A Discriminative Model for Semantics-to-String Translation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10318177" target="_blank" >RIV/00216208:11320/15:10318177 - 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 Discriminative Model for Semantics-to-String Translation
Original language description
We present a feature-rich discriminative model for machine translation which uses an abstract semantic representation on the source side. We include our model as an additional feature in a phrase-based decoder and we show modest gains in BLEU score in ann-best re-ranking experiment.
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
2015
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 1st Workshop on Semantics-Driven Statistical Machine Translation (S2MT 2015)
ISBN
978-1-941643-61-7
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
30-36
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Beijing, China
Event date
Jul 30, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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