Jastudy

⭐️ 代表性学术期刊论文：

1. AI-driven Knowledge Discovery: Developing a Human-machine Collaborative Framework for Learning Japanese Sentence Patterns.

   Jun Liu.

   Education and Information Technologies, Jan 2025 (Online). DOI: https://doi.org/10.1007/s10639-024-13267-w (SSCI检索, JCR-1区, 2023影响因子：4.8)

2. Development of a Computer-assisted Japanese Functional Expression Learning System for Chinese-speaking Learners.

   Jun Liu, Hiroyuki Shindo and Yuji Matsumoto.

   Educational Technology Research and Development, 67(5), October 2019, pp. 1307-1331. DOI: https://doi.org/10.1007/s11423-019-09669-0 (SSCI检索, JCR-1区, 2019影响因子：2.303)

3. 基于语义组合的日语多义动词的机器汉译考察.

   刘君，卜朝晖，池田尚志，松本忠博.

   广西师范大学学报（自然科学版）, 2013, 31(3), pp. 177-183. (北大中文核心期刊)

⭐️ 代表性学术会议论文：

1. Improving Extraction of Japanese Functional Expressions with Discontinuous Types through Part-Of-Speech Tagging.

   Jun Liu, Renting Chen, and Chaofan Liang.

   In Proceedings of 2023 6th International Conference on Big Data and Education (ICBDE 2023), Ji'nan, China, June 2023, pp.131-135.（EI核心检索）

2. Construction of a Japanese-Chinese Bilingual Corpus for Learning Japanese Sentence Patterns through Multi-Level Annotation.

   Jun Liu, and Luxuan Zhuang.

   In Proceedings of 2022 3rd International Conference on Pattern Recognition and Machine Learning (PRML 2022), Chengdu, China, July 2022, pp. 321-327.（EI核心检索）

3. A Hybrid Method for Automatic Simplification of Japanese Sentence Patterns Based on Morphological Analysis and Grammatical Rules.

   Jun Liu, Zhengxiong Li, Yuanyu Fang, and Luxuan Zhuang.

   In Proceedings of 2022 2nd International Conference on Educational Technology (IEEE ICET 2022), Beijing, China, June 2022, pp. 208-212.（EI核心检索）

4. Design and Construction of a Knowledge Database for Learning Japanese Grammar Using Natural Language Processing and Machine Learning Techniques.

   Jun Liu, Yuanyu Fang, Zhuohan Yu, and Tingkun Wu.

   In Proceedings of 2022 4th International Conference on Natural Language Processing (ICNLP 2022), Xi'an, China, March 2022, pp. 371-375.（EI核心检索）

5. A Corpus-Based Sampling to Build Training Data Set for Extracting Japanese Sentence Pattern.

   Jun Liu, Yihaoran Ning, Yuanyu Fang, Luxuan Zhuang, Zhuohan Yu, and Tingkun Wu.

   In Proceedings of 2022 11th International Conference on Educational and Information Technology (ICEIT 2022), Chengdu, China, January 2022, pp. 123-128.（EI核心检索、CPCI-S核心检索）

6. Automatic Error Correction on Japanese Functional Expressions Using Character-based Neural Machine Translation.

   Jun Liu, Fei Cheng, Yiran Wang, Hiroyuki Shindo, and Yuji Matsumoto.

   In Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation (PACLIC 32), Hong Kong, China, December 2018, pp. 394-403.（EI核心检索）

7. Sentence Suggestion of Japanese Functional Expressions for Chinese-speaking Learners.

   Jun Liu, Hiroyuki Shindo, and Yuji Matsumoto.

   In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics-System Demonstrations (ACL 2018), Melbourne, Australia, July 2018, pp. 56-61.（EI核心检索、CPCI-S & CPCI-SSH双核心检索）

8. Sentence Complexity Estimation for Chinese-speaking Learners of Japanese.

   Jun Liu, and Yuji Matsumoto.

   In Proceedings of the 31st Pacific Asia Conference on Language, Information and Computation (PACLIC 31), Cebu, Philippines, November 2017, pp. 296-302.（EI核心检索）

9. Simplification of Example Sentences for Learners of Japanese Functional Expressions.

   Jun Liu, and Yuji Matsumoto.

   In Proceedings of the 3rd Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2016), Osaka, Japan, December 2016, pp. 1-5.

10. 计算机辅助下的日语同音异义词的汉译研究

    刘君.

    语言与认知研究：继承与发展 (“语言与认知”国际学术研讨会论文集), 高等教育出版社, 2015年2月.

⭐️ 学术奖励

1. 国际学术奖：Outstanding ETR&D Journal Article Award

   Jun Liu, Hiroyuki Shindo and Yuji Matsumoto.

   Association for Educational Communications and Technology, October 2019.