natural language processing


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natural language processing

[′nach·rəl ¦laŋ·gwij ′prä‚ses·iŋ]
(computer science)
Computer analysis and generation of natural language text; encompasses natural language interaction and natural language text processing.

Natural language processing

Computer analysis and generation of natural language text. The goal is to enable natural languages, such as English, French, or Japanese, to serve either as the medium through which users interact with computer systems such as database management systems and expert systems (natural language interaction), or as the object that a system processes into some more useful form such as in automatic text translation or text summarization (natural language text processing).

In the computer analysis of natural language, the initial task is to translate from a natural language utterance, usually in context, into a formal specification that the system can process further. Further processing depends on the particular application. In natural language interaction, it may involve reasoning, factual data retrieval, and generation of an appropriate tabular, graphic, or natural language response. In text processing, analysis may be followed by generation of an appropriate translation or a summary of the original text, or the formal specification may be stored as the basis for more accurate document retrieval later. Given its wide scope, natural language processing requires techniques for dealing with many aspects of language, in particular, syntax, semantics, discourse context, and pragmatics.

The first aspect of natural language processing, and the one that has perhaps received the most attention, is syntactic processing, or parsing. Syntactic processing is important because certain aspects of meaning can be determined only from the underlying structure and not simply from the linear string of words. A second phase of natural language processing, semantic analysis, involves extracting context-independent aspects of a sentence's meaning. Given that most natural languages allow people to take advantage of discourse context, their mutual beliefs about the world, and their shared spatio-temporal context to leave things unsaid or say them with minimal effort, the purpose of a third phase of natural language processing, contextual analysis, is to elaborate the semantic representation of what has been made explicit in the utterance with what is implicit from context. A fourth phase of natural language processing, pragmatics, takes into account the speaker's goal in uttering a particular thought in a particular way—what the utterance is being used to do.

natural language processing

(artificial intelligence)
(NLP) Computer understanding, analysis, manipulation, and/or generation of natural language.

This can refer to anything from fairly simple string-manipulation tasks like stemming, or building concordances of natural language texts, to higher-level AI-like tasks like processing user queries in natural language.
References in periodicals archive ?
While those types of backups are useful to customers, they have done little to advance the cause of natural language processing and have left companies wondering why they should invest in natural language if they still must rely on directed dialogue.
The comparison was performed to evaluate the performance of the described natural language processing software.
The natural language processing community has recently experienced a growth of interest in semantic roles, since they describe the role players in texts: WHO did WHAT to WHOM, WHEN, WHERE, WHY, HOW etc.
Natural Language Processing" (NLP) and Natural Language Understanding (NLU) are emerging technologies that continue to show promise for extracting data from free text documents.
BrandPulse's new blog analytics capability is built on the cutting-edge Internet search, advanced text-mining and natural language processing technologies developed at Intelliseek's Advanced Research Center (ARC) in Pittsburgh.
The Dejima product portfolio includes a total of 16 granted or pending patents and leverages natural language processing and adaptive agent technologies to allow end users to interact with information sources using common, colloquial language.
Banter Inc is a privately held natural language understanding software developer and its Banter Server combines proprietary technology for natural language processing, statistical and semantic modeling with automatic machine learning to analyze and understand the content of documents and messages written in an everyday, informal manner.
The term coined for this interactive software is natural language processing. Natural language processing places the human and the computer on the same communications level where they each interact through the spoken language.
When looking at the next two years, the top five areas of technological development include the explosion of wireless communications, the maturing of content delivery -- particularly over the Web, the development of distributed storage approaches across enterprises, the introduction of natural language processing, and the commercial introduction of flexible transistors.
This system, from Southern Methodist University in Dallas, Texas, demonstrated the power of integrating multiple natural language processing techniques with abductive reasoning to produce a final score almost twice that of the other 27 groups that participated in the testing.
* Information Retrieval: including natural language processing (NLP) for concept-based indexing, natural language query interface, semantic-based relevance judgment, etc.
A number of IE systems, particularly in the areas of news/fact retrieval and in domain-specific areas, such as in chemical and patent information retrieval, have been developed in the recent past using the template mining approach that involves a natural language processing (NLP) technique to extract data directly from text if either the data and/or text surrounding the data form recognizable patterns.

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