A hierarchical Bayesian language model based on Pitman–Yor processes (2006)

by Yee Whye Teh
Venue:In Coling/ACL, 2006. 9
Citations:78 - 8 self

Active Bibliography

16 A bayesian interpretation of interpolated kneserney – Yee Whye Teh - 2006
2 Hierarchical Bayesian Language Models for Conversational Speech Recognition – Songfang Huang, Student Member, Steve Renals
50 A bayesian framework for word segmentation: Exploring the effects of context – Sharon Goldwater, Thomas L. Griffiths, Mark Johnson - 2009
Separating Precision and Mean in Dirichlet-enhanced High-order Markov Models – Rikiya Takahashi
1 Nonparametric Bayesian methods for extracting structure from data – Edward Meeds, Edward Meeds - 2008
8 A Hierarchical Nonparametric Bayesian Approach to Statistical Language Model Domain Adaptation – Frank Wood, Yee Whye Teh
35 Nonparametric Bayesian Models of Lexical Acquisition – Sharon J. Goldwater - 2007
1 An Overview of Nonparametric Bayesian Models and Applications to Natural Language Processing – Narges Sharif-razavian, Andreas Zollmann
Gatsby Computational – Frank Wood, Lancelot James, Jan Gasthaus, Cédric Archambeau, Yee Whye Teh
43 Describing Visual Scenes Using Transformed Objects and Parts – E. B. Sudderth, A. Torralba, W. T. Freeman, A. S. Willsky - 2005
10 Lightly Supervised and Data-Driven Approaches to Mandarin Broadcast News Transcription – Berlin Chen, Jen-wei Kuo, Wen-hung Tsai
U N I V E R S – Benjamin Graf
2 A Parallel Training Algorithm for Hierarchical Pitman-Yor Process Language Models – Songfang Huang, Steve Renals
1 Hierarchical Bayesian Language Modelling for the Linguistically Informed – Jan A. Botha
Edinburgh, EH8 9AB – Thomas L. Griffiths, Mark Johnson, Fernando Pereira
Language modeling for . . . – Bo-june (Paul) Hsu - 2009
Non-Parametric Bayesian Areal Linguistics – Hal Daumé Iii
850 An Empirical Study of Smoothing Techniques for Language Modeling – Stanley F. Chen - 1998