Journal of Systems Engineering and Electronics ›› 2026, Vol. 37 ›› Issue (5): 1449-1462.doi: 10.23919/JSEE.2026.000162

• ELECTRONICS TECHNOLOGY • Previous Articles    

Memristive computing for Tibetan spellchecker

Yongbin Yu1(), Yutong Liu1(), Jiarun Shen1(), Ma-bao Ban1(), Xiangxiang Wang1,*(), Drolma Tsering2(), Tsering Thupten3,4(), Cheng Huang5(), Tashi Dorje2(), Dongrub Rinchen2(), Duojie Renzeng2(), Luosang Gadeng2(), Tashi Karma2(), Tashi Nyima2,*()   

  1. 1School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
    2School of Information Science and Technology, Tibet University, Lhasa 850000, China
    3Yibin Institute, University of Electronic Science and Technology of China, Yibin 644005, China
    4The State Key Laboratory of Tibetan Intelligent Information Processing and Application, Qinghai Normal University, Xining 810016, China
    5Department of Ophthalmology, University of Texas Southwestern Medical Center, Dallas 75390, U.S.
  • Received:2024-11-08 Online:2026-10-18 Published:2026-11-09
  • Contact: Xiangxiang Wang, Tashi Nyima E-mail:ybyu@uestc.edu.cn;yutongliu0620@foxmail.com;jiarunshen@foxmail.com;bamboo@uestc.edu.cn;wxxlongtime@gmail.com;2510100496@qq.com;thupten@uestc.edu.cn;chenghuang@smu.edu;1336786645@qq.com;rindon@utibet.edu.cn;rzdj@utibet.edu.cn;gadenutibet@gmail.com;gama@utibet.edu.cn;nmzx@utibet.edu.cn
  • Supported by:
    This work was supported by the National Science and Technology Major Project (2022ZD0116100), the National Natural Science Foundation of China (62276055), the Sichuan Science and Technology Program (23ZDYF0755, 24NSFSC5679), and the Tibetan Natural Science Foundation (XZ202201ZR0054G).

Abstract:

This paper highlights a Tibetan syllable spelling check method based on memristive computing. Firstly, a rule-based syllable component recognization method is implemented to classify components of syllables into seven types, that is prefix letter, root letter, superscript letter, subscript letter, vowel letter, suffix letter, and farther suffix letter. In order to detect syllable formation errors in Tibetan text, a Tibetan spelling check method is presented based on component recognization by adding mapping principles. Then, a memristor crossbar array with an external control circuit is introduced to make memristive computing for Tibetan spelling check, by analyzing the total current value in a memristor crossbar array to implement rule-based matching and mapping processes. Finally, a stable memristive computing algorithm-based Tibetan spelling check is established. A simulation experiment on the memristor crossbar array demonstrates the stability of our memristive computing-based Tibetan spelling check method. Comparative experiments on 1274 of the most common Tibetan syllables show that the accuracy of our component recognization method is 97.19%, the F1-score of spelling check is 98.58%, beating other rule-based and statistics-based methods in precision and F1-score, demonstrating the accuracy of our method.

Key words: memristor, memristive computing, Tibetan syllable component recognization, Tibetan spelling check