752229

1. An information processing method, applicable to an electronic device, wherein the electronic device comprises a voice input and output unit, and the method comprises: detecting to obtain voice information; obtaining at least one voice feature in the voice information by identifying the voice information; generating a voice operation instruction based on the voice information; determining a presentation outcome of multimedia data based on the at least one voice feature and the voice operation instruction, wherein the presentation outcome comprises a content to be presented for the multimedia data and a presenting form for the content to be presented, and the presentation outcome matches the voice feature; and presenting the multimedia data based on the presentation outcome.

9043366

12895906

1. A method for implementing a map editor for business analysts, the method comprising: receiving a business object model comprising at least one business object; transforming the business object model into an extensible markup language (XML) schema definition-based (XSD-based) model comprising at least one XML schema; feeding the XSD-based model into an XML mapping infrastructure for model map processing, where the model map processing comprises building at least one model synchronization map table that facilitates navigation between elements of the business object model and corresponding elements of the XSD-based model; displaying the business object model and the XSD-based model in a dual-view editor, the dual-view editor enabling a user to toggle between and independently edit the business object model and the XSD-based model; automatically synchronizing, using the at least one model synchronization map table, the elements of the business object model with the corresponding elements of the XSD-based model based upon independent edits made to the XSD-based model and the business object model within the dual-view editor; storing the at least one XML schema in a cache; and looking for the at least one XML schema in the cache prior to transforming the business object model.

20130195422

13364102

1. A method, comprising: receiving a search query that includes one or more attributes; evaluating a plurality of video files; identifying video clips within the video files that have one or more of the search attributes; and creating a video report comprising a contiguous sequence of the video clips, wherein the video clips are stitched together according to a stitch criterion.

20150046154

14491210

1. A computer-implemented method for Chinese name matching, comprising: receiving, by a processor, a Chinese name; romanizing, by the processor, the received Chinese name into a Mandarin Pinyin representation; matching, by the processor, the Mandarin Pinyin representation of the Chinese name against a set of Romanized Chinese names, wherein the Romanized Chinese names originate from a plurality of different Chinese character names; in response to finding a potential match between the Mandarin Pinyin representation and a Romanized Chinese name, retrieving, by the processor, the original Chinese script for the Romanized Chinese name; and applying, by the processor, a native script comparison between the received Chinese name and the original Chinese script for the Romanized Chinese name as a filter to reduce false positives that are generated in the matching of the Mandarin Pinyin representation of the Chinese name against the set of Romanized Chinese names.

20140372475

14470441

1. A computer-implemented method of searching documents within a collection comprising: partitioning the collection into a plurality of document segments based on a range of values for a document attribute, wherein each document segment is associated with a different value range for the document attribute and includes documents each with a value for the document attribute within the associated value range; determining one or more document segments to search based on one or more search criteria within a search request pertaining to the document attribute; and searching the determined one or more document segments for information satisfying the search request.

20020080196

09241255

1. A document summary display system comprising: a document containing one or more separate sentences; a relevance ranking means for ranking the relevance of the one or more separate sentences of the document; a display means for displaying a summary of the document within a computer system user interface listing containing a displayed reference to the document wherein the summary of the document is based upon the relevance ranking of the one or more sentences.

8627276

13335546

1. A method comprising: identifying a plurality of entities having relationships there between, the identifying being performed by a processor; accessing a first entity from the plurality of entities, the accessing the first entity being performed by the processor; accessing a second entity from the plurality of entities, the accessing the second entity being performed by the processor; mapping the first entity to the second entity, mapping the first entity to the second entity including bi-directionally mapping the first entity the second entity, and the mapping being performed by the processor; determining, based on the mapping, if a graphical affordance, associated with at least one of an intermediate representation of a graphical model or code associated with the graphical model, is selected, the determining being performed by the processor; and selectively identifying, based on the determining, one or more portions of the graphical model or one or more portions of the at least one of the intermediate representation of the graphical model or the code associated with the graphical model, when identifying the one or more portions of the graphical model, the method includes: receiving information associated with browsing the at least one of the intermediate representation of the graphical model or the code associated with the graphical model; and identifying the one or more portions of the graphical model based on the received information associated with browsing the at least one of the intermediate representation of the graphical model or the code associated with the graphical model, when identifying the one or more portions of the at least one of the intermediate representation of the graphical model or the code associated with the graphical model, the method includes: receiving information associated with selecting the graphical affordance of the graphical model; and identifying the one or more portions of the at least one of the intermediate representation of the graphical model or the code associated with the graphical model based on the received information associated with selecting the graphical affordance of the graphical model, and the selectively identifying being performed by the processor.

7849093

11250864

1. A system that facilitates searching data, comprising: at least one processor that executes the following computer executable components stored on a computer readable medium: a parser component that parses content in a web page received from a web crawler during a media search operation that is conducted in response to receiving a search request from a first user to produce structure data associated with the web page; a gallery classifier that determines a number of pieces of media content in the web page based at least in part on the structure data, wherein the pieces of media content include at least one image; a content analyzer that analyzes the at least one image to determine whether the at least one image includes one or more faces, wherein the gallery classifier analyzes at least the structure data associated with the web page and identifies the web page as a potential gallery page during a search operation, the identification of the web page as a potential gallery page being based at least in part on page characteristics, the page characteristics comprising structure of the web page as represented by the associated structure data and the results of analyzing the at least one image, wherein the gallery classifier determines that the web page contains at least a predetermined number of media items, as indicated by the associated structure data, based at least in part on predetermined gallery page criteria, the media items comprising at least one image and at least one of audio content, video content, image content, multimedia content, or one or more links to at least one of audio content, video content, image content, or multimedia content; a presentation component that presents the web page to the first user as a search result; a confirmation component that monitors the first user's interaction with the pieces of media content in the web page and provides information about the first user's interaction to the gallery classifier, wherein the gallery classifier determines whether the first user's interaction is sufficiently substantial based on a predetermined interaction value to warrant classifying the web page as a gallery page, and wherein the gallery classifier processes, in response to determining that the first user's interaction is sufficiently substantial to warrant classifying the web page as a gallery page, the first user's interaction as confirmation that the web page is a gallery page, wherein the web page is classified as a non-gallery page if the first user's interaction is not sufficiently substantial, wherein the gallery classifier tags the web page as a gallery page for results ranking and processing; a machine learning and reasoning component that employs at least one of a probabilistic or a statistical-based analysis to prognose or infer an action to be automatically performed, wherein said action includes classifying the web page as a gallery page; and an index builder that builds an index of gallery pages, wherein the index of gallery pages includes a classification of the web page as a gallery page; and a ranking component that ranks the indexed gallery pages, wherein the parser component receives a search request from a second user and, in response, the presentation component presents the ranked indexed gallery pages to the second user via a gallery user interface that includes a Galleries section in which groupings of media content are presented as graphical icons, wherein selection of a graphical icon causes presentation of a group of media content files in another section of the gallery user interface.

8713676

13107201

1. A computer-implemented method of determining that a newly-registered domain is potentially malicious, the method comprising: determining, by a processor, a number of unique name servers that sent a query for the newly-registered domain during a period of time; determining, by the processor, that the number of unique servers exceeds a predetermined threshold of servers; identifying the newly-registered domain as one of malicious and potentially malicious when it is determined that the number of unique name servers exceeds the predetermined threshold of servers; in response to determining that the number of unique name servers exceeds the predetermined threshold of servers, determining a confidence level based on an amount by which the number of unique name servers exceeds the predetermined threshold of servers; and automatically adding the newly-registered domain to a blacklist when the confidence level is high.

20150106096

14054763

1. A computer-implemented method comprising: detecting a provisioning trigger event; determining a state of a journey associated with a user based on the provisioning trigger event; determining one or more interest places based on the state of the journey; populating a place vocabulary associated with the user using the one or more interest places; filtering the place vocabulary based on one or more place filtering parameters; and registering the filtered place vocabulary for the user.

20160171057

15052528

1. A method of non-exclusionary searching, the method comprising: generating, by a first server, a first query based on a second query, wherein the second query is received from a client, wherein the second query comprises a first parameter and a second parameter; sending, by the first server, the first query to a second server; querying, by the second server, an in-memory database hosted on a third server, wherein the in-memory database stores a first collection and a second collection, wherein the first collection comprises a first plurality of records according to a first schema, wherein the second collection comprises a second plurality of records according to a second schema; receiving, by the second server, a result based on the querying, wherein the result comprises a first record from the first records based on the first parameter and a second record from the second records based on the second parameter; sending, by the second server, the result to the first server; sending, by the first server, the result to the client.

20130018865

13182615

1. A method, performed by at least one computer, comprising acts of: (A) receiving a query from a device and location data indicating a location of the device, the location data having a level of specificity; (B) in response to the query being received, identifying at least one first search engine to which to submit a representation of the query; (C) determining whether the level of specificity of the location data received in (A) is sufficient for the at least one first search engine; (D) if the level of specificity of the location data is sufficient, instructing the to device to issue the representation of the query to the at least one first search engine; and (E) if the level of specificity of the location data is not sufficient, instructing the device to send, to the at least one computer, location data at a greater level of specificity.

20110137635

12633748

1. A method of transliterating text, the method comprising: receiving a Romanized input text of a natural language that comprises a native character set that includes diacritics; selecting at least one candidate transliteration rule; applying each selected candidate transliteration rule to the Romanized input text to transliterate the Romanized input text into at least one corresponding candidate diacritized text in the native character set of the natural language; computing a confidence score for each candidate diacritized text; ranking each candidate diacritized text based at least on the computed accuracy scores; and outputting at least one candidate diacritized text based at least on the ranking.

20090267811

12108088

1. A method including the steps of: producing a first N-bit code word by encoding (N-y)−1 data bits and y flag bits into first m n-bit patterns; producing a second N-bit code word by encoding the (N-y)−1 data bits and the y flag bits into second m n-bit patterns in which corresponding first and second n-bit patterns combine to meet a first predetermined running digital sum threshold; selecting the code word that satisfies selection criteria.

20030215066

10150890

1. A method of automatic call handling allowing agent optimization in an automatic call distribution system, the method comprising: synthesizing speech using a prepared script as input to generate synthesized speech; connecting a call with a call contact; speaking to the call contact using speech synthesized using the prepared script; receiving live agent voice input; making an extemporaneous script using automated agent speech recognition to recognize the live agent voice input; and generating synthesized speech for transmission to the call contact using the extemporaneous script. The method of automatic call handling allowing agent optimization according to claim 1 wherein the speech synthesizing is a performed using text-to-speech synthesize.

20130159460

13711533

1. A computer implemented method, comprising: collecting audience data from a plurality of remote data sources; determining an engagement level based on one or more characteristics associated with the audience data; generating content based on the engagement level; and sending at least a portion of the content to one or more of the plurality of data sources.

9547423

14513978

1. A method comprising: storing in a memory an executable graphical model including a plurality of components including hierarchically arranged child components disposed within parent components, the child components configured to send and receive messages during execution of the graphical model in an order, the messages persist for determined time intervals between a model execution start time and a model execution end time, and have payloads that remain fixed for a given send-receive interaction; identifying, by a processor coupled to the memory: the child components configured to send and receive messages, and the determined time intervals of the messages; automatically generating, by the processor, a message view window for the graphical model, the message view window including: an execution time scale corresponding to a time of execution of the graphical model, parent lifelines corresponding to the parent components, the parent lifelines extending across the execution time scale, and a plurality of first graphical affordances associated with the parent lifelines, the plurality of first graphical affordances representing the messages, the plurality of first graphical affordances arranged in the order of the messages; and expanding a given parent lifeline corresponding to a given parent component of the executable graphical model to show child lifelines corresponding to at least two of the child components of the given parent component.

20050237342

11166924

1. A system having a display device, the display device having a plurality of pixels each having a plurality of pixel sub-components of different colors, the system further comprising a processor for processing computer-executable instructions stored on one or more computer-readable media of the system and that are configured for implementing a method of adjusting image data to a grid defined by the pixels and pixel sub-components in preparation for rasterizing an image on the display device, the method comprising: obtaining image data having selected elements with positions relative to the grid, the positions of at least one of the selected elements of the obtained image data not coinciding with a boundary between pixel sub-components; hinting the image data such that a typographical feature defined by one or more of the selected elements is adjusted to a position on the grid that corresponds to a selected boundary between pixel sub-components, the selected boundary being designated as a high contrast boundary due to the color contrast of the sub-pixel components which define the boundary, and which may comprise a boundary other than one which is between pixels; and displaying the image on the display device using the image data, the typographical feature being displayed at the high contrast boundary.

9836778

15355411

1. A computer system comprising: a processor; a memory device holding an instruction set executable on the processor to cause the computer system to perform operations comprising: a scan event handler, implemented by one or more processors, configured to build a scan event model from historical product scan messages previously received from a plurality of mobile scanning devices associated with a plurality of users, each of the historical product scan messages having a product association and a scan location association; and a recommendation engine, implemented by the one or more processors, configured to: receive a query from a specific mobile scanning device associated with a specific user, the query including a product identifier; identify a subset of the historical scan messages, wherein each historical scan message in the subset is associated with a product definition that matches the received product identifier; and generate a recommendation for the specific user based on a merchant identified by a plurality of different retail locations represented in the subset of historical scan messages.

9690758

13303499

1. A method for supporting an electronic book (e-book) application service, the method comprising: reproducing the e-book stored in a memory; creating, when a number of words related to place names are selected in the e-book, e-book auxiliary content that includes information regarding a map to which information regarding routes between place locations corresponding to the selected words is applied, with respect to at least one page containing the selected words; and storing the e-book with the created e-book auxiliary content in the memory, wherein in response, when a user selects a predetermined item in a content items displaying area of a screen where the e-book auxiliary content is reproduced, at least one processor displays on a detailed map information area, information regarding routes including development of a story flow from pages included in previous items to a corresponding page.

8447852

13629596

1. A system for brand management using social networks comprising: an application server computer connected to a data network and comprising at least a message handling software module acting as a message bus; a plurality of social network crawler software modules operating on a server computer connected to the data network; a plurality of third party service integration software modules operating on a server computer connected to the data network; an analytics server software module operating on a server computer connected to the data network; a report generator software module operating on a server computer connected to the data network; a search engine software module operating on a server computer connected to the data network; a behavioral analysis engine software module operating on a server computer connected to the data network; a recommendation engine operating on a server computer connected to the data network; and a database connected to the data network; wherein a user registers with the application server and provides a plurality of data elements pertaining to a brand associated with the user, and the user provides credentials enabling the plurality of social network crawlers to retrieve data relevant to the brand from a plurality of social networks using the credentials; wherein, upon initially and periodically retrieving content from a plurality of social networks pertaining to the brand, the analytics server module analyzes the content pertaining to the brand to determine a plurality of indicia of content value specific to the brand among members of the plurality of social networks; wherein the behavioral analysis engine obtains a plurality of content elements generated by a first member of one or more social networks and analyzes the first member's social behavior in order to compute an indicia of an audience value of the first member; and wherein the report generator prepares and makes available to the user a plurality of reports specific to the brand, the reports comprising at least the indicia of content value, the indicia of audience value, and at least one recommendation from the recommendation engine to assist the user in improving perception of or engagement with the brand by the plurality of members.

9922032

14558224

1. A method comprising: crawling, via an entity extraction computer, a corpus of a plurality of electronic documents; extracting, via the entity extraction computer, a plurality of features from each of the crawled electronic documents in the corpus; aggregating, via a knowledge base aggregator computer, instances of co-occurrence of two or more of the plurality of features across the crawled electronic documents to determine a count of the instances of co-occurrence across the plurality of electronic documents, wherein the count of the instances of co-occurrence of two or more features are determined by adding up number of co-occurrences of the two or more features co-occurred in each of the plurality of electronic documents, wherein the knowledge base aggregator computer includes a main memory hosting a feature co-occurrence in-memory database, wherein the entity extraction computer is distinct from the knowledge base aggregator computer, wherein the feature co-occurrence in-memory database comprises one or more entries of the plurality of features, wherein each entry of the one or more entries contains semantically-related features of the plurality of features, and wherein the co-occurrence is an instance of a feature of the plurality of features identified by an entry of the one or more entries in the corpus of the electronic documents in the co-occurrence database, and wherein the co-occurrence corresponds to determination of related entities upon the occurrence of the two or more of the plurality of features that are related to each other across the crawled electronic documents in no defined order; and adding, via the knowledge base aggregator computer, the instances of the co-occurrence of the two or more features to the feature co-occurrence database based on the count of the instances of co-occurrence across the plurality of electronic documents exceeding a predetermined threshold.

8656426

13138984

1. An end-user rendering system in an environment comprising a broadcast Headend and a plurality of other end-user rendering systems, the broadcast Headend being operative to globally optimize a tree-type decision model and send the globally optimized tree-type decision model to the end-user rendering system and the other end-user rendering systems for local optimization, the end-user rendering system including computer processing machinery to: receive advertisements; store the advertisements in an advertisement database; store, in a state database, information including at least one of the following: information about the end-user rendering system, information about a display device operationally connected to the end-user rendering system, information about a user of the end-user rendering system, a history of the advertisements previously rendered by the end-user rendering system; receive the globally optimized tree-type decision model at the end-user rendering system from the broadcast Headend for local optimization at the end-user rendering system, the globally optimized tree-type decision model enabling selection of at least one advertising campaign from a plurality of advertising campaigns based on evaluating a collection of targeting criteria, each one of the advertising campaigns having at least one of the targeting criteria which must be fulfilled for the one advertising campaign to be selected, at least some of the advertising campaigns having at least one of the targeting criteria in common, the globally optimized tree-type decision model including a plurality of paths emerging from a root node via a plurality of decision nodes terminating in a plurality of terminal nodes, the terminal nodes representing the advertising campaigns for selection and the decision nodes representing the targeting criteria so that for each one of the paths, the one path includes the at least one targeting criterion of the one advertising campaign terminating the one path, the at least some advertising campaigns having the at least one targeting criterion in common sharing at least one of the decision nodes; and optimize the globally optimized tree-type decision model in the end-user rendering system, yielding a locally optimized tree-type decision model, based on at least some of the information stored in the state database such that the paths having at least one of the decision nodes where the targeting criteria are not satisfied when evaluated with the at least some information are removed from the globally optimized tree-type decision model; evaluate each of the paths of the locally optimized tree-type decision model by evaluating the targeting criteria of at least one of the decision nodes in a direction from the root node to the terminal nodes; identify the paths where all the targeting criteria are satisfied in the evaluation of the paths; and select an advertising campaign from the advertising campaigns of the terminal nodes of the identified paths, the selected advertising campaign having at least one advertisement; and render the at least one advertisement of the selected advertising campaign.

20130268568

13910035

1. A records management system, comprising: a memory that stores instructions; and a processor that executes the instructions to perform operations, the operations comprising: designating an electronic storage location for a representation of a page of a document of a plurality of documents; creating an electronic data file for the plurality of documents, wherein the electronic data file includes the electronic storage location for the representation of the page and relates the representation of the page to a corresponding document of the plurality of documents; receiving data for the electronic data file, the data including information that identifies the representation of the page; correlating the representation of the page with the electronic data file such that the representation of the page and the electronic data file are accessible from a single electronic project file; and creating a summary excerpt of the representation of the page.

20060089834

10971817

1. A computer implemented method of recognizing speech, the method comprising: identifying a set of verbs for speech recognition commands; recognizing utterance of a verb of the set in combination with at least one invalid object for the verb; and generating an indication relative to the verb and invalid object.