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Communication Dans Un Congrès Année : 2016

Translation Quality Evaluation of MWEs from French into English using an SMT system

Résumé

Nowadays, Statistical Machine Translation (SMT) is widely available. Nevertheless, using Machine Translation at its best is not an easy task. Structures appearing sporadically trigger most of the regular mistakes of SMT systems. We work on one of those structures: the MultiWord Expressions (MWE). Our study aims at evaluating the quality of MWE translation obtained using SMT. Firstly, we present the process of our quality evaluation of the English translation got via an SMT system created using Moses Toolkit (Koehn et al., 2007), of one French technical document. On the French document, MWE have been semi-automatically annotated according to their type (Tutin et al., 2015). Secondly, we describe the linguistic criteria of Vilar's classification of translation errors (Vilar et al. 2006) as well as the adaptation we had to perform to use Blast (Stymne, 2011). Thirdly, we analyse the global results of our quality evaluation before going into details, in our fourth part, on one particular type of MWE, which is the Full Phraseme one. We finally show that most of the French MWE are translated into English MWE, and that we need to implement in further work a collaborative error annotation tool.
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Dates et versions

hal-01449628 , version 1 (30-01-2017)

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  • HAL Id : hal-01449628 , version 1

Citer

Emmanuelle Esperança-Rodier, Johan Didier. Translation Quality Evaluation of MWEs from French into English using an SMT system. Translating and the Computer 38, ASLING, Nov 2016, London, United Kingdom. ⟨hal-01449628⟩
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