GPT-4翻译中文网络文学时，风格几乎与真人一致。
Missing the human touch? A computational stylometry analysis of GPT-4 translations of online Chinese literature
- 用计算风格学方法对比GPT-4与人工翻译的词汇、句法和内容特征
- GPT-4在三类风格指标上与人类译者高度相似
- 适合关注AI能否复制文学创作“人性”的研究者
现有研究指出，机器翻译（MT）在文学文本上表现不佳。评估通常依赖自动指标和主观评分，对风格特征关注有限。关于最先进大语言模型（LLMs）是否将重塑文学翻译的证据也较少。本研究分析了LLM翻译的风格特征，比较GPT-4在中文网络文学任务中与人类翻译的表现。计算风格学分析显示，GPT-4在词汇、句法和内容特征上与人类译文高度一致，表明LLM可能复现文学翻译中的“人性化”风格。这些发现从后人类视角揭示了人工智能对文学翻译的影响，使机器与人类翻译的界限日益模糊。
原文摘要 · Abstract (English)
Existing research indicates that machine translations (MTs) of literary texts are often unsatisfactory. MTs are typically evaluated using automated metrics and subjective human ratings, with limited focus on stylistic features. Evidence is also limited on whether state-of-the-art large language models (LLMs) will reshape literary translation. This study examines the stylistic features of LLM translations, comparing GPT-4's performance to human translations in a Chinese online literature task. Computational stylometry analysis shows that GPT-4 translations closely align with human translations in lexical, syntactic, and content features, suggesting that LLMs might replicate the 'human touch' in literary translation style. These findings offer insights into AI's impact on literary translation from a posthuman perspective, where distinctions between machine and human translations become increasingly blurry.
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