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Results of the WMT20 Metrics Shared Task

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10424478" target="_blank" >RIV/00216208:11320/20:10424478 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.statmt.org/wmt20/pdf/2020.wmt-1.77.pdf" target="_blank" >http://www.statmt.org/wmt20/pdf/2020.wmt-1.77.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Results of the WMT20 Metrics Shared Task

  • Original language description

    This paper presents the results of the WMT20 Metrics Shared Task. Participants were asked to score the outputs of the translation systems competing in the WMT20 News Translation Task with automatic metrics. Ten research groups submitted 27 metrics, four of which are reference-less &quot;metrics&quot;. In addition, we computed five baseline metrics, including SENT BLEU, BLEU, TER and CHR F using the SacreBLEU scorer. All metrics were evaluated on how well they correlate at the system-, document- and segment-level with the WMT20 official human scores. We present an extensive analysis on influence of reference translations on metric reliability, how well automatic metrics score human trans- lations, and we also flag major discrepancies between metric and human scores when eval- uating MT systems. Finally, we investigate whether we can use automatic metrics to flag incorrect human ratings.

  • 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

    <a href="/en/project/GX19-26934X" target="_blank" >GX19-26934X: Neural Representations in Multi-modal and Multi-lingual Modeling</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Fifth Conference on Machine Translation - Proceedings of the Conference

  • ISBN

    978-1-948087-81-0

  • ISSN

  • e-ISSN

  • Number of pages

    38

  • Pages from-to

    688-725

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Stroudsburg, PA, USA

  • Event location

    Online

  • Event date

    Nov 19, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article