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ACL
2000

A Maximum Entropy/Minimum Divergence Translation Model

13 years 5 months ago
A Maximum Entropy/Minimum Divergence Translation Model
I describe two methods for incorporating information about the relative positions of bilingual word pairs into a Maximum Entropy/Minimum Divergence translation model. The better of the two achieves over 40% lower test corpus perplexity than an equivalent combination of a trigram language model and the classical IBM translation model 2.
George F. Foster
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Where ACL
Authors George F. Foster
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