A Framework for Discriminative Rule Selection in Hierarchical Moses
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10335452" target="_blank" >RIV/00216208:11320/16:10335452 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Framework for Discriminative Rule Selection in Hierarchical Moses
Original language description
We propose two contributions to discriminative rule selection in hierarchical machine translation. First, we test previous approaches on two French-English translation tasks in domains for which only limited resources are available and show that they fail to improve translation quality. To improve on such tasks, we propose a rule selection model that is (i) global with rich label-dependent features (ii) trained with all available negative samples. Our global model yields significant improvements, up to 1 BLEU point, over previously proposed rule selection models.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
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
10
Pages from-to
92-101
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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