Findings of the 2022 Conference on Machine Translation (WMT22) - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2022

Findings of the 2022 Conference on Machine Translation (WMT22)

Tom Kocmi
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Anton Dvorkovich
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Mark Fishel
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Mariya Shmatova
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Abstract

This paper presents the results of the General Machine Translation Task organised as part of the Conference on Machine Translation (WMT) 2022. In the general MT task, participants were asked to build machine translation systems for any of 11 language pairs, to be evaluated on test sets consisting of four different domains. We evaluate system outputs with human annotators using two different techniques: reference-based direct assessment and (DA) and a combination of DA and scalar quality metric (DA+SQM).
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Dates and versions

hal-03932367 , version 1 (10-01-2023)

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  • HAL Id : hal-03932367 , version 1

Cite

Tom Kocmi, Rachel Bawden, Ondřej Bojar, Anton Dvorkovich, Christian Federmann, et al.. Findings of the 2022 Conference on Machine Translation (WMT22). WMT 2022 - Seventh Conference on Machine Translation, Dec 2022, Abu Dhabi, United Arab Emirates. ⟨hal-03932367⟩
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