@inproceedings{steingrimsson-sigurdsson-2026-scoring,
title = "Scoring the Translation: On Target Automatic Keyword-Based Evaluation of Machine Translation in the Sports Domain",
author = "Steingr{\'i}msson, Stein{\th}{\'o}r and
Sigur{\dh}sson, Einar Freyr",
editor = "Piperidis, Stelios and
Bel, N{\'u}ria and
van den Heuvel, Henk and
Ide, Nancy and
Krek, Simon and
Toral, Antonio",
booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
month = may,
year = "2026",
address = "Palma de Mallorca, Spain",
publisher = "ELRA Language Resource Association",
url = "https://aclanthology.org/2026.lrec-1.697/",
doi = "10.63317/3ctpkpj58fwf",
pages = "8862--8871",
abstract = "We take a closer look at the results of a recent translation shared task at WMT 2025 (the Conference on Machine Translation) and analyse the errors in the output of the four highest-scoring systems. We revise the automatic evaluation method used in Sigur{\dh}sson et al. (2025) and compare it to manual evaluation of six machine translation systems. We find that our results are in line with the manual evaluation, indicating that the test suite can be well suited for evaluating machine translation in this domain. Finally, we publish a list of domain-specific sports terms, namely, in the domains of basketball, chess, football, golf and gymnastics."
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<abstract>We take a closer look at the results of a recent translation shared task at WMT 2025 (the Conference on Machine Translation) and analyse the errors in the output of the four highest-scoring systems. We revise the automatic evaluation method used in Sigur\dhsson et al. (2025) and compare it to manual evaluation of six machine translation systems. We find that our results are in line with the manual evaluation, indicating that the test suite can be well suited for evaluating machine translation in this domain. Finally, we publish a list of domain-specific sports terms, namely, in the domains of basketball, chess, football, golf and gymnastics.</abstract>
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%0 Conference Proceedings
%T Scoring the Translation: On Target Automatic Keyword-Based Evaluation of Machine Translation in the Sports Domain
%A Steingrímsson, Stein\thór
%A Sigur\dhsson, Einar Freyr
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F steingrimsson-sigurdsson-2026-scoring
%X We take a closer look at the results of a recent translation shared task at WMT 2025 (the Conference on Machine Translation) and analyse the errors in the output of the four highest-scoring systems. We revise the automatic evaluation method used in Sigur\dhsson et al. (2025) and compare it to manual evaluation of six machine translation systems. We find that our results are in line with the manual evaluation, indicating that the test suite can be well suited for evaluating machine translation in this domain. Finally, we publish a list of domain-specific sports terms, namely, in the domains of basketball, chess, football, golf and gymnastics.
%R 10.63317/3ctpkpj58fwf
%U https://aclanthology.org/2026.lrec-1.697/
%U https://doi.org/10.63317/3ctpkpj58fwf
%P 8862-8871
Markdown (Informal)
[Scoring the Translation: On Target Automatic Keyword-Based Evaluation of Machine Translation in the Sports Domain](https://aclanthology.org/2026.lrec-1.697/) (Steingrímsson & Sigurðsson, LREC 2026)
ACL