Stochastic grammar

Results: 143



#Item
21Lexicalization in Crosslinguistic Probabilistic Parsing: The Case of French Abhishek Arun and Frank Keller School of Informatics, University of Edinburgh 2 Buccleuch Place, Edinburgh EH8 9LW, UK , kell

Lexicalization in Crosslinguistic Probabilistic Parsing: The Case of French Abhishek Arun and Frank Keller School of Informatics, University of Edinburgh 2 Buccleuch Place, Edinburgh EH8 9LW, UK , kell

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Source URL: homepages.inf.ed.ac.uk

Language: English - Date: 2010-11-08 07:24:17
22Morphology and Reranking for the Statistical Parsing of Spanish Brooke Cowan MIT CSAIL  Abstract We present two methods for incorporating detailed features in a Spanish parser,

Morphology and Reranking for the Statistical Parsing of Spanish Brooke Cowan MIT CSAIL Abstract We present two methods for incorporating detailed features in a Spanish parser,

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Source URL: people.csail.mit.edu

Language: English - Date: 2008-12-21 17:22:25
23Using adaptor grammars to identify synergies in the unsupervised acquisition of linguistic structure Mark Johnson Brown University Mark

Using adaptor grammars to identify synergies in the unsupervised acquisition of linguistic structure Mark Johnson Brown University Mark

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Source URL: www.aclweb.org

Language: English - Date: 2010-06-15 03:19:37
24Unsupervised word segmentation for Sesotho using Adaptor Grammars  Mark Johnson Brown University Mark

Unsupervised word segmentation for Sesotho using Adaptor Grammars Mark Johnson Brown University Mark

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Source URL: www.aclweb.org

Language: English - Date: 2010-06-15 08:41:11
25A Classifier-Based Parser with Linear Run-Time Complexity  Kenji Sagae and Alon Lavie Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213

A Classifier-Based Parser with Linear Run-Time Complexity Kenji Sagae and Alon Lavie Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213

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Source URL: people.ict.usc.edu

Language: English - Date: 2012-01-18 20:15:34
26Parsing Time: Learning to Interpret Time Expressions Gabor Angeli Stanford University Stanford, CA 94305

Parsing Time: Learning to Interpret Time Expressions Gabor Angeli Stanford University Stanford, CA 94305

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Source URL: nlp.stanford.edu

Language: English - Date: 2012-04-26 17:59:00
27Deep Learning for NLP Stephen Pulman Dept. of Computer Science, Oxford University and TheySay Ltd ,  @sgpulman

Deep Learning for NLP Stephen Pulman Dept. of Computer Science, Oxford University and TheySay Ltd , @sgpulman

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Source URL: sentimentsymposium.com

Language: English - Date: 2014-03-12 10:33:45
28Parsing with Treebank Grammars: Empirical Bounds, Theoretical Models, and the Structure of the Penn Treebank Dan Klein and Christopher D. Manning Computer Science Department Stanford University Stanford, CA

Parsing with Treebank Grammars: Empirical Bounds, Theoretical Models, and the Structure of the Penn Treebank Dan Klein and Christopher D. Manning Computer Science Department Stanford University Stanford, CA

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Source URL: nlp.stanford.edu

Language: English - Date: 2001-05-28 19:28:08
29A Maximum Entropy Model of Phonotactics and

A Maximum Entropy Model of Phonotactics and

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Source URL: www.linguistics.ucla.edu

Language: English - Date: 2007-09-14 18:01:00
30T h r e e Generative, Lexicalised M o d e l s for Statistical Parsing M i c h a e l Collins* D e p t . of C o m p u t e r a n d I n f o r m a t i o n Science University of Pennsylvania P h i l a d e l p h i a , P A , 191

T h r e e Generative, Lexicalised M o d e l s for Statistical Parsing M i c h a e l Collins* D e p t . of C o m p u t e r a n d I n f o r m a t i o n Science University of Pennsylvania P h i l a d e l p h i a , P A , 191

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Source URL: www.aclweb.org

Language: English - Date: 2010-06-15 04:30:58