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TeCS: A Dataset and Benchmark for Tense Consistency of Machine Translation

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arxiv 2305.13740 v1 pith:P5766KDG submitted 2023-05-23 cs.CL

Yiming Ai , Zhiwei He , Kai Yu , Rui Wang This is my paper
classification cs.CL
keywords tensebenchmarkmachinetranslationconsistencypredictiontestable
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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.

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