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IALP
2010
13 years 2 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
EUROPAR
2000
Springer
13 years 11 months ago
A Statistical-Empirical Hybrid Approach to Hierarchical Memory Analysis
A hybrid approach that utilizes both statistical techniques and empirical methods seeks to provide more information about the performance of an application. In this paper, we prese...
Xian-He Sun, Kirk W. Cameron
COLING
2008
13 years 9 months ago
An Improved Hierarchical Bayesian Model of Language for Document Classification
This paper addresses the fundamental problem of document classification, and we focus attention on classification problems where the classes are mutually exclusive. In the course ...
Ben Allison
ACL
1996
13 years 8 months ago
A Fully Statistical Approach to Natural Language Interfaces
We present a natural language interface system which is based entirely on trained statistical models. The system consists of three stages of processing: parsing, semantic interpre...
Scott Miller, David Stallard, Robert J. Bobrow, Ri...
ACL
2006
13 years 9 months ago
A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes
We propose a new hierarchical Bayesian n-gram model of natural languages. Our model makes use of a generalization of the commonly used Dirichlet distributions called Pitman-Yor pr...
Yee Whye Teh