MATEC Web Conf.
Volume 336, 20212020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
|Number of page(s)||7|
|Section||Artificial Recognition and Application|
|Published online||15 February 2021|
Tibetan interrogative sentence recognition and classification based on phrase features
1 College of Computer Science and Technology, Qinghai Normal University, Qinghai Xining 810016, China
2 School of Computer Science and Technology, Southwest Minzu University, Sichuan Chengdu 610041, China
3 Tibetan Information Processing and Machine Translation Key Laboratory of Qinghai Province, Qinghai Xining 810008, China
4 Key Laboratory of Tibetan Information Processing, Ministry of Education, Qinghai Xining 810008, China
* Corresponding author: firstname.lastname@example.org
The recognition of Tibetan interrogative sentences is a basic work in natural language processing, which has a wide application value in terms of Tibetan syntactic analysis, semantic analysis, intelligent question answering, search engine and other research fields. Employing interrogative pronouns as a entry point to analyze the phrase features before and after interrogative pronouns, the paper proposes a method for Tibetan interrogative sentence recognition and classification based on phrase features by designing a Tibetan interrogative sentence recognition and classification model based on phrase features. Experimental results show that the recognition accuracy, recall rate and F value of this method are 98.21%, 100.00% and 99.10% respectively, and the average classification accuracy, recall rate and F value are 96.98%, 100.00% and 98.39%, respectively.
© The Authors, published by EDP Sciences, 2021
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