An ancient Chinese translation method based on neural machine translation

A machine translation, ancient Chinese technology, applied in the computer field

Active Publication Date: 2019-02-19
HUBEI UNIV OF ARTS & SCI
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The above two types of representative methods have their translation advantages, and have achieved good translation results in the pro

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  • An ancient Chinese translation method based on neural machine translation
  • An ancient Chinese translation method based on neural machine translation
  • An ancient Chinese translation method based on neural machine translation

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[0031] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0032] As a brand-new machine translation technology, neural machine translation combines advanced deep learning techniques and methods with neural networks, greatly improving the coverage, fidelity and fluency of language translation. This patent applies this technology to the translation work from ancient Chinese to modern Chinese for the first time. It not only greatly improves the efficiency of human translation, but also greatly improves the traditional statistical machine translation technology in terms of translation quality. The research content of t...

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Abstract

The invention discloses an ancient Chinese translation method based on neural machine translation. Firstly, the standardized ancient Chinese corpus is tagged. Then the tagged results are processed toform an ancient Chinese corpus which can be used as the source of neural machine translation. Finally, the neural machine translation of ancient Chinese is carried out. The invention not only expandsthe theoretical research of the advanced neural machine translation technology, but also enables the technology to be used in the practical application of the ancient Chinese to the modern Chinese with high effect. This patent combines neural machine translation with ancient Chinese translation, which makes this research a highlight in the field of ancient Chinese translation.

Description

technical field [0001] The invention belongs to the technical field of computers and relates to a machine translation method, in particular to an ancient Chinese translation method based on neural machine translation. Background technique [0002] Neural machine translation is an end-to-end automatic translation between natural languages ​​directly through neural networks, usually using an encoder-decoder framework to achieve sequence-to-sequence conversion ([References 1, 2, 9]). Compared with traditional statistical machine translation, neural machine translation based on the encoder-decoder framework has two advantages: [0003] (1) Learning features directly from raw data; [0004] The sentence vector representation learned by the encoder-decoder framework can group together sentences with different syntax and the same semantics, and can also distinguish sentences with the same syntax but different semantics produced by swapping the subject and object. [0005] (2) Cap...

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Application Information

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IPC IPC(8): G06F17/27G06F17/28G06N3/04G06N3/08
CPCG06N3/084G06F40/216G06F40/289G06F40/30G06F40/58G06N3/045Y02D10/00
Inventor 王峰高志明谷琼赵永标屈俊峰
Owner HUBEI UNIV OF ARTS & SCI
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