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April 17, 2026Computational LinguisticsOpen Access

Rethinking Evaluation in Simultaneous Speech Translation: A Case for Monotonic Test Sets

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Authors

MMMana MakinaeYSYusuke SakaiHKHidetaka Kamigaito

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Overview

This work introduces a new test set for evaluating simultaneous speech translation, suggesting improved metrics for performance measurement.

Key Points

  • The aim is to develop a novel test set for evaluating simultaneous speech translation models effectively, focusing on word order consistency.
  • Constructed a new test set designed specifically for simultaneous translation with exact word and phrase order.
  • Verified the quality of translations using professional interpreters.
  • Examined performance across three language pairs with varying word order similarities.
  • Existing test data was found to underestimate model performance.
  • The new test set, simul-tst-COMMON, provides a better evaluation framework.
  • Analysis showed that adaptive policies mimic human interpreter behavior more closely than traditional methods.

Cite This Study

Makinae et al. (2026) studied this question.

synapsesocial.com/papers/69e1cf985cdc762e9d8588e3https://doi.org/10.1162/coli.a.622
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