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4469 results about "Natural language" patented technology

In neuropsychology, linguistics, and the philosophy of language, a natural language or ordinary language is any language that has evolved naturally in humans through use and repetition without conscious planning or premeditation. Natural languages can take different forms, such as speech or signing. They are distinguished from constructed and formal languages such as those used to program computers or to study logic.

Parser translator system and method

A parser-translator technology allows a user to specify complex test and/or transformation statements in a high-level user language, to ensure that such test and/or transformation statements are well-formed in accordance with a grammar defining legal statements in the user language, and to translate statements defined by the user into logically and syntactically correct directives for performing the desired data transformations or operations. Using the parser-translator technology, a user can focus on the semantics of the desired operations and need not be concerned with the proper syntax of a language for a particular system. Instead, grammars (i.e., data) define the behavior of a parser-translator implementation by encoding the universe of statements (e.g., legal test and/or transformation statements) and by encoding translations appropriate to a particular data processing application (e.g., a data conversion program, etc.). Some parser-translator implementations described herein interface dynamically with other systems and/or repositories to query for information about objects, systems and states represented therein, and/or their respective interfaces. Some grammars described herein encode sensitivity to an external context. In this way, context-sensitive prompting and validation of correct specification of statements is provided. A combination of parser technology and dynamic querying of external system state allows users to build complex statements (e.g., using natural languages within a user interface environment) and to translate those complex statements into statements or directives appropriate to a particular data processing application.
Owner:VERSATA

Distributed real time speech recognition system

InactiveUS20050080625A1Facilitates query recognitionAccurate best responseNatural language translationData processing applicationsFull text searchTime system
A real-time system incorporating speech recognition and linguistic processing for recognizing a spoken query by a user and distributed between client and server, is disclosed. The system accepts user's queries in the form of speech at the client where minimal processing extracts a sufficient number of acoustic speech vectors representing the utterance. These vectors are sent via a communications channel to the server where additional acoustic vectors are derived. Using Hidden Markov Models (HMMs), and appropriate grammars and dictionaries conditioned by the selections made by the user, the speech representing the user's query is fully decoded into text (or some other suitable form) at the server. This text corresponding to the user's query is then simultaneously sent to a natural language engine and a database processor where optimized SQL statements are constructed for a full-text search from a database for a recordset of several stored questions that best matches the user's query. Further processing in the natural language engine narrows the search to a single stored question. The answer corresponding to this single stored question is next retrieved from the file path and sent to the client in compressed form. At the client, the answer to the user's query is articulated to the user using a text-to-speech engine in his or her native natural language. The system requires no training and can operate in several natural languages.
Owner:NUANCE COMM INC

Method and system for conducting sentiment analysis for securities research

InactiveUS20060242040A1FinanceData sourceData storing
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.
Owner:AIM HLDG LLC

System and method for extracting calendar events from free-form email

A system and method are described for automatically detecting calendar events within a free-form email message. For example, a system according to one embodiment of the invention for automatically detecting calendar events within a free-form email message potentially including one or more attachments comprising: a pre-processor to detect one or more keywords within a free-form email message and/or free-form attachments, the keywords indicating whether the free-form email message or free-form attachments contain a calendar event, the pre-processor identifying the free-form email message and/or free-form attachments as potentially containing calendar data upon detecting the one or more keywords; and a natural language processor to further process text from the free-form email message and/or free-form attachments to determine whether the free-form email message and/or free-form attachments contain a calendar event, the natural language processor to parse the email message and/or attachments and evaluate the email message and/or attachments using natural language processing (NLP) techniques to determine the existence of one or more calendar events; and a calendar event generator to extract calendar data from the email message and/or attachments in response to the natural language processor detecting a calendar event, the calendar event generator to update a calendar using the extracted calendar data.
Owner:LEXTINE SOFTWARE
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