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2009
Springer

Enhancing the Bilingual Concordancer TransSearch with Word-Level Alignment

10 years 6 months ago
Enhancing the Bilingual Concordancer TransSearch with Word-Level Alignment
Despite the impressive amount of recent studies devoted to improving the state of the art of Machine Translation (MT), Computer Assisted Translation (CAT) tools remain the preferred solution of human translators when publication quality is of concern. In this paper, we present our perspectives on improving the commercial bilingual concordancer TransSearch, a Web-based service whose core technology mainly relies on sentence-level alignment. We report on experiments which show that it can greatly benefit from statistical word-level alignment.
Julien Bourdaillet, Stéphane Huet, Fabrizio
Added 25 May 2010
Updated 25 May 2010
Type Conference
Year 2009
Where AI
Authors Julien Bourdaillet, Stéphane Huet, Fabrizio Gotti, Guy Lapalme, Philippe Langlais
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