Preliminary Ranking of WMT25 General Machine Translation Systems

Fuente: arXiv
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Main Authors: Kocmi, Tom, Avramidis, Eleftherios, Bawden, Rachel, Bojar, Ondřej, Dranch, Konstantin, Dvorkovich, Anton, Dukanov, Sergey, Fedorova, Natalia, Fishel, Mark, Freitag, Markus, Gowda, Thamme, Grundkiewicz, Roman, Haddow, Barry, Karpinska, Marzena, Koehn, Philipp, Lakougna, Howard, Lundin, Jessica, Murray, Kenton, Nagata, Masaaki, Perrella, Stefano, Proietti, Lorenzo, Popel, Martin, Popović, Maja, Riley, Parker, Shmatova, Mariya, Steingrímsson, Steinþór, Yankovskaya, Lisa, Zouhar, Vilém
Format: Preprint
Published: 2025
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author Kocmi, Tom
Avramidis, Eleftherios
Bawden, Rachel
Bojar, Ondřej
Dranch, Konstantin
Dvorkovich, Anton
Dukanov, Sergey
Fedorova, Natalia
Fishel, Mark
Freitag, Markus
Gowda, Thamme
Grundkiewicz, Roman
Haddow, Barry
Karpinska, Marzena
Koehn, Philipp
Lakougna, Howard
Lundin, Jessica
Murray, Kenton
Nagata, Masaaki
Perrella, Stefano
Proietti, Lorenzo
Popel, Martin
Popović, Maja
Riley, Parker
Shmatova, Mariya
Steingrímsson, Steinþór
Yankovskaya, Lisa
Zouhar, Vilém
author_facet Kocmi, Tom
Avramidis, Eleftherios
Bawden, Rachel
Bojar, Ondřej
Dranch, Konstantin
Dvorkovich, Anton
Dukanov, Sergey
Fedorova, Natalia
Fishel, Mark
Freitag, Markus
Gowda, Thamme
Grundkiewicz, Roman
Haddow, Barry
Karpinska, Marzena
Koehn, Philipp
Lakougna, Howard
Lundin, Jessica
Murray, Kenton
Nagata, Masaaki
Perrella, Stefano
Proietti, Lorenzo
Popel, Martin
Popović, Maja
Riley, Parker
Shmatova, Mariya
Steingrímsson, Steinþór
Yankovskaya, Lisa
Zouhar, Vilém
contents We present the preliminary rankings of machine translation (MT) systems submitted to the WMT25 General Machine Translation Shared Task, as determined by automatic evaluation metrics. Because these rankings are derived from automatic evaluation, they may exhibit a bias toward systems that employ re-ranking techniques, such as Quality Estimation or Minimum Bayes Risk decoding. The official WMT25 ranking will be based on human evaluation, which is more reliable and will supersede these results. The official WMT25 ranking will be based on human evaluation, which is more reliable and will supersede these results. The purpose of releasing these findings now is to assist task participants with their system description papers; not to provide final findings.
format Preprint
id arxiv_https___arxiv_org_abs_2508_14909
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Preliminary Ranking of WMT25 General Machine Translation Systems
Kocmi, Tom
Avramidis, Eleftherios
Bawden, Rachel
Bojar, Ondřej
Dranch, Konstantin
Dvorkovich, Anton
Dukanov, Sergey
Fedorova, Natalia
Fishel, Mark
Freitag, Markus
Gowda, Thamme
Grundkiewicz, Roman
Haddow, Barry
Karpinska, Marzena
Koehn, Philipp
Lakougna, Howard
Lundin, Jessica
Murray, Kenton
Nagata, Masaaki
Perrella, Stefano
Proietti, Lorenzo
Popel, Martin
Popović, Maja
Riley, Parker
Shmatova, Mariya
Steingrímsson, Steinþór
Yankovskaya, Lisa
Zouhar, Vilém
Computation and Language
We present the preliminary rankings of machine translation (MT) systems submitted to the WMT25 General Machine Translation Shared Task, as determined by automatic evaluation metrics. Because these rankings are derived from automatic evaluation, they may exhibit a bias toward systems that employ re-ranking techniques, such as Quality Estimation or Minimum Bayes Risk decoding. The official WMT25 ranking will be based on human evaluation, which is more reliable and will supersede these results. The official WMT25 ranking will be based on human evaluation, which is more reliable and will supersede these results. The purpose of releasing these findings now is to assist task participants with their system description papers; not to provide final findings.
title Preliminary Ranking of WMT25 General Machine Translation Systems
topic Computation and Language
url https://arxiv.org/abs/2508.14909