4187 results about "Phrase" patented technology

A method for providing automatic, personalized information services to a computer user includes the following steps: transparently monitoring user interactions with data during normal use of the computer; updating user-specific data files including a set of user-related documents; estimating parameters of a learning machine that define a User Model specific to the user, using the user-specific data files; analyzing a document to identify its properties; estimating the probability that the user is interested in the document by applying the document properties to the parameters of the User Model; and providing personalized services based on the estimated probability. Personalized services include personalized searches that return only documents of interest to the user, personalized crawling for maintaining an index of documents of interest to the user; personalized navigation that recommends interesting documents that are hyperlinked to documents currently being viewed; and personalized news, in which a third party server customized its interaction with the user. The User Model includes continually-updated measures of user interest in words or phrases, web sites, topics, products, and product features. The measures are updated based on both positive examples, such as documents the user bookmarks, and negative examples, such as search results that the user does not follow. Users are clustered into groups of similar users by calculating the distance between User Models.

A system for internet navigation using soft hyperlinks is disclosed, in connection with an illustrative information retrieval system with which it may be used. The navigation tool provides freedom to move through a collection of electronic documents independent of any hyperlink which has been inserted within an HTML page. A user can click on any term in a document page, not only those that are hyperlinked. For example, when a user clicks on an initial word within the document, the disclosed system employs a search engine in the background to retrieve a list of related terms. In an illustrative embodiment, a compass-like display appears with pointers indicating the first four terms returned by the search engine. These returned terms have the highest degree of correlation with the initial search term in a lexical knowledge base that the search engine constructs automatically. The disclosed system allows the user to move from the current document to one of a number of document lists which cover different associations between the initial word clicked on by the user and other terms extracted from within the retrieved list of related terms. The disclosed system may further allow the user to move to a document that is considered most related to the initial word clicked on by the user, or to a list of documents that are relevant to a phrase or paragraph selection indicated by the user within the current page.

An intelligent home automation system answers questions of a user speaking “natural language” located in a home. The system is connected to, and may carry out the user's commands to control, any circuit, object, or system in the home. The system can answer questions by accessing the Internet. Using a transducer that “hears” human pulses, the system may be able to identify, announce and keep track of anyone entering or staying in the home or participating in a conversation, including announcing their identity in advance. The system may interrupt a conversation to implement specific commands and resume the conversation after implementation. The system may have extensible memory structures for term, phrase, relation and knowledge, question answering routines and a parser analyzer that uses transformational grammar and a modified three hypothesis analysis. The parser analyzer can be dormant unless spoken to. The system has emergency modes for prioritization of commands.

An electronic translator translates input speech into multiple streams of data that are simultaneously delivered to the user, such as a hearing impaired individual. Preferably, the data is delivered in audible, visual and text formats. These multiple data streams are delivered to the hearing-impaired individual in a synchronized fashion, thereby creating a cognitive response. Preferably, the system of the present invention converts the input speech to a text format, and then translates the text to any of three other forms, including sign language, animation and computer generated speech. The sign language and animation translations are preferably implemented by using the medium of digital movies in which videos of a person signing words, phrase and finger spelled words, and of animations corresponding to the words, are selectively accessed from databases and displayed. Additionally the received speech is converted to computer-generated speech for input to various hearing enhancement devices used by the deaf or hearing-impaired, such as cochlear implants and hearing aids, or other output devices such as speakers, etc. The data streams are synchronized utilizing a high-speed personal computer to facilitate sufficiently fast processing that the text, video signing and audible streams can be generated simultaneously in real time. Once synchronized the data streams are presented to the subject concurrently in a method that allows the process of mental comprehension to occur. The electronic translator can also be interfaced to other communications devices, such as telephones. Preferably, the hearing-impaired person is also able to use the system's keyboard or mouse to converse or respond.

An apparatus and system for analyzing intention are provided. The apparatus for analyzing an intention applies a context-free grammar to each of one or more sentences in units of one or more phrases to perform phrase spotting on each sentence, thereby extending a recognition range for an out-of-grammar (OOG) expression. Meanwhile, the apparatus for analyzing an intention determines whether sentences that have undergone phrase spotting are grammatically valid by applying a dependency grammar to the sentences to filter an invalid sentence, and generates the intention analysis result of a valid sentence, thereby and grammatically and/or semantically verifying a sentence that has undergone speech recognition while extending a speech recognition range.

Methods, systems and computer program products are provided which provide for controlling access to digital data in a file by encrypting the data with a first key, encrypting the first key with a second personal key generated from a password/passphrase associated with the file and further encrypting the encrypted first key with a control key which is managed by the system. In certain embodiments, user authentication may also be provided by issuing a ticket which is utilized to create, access and administer the files in the system.

A computer system performs financial analysis on one or more financial entities, which may be corporations, securities, etc., based on the sentiment expressed about the one or more financial entities within raw textual data stored in one or more electronic data sources containing information or text related to one or more financial entities. The computer system includes a content mining search agent that identifies one or more words or phrases within raw textual data in the data sources using natural language processing to identify relevant raw textual data related to the one or more financial entities, a sentiment analyzer that analyzes the relevant raw textual data to determine the nature or the strength of the sentiment expressed about the one or more financial entities within the relevant raw textual data and that assigns a value to the nature or strength of the sentiment expressed about the one or more financial entities within the relevant raw textual data, and a user interface program that controls the content mining search agent and the sentiment analyzer and that displays, to a user, the values of the nature or strength of the sentiment expressed about the one or more financial entities within the data sources. This computer system enables a user to make better decisions regarding whether or not to purchase or invest in the one or more financial entities.

A method is disclosed wherein the webpages listed in the result set of a search engine is sorted according to the relevance of the webpages to a list of prioritised search terms. Search terms which are phrases that are delimited by prepositions are considered search terms with high priority. Search terms which nouns are set to high priority. Search terms which are adjectives, verbs, auxiliary verbs, articles, conjunctions, pronouns and prepositions are set to low priority.

Disclosed is a method for linguistic pattern recognition of information. Initially, textual information is retrieved from a data source utilizing a network. The textual information is then segmented into a plurality of phrases, which are then scanned for patterns of interest. For each pattern of interest found a corresponding event structure is built. Event structures that provide information about essentially the same incident are then merged.

An input request may be processed by a device such as a network access apparatus, servlet, applet, stand-alone executable program, or a user interface element such as a microphone, text box object or location field of a web browser. When such an input request is determined to include a valid domain name, it may then be determined whether to perform a search request with the input as a literal string. A search request may be initiated by selecting an exact phrase option from a listbox or by surrounding the input with a delimiter such as the quote sign (e.g., “example.com”) to process the detected domain name as a literal string, otherwise a domain name detected from input may be processed as a registration and/or resolution request. When it is determined that the input is instead processed as a resolution and/or registration request, then the resolvability and/or availability of the domain name may be determined. When the domain name is determined to be not resolvable, then the domain name may be processed as a registration request.

The disclosure describes an overall system/method for text-input using a multimodal interface with a combination of speech recognition and text prediction. Specifically, an “always listening” mode for entering words is combined with a push-to-speak mode for entering symbols and phrases. In addition, these two modes are further combined with keypad based text prediction. Finally, the overall user-interface of the proposed system is designed such that it enhances existing standard text-input methods; thereby minimizing the behavior change for mobile users.

A clustering architecture that dynamically groups the search result documents into clusters labeled by phrases extracted from the search result snippets. Documents related to the same topic usually share a common vocabulary. The words are first clustered based on their co-occurrences and each cluster forms a potentially interesting topic. Keywords are chosen and then clustered by counting co-occurrences of pairs of keywords. Documents are assigned to relevant topics based on the feature vectors of the clusters.

In embodiments of the present invention, a system and computer-implemented method for enabling dictation may include parsing standard reports in order to identify a plurality of logical phrases in the report used for discrete sections and descriptions. In the report method, the phrases may be parsed and identifier words throughout the report may be compared to eliminate ambiguities. The method may then involve constructing text macros that follow the parsed text, thereby enabling the user to speak the identifiers to indicate full, formatted text. Finally, the report method may involve constructing a mnemonic document so both beginner and experienced users can easily read the identifiers out loud to produce a report. The result of the method is an intuitive, notes-style way to use speech commands to quickly produce a standard, formatted report.

Text searching is achieved by techniques including phrase frequency analysis and phrase-co-occurrence analysis. In many cases, factor matrix analysis is also advantageously applied to select high technical content phrases to be analyzed for possible inclusion within a new query. The described techniques may be used to retrieve data, determine levels of emphasis within a collection of data, determine the desirability of conflating search terms, detect symmetry or asymmetry between two text elements within a collection of documents, generate a taxonomy of documents within a collection, and perform literature-based problem solving. (This abstract is intended only to aid those searching patents, and is not intended to limit the disclosure of claims in any manner.)

A system and method for automated dictionary population is provided to facilitate the entry of textual material in dictionaries for enhancing word prediction. The automated dictionary population system is useful in association with a mobile device including at least one dictionary which includes entries. The device receives a communication which is parsed and textual data extracted. The text is compared to the entries of the dictionaries to identify new words. Statistical information for the parsed words, including word usage frequency, recency, or likelihood of use, is generated. Profanities may be processed by identifying profanities, modifying the profanities, and asking the user to provide feedback. Phrases are identified by phrase markers. Lastly, the new words are stored in a supplementary word list as single words or by linking the words of the identified phrases to preserve any phrase relationships. Likewise, the statistical information may be stored.

An information retrieval system uses phrases to index, retrieve, organize and describe documents. Phrases are extracted from the document collection. Documents are the indexed according to their included phrases, using phrase posting lists. The phrase posting lists are stored in an cluster of index servers. The phrase posting lists can be tiered into groups, and sharded into partitions. Phrases in a query are identified based on possible phrasifications. A query schedule based on the phrases is created from the phrases, and then optimized to reduce query processing and communication costs. The execution of the query schedule is managed to further reduce or eliminate query processing operations at various ones of the index servers.

A computer program product for controlling the computer's processor to perform responsive actions a natural language input has: (1) vocabulary, phrase and concept databases of words, phrase and concepts, respectively, that can be recognized in the inputted communication, wherein each of these database elements is representable by a designated semantic symbol, (2) means for searching the inputted communication to identify the words in the communication that are contained within the vocabulary database, (3) means for expressing the communication in terms of the word semantic symbols that correspond to each of the words identified in the inputted communication, (4) means for searching the communication when expressed in terms of its corresponding word semantic symbols so as to identify the phrases in the communication that are contained within the phrase database, (5) means for expressing the communication in terms of the phrase semantic symbols that correspond to each of the phrases identified in the communication, (6) means for searching the communication when expressed in terms of its corresponding phrase semantic symbols so as to identify the concepts in the communication that are contained within the concept database, and (7) means for expressing the communication in terms of the concept semantic symbols that correspond to each of the concepts identified in the inputted communication, wherein these concept semantic symbols are recognizable by the processor and can cause the processor to take action responsive to the inputted communication.

A method, system, and computer program product for autonomously transcribing and building tagging data of a conversation. A corpus processing agent monitors a conversation and utilizes a speech recognition agent to identify the spoken languages, speakers, and emotional patterns of speakers of the conversation. While monitoring the conversation, the corpus processing agent determines emotional patterns by monitoring voice modulation of the speakers and evaluating the context of the conversation. When the conversation is complete, the corpus processing agent determines synonyms and paraphrases of spoken words and phrases of the conversation taking into consideration any localized dialect of the speakers. Additionally, metadata of the conversation is created and stored in a link database, for comparison with other processed conversations. A corpus, a transcription of the conversation containing metadata links, is then created. The corpus processing agent also determines the frequency of spoken keywords and phrases and compiles a popularity index.

Extensions to latent semantic indexing (LSI), including: phrase processing, creation of generalized entities, elaboration of entities, replacement of idiomatic expressions, and use of data fusion methods to combine the aforementioned extensions in a synergistic fashion. Additionally, novel methods tailored to specific applications of LSI are disclosed.