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IALP
2010
14 years 10 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
COLING
2010
14 years 10 months ago
An Efficient Shift-Reduce Decoding Algorithm for Phrased-Based Machine Translation
In statistical machine translation, decoding without any reordering constraint is an NP-hard problem. Inversion Transduction Grammars (ITGs) exploit linguistic structure and can w...
Yang Feng, Haitao Mi, Yang Liu, Qun Liu
116
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NAACL
1994
15 years 5 months ago
The Candide System for Machine Translation
We present an overview of Candide, a system for automatic translation of French text to English text. Candide uses methods of information theory and statistics to develop a probab...
Adam L. Berger, Peter F. Brown, Stephen Della Piet...
133
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EMNLP
2007
15 years 5 months ago
Smooth Bilingual N-Gram Translation
We address the problem of smoothing translation probabilities in a bilingual N-grambased statistical machine translation system. It is proposed to project the bilingual tuples ont...
Holger Schwenk, Marta R. Costa-Jussà, Jos&e...
COLING
2010
14 years 10 months ago
Learning Phrase Boundaries for Hierarchical Phrase-based Translation
Hierarchical phrase-based models provide a powerful mechanism to capture non-local phrase reorderings for statistical machine translation (SMT). However, many phrase reorderings a...
Zhongjun He, Yao Meng, Hao Yu