Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)

An empirical study on the distribution of Tibetan monosyllabic monomorphemic words based on corpus

Authors
Dongzhi Tsering1, *, Kunyu Qi2, Cairang Yun3
1Key Laboratory of China’s Ethnic Languages and Information Technology of Ministry of Education Northwest Minzu University, Lanzhou, China
2Gansu Provincial Key Laboratory of intelligent processing of national languages/Northwest Minzu University, Lanzhou, China
3“One Belt One Road” Research Center for Multilingual Intelligent Processing and Humanities and Social Big Data/Northwest Minzu University, Lanzhou, China
*Corresponding author. Email: 2730491560@qq.com
Corresponding Author
Dongzhi Tsering
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-262-0_3How to use a DOI?
Keywords
Tibetan monomorphemic words; Corpus; Statistical analysis
Abstract

As the most basic constituent unit of language, monomorphemic words are of great relevance to the fields of natural language processing, language ontology research, and language application. This paper takes Tibetan monomorphemic words as the research object and uses the Tibetan lexical annotation corpus that has been manually annotated and the Tibetan dictionary that contains a large number of Tibetan monosyllabic monomorphemic words and their paraphrase examples as the research materials. The extraction model of Tibetan monosyllabic monomorphemic words is designed by combining the dictionary corpus and the lexical annotation corpus. A comprehensive and accurate analysis of its distribution and concurrent class phenomenon is carried out through a statistical study based on the corpus. The paper obtains a graded word list based on relative generality, in which the total number of monosyllabic monomorphemic words such as nouns, verbs, adjectives, and adverbs is 1599. This is the first systematic and comprehensive statistical study of Tibetan monosyllabic monomorphemic words, which not only provides reliable data support for in-depth research in this field but also provides valuable references for natural language processing and computer applications in Tibetan.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
Series
Atlantis Highlights in Engineering
Publication Date
9 October 2023
ISBN
978-94-6463-262-0
ISSN
2589-4943
DOI
10.2991/978-94-6463-262-0_3How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Dongzhi Tsering
AU  - Kunyu Qi
AU  - Cairang Yun
PY  - 2023
DA  - 2023/10/09
TI  - An empirical study on the distribution of Tibetan monosyllabic monomorphemic words based on corpus
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 12
EP  - 25
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_3
DO  - 10.2991/978-94-6463-262-0_3
ID  - Tsering2023
ER  -