| Download | - View accepted manuscript: Domain adaptation of mt systems through automatic post-editing (PDF, 268 KiB)
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| Author | Search for: Isabelle, Pierre1; Search for: Goutte, Cyril1; Search for: Simard, Michel1 |
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| Affiliation | - National Research Council of Canada. NRC Institute for Information Technology
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| Format | Text, Article |
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| Conference | Machine Translation Summit XI, September 10-14, 2007., Copenhagen, Denmark |
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| Abstract | It 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. |
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| Publication date | 2007 |
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| In | |
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| Language | English |
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| NRC number | NRCC 49883 |
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| NPARC number | 8913831 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | c941bc66-9dbe-495d-af7e-039c82873e21 |
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| Record created | 2009-04-22 |
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| Record modified | 2020-05-10 |
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