| Autor: |
Li, Yunmeng, Suzuki, Jun, Morishita, Makoto, Abe, Kaori, Tokuhisa, Ryoko, Brassard, Ana, Inui, Kentaro |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems, pages 88-95, November 2022, Online. Association for Computational Linguistics |
| Druh dokumentu: |
Working Paper |
| DOI: |
10.18653/v1/2022.eval4nlp-1.9 |
| Popis: |
In this paper, we describe the development of a communication support system that detects erroneous translations to facilitate crosslingual communications due to the limitations of current machine chat translation methods. We trained an error detector as the baseline of the system and constructed a new Japanese-English bilingual chat corpus, BPersona-chat, which comprises multiturn colloquial chats augmented with crowdsourced quality ratings. The error detector can serve as an encouraging foundation for more advanced erroneous translation detection systems. |
| Databáze: |
arXiv |
| Externí odkaz: |
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