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        <title>The State of the Machine Translation 2022</title>
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            <title>Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas (Volume 2: Users and Providers Track and Government Track)</title>
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        <name type="personal">
            <namePart type="given">Janice</namePart>
            <namePart type="family">Campbell</namePart>
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            <namePart type="given">Stephen</namePart>
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            <namePart type="given">Jay</namePart>
            <namePart type="family">Marciano</namePart>
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    <abstract>In this talk, we cover the 2022 annual report on State of the Machine Translation, prepared together by Intento and e2f. The report analyses the performance of 20+ commercial MT engines across 9 industries (General, Colloquial, Education, Entertainment, Financial, Healthcare, Hospitality, IT, and Legal) and 10+ key language pairs. For the first time, this report is run using a unique dataset covering all language/domain combinations above, prepared by e2f. The presentation would focus on the process of data selection and preparation, the report methodology, principal scores to rely on when studying MT outcomes (COMET, BERTScore, PRISM, TER, and hLEPOR), and the main report outcomes (best performing MT engines for every language / domain combination). It includes a thorough comparison of the scores. It also covers language support, prices, and other features of the MT engines.</abstract>
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%0 Conference Proceedings
%T The State of the Machine Translation 2022
%A Savenkov, Konstantin
%A Lopez, Michel
%Y Campbell, Janice
%Y Larocca, Stephen
%Y Marciano, Jay
%Y Savenkov, Konstantin
%Y Yanishevsky, Alex
%S Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas (Volume 2: Users and Providers Track and Government Track)
%D 2022
%8 September
%I Association for Machine Translation in the Americas
%C Orlando, USA
%F savenkov-lopez-2022-state
%X In this talk, we cover the 2022 annual report on State of the Machine Translation, prepared together by Intento and e2f. The report analyses the performance of 20+ commercial MT engines across 9 industries (General, Colloquial, Education, Entertainment, Financial, Healthcare, Hospitality, IT, and Legal) and 10+ key language pairs. For the first time, this report is run using a unique dataset covering all language/domain combinations above, prepared by e2f. The presentation would focus on the process of data selection and preparation, the report methodology, principal scores to rely on when studying MT outcomes (COMET, BERTScore, PRISM, TER, and hLEPOR), and the main report outcomes (best performing MT engines for every language / domain combination). It includes a thorough comparison of the scores. It also covers language support, prices, and other features of the MT engines.
%U https://aclanthology.org/2022.amta-upg.4
%P 32-49

Markdown (Informal)

[The State of the Machine Translation 2022](https://aclanthology.org/2022.amta-upg.4) (Savenkov & Lopez, AMTA 2022)

• The State of the Machine Translation 2022 (Savenkov & Lopez, AMTA 2022)

ACL

• Konstantin Savenkov and Michel Lopez. 2022. The State of the Machine Translation 2022. In Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas (Volume 2: Users and Providers Track and Government Track), pages 32–49, Orlando, USA. Association for Machine Translation in the Americas.