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ACL
2012

Learning Better Rule Extraction with Translation Span Alignment

9 years 10 months ago
Learning Better Rule Extraction with Translation Span Alignment
This paper presents an unsupervised approach to learning translation span alignments from parallel data that improves syntactic rule extraction by deleting spurious word alignment links and adding new valuable links based on bilingual translation span correspondences. Experiments on Chinese-English translation demonstrate improvements over standard methods for tree-to-string and tree-to-tree translation.
Jingbo Zhu, Tong Xiao, Chunliang Zhang
Added 29 Sep 2012
Updated 29 Sep 2012
Type Journal
Year 2012
Where ACL
Authors Jingbo Zhu, Tong Xiao, Chunliang Zhang
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