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        <title>TeCS: A Dataset and Benchmark for Tense Consistency of Machine Translation</title>
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    <abstract>Tense inconsistency frequently occurs in machine translation. However, there are few criteria to assess the model’s mastery of tense prediction from a linguistic perspective. In this paper, we present a parallel tense test set, containing French-English 552 utterances. We also introduce a corresponding benchmark, tense prediction accuracy. With the tense test set and the benchmark, researchers are able to measure the tense consistency performance of machine translation systems for the first time.</abstract>
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%0 Conference Proceedings
%T TeCS: A Dataset and Benchmark for Tense Consistency of Machine Translation
%A Ai, Yiming
%A He, Zhiwei
%A Yu, Kai
%A Wang, Rui
%Y Rogers, Anna
%Y Boyd-Graber, Jordan
%Y Okazaki, Naoaki
%S Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F ai-etal-2023-tecs
%X Tense inconsistency frequently occurs in machine translation. However, there are few criteria to assess the model’s mastery of tense prediction from a linguistic perspective. In this paper, we present a parallel tense test set, containing French-English 552 utterances. We also introduce a corresponding benchmark, tense prediction accuracy. With the tense test set and the benchmark, researchers are able to measure the tense consistency performance of machine translation systems for the first time.
%R 10.18653/v1/2023.acl-short.164
%U https://aclanthology.org/2023.acl-short.164
%U https://doi.org/10.18653/v1/2023.acl-short.164
%P 1930-1941

Markdown (Informal)

[TeCS: A Dataset and Benchmark for Tense Consistency of Machine Translation](https://aclanthology.org/2023.acl-short.164) (Ai et al., ACL 2023)

• TeCS: A Dataset and Benchmark for Tense Consistency of Machine Translation (Ai et al., ACL 2023)

ACL

• Yiming Ai, Zhiwei He, Kai Yu, and Rui Wang. 2023. TeCS: A Dataset and Benchmark for Tense Consistency of Machine Translation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1930–1941, Toronto, Canada. Association for Computational Linguistics.