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20212024
most citedSimultaneous Neural Machine Translation with Constituent Label Prediction

3 citations · 3 across the 5 of their papers we have counts for

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cs.CL2024

NAIST Simultaneous Speech Translation System for IWSLT 2024

Yuka Ko, Ryo Fukuda, Yuta Nishikawa +9

This paper describes NAIST's submission to the simultaneous track of the IWSLT 2024 Evaluation Campaign: English-to-{German, Japanese, Chinese} speech-to-text translation and Engli…

cs.CL2023

Average Token Delay: A Duration-aware Latency Metric for Simultaneous Translation

Yasumasa Kano, Katsuhito Sudoh, Satoshi Nakamura

Simultaneous translation is a task in which the translation begins before the end of an input speech segment. Its evaluation should be conducted based on latency in addition to qua…

cs.CL2023

Tagged End-to-End Simultaneous Speech Translation Training using Simultaneous Interpretation Data

Yuka Ko, Ryo Fukuda, Yuta Nishikawa +3

Simultaneous speech translation (SimulST) translates partial speech inputs incrementally. Although the monotonic correspondence between input and output is preferable for smaller l…

cs.CL2022

Average Token Delay: A Latency Metric for Simultaneous Translation

Yasumasa Kano, Katsuhito Sudoh, Satoshi Nakamura

Simultaneous translation is a task in which translation begins before the speaker has finished speaking. In its evaluation, we have to consider the latency of the translation in ad…

cs.CL2021★ 3 cited

Simultaneous Neural Machine Translation with Constituent Label Prediction

Yasumasa Kano, Katsuhito Sudoh, Satoshi Nakamura

Simultaneous translation is a task in which translation begins before the speaker has finished speaking, so it is important to decide when to start the translation process. However…