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113
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MT
2006
106views more  MT 2006»
15 years 2 months ago
Example-based machine translation based on tree-string correspondence and statistical generation
Abstract. This paper describes an example-based machine translation (EBMT) method based on tree-string correspondence (TSC) and statistical generation. In this method, the translat...
Zhan-yi Liu, Haifeng Wang, Hua Wu
90
Voted
EMNLP
2007
15 years 4 months ago
Online Large-Margin Training for Statistical Machine Translation
We achieved a state of the art performance in statistical machine translation by using a large number of features with an online large-margin training algorithm. The millions of p...
Taro Watanabe, Jun Suzuki, Hajime Tsukada, Hideki ...
93
Voted
EMNLP
2006
15 years 4 months ago
SPMT: Statistical Machine Translation with Syntactified Target Language Phrases
We introduce SPMT, a new class of statistical Translation Models that use Syntactified target language Phrases. The SPMT models outperform a state of the art phrase-based baseline...
Daniel Marcu, Wei Wang, Abdessamad Echihabi, Kevin...
126
Voted
ACL
2010
15 years 18 days ago
Improving Statistical Machine Translation with Monolingual Collocation
This paper proposes to use monolingual collocations to improve Statistical Machine Translation (SMT). We make use of the collocation probabilities, which are estimated from monoli...
Zhan-yi Liu, Haifeng Wang, Hua Wu, Sheng Li
ACL
2007
15 years 4 months ago
Word Sense Disambiguation Improves Statistical Machine Translation
Recent research presents conflicting evidence on whether word sense disambiguation (WSD) systems can help to improve the performance of statistical machine translation (MT) syste...
Yee Seng Chan, Hwee Tou Ng, David Chiang