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Master Thesis

Évaluation de solutions de traduction pour les services Semantia

Abstract : The domain of the machine translation does not offer perfect tools, but they can be useful to understand the general sense of a text. They are generally more successful when texts deal with a specific domain. The knowledge bases of Semantia are designed for a predefined domain. We are wondering how to adapt a knowledge base to the other languages. Two solutions were envisaged and are going to be tested. We can arrange several knowledge bases and each of them will correspond to a language, or we can use a machine translation system with a single knowledge base.
Document type :
Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-00677687
Contributor : UGA - LLASIC Sciences du langage & FLES Connect in order to contact the contributor
Submitted on : Friday, March 9, 2012 - 11:21:37 AM
Last modification on : Sunday, March 14, 2021 - 9:54:03 PM
Long-term archiving on: : Thursday, June 14, 2012 - 5:37:46 PM

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  • HAL Id : dumas-00677687, version 1

Citation

Lucile Paroz. Évaluation de solutions de traduction pour les services Semantia. Linguistique. 2010. ⟨dumas-00677687⟩

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