ChatGPT as a Translation Engine: A Case Study on Japanese-English
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866918157225033728 |
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| author | Sutanto, Vincent Michael De Giacomo, Giovanni Gatti Nakazawa, Toshiaki Yamada, Masaru |
| author_facet | Sutanto, Vincent Michael De Giacomo, Giovanni Gatti Nakazawa, Toshiaki Yamada, Masaru |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_08042 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | ChatGPT as a Translation Engine: A Case Study on Japanese-English Sutanto, Vincent Michael De Giacomo, Giovanni Gatti Nakazawa, Toshiaki Yamada, Masaru Computation and Language 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. |
| title | ChatGPT as a Translation Engine: A Case Study on Japanese-English |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2510.08042 |