Dictionary-based Domain Adaptation of MT Systems without Retraining

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10335518" target="_blank" >RIV/00216208:11320/16:10335518 - isvavai.cz</a>
Result on the web
<a href="http://www.statmt.org/wmt16/pdf/W16-2334.pdf" target="_blank" >http://www.statmt.org/wmt16/pdf/W16-2334.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Dictionary-based Domain Adaptation of MT Systems without Retraining
Original language description
We describe our submission to the IT-domain translation task of WMT 2016. We perform domain adaptation with dictionary data on already trained MT systems with no further retraining. We apply our approach to two conceptually different systems developed within the QTLeap project: TectoMT and Moses, as well as Chimera, their combination. In all settings, our method improves the translation quality. Moreover, the basic variant of our approach is applicable to any MT system, including a black-box one.
Czech name
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Czech description
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Project
<a href="/en/project/LM2015071" target="_blank" >LM2015071: Language Research Infrastructure in the Czech Republic</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the First Conference on Machine Translation (WMT). Volume 2: Shared Task Papers
ISBN
978-1-945626-10-4
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
449-455
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Berlin, Germany
Event date
Aug 11, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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