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» N-gram-based Machine Translation
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COLING
2010
14 years 4 months ago
Automatically Learning Source-side Reordering Rules for Large Scale Machine Translation
We describe an approach to automatically learn reordering rules to be applied as a preprocessing step in phrase-based machine translation. We learn rules for 8 different language ...
Dmitriy Genzel
60
Voted
EMNLP
2007
14 years 11 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
ACL
2010
14 years 7 months 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
2010
14 years 7 months ago
Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation
We explore how to improve machine translation systems by adding more translation data in situations where we already have substantial resources. The main challenge is how to buck ...
Michael Bloodgood, Chris Callison-Burch
67
Voted
EMNLP
2009
14 years 7 months ago
Improved Statistical Machine Translation for Resource-Poor Languages Using Related Resource-Rich Languages
We propose a novel language-independent approach for improving statistical machine translation for resource-poor languages by exploiting their similarity to resource-rich ones. Mo...
Preslav Nakov, Hwee Tou Ng