Domain Adaptation of MT Systems Through Automatic Post-Editing

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ConferenceMachine Translation Summit XI, September 10-14, 2007., Copenhagen, Denmark
AbstractIt is generally acknowledged that the performance of rule-based machine translation (RMBT) systems can be greatly improved through domain-specific system adaptation. To that end, RBMT users often choose to invest significant resources into the development of ad hoc MT dictionaries. In this paper, we demonstrate that comparable customization effects can be achieved automatically. One effective way to do that is to post-edit the translations produced by a vanilla RBMT system using a specially-trained statistical machine translation (SMT) system. Our experiments indicate that this method is just as effective as manual customization of system dictionaries in reducing the need for manual post-editing.
Publication date
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number49883
NPARC number8913831
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Record identifierc941bc66-9dbe-495d-af7e-039c82873e21
Record created2009-04-22
Record modified2016-05-09
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