Cross-Lingual Non-ferrous Metals Related News Recognition Method Based on CNN with a Limited Bi-lingual Dictionary
Xudong Hong, Jinyuan Xia, Linna Wei, Wei Xue · Computers, materials & continua/Computers, materials & continua (Print) · 2019
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.