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NAACL
2003
15 years 2 months ago
Cognates Can Improve Statistical Translation Models
We report results of experiments aimed at improving the translation quality by incorporating the cognate information into translation models. The results confirm that the cognate...
Grzegorz Kondrak, Daniel Marcu, Kevin Knight
130
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EMNLP
2007
15 years 2 months ago
Phrase Reordering Model Integrating Syntactic Knowledge for SMT
Reordering model is important for the statistical machine translation (SMT). Current phrase-based SMT technologies are good at capturing local reordering but not global reordering...
Dongdong Zhang, Mu Li, Chi-Ho Li, Ming Zhou
94
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EMNLP
2007
15 years 2 months ago
A Sequence Alignment Model Based on the Averaged Perceptron
We describe a discriminatively trained sequence alignment model based on the averaged perceptron. In common with other approaches to sequence modeling using perceptrons, and in co...
Dayne Freitag, Shahram Khadivi
EMNLP
2008
15 years 2 months ago
Improved Sentence Alignment on Parallel Web Pages Using a Stochastic Tree Alignment Model
Parallel web pages are important source of training data for statistical machine translation. In this paper, we present a new approach to sentence alignment on parallel web pages....
Lei Shi, Ming Zhou
96
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ACL
2008
15 years 2 months ago
Combining Multiple Resources to Improve SMT-based Paraphrasing Model
This paper proposes a novel method that exploits multiple resources to improve statistical machine translation (SMT) based paraphrasing. In detail, a phrasal paraphrase table and ...
Shiqi Zhao, Cheng Niu, Ming Zhou, Ting Liu, Sheng ...