ChatGPT as a Translation Engine: A Case Study on Japanese-English
Sutanto, Vincent Michael, De Giacomo, Giovanni Gatti, Nakazawa, Toshiaki, Yamada, Masaru
–arXiv.org Artificial Intelligence
This study investigates ChatGPT for Japanese-English translation, exploring simple and enhanced prompts and comparing against commercially available translation engines. Performing both automatic and MQM-based human evaluations, we found that document-level translation outperforms sentence-level translation for ChatGPT. On the other hand, we were not able to determine if enhanced prompts performed better than simple prompts in our experiments. We also discovered that ChatGPT-3.5 was preferred by automatic evaluation, but a tradeoff exists between accuracy (ChatGPT-3.5) and fluency (ChatGPT-4). Lastly, ChatGPT yields competitive results against two widely-known translation systems.
arXiv.org Artificial Intelligence
Oct-10-2025
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