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» Bayesian Word Alignment for Statistical Machine Translation
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ACL
2008
14 years 11 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
COLING
2002
14 years 9 months ago
Determining Recurrent Sound Correspondences by Inducing Translation Models
I present a novel approach to the determination of recurrent sound correspondences in bilingual wordlists. The idea is to relate correspondences between sounds in wordlists to tra...
Grzegorz Kondrak
77
Voted
EMNLP
2007
14 years 11 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
70
Voted
COLING
2010
14 years 4 months ago
An Empirical Study on Web Mining of Parallel Data
This paper1 presents an empirical approach to mining parallel corpora. Conventional approaches use a readily available collection of comparable, nonparallel corpora to extract par...
Gum-Won Hong, Chi-Ho Li, Ming Zhou, Hae-Chang Rim
70
Voted
COLING
2002
14 years 9 months ago
A Robust Cross-Style Bilingual Sentences Alignment Model
Most current sentence alignment approaches adopt sentence length and cognate as the alignment features; and they are mostly trained and tested in the documents with the same style...
Tz-Liang Kueng, Keh-Yih Su