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NAACL
2004
13 years 9 months ago
Minimum Bayes-Risk Decoding for Statistical Machine Translation
We present Minimum Bayes-Risk (MBR) decoding for statistical machine translation. This statistical approach aims to minimize expected loss of translation errors under loss functio...
Shankar Kumar, William J. Byrne
ACL
2010
13 years 5 months ago
Error Detection for Statistical Machine Translation Using Linguistic Features
Automatic error detection is desired in the post-processing to improve machine translation quality. The previous work is largely based on confidence estimation using system-based ...
Deyi Xiong, Min Zhang, Haizhou Li
ACL
2007
13 years 9 months ago
Bootstrapping Word Alignment via Word Packing
We introduce a simple method to pack words for statistical word alignment. Our goal is to simplify the task of automatic word alignment by packing several consecutive words togeth...
Yanjun Ma, Nicolas Stroppa, Andy Way
EMNLP
2009
13 years 5 months ago
Weighted Alignment Matrices for Statistical Machine Translation
Current statistical machine translation systems usually extract rules from bilingual corpora annotated with 1-best alignments. They are prone to learn noisy rules due to alignment...
Yang Liu, Tian Xia, Xinyan Xiao, Qun Liu
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...