Tuning syntactically enhanced word alignment for statistical machine translation (2009)

by Yanjun Ma, Patrik Lambert, Andy Way
Venue:in Proceedings of the 13th Annual Meeting of the European Association for Machine Translation (EAMT 2009
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Web-Based Machine Translation

by Andy Way, Alex Clark, Chris Fox, This June , 2003
"... Abstract This chapter has two main aims: (i) to present the state-of-the-art in Machine Translation (MT), namely Phrase-Based Statistical MT, together with the major competing paradigms used in MT research and development today; and (ii) to provide an overview of the MT research carried out by my te ..."
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Abstract This chapter has two main aims: (i) to present the state-of-the-art in Machine Translation (MT), namely Phrase-Based Statistical MT, together with the major competing paradigms used in MT research and development today; and (ii) to provide an overview of the MT research carried out by my team here at DCU, characterised here in terms of ‘hybrid MT’. In addition, we provide our views on the directions that MT research might take in the near future, and conclude the chapter with lists of further reading for the interested reader.

Constrained Word Alignment Models for Statistical Machine Translation

by Yanjun Ma
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Alignment • Constraints and Correlations • Classes of Algorithms 16.3 Sentence Alignment.................................................. 378 Length-Based Sentence Alignment • Lexical Sentence Alignment • Cognate-Based Sentence Alignment • Multifeature S

by Dekai Wu
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