Creative and Context-Aware Translation of East Asian Idioms with GPT-4
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866913526630580224 |
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| author | Tang, Kenan Song, Peiyang Qin, Yao Yan, Xifeng |
| author_facet | Tang, Kenan Song, Peiyang Qin, Yao Yan, Xifeng |
| contents | As a type of figurative language, an East Asian idiom condenses rich cultural background into only a few characters. Translating such idioms is challenging for human translators, who often resort to choosing a context-aware translation from an existing list of candidates. However, compiling a dictionary of candidate translations demands much time and creativity even for expert translators. To alleviate such burden, we evaluate if GPT-4 can help generate high-quality translations. Based on automatic evaluations of faithfulness and creativity, we first identify Pareto-optimal prompting strategies that can outperform translation engines from Google and DeepL. Then, at a low cost, our context-aware translations can achieve far more high-quality translations per idiom than the human baseline. We open-source all code and data to facilitate further research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_00988 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Creative and Context-Aware Translation of East Asian Idioms with GPT-4 Tang, Kenan Song, Peiyang Qin, Yao Yan, Xifeng Computation and Language As a type of figurative language, an East Asian idiom condenses rich cultural background into only a few characters. Translating such idioms is challenging for human translators, who often resort to choosing a context-aware translation from an existing list of candidates. However, compiling a dictionary of candidate translations demands much time and creativity even for expert translators. To alleviate such burden, we evaluate if GPT-4 can help generate high-quality translations. Based on automatic evaluations of faithfulness and creativity, we first identify Pareto-optimal prompting strategies that can outperform translation engines from Google and DeepL. Then, at a low cost, our context-aware translations can achieve far more high-quality translations per idiom than the human baseline. We open-source all code and data to facilitate further research. |
| title | Creative and Context-Aware Translation of East Asian Idioms with GPT-4 |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2410.00988 |