Mongolian-Chinese machine translation method based on neural network Turing machine

A neural network and machine translation technology, applied in the field of machine translation, can solve problems such as unregistered word processing, missed translation, mistranslation, etc.

Active Publication Date: 2019-12-27
INNER MONGOLIA UNIV OF TECH
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Problems solved by technology

[0006] In order to solve the above-mentioned problems such as missing translations, mistranslations, and unregistered word processing in the translation process mainly existing in the above, the purpose of the present invention is to provide a Mongolian-Chinese machine translation method based on neural network Turing machines, aimi

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  • Mongolian-Chinese machine translation method based on neural network Turing machine
  • Mongolian-Chinese machine translation method based on neural network Turing machine
  • Mongolian-Chinese machine translation method based on neural network Turing machine

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[0057] The specific implementation manner of the present invention will be described below in conjunction with the accompanying drawings and examples.

[0058] A kind of Mongolian-Chinese machine translation method based on neural network Turing machine of the present invention, its main steps: first carry out preprocessing to Mongolian-Chinese bilingual corpus, the Mongolian-Chinese bilingual corpus is vectorized, build bilingual dictionary on this basis; The network Turing machine (NTM) further expands the storage, from the internal memory unit of LSTM to the external memory, introduces the memory mechanism, realizes the semantic relationship extraction, and gives the semantic relationship between two entity words; finally, through model training, find the optimal solution .

[0059] In the field of NLP, in order to represent human language symbols, these symbols are generally converted into a mathematical vector form for easy processing. Embedding language words into a vect...

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Abstract

A Mongolian-Chinese machine translation method based on a neural network Turing machine comprises the following steps: firstly, preprocessing Mongolian-Chinese bilingual corpus, vectorizing the Mongolian-Chinese bilingual corpus, and constructing a bilingual dictionary on the basis of the Mongolian-Chinese bilingual corpus; secondly, further expanding storage through a neural network totem machine(NTM), expanding from an internal memory unit of the LSTM to an external memory, introducing a memory mechanism, realizing semantic relation extraction, and giving a semantic relation between two entity words; and finally, searching an optimal solution through decoder model training. Compared with the prior art, according to the invention, semantic analysis is carried out by means of a neural totem machine; related semantic knowledge is found out and extracted, the accuracy of natural language processing is greatly improved by means of the semantic knowledge, corpora are preprocessed by meansof parallel work of a CPU and a GPU, the speed is increased by nearly one time, and the overall translation quality is further improved.

Description

technical field [0001] The invention belongs to the technical field of machine translation, in particular to a Mongolian-Chinese machine translation method based on a neural network Turing machine. Background technique [0002] With the vigorous development of a series of network services including information technology, natural language processing, especially machine translation, plays a vital role in the development of the Internet. Many large search companies and service centers such as Google and Baidu have conducted large-scale research on machine translation, making unremitting efforts to obtain high-quality translations of machine translation. [0003] However, with the continuous efforts of scientists and linguists for decades, problems that cannot be ignored have also been exposed in the process of machine translation development - ambiguous word processing, unregistered word processing, and coding confusion caused by differences in bilingual structure. The transl...

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Application Information

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IPC IPC(8): G06F17/28G06F17/27G06N3/04
CPCG06N3/044G06N3/045
Inventor 苏依拉赵旭卞乐乐薛媛范婷婷高芬
Owner INNER MONGOLIA UNIV OF TECH
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