Findings of the 2020 Conference on Machine Translation (WMT20)

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10424436" target="_blank" >RIV/00216208:11320/20:10424436 - isvavai.cz</a>

Result on the web

<a href="http://www.statmt.org/wmt20/pdf/2020.wmt-1.1.pdf" target="_blank" >http://www.statmt.org/wmt20/pdf/2020.wmt-1.1.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Findings of the 2020 Conference on Machine Translation (WMT20)

Original language description

This paper presents the results of the news translation task and the similar language translation task, both organised alongside the Conference on Machine Translation (WMT) 2020. In the news task, participants were asked to build machine translation systems for any of 11 language pairs, to be evaluated on test sets consisting mainly of news stories. The task was also opened up to additional test suites to probe specific aspects of translation. In the similar language translation task, participants built machine translation systems for translating between closely related pairs of languages.

Czech name

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Czech description

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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)

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)

Publication year

2020

Confidentiality

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

Article name in the collection

Fifth Conference on Machine Translation - Proceedings of the Conference

ISBN

978-1-948087-81-0

ISSN

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e-ISSN

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Number of pages

55

Pages from-to

1-55

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

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