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ACL
2012
11 years 10 months ago
Improving the IBM Alignment Models Using Variational Bayes
Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We appl...
Darcey Riley, Daniel Gildea
LREC
2008
90views Education» more  LREC 2008»
13 years 9 months ago
Word Alignment Annotation in a Japanese-Chinese Parallel Corpus
Parallel corpora are critical resources for machine translation research and development since parallel corpora contain translation equivalences of various granularities. Manual a...
Yujie Zhang, Zhulong Wang, Kiyotaka Uchimoto, Qing...
EMNLP
2009
13 years 5 months ago
Lattice-based System Combination for Statistical Machine Translation
Current system combination methods usually use confusion networks to find consensus translations among different systems. Requiring one-to-one mappings between the words in candid...
Yang Feng, Yang Liu, Haitao Mi, Qun Liu, Yajuan L&...
ACL
2006
13 years 9 months ago
A Clustered Global Phrase Reordering Model for Statistical Machine Translation
In this paper, we present a novel global reordering model that can be incorporated into standard phrase-based statistical machine translation. Unlike previous local reordering mod...
Masaaki Nagata, Kuniko Saito, Kazuhide Yamamoto, K...
ACL
2003
13 years 9 months ago
A Comparative Study on Reordering Constraints in Statistical Machine Translation
In statistical machine translation, the generation of a translation hypothesis is computationally expensive. If arbitrary wordreorderings are permitted, the search problem is NP-h...
Richard Zens, Hermann Ney