natural language processing


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natural language processing

Abbreviation: NLP
1. The automated analysis of a text for phrases, meanings, or trends in word use. It is used in health care to extract information from electronic medical records, to classify and code the material found, to develop nomenclature, and to develop hypotheses about the data obtained.
2. The cognitive process by which people learn how to understand words, grammar and diction.
See also: processing
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Such middleware as Gearman and Hadoop Streaming allow to evade these issues and to provide the necessary natural language processing services to the end users.
Section 2 presents the trends in the natural language processing field, especially in the semantic analysis.
Exalead's indexing technology blends together diverse fields such as databases, search engine technology, and natural language processing to make sense of the diverse data in an enterprise.
The session was titled "Introduction to Natural Language Processing and Understanding: Enter Clinical Data the Way You Want, Capture Clinical Data the Way You Need."
A-Life Medical, Inc, a provider of Natural Language Processing (NLP) computerized coding solutions for the healthcare industry, has announced the release of CoAudit, a medical coding audit software tool.
Alias-I has deployed LingPipe 2.1 with Java Source for text analytics and natural language processing. LingPipe is an API toolkit designed for developers who need to process text data with greater linguistic sophistication than offered by search engines and database text fields.
Tokyo, Japan, Oct 15, 2005 - (JCNN) - NTT Data Corporation has developed system that analyzes patent documents, utilizing its proprietary natural language processing technology, in a way that allows complicated sentence structures to be understood more easily.
The product includes voice dictation and speech recognition and uses Dictaphone's proprietary natural language processing technology to "read" dictated text documents, extract pertinent medical information and then add it to patients' medical records.
Essential techniques to the development of intelligent machines are investigated, such as pattern recognition and classification, machine learning, natural language processing, grammar, evolutionary schemes, fuzzy-neural procedures, and intelligent vision.

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