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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

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 &quot;Text-Only&quot; 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 &quot;multimodal translation&quot; task.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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

  • e-ISSN

  • 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