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Domain adaptation of MT systems through automatic post-editing
| Content Provider | Semantic Scholar |
|---|---|
| Author | Isabelle, Pierre Goutte, Cyril Simard, Michel |
| Copyright Year | 2007 |
| Abstract | It is generally acknowledged that the performance of rulebased 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 postediting. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.mt-archive.info/MTS-2007-Isabelle.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
