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NAACL
2001

Information-Based Machine Translation

11 years 2 months ago
Information-Based Machine Translation
This paper describes an approach to Machine Translation that places linguistic information at its foundation. The difficulty of translation from English to Japanese is illustrated with data that shows the influence of various linguistic contextual factors. Next, a method for natural language transfer is presented that integrates translation examples (represented as typed feature structures with source-target indices) with linguistic rules and constraints. The method has been implemented, and the results of an evaluation are presented.
Keiko Horiguchi
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where NAACL
Authors Keiko Horiguchi
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