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English-Czech Systems in WMT19: Document-Level Transformer

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10405597" target="_blank" >RIV/00216208:11320/19:10405597 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.statmt.org/wmt19/pdf/53/WMT37.pdf" target="_blank" >http://www.statmt.org/wmt19/pdf/53/WMT37.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    English-Czech Systems in WMT19: Document-Level Transformer

  • Original language description

    We describe our NMT systems submitted to the WMT19 shared task in EnglishRIGHTWARDS ARROWCzech news translation. Our systems are based on the Transformer model implemented in either Tensor2Tensor (T2T) or Marian framework. We aimed at improving the adequacy and coherence of translated documents by enlarging the context of the source and target. Instead of translating each sentence independently, we split the document into possibly overlapping multi-sentence segments. In case of the T2T implementation, this &quot;document-level&quot;-trained system achieves a +0.6 BLEU improvement (p &lt; 0.05) relative to the same system applied on isolated sentences. To assess the potential effect document-level models might have on lexical coherence, we performed a semi-automatic analysis, which revealed only a few sentences improved in this aspect. Thus, we cannot draw any conclusions from this week evidence.

  • 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

    342-348

  • 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