Bayesian grammar induction for language modeling (1995)

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by Stanley F. Chen
Venue:In Proceedings of ACL
Citations:52 - 1 self

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64 Building Probabilistic Models for Natural Language – Stanley F. Chen - 1996
125 Bayesian learning of probabilistic language models – Andreas Stolcke - 1994
Andreas StolckeBayesian Learning of Probabilistic Language Models – Andreas Stolcke
82 Parsing Inside-Out – Joshua T. Goodman - 1998
96 Part-of-Speech Tagging and Partial Parsing – Steven Abney - 1996
10 Unsupervised Lexical Learning as Inductive Inference – Chun Yu Kit - 2000
Statistical Parsing and Language Modeling Based on . . . – Wen Wang - 2003
27 Novel Estimation Methods for Unsupervised Discovery of Latent Structure in Natural Language Text – Noah Ashton Smith - 2006
188 An Efficient Probabilistic Context-Free Parsing Algorithm that Computes Prefix Probabilities – Andreas Stolcke - 2002
955 Head-Driven Statistical Models for Natural Language Parsing – Michael Collins, Michael Collins - 1999
14 Automatic Acquisition of Language Models for Speech Recognition – Michael Kyle McCandless - 1994
93 Best-first Model Merging for Hidden Markov Model Induction – Andreas Stolcke, Stephen M. Omohundro - 1994
41 Stochastic Lexicalized Context-Free Grammar – Yves Schabes, Richard C. Waters - 1993
Bayesian Grammar Induction for Language Modeling – Stanley Chen Aiken - 1995
4 Statistical Language Processing based on Self-Organising Word Classification – John G. G. McMahon, John George, Gavin Mcmahon - 1994
6 Learning Probabilistic Grammars for Language Modeling – Glenn Carroll - 1995
4 A Review of Statistical Language Processing Techniques – J. Mcmahon, F. J. Smith - 1995
2 Combining Labeled and Unlabeled Data in Statistical Natural Language Parsing – Anoop Sarkar, Mike Collins, Adwait Ratnaparkhi, Mark Dras, David Chiang, Dan Bikel, Tom Morton, Anoop Sarkar - 2002
5 Open problems in universal induction & intelligence – Marcus Hutter - 2009