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Cross-Lingual Non-Ferrous Metals Related News Recognition Method Based on CNN with A Limited Bi-Lingual Dictionary

Xudong Hong1, Xiao Zheng1,*, Jinyuan Xia1, Linna Wei1, Wei Xue1

Anhui University of Technology, Maanshan, 243002, China.

* Corresponding Author: Xiao Zheng. Email: email.

Computers, Materials & Continua 2019, 58(2), 379-389. https://doi.org/10.32604/cmc.2019.04059

Abstract

To acquire non-ferrous metals related news from different countries’ internet, we proposed a cross-lingual non-ferrous metals related news recognition method based on CNN with a limited bilingual dictionary. Firstly, considering the lack of related language resources of non-ferrous metals, we use a limited bilingual dictionary and CCA to learn cross-lingual word vector and to represent news in different languages uniformly. Then, to improve the effect of recognition, we use a variant of the CNN to learn recognition features and construct the recognition model. The experimental results show that our proposed method acquires better results.

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Cite This Article

APA Style
Hong, X., Zheng, X., Xia, J., Wei, L., Xue, W. (2019). Cross-lingual non-ferrous metals related news recognition method based on CNN with A limited bi-lingual dictionary. Computers, Materials & Continua, 58(2), 379-389. https://doi.org/10.32604/cmc.2019.04059
Vancouver Style
Hong X, Zheng X, Xia J, Wei L, Xue W. Cross-lingual non-ferrous metals related news recognition method based on CNN with A limited bi-lingual dictionary. Comput Mater Contin. 2019;58(2):379-389 https://doi.org/10.32604/cmc.2019.04059
IEEE Style
X. Hong, X. Zheng, J. Xia, L. Wei, and W. Xue "Cross-Lingual Non-Ferrous Metals Related News Recognition Method Based on CNN with A Limited Bi-Lingual Dictionary," Comput. Mater. Contin., vol. 58, no. 2, pp. 379-389. 2019. https://doi.org/10.32604/cmc.2019.04059

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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