Naveen Palanichamy, Trojovský Pavel
Department of Mathematics, Faculty of Science, University of Hradec Králové, Rokitanského 62, Hradec Králové, Czech Republic.
iScience. 2024 Sep 12;27(10):110878. doi: 10.1016/j.isci.2024.110878. eCollection 2024 Oct 18.
Machine translation facilitates cross-linguistic communication by converting text between languages. However, producing contextually accurate translations remains a challenge. This review explores the difficulties in achieving such accuracy, particularly in capturing contextual information, disambiguating polysemous words, and handling idiomatic expressions, cultural nuances, and domain-specific terms. The article emphasizes the importance of maintaining grammatical correctness and syntactic coherence while preserving the cultural context of the source text. It also addresses challenges related to complex sentence structures and grammatical transformations. The broader significance lies in enhancing machine translation systems to better break language barriers, foster multicultural understanding, and support global collaboration.
机器翻译通过在不同语言之间转换文本促进跨语言交流。然而，生成上下文准确的翻译仍然是一项挑战。本综述探讨了实现这种准确性的困难，特别是在捕捉上下文信息、消除多义词的歧义以及处理习语表达、文化细微差别和特定领域术语方面。文章强调在保持源文本文化背景的同时保持语法正确性和句法连贯性的重要性。它还讨论了与复杂句子结构和语法转换相关的挑战。更广泛的意义在于改进机器翻译系统，以更好地打破语言障碍、促进多元文化理解并支持全球合作。
