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CUNI Submission for Low-Resource Languages in WMT News 2019

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10405573" target="_blank" >RIV/00216208:11320/19:10405573 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.statmt.org/wmt19/pdf/53/WMT22.pdf" target="_blank" >http://www.statmt.org/wmt19/pdf/53/WMT22.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    CUNI Submission for Low-Resource Languages in WMT News 2019

  • Original language description

    This paper describes the CUNI submission to the WMT 2019 News Translation Shared Task for the low-resource languages: GujaratiEnglish and Kazakh-English. We participated in both language pairs in both translation directions. Our system combines transfer learning from a different high-resource language pair followed by training on backtranslated monolingual data. Thanks to the simultaneous training in both directions, we can iterate the backtranslation process. We are using the Transformer model in a constrained submission.

  • 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

    Fourth Conference on Machine Translation - Proceedings of the Conference

  • ISBN

    978-1-950737-27-7

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    234-240

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Stroudsburg, PA, USA

  • Event location

    Firenze, Italy

  • Event date

    Aug 1, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article