解决中文定语助词‘的’缺失导致的英译歧义问题
The Role of Handling Attributive Nouns in Improving Chinese-To-English Machine Translation
- 在新闻标题中人工补全‘的’字，构建专用训练数据集
- 针对中文定语结构改进模型翻译准确率，减少歧义
- 适合中文-英文机器翻译优化研究者参考
跨语言翻译面临语法差异挑战，尤其在中文定语结构中常省略助词‘的’，导致英文翻译歧义。本文在宾夕法尼亚中文语篇树库的新闻标题中人工补全‘的’字，构建针对性数据集，用于微调Hugging Face的中英翻译模型。该方法专门提升模型对关键功能词的处理能力，不仅补充了已有研究策略，还为常见翻译错误提供了切实可行的改进方案。
原文摘要 · Abstract (English)
Translating between languages with drastically different grammatical conventions poses challenges, not just for human interpreters but also for machine translation systems. In this work, we specifically target the translation challenges posed by attributive nouns in Chinese, which frequently cause ambiguities in English translation. By manually inserting the omitted particle X ('DE'). In news article titles from the Penn Chinese Discourse Treebank, we developed a targeted dataset to fine-tune Hugging Face Chinese to English translation models, specifically improving how this critical function word is handled. This focused approach not only complements the broader strategies suggested by previous studies but also offers a practical enhancement by specifically addressing a common error type in Chinese-English translation.
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