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|
A method of constructing syllable level Tibetan text classification corpus
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
Corpus serves as an indispensable ingredient for statistical NLP research and real-world applications, therefore corpus construction method has a direct impact on various downstream tasks. This paper proposes a method to construct Tibetan text classification corpus based on a syllable-level processing technique which we refer as TC_TCCNL. Empirical evidence indicates that the algorithm is able to produce a promising performance, which may lay a starting point for research on Tibetan text classification in the future.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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