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Conference Paper
Improving a Japanese-Spanish machine translation system using Wikipedia medical articles
Ramírez Vidal, Jessica C.
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Matsumoto, Y.
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Muñoz N., Darwin C.
| Fecha de publicación | DOI |
2015 |
Resumen
The quality, length and coverage of a parallel corpus are fundamental features in the performance of a Statistical Machine Translation System (SMT). For some pair of languages there is a considerable lack of resources suitable for Natural Language Processing tasks. This paper introduces a technique for extracting medical information from the Wikipedia page. Using a medical ontological dictionary and then we evaluate on a Japanese-Spanish SMT system. The study shows an increment in the BLEU score.