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144
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ACL
2008
15 years 5 months ago
Exploiting N-best Hypotheses for SMT Self-Enhancement
Word and n-gram posterior probabilities estimated on N-best hypotheses have been used to improve the performance of statistical machine translation (SMT) in a rescoring framework....
Boxing Chen, Min Zhang, AiTi Aw, Haizhou Li
165
Voted
ACL
2012
13 years 6 months ago
Fast Syntactic Analysis for Statistical Language Modeling via Substructure Sharing and Uptraining
Long-span features, such as syntax, can improve language models for tasks such as speech recognition and machine translation. However, these language models can be difficult to u...
Ariya Rastrow, Mark Dredze, Sanjeev Khudanpur
140
Voted
ACL
2009
15 years 1 months ago
Toward Smaller, Faster, and Better Hierarchical Phrase-based SMT
We investigate the use of Fisher's exact significance test for pruning the translation table of a hierarchical phrase-based statistical machine translation system. In additio...
Mei Yang, Jing Zheng
118
Voted
ACL
2012
13 years 6 months ago
Deciphering Foreign Language by Combining Language Models and Context Vectors
In this paper we show how to train statistical machine translation systems on reallife tasks using only non-parallel monolingual data from two languages. We present a modificatio...
Malte Nuhn, Arne Mauser, Hermann Ney
125
Voted
EMNLP
2008
15 years 5 months ago
A Simple and Effective Hierarchical Phrase Reordering Model
While phrase-based statistical machine translation systems currently deliver state-of-theart performance, they remain weak on word order changes. Current phrase reordering models ...
Michel Galley, Christopher D. Manning