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        <title>CUNI at WMT23 General Translation Task: MT and a Genetic Algorithm</title>
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        <namePart type="given">Josef</namePart>
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            <title>Proceedings of the Eighth Conference on Machine Translation</title>
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            <namePart type="given">Philipp</namePart>
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    <abstract>This paper presents the contributions of Charles University teams to the WMT23 General translation task (English to Czech and Czech to Ukrainian translation directions). Our main submission, CUNI-GA, is a result of applying a novel n-best list reranking and modification method on translation candidates produced by the two other submitted systems, CUNI-Transformer and CUNI-DocTransformer (document-level translation only used for the en \rightarrow cs direction). Our method uses a genetic algorithm and MBR decoding to search for optimal translation under a given metric (in our case, a weighted combination of ChrF, BLEU, COMET22-DA, and COMET22-QE-DA). Our submissions are first in the constrained track and show competitive performance against top-tier unconstrained systems across various automatic metrics.</abstract>
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    <identifier type="doi">10.18653/v1/2023.wmt-1.8</identifier>
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%0 Conference Proceedings
%T CUNI at WMT23 General Translation Task: MT and a Genetic Algorithm
%A Jon, Josef
%A Popel, Martin
%A Bojar, Ondřej
%Y Koehn, Philipp
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Monz, Christof
%S Proceedings of the Eighth Conference on Machine Translation
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F jon-etal-2023-cuni
%X This paper presents the contributions of Charles University teams to the WMT23 General translation task (English to Czech and Czech to Ukrainian translation directions). Our main submission, CUNI-GA, is a result of applying a novel n-best list reranking and modification method on translation candidates produced by the two other submitted systems, CUNI-Transformer and CUNI-DocTransformer (document-level translation only used for the en \rightarrow cs direction). Our method uses a genetic algorithm and MBR decoding to search for optimal translation under a given metric (in our case, a weighted combination of ChrF, BLEU, COMET22-DA, and COMET22-QE-DA). Our submissions are first in the constrained track and show competitive performance against top-tier unconstrained systems across various automatic metrics.
%R 10.18653/v1/2023.wmt-1.8
%U https://aclanthology.org/2023.wmt-1.8
%U https://doi.org/10.18653/v1/2023.wmt-1.8
%P 119-127

Markdown (Informal)

[CUNI at WMT23 General Translation Task: MT and a Genetic Algorithm](https://aclanthology.org/2023.wmt-1.8) (Jon et al., WMT 2023)

• CUNI at WMT23 General Translation Task: MT and a Genetic Algorithm (Jon et al., WMT 2023)

ACL

• Josef Jon, Martin Popel, and Ondřej Bojar. 2023. CUNI at WMT23 General Translation Task: MT and a Genetic Algorithm. In Proceedings of the Eighth Conference on Machine Translation, pages 119–127, Singapore. Association for Computational Linguistics.