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IALP
2010
12 years 11 months ago
Hierarchical Pitman-Yor Language Model for Machine Translation
The hierarchical Pitman-Yor process-based smoothing method applied to language model was proposed by Goldwater and by Teh; the performance of this smoothing method is shown compara...
Tsuyoshi Okita, Andy Way
ICASSP
2010
IEEE
13 years 5 months ago
Power law discounting for n-gram language models
We present an approximation to the Bayesian hierarchical PitmanYor process language model which maintains the power law distribution over word tokens, while not requiring a comput...
Songfang Huang, Steve Renals
CACM
2011
120views more  CACM 2011»
12 years 12 months ago
The sequence memoizer
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Jan Gasthaus, Cédric Archambeau...
DCC
2010
IEEE
13 years 11 months ago
Lossless Compression Based on the Sequence Memoizer
In this work we describe a sequence compression method based on combining a Bayesian nonparametric sequence model with entropy encoding. The model, a hierarchy of Pitman-Yor proce...
Jan Gasthaus, Frank Wood, Yee Whye Teh
CORR
2010
Springer
168views Education» more  CORR 2010»
13 years 5 months ago
A Bayesian Review of the Poisson-Dirichlet Process
The two parameter Poisson-Dirichlet process is also known as the PitmanYor Process and related to the Chinese Restaurant Process, is a generalisation of the Dirichlet Process, and...
Wray L. Buntine, Marcus Hutter