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ACL
2011
12 years 11 months ago
Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers
In this paper, with a belief that a language model that embraces a larger context provides better prediction ability, we present two extensions to standard n-gram language models ...
Deyi Xiong, Min Zhang, Haizhou Li
INTERSPEECH
2010
13 years 2 months ago
Combining many alignments for speech to speech translation
Alignment combination (symmetrization) has been shown to be useful for improving Machine Translation (MT) models. Most existing alignment combination techniques are based on heuri...
Sameer Maskey, Steven J. Rennie, Bowen Zhou
ACL
2012
11 years 10 months ago
Fast and Scalable Decoding with Language Model Look-Ahead for Phrase-based Statistical Machine Translation
In this work we present two extensions to the well-known dynamic programming beam search in phrase-based statistical machine translation (SMT), aiming at increased efficiency of ...
Joern Wuebker, Hermann Ney, Richard Zens
ACL
2003
13 years 9 months ago
Loosely Tree-Based Alignment for Machine Translation
We augment a model of translation based on re-ordering nodes in syntactic trees in order to allow alignments not conforming to the original tree structure, while keeping computati...
Daniel Gildea
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