Results of the WMT17 Neural MT Training Task
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10372141" target="_blank" >RIV/00216208:11320/17:10372141 - 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
Results of the WMT17 Neural MT Training Task
Original language description
This paper presents the results of the WMT17 Neural MT Training Task. The objective of this task is to explore the methods of training a fixed neural architecture, aiming primarily at the best translation quality and, as a secondary goal, shorter training time. Task participants were provided with a complete neural machine translation system, fixed training data and the configuration of the network. The translation was performed in the English-to-Czech direction and the task was divided into two subtasks of different configurations - one scaled to fit on a 4GB and another on an 8GB GPU card. We received 3 submissions for the 4GB variant and 1 submission for the 8GB variant; we provided also our run for each of the sizes and two baselines. We translated the test set with the trained models and evaluated the outputs using several automatic metrics. We also report results of the human evaluation of the submitted systems.
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/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
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
525-533
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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