基于机器学习的机器类比翻译技术研究

Siyu Zhuang, Ying Cai
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引用次数: 0

摘要

随着经济全球化进程的加快,翻译服务的重要性逐渐显现。从统计机器翻译到神经机器翻译,机器翻译技术有着悠久而辉煌的历史。目前,机器翻译软件正在兴起,大多遵循自然语言处理的规则。为了在翻译中达到质量和效率,应准确处理语言中的各种歧义,提高翻译速度,同时增强机器翻译的拟人化,不断提高机器对人类语言的认识。因此,加强机器学习技术的研究十分重要,坚持研究基于机器学习的机器类比翻译技术是一个重要的研究课题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on machine analogy translation technology based on machine learning
With the acceleration of economic globalization, the importance of translation services has gradually manifested. The machine translation technology has a long and glorious history from statistical machine translation to neural machine translation, At present, machine translation software is emerging, mostly following the rules of natural language processing. In order to achieve quality and efficiency in translation, the various ambiguities in the language should be processed accurately and the speed of translation should be increased, while the anthropomorphism of machine translation should be enhanced and the machine's knowledge of human language should be constantly improved. Therefore, it is important to strengthen the research of machine learning technology, and to insist on the research on machine analogy translation technology based on machine learning is an important research topic.
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