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» Improved Source-Channel Models for Chinese Word Segmentation
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TASLP
2008
142views more  TASLP 2008»
13 years 7 months ago
HMM Word and Phrase Alignment for Statistical Machine Translation
HMM-based models are developed for the alignment of words and phrases in bitext. The models are formulated so that alignment and parameter estimation can be performed efficiently....
Yonggang Deng, William J. Byrne
ACL
2006
13 years 9 months ago
Contextual Dependencies in Unsupervised Word Segmentation
Developing better methods for segmenting continuous text into words is important for improving the processing of Asian languages, and may shed light on how humans learn to segment...
Sharon Goldwater, Thomas L. Griffiths, Mark Johnso...
FINTAL
2006
13 years 11 months ago
Improving Phrase-Based Statistical Translation Through Combination of Word Alignments
This paper investigates the combination of word-alignments computed with the competitive linking algorithm and well-established IBM models. New training methods for phrase-based st...
Boxing Chen, Marcello Federico
ACL
2009
13 years 5 months ago
Better Word Alignments with Supervised ITG Models
This work investigates supervised word alignment methods that exploit inversion transduction grammar (ITG) constraints. We consider maximum margin and conditional likelihood objec...
Aria Haghighi, John Blitzer, John DeNero, Dan Klei...
ACL
2008
13 years 9 months ago
Recent Improvements in the CMU Large Scale Chinese-English SMT System
In this paper we describe recent improvements to components and methods used in our statistical machine translation system for ChineseEnglish used in the January 2008 GALE evaluat...
Almut Silja Hildebrand, Kay Rottmann, Mohamed Noam...