- Stochastic grammar
A

**stochastic grammar**(**statistical grammar**) is agrammar framework with aprobabilistic notion ofgrammaticality :

*Stochastic context-free grammar

*Statistical parsing

*Data-oriented parsing

*Hidden Markov model

*Estimation theory Statistical

natural language processing usesstochastic ,probabilistic andstatistical methods, especially to resolve difficulties which arise because longer sentences are highly ambiguous when processed with realistic grammars, yielding thousands or millions of possible analyses. Methods for disambiguation often involve the use of corpora andMarkov model s. Thetechnology for statistical NLP comes mainly frommachine learning anddata mining , both of which are fields ofartificial intelligence that involve learning from data.**Literature***Christopher D. Manning, Hinrich Schutze "Foundations of Statistical Natural Language Processing", MIT Press (1999), ISBN 978-0262133609.

*Stefan Wermter, Ellen Riloff, Gabriele Scheler (eds.) "Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing", Springer (1996), ISBN 978-3540609254.**ee also***

Colorless green ideas sleep furiously

*Computational linguistics

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2010.*

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