Large-Scale English-Japanese Simultaneous Interpretation Corpus: Construction and Analyses with Sentence-Aligned Data

Kosuke Doi, Katsuhito Sudoh, Satoshi Nakamura


Abstract
This paper describes the construction of a new large-scale English-Japanese Simultaneous Interpretation (SI) corpus and presents the results of its analysis. A portion of the corpus contains SI data from three interpreters with different amounts of experience. Some of the SI data were manually aligned with the source speeches at the sentence level. Their latency, quality, and word order aspects were compared among the SI data themselves as well as against offline translations. The results showed that (1) interpreters with more experience controlled the latency and quality better, and (2) large latency hurt the SI quality.
Anthology ID:
2021.iwslt-1.27
Volume:
Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021)
Month:
August
Year:
2021
Address:
Bangkok, Thailand (online)
Venues:
ACL | IJCNLP | IWSLT
SIG:
SIGSLT
Publisher:
Association for Computational Linguistics
Note:
Pages:
226–235
Language:
URL:
https://aclanthology.org/2021.iwslt-1.27
DOI:
10.18653/v1/2021.iwslt-1.27
Bibkey:
Cite (ACL):
Kosuke Doi, Katsuhito Sudoh, and Satoshi Nakamura. 2021. Large-Scale English-Japanese Simultaneous Interpretation Corpus: Construction and Analyses with Sentence-Aligned Data. In Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021), pages 226–235, Bangkok, Thailand (online). Association for Computational Linguistics.
Cite (Informal):
Large-Scale English-Japanese Simultaneous Interpretation Corpus: Construction and Analyses with Sentence-Aligned Data (Doi et al., IWSLT 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.iwslt-1.27.pdf