Findings of the 2021 Conference on Machine Translation (WMT21)

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10440476" target="_blank" >RIV/00216208:11320/21:10440476 - isvavai.cz</a>

Result on the web

<a href="https://aclanthology.org/2021.wmt-1.1.pdf" target="_blank" >https://aclanthology.org/2021.wmt-1.1.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Findings of the 2021 Conference on Machine Translation (WMT21)

Original language description

This paper presents the results of the news translation task, the multilingual low-resource translation for Indo-European languages, the triangular translation task, and the automatic post-editing task organised as part of the Conference on Machine Translation (WMT) 2021. In the news task, participants were asked to build machine translation systems for any of 10 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 (SLT) task, participants were asked to develop systems to translate between pairs of similar languages from the Dravidian and Romance family as well as French to two sim- ilar low-resource Manding languages (Bambara and Maninka). In the Triangular MT translation task, participants were asked to build a Russian to Chinese translator, given parallel data in Russian-Chinese, Russian- English and English-Chinese. In the mul- tilingual low

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

2021

Confidentiality

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

Article name in the collection

Proceedings of the Sixth Conference on Machine Translation

ISBN

978-1-954085-94-7

ISSN

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e-ISSN

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Number of pages

88

Pages from-to

1-88

Publisher name

Association for Computational Linguistics

Place of publication

Online

Event location

Online

Event date

Nov 10, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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