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» Improving IBM Word Alignment Model 1
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EMNLP
2010
14 years 7 months ago
It Depends on the Translation: Unsupervised Dependency Parsing via Word Alignment
We reveal a previously unnoticed connection between dependency parsing and statistical machine translation (SMT), by formulating the dependency parsing task as a problem of word a...
Samuel Brody
84
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EMNLP
2004
14 years 11 months ago
A New Approach for English-Chinese Named Entity Alignment
Traditional word alignment approaches cannot come up with satisfactory results for Named Entities. In this paper, we propose a novel approach using a maximum entropy model for nam...
Donghui Feng, Yajuan Lü, Ming Zhou
ACL
2003
14 years 11 months ago
A Probability Model to Improve Word Alignment
Word alignment plays a crucial role in statistical machine translation. Word-aligned corpora have been found to be an excellent source of translation-related knowledge. We present...
Colin Cherry, Dekang Lin
AMTA
2004
Springer
15 years 2 months ago
: Improving Domain-Specific Word Alignment with a General Bilingual Corpus
In conventional word alignment methods, some employ statistical models or statistical measures, which need large-scale bilingual sentencealigned training corpora. Others employ dic...
Hua Wu, Haifeng Wang
ACL
2007
14 years 11 months ago
Tailoring Word Alignments to Syntactic Machine Translation
Extracting tree transducer rules for syntactic MT systems can be hindered by word alignment errors that violate syntactic correspondences. We propose a novel model for unsupervise...
John DeNero, Dan Klein