Convergence of Translation Memory and Statistical Machine Translation

Philipp Koehn, Jean Senellart

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present two methods that merge ideas from statistical machine translation (SMT) and translation memories (TM). We use a TM to retrieve matches for source segments, and replace the mismatched parts with instructions to an SMT system to fill in the gap. We show that for fuzzy matches of over 70%, one method outperforms both SMT and TM baselines.
Original languageEnglish
Title of host publicationProceedings of the Second Joint EM + ICNGL Workshop
Subtitle of host publicationBringing MT to the User: Research on Integrating MT in the Translation Industry (JEC '10)
EditorsVentisislav Zhechev
Place of PublicationDenver, CO
Pages21-31
Number of pages11
Publication statusPublished - 2010

Fingerprint

Dive into the research topics of 'Convergence of Translation Memory and Statistical Machine Translation'. Together they form a unique fingerprint.

Cite this