Idiap NMT System for WAT 2019 Multi-Modal Translation Task
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10424426" target="_blank" >RIV/00216208:11320/19:10424426 - isvavai.cz</a>
Result on the web
<a href="https://www.aclweb.org/anthology/D19-5223.pdf" target="_blank" >https://www.aclweb.org/anthology/D19-5223.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Idiap NMT System for WAT 2019 Multi-Modal Translation Task
Original language description
This paper describes the Idiap submission to WAT 2019 for the English-Hindi MultiModal Translation Task. We have used the state-of-the-art Transformer model and utilized the IITB English-Hindi parallel corpus as an additional data source. Among the different tracks of the multimodal task, we have participated in the "Text-Only" track for the evaluation and challenge test sets. Our submission tops in its track among the competitors in terms of both automatic and manual evaluation. Based on automatic scores, our text-only submission also outperforms systems that consider visual information in the "multimodal translation" task.
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
ISBN
978-1-950737-90-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
175-180
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Hong Kong, China
Event date
Nov 3, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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