机器翻译的概述和挑战,以提供适合上下文的翻译
Palanichamy Naveen1, Pavel Trojovský1
1Department of Mathematics, Faculty of Science, University of Hradec Králové, Rokitanského 62, Hradec Králové, Czech Republic.
iScience
|October 11, 2024
概括
机器翻译难以达到上下文准确性,原因是诸如成语和多种词的细微差别. 加强这些系统对于更好的跨语言沟通和全球合作至关重要.
科学领域:
- 计算语言学 计算语言学
- 自然语言处理自然语言处理.
- 人工智能的人工智能
背景情况:
- 机器翻译 (MT) 系统可以实现跨语言的沟通.
- 实现上下文准确的翻译仍然是该领域的一个重大挑战.
- 现有的系统往往会因语言细微而失败.
研究的目的:
- 审查在制作上下文准确的机器翻译中固有的困难.
- 确定机器翻译准确性需要改进的关键领域.
- 突出解决这些挑战对全球沟通的重要性.
主要方法:
- 对当前机器翻译研究的文献综述.
- 分析常见的翻译错误与上下文,多义词,成语和文化细微差别相关.
- 检查翻译中的语法和语法挑战.
主要成果:
- 获取上下文信息是机器翻译的一个主要困难.
- 阐明多种词的含义和处理成语表达式构成重大障碍.
- 保护文化细微差别,特定领域的术语和复杂的句子结构是关键的挑战.
结论:
- 提高机器翻译中的上下文准确性对于有效的跨语言沟通至关重要.
- 解决处理成语,文化细微差别和复杂语法方面的挑战将提高系统效用.
- 机器翻译的进步促进了多元文化理解和全球合作.
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