April 2, 2024, 7:52 p.m. | Jinming Zhao, Yuka Ko, Kosuke Doi, Ryo Fukuda, Katsuhito Sudoh, Satoshi Nakamura

cs.CL updates on arXiv.org arxiv.org

arXiv:2304.11766v4 Announce Type: replace
Abstract: It remains a question that how simultaneous interpretation (SI) data affects simultaneous machine translation (SiMT). Research has been limited due to the lack of a large-scale training corpus. In this work, we aim to fill in the gap by introducing NAIST-SIC-Aligned, which is an automatically-aligned parallel English-Japanese SI dataset. Starting with a non-aligned corpus NAIST-SIC, we propose a two-stage alignment approach to make the corpus parallel and thus suitable for model training. The first stage …

arxiv cs.cl english interpretation japanese type

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