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Stochastic grammar

Known as: SNLP, Statistical Natural Language Processing, Statistical grammar 
A stochastic grammar (statistical grammar) is a grammar framework with a probabilistic notion of grammaticality: * Stochastic context-free grammar… Expand
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Papers overview

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Highly Cited
2009
Highly Cited
2009
We define Recursive Markov Chains (RMCs), a class of finitely presented denumerable Markov chains, and we study algorithms for… Expand
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Highly Cited
2008
Highly Cited
2008
This chapter describes a general representation and algorithmic framework for speech recognition based on weighted finite-state… Expand
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Highly Cited
2006
Highly Cited
2006
This article presents clustering experiments on German verbs: A statistical grammar model for German serves as the source for a… Expand
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Highly Cited
2005
Highly Cited
2005
Most current statistical natural language processing models use only local features so as to permit dynamic programming in… Expand
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Highly Cited
2004
Highly Cited
2004
  • P. Kantor
  • Information Retrieval
  • 2004
  • Corpus ID: 115386587
 
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Highly Cited
2002
Highly Cited
2002
Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the… Expand
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Highly Cited
2002
Highly Cited
2002
Conditional maximum entropy (ME) models provide a general purpose machine learning technique which has been successfully applied… Expand
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Highly Cited
2001
Highly Cited
2001
Estimating word co-occurrence probabilities is a problem underlying many applications in statistical natural language processing… Expand
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Highly Cited
1999
Highly Cited
1999
  • F. Och
  • EACL
  • 1999
  • Corpus ID: 11533588
In statistical natural language processing we always face the problem of sparse data. One way to reduce this problem is to group… Expand
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Highly Cited
1998
Highly Cited
1998
In this article we show how Optimality Theory yields a highly general Constraint Demotion principle for grammar learning. The… Expand
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