CUNI Submission in WMT17: Chimera Goes Neural
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10372142" target="_blank" >RIV/00216208:11320/17:10372142 - 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
CUNI Submission in WMT17: Chimera Goes Neural
Original language description
This paper describes the neural and phrase-based machine translation systems submitted by CUNI to English-Czech News Translation Task of WMT17. We experiment with synthetic data for training and try several system combination techniques, both neural and phrase-based. Our primary submission CU-CHIMERA ends up being phrase-based backbone which incorporates neural and deep-syntactic candidate translations.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_013%2F0001781" target="_blank" >EF16_013/0001781: LINDAT/CLARIN - Research infrastructure for language technologies - extension of the repository and its computational power</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
Others
Publication year
2017
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 Second Conference on Machine Translation, Volume 2: Shared Task Papers
ISBN
978-1-945626-96-8
ISSN
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e-ISSN
neuvedeno
Number of pages
9
Pages from-to
248-256
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
København, Denmark
Event date
Sep 7, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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