自然语言处理在机器翻译中的应用

Zhaorong Zong, Changchun Hong
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引用次数: 32

摘要

自然语言处理是机器翻译的核心。在历史上,它的发展过程与机器翻译几乎相同,两者相辅相成。本文将统计语料库的自然语言处理与神经机器翻译进行对比,得出自然语言处理的结论:神经机器翻译具有深度学习的优势,非常适合处理自然语言的高维、无标签、大数据,因此其应用更加普遍,体现了大数据和大数据思维的力量。
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On Application of Natural Language Processing in Machine Translation
Natural language processing is the core of machine translation. In the history, its development process is almost the same as machine translation, and the two complement each other. This article compares the natural language processing of statistical corpora with neural machine translation and concludes the natural language processing: Neural machine translation has the advantage of deep learning, which is very suitable for dealing with the high dimension, label-free and big data of natural language, therefore, its application is more general and reflects the power of big data and big data thinking.
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