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COLING
2010
13 years 2 months ago
Nonparametric Word Segmentation for Machine Translation
We present an unsupervised word segmentation model for machine translation. The model uses existing monolingual segmentation techniques and models the joint distribution over sour...
ThuyLinh Nguyen, Stephan Vogel, Noah A. Smith
PAMI
2000
66views more  PAMI 2000»
13 years 7 months ago
A Statistical, Nonparametric Methodology for Document Degradation Model Validation
Tapas Kanungo, Robert M. Haralick, Henry S. Baird,...
ACL
2012
11 years 10 months ago
A Nonparametric Bayesian Approach to Acoustic Model Discovery
We investigate the problem of acoustic modeling in which prior language-specific knowledge and transcribed data are unavailable. We present an unsupervised model that simultaneou...
Chia-ying Lee, James R. Glass
ICVGIP
2004
13 years 9 months ago
A Robust Nonparametric Estimation Framework for Implicit Image Models
Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
Himanshu Arora, Maneesh Singh, Narendra Ahuja
ICASSP
2011
IEEE
12 years 11 months ago
Learning non-parametric models of pronunciation
As more data becomes available for a given speech recognition task, the natural way to improve recognition accuracy is to train larger models. But, while this strategy yields mode...
Brian Hutchinson, Jasha Droppo