Expanding Translation Memories: Proposal and Evaluation of Several Methods

نویسندگان

  • Vít Baisa
  • Josef Busta
  • Ales Horák
چکیده

Translation memories used in Computer-aided translation (CAT) systems are the highest-quality resources of parallel texts since they are carefully prepared and checked by professional human translators. On the other hand, they are quite small when compared with other parallel data sources. In this paper, we propose several methods for expanding translation memories using both language-independent and languagespecific, linguistically motivated approaches with regard to preserving their high translational accuracy. We first briefly describe the methods and then we provide a detailed description and preliminary evaluation for two of them.

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تاریخ انتشار 2013