研究三种动词短语对机器翻译质量的影响，发现它们显著降低翻译准确率。
Evaluating the Impact of Verbal Multiword Expressions on Machine Translation
- 分析动词习语、动词+介词、轻动词结构三类表达的翻译难点
- 多语言实验表明这些表达使翻译质量普遍下降
- 适合关注翻译细节与语言复杂性的研究人员使用
动词性多词表达（VMWEs）因意义无法从组成部分推导，仍难以被机器翻译系统处理。本研究分析了三类典型VMWE——动词习语、动词+介词结构和轻动词结构——对英语到多种语言机器翻译质量的影响。利用已有的多词表达数据集和标准机器翻译数据集，评估了当前最先进的翻译系统在处理这些表达时的表现。实验结果一致显示，VMWEs会显著降低翻译质量，进一步分析表明，这种性能下降主要源于表达本身，而非整体句子难度。研究代码与评估框架已公开，供社区测试新翻译系统。
原文摘要 · Abstract (English)
Verbal multiword expressions (VMWEs) remain difficult for machine translation because their meanings are often not recoverable from their component words. In this study, we analyze the impact of three VMWE categories -- verbal idioms, verb-particle constructions, and light verb constructions -- on machine translation quality from English to multiple languages. Using both established multiword expression datasets and standard machine translation datasets, we evaluate how state-of-the-art translation systems handle these expressions. Our experimental results consistently show that VMWEs negatively affect translation quality, with deeper analysis indicating that this degradation is primarily attributable to the VMWE itself rather than general sentence-level difficulty. We release our code and evaluation framework to test new MT systems for the community.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。