Open AccessResearch on Tibetan Question Answering Technology Based on Deep Learning
Author(s) -
Shengyin Zhu,
Xiangzhen He,
Bingjun La,
Hongzhi Yu
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1213/2/022006
Subject(s) - question answering , computer science , artificial intelligence , deep learning , natural language processing , machine translation , linguistics , philosophy
By applying the theory, technology and system of the Chinese Question Answering system, combining with the background of large data and cloud processing, integrating the theoretical knowledge of Tibetan linguistics, and covering computer high-tech of Tibetan machine translation, neural network learning, problem analysis, classification and answer generation, etc, this paper explores the optimization model of the new Tibetan-Chinese bilingual Question Answering system. Finally, the Tibetan/Chinese bilingual Question Answering system based on deep learning is completed to provide technical support for the economic development of ethnic minority areas.