FrancophonIA/CorpusSVCs

这是一个关于机器翻译系统翻译英语支持动词构造的质量评估的数据集，涉及法语、德语、意大利语、葡萄牙语和西班牙语五种语言。研究通过对基于规则的机器翻译系统（OpenLogos）和统计机器翻译系统（Google Translate）的翻译错误进行分类和定性分析，旨在验证机器翻译系统翻译细致语言现象的能力，并探讨混合机器翻译系统的优势。

This is a dataset on the quality evaluation of translations of English support verb constructions by machine translation systems, covering five languages: French, German, Italian, Portuguese, and Spanish. The study involves classifying and qualitatively analyzing translation errors from rule-based machine translation system (OpenLogos) and statistical machine translation system (Google Translate), aiming to verify the ability of machine translation systems to translate subtle linguistic phenomena and to explore the advantages of hybridizing machine translation systems.