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WeMiT: Web-Mining for Translation

Abstract : The quality of machine translation is often dependent on the quality of lexical transfer from a source language to a target language. In this work we present an automatic method to translate specialized terms. The proposed approach is based on two steps: (1) extraction of candidates for translation into web pages, (2) identification of the most relevant candidates by using web-mining techniques.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00723563
Contributor : Mathieu Roche <>
Submitted on : Friday, August 10, 2012 - 6:07:23 PM
Last modification on : Thursday, May 24, 2018 - 3:59:23 PM
Long-term archiving on: : Sunday, November 11, 2012 - 2:30:08 AM

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  • HAL Id : lirmm-00723563, version 1

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Mathieu Roche, Oana Mihaela Garbasevschi. WeMiT: Web-Mining for Translation. Conference on Prestigious Applications of Intelligent Systems, Montpellier, France. pp.993-994. ⟨lirmm-00723563⟩

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