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  • 标题:Improving a Japanese-Spanish Machine Translation System Using Wikipedia Medical Articles
  • 本地全文:下载
  • 作者:Jessica C. Ramírez ; Yuji Matsumoto ; Darwin Muñoz
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2015
  • 卷号:5
  • 期号:4
  • 页码:111-116
  • DOI:10.5121/csit.2015.50411
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:The quality, length and coverage of a parallel corpus are fundamental features in theperformance of a Statistical Machine Translation System (SMT). For some pair of languagesthere is a considerable lack of resources suitable for Natural Language Processing tasks. Thispaper introduces a technique for extracting medical information from the Wikipedia page.Using a medical ontological dictionary and then we evaluate on a Japanese-Spanish SMTsystem. The study shows an increment in the BLEU score.
  • 关键词:Comparable Corpora; Dictionary; Ontology; Machine Translation
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