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文章基本信息

  • 标题:Addressing Problems across Linguistic Levels inSMT: Combining Approaches to Model Morphology, Syntax and Lexical Choice
  • 本地全文:下载
  • 作者:Marion Weller-Di Marco ; Alexander Fraser ; Sabine Schulte im Walde
  • 期刊名称:Conference on European Chapter of the Association for Computational Linguistics (EACL)
  • 出版年度:2017
  • 卷号:2017
  • 页码:625-630
  • 语种:English
  • 出版社:ACL Anthology
  • 摘要:Many errors in phrase-based SMT can be attributed to problems on three linguistic levels: morphological complexity in the target language, structural differences and lexical choice. We explore combinations of linguistically motivated approaches to address these problems in English-to-German SMT and show that they are complementary to one another, but also that the popular verbal pre-ordering can cause problems on the morphological and lexical level. A discriminative classifier can overcome these problems, in particular when enriching standard lexical features with features geared towards verbal inflection.
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