natural language processing

Definitions

  • WordNet 3.6
    • n natural language processing the branch of information science that deals with natural language information
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Usage

In literature:

Thence, by a natural process common to most languages, those who belonged to this highest had no number at all assigned to them.
"The Uncollected Writings of Thomas de Quincey--Vol. 1" by Thomas de Quincey
This language therefore cannot be the type of such processes, as their nature and operation are unknown.
"Sound Mind" by John Haslam
No process has ever been able to record the complexity of these natural languages.
"Browning and the Dramatic Monologue" by S. S. Curry
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In news:

Text classification remains one of the major fields of research in natural language processing.
We explore the emerging phenomenon of blogging about personal goals, and demonstrate how natural language processing tools can be used to uncover psychologically meaningful constructs in blogs.
The Applied Natural Language Processing track is a forum for researchers working in natural language processing (NLP), computational linguistics (CL), applied linguistics (AL) and related areas.
Stock market prediction using natural language processing, patent No.
Word sense disambiguation (WSD) has been a long-standing research objective for natural language processing.
Unfortunately, standard natural language processing (NLP) extraction techniques expect full, grammatical sentences, and perform poorly on the choppy sentence fragments that are often found on web pages.
Lexicon development and Part of Speech (POS) tagging are very important for almost all Natural Language Processing( NLP) application areas.
It uses natural-language processing and security techniques to identify offending data.
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In science:

In empirical natural language processing, one is often testing whether some new technique produces improved results (as measured by one or more metrics) on some test data set when compared to some current (baseline) technique.
More accurate tests for the statistical significance of result differences
In empirical natural language processing, one is often comparing differences in values of metrics like recall, precision and balanced F-score.
More accurate tests for the statistical significance of result differences
We ran a set of natural language processing experiments and found that this assumption is often violated in such a way as to understate the statistical signi´Čücance of the differences between the results.
More accurate tests for the statistical significance of result differences
Foundations of Statistical Natural Language Processing.
Extended Comment on Language Trees and Zipping
However, participants for the NTCIR workshop are mainly researchers in the information retrieval and natural language processing communities, and are not necessarily experts in developing and operating speech recognition systems.
Building a Test Collection for Speech-Driven Web Retrieval
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