Collaborative Machine Translation Service for Scientific texts
Abstract
French researchers are required to fre- quently translate into French the descrip- tion of their work published in English. At the same time, the need for French people to access articles in English, or to interna- tional researchers to access theses or pa- pers in French, is incorrectly resolved via the use of generic translation tools. We propose the demonstration of an end-to-end tool integrated in the HAL open archive for enabling efficient translation for scientific texts. This tool can give translation sugges- tions adapted to the scientific domain, im- proving by more than 10 points the BLEU score of a generic system. It also provides a post-edition service which captures user post-editing data that can be used to incre- mentally improve the translations engines. Thus it is helpful for users which need to translate or to access scientific texts.
Origin : Files produced by the author(s)
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