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Dynamic Translation Memory: Using Statistical Machine Translation to improve Translation Memory Fuzzy Matches

By Roberto Savelli

I came across this interesting paper by Ergun Biçici 1 and Marc Dymetman. In short:

The paper proposes to perform this automation in the following  way: a phrase-based Statistical Machine  Translation  (SMT)  system (trained on  a  bilingual  corpus  in the same domain as the TM) is combined with the TM fuzzy match, by extracting from the fuzzy-match a large (possibly gapped) bi-phrase that is dynamically added to the usual set of “static” bi-phrases used for  decoding the source.

Here is the download link





Related posts:

  1. Interesting article on Google’s machine translation system published on “Thoughts on Translation” blog
  2. Global Watchtower – Article on rule-based machine translation
  3. TranSphere hybrid machine translation system for Windows

September 2nd, 2010 | by Roberto Savelli | Leave a comment |

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