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- Stochastic_grammar abstract "A stochastic grammar (statistical grammar) is a grammar framework with a probabilistic notion of grammaticality:Stochastic context-free grammarStatistical parsingData-oriented parsingHidden Markov modelEstimation theoryStatistical natural language processing uses stochastic, probabilistic and statistical methods, especially to resolve difficulties that 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 and Markov models. "A probabilistic model consists of a non-probabilistic model plus some numerical quantities; it is not true that probabilistic models are inherently simpler or less structural than non-probabilistic models."The technology for statistical NLP comes mainly from machine learning and data mining, both of which are fields of artificial intelligence that involve learning from data.".
- Stochastic_grammar wikiPageID "13805160".
- Stochastic_grammar wikiPageRevisionID "579399896".
- Stochastic_grammar hasPhotoCollection Stochastic_grammar.
- Stochastic_grammar subject Category:Grammar_frameworks.
- Stochastic_grammar subject Category:Probabilistic_models.
- Stochastic_grammar subject Category:Statistical_natural_language_processing.
- Stochastic_grammar type Assistant109815790.
- Stochastic_grammar type CausalAgent100007347.
- Stochastic_grammar type LivingThing100004258.
- Stochastic_grammar type Model110324560.
- Stochastic_grammar type Object100002684.
- Stochastic_grammar type Organism100004475.
- Stochastic_grammar type Person100007846.
- Stochastic_grammar type PhysicalEntity100001930.
- Stochastic_grammar type ProbabilisticModels.
- Stochastic_grammar type Whole100003553.
- Stochastic_grammar type Worker109632518.
- Stochastic_grammar type YagoLegalActor.
- Stochastic_grammar type YagoLegalActorGeo.
- Stochastic_grammar comment "A stochastic grammar (statistical grammar) is a grammar framework with a probabilistic notion of grammaticality:Stochastic context-free grammarStatistical parsingData-oriented parsingHidden Markov modelEstimation theoryStatistical natural language processing uses stochastic, probabilistic and statistical methods, especially to resolve difficulties that arise because longer sentences are highly ambiguous when processed with realistic grammars, yielding thousands or millions of possible analyses.".
- Stochastic_grammar label "Stochastic grammar".
- Stochastic_grammar label "Stochastische grammatica".
- Stochastic_grammar sameAs Stochastische_grammatica.
- Stochastic_grammar sameAs m.03cjs4c.
- Stochastic_grammar sameAs Q2481721.
- Stochastic_grammar sameAs Q2481721.
- Stochastic_grammar sameAs Stochastic_grammar.
- Stochastic_grammar wasDerivedFrom Stochastic_grammar?oldid=579399896.
- Stochastic_grammar isPrimaryTopicOf Stochastic_grammar.