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Special Issue of the Machine Translation journal: Natural Language Processing for Translation Memories

Guest editors:

  • Constantin Orasan (University of Wolverhampton, UK)
  • Marcello Federico (FBK, Italy)

Submission deadline: May 15, 2016

1. Call For Papers

Translation Memories (TM) are amongst the most widely used tools by professional translators. The underlying idea of TMs is that a translator should benefit as much as possible from previous translations by being able to retrieve the way in which a similar sentence was translated before. Moreover, the usage of TMs aims to guarantee that new translations follow the client’s specified style and terminology. Despite the fact that the core idea of these systems relies on comparing segments (typically of sentence length) from the document to be translated with segments from previous translations, most of the existing TM systems hardly use any language processing for this. Instead of addressing this issue, most of the work on translation memories focused on improving the user experience by allowing processing of a variety of document formats, intuitive user interfaces, etc. Continue reading