Maximum likelihood alignment of translation equivalents

Authors:
Saba Amsalu
Affiliations:
Universität bielefeld, Germany
Venue:
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
Year:
2006

Citing 5
Cited 0

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Abstract

We describe a corpus-informed lexical acquisition procedure based on maximum likelihood estimate of translations. The most likely translation words in singleton parallel sentences are determined by the measure of the similarity of their distribution in the entire corpus. The results show that for the recall level obtained our procedure is quite efficient.