博士，讲师，硕士生导师

电子邮箱：zhongqian71400@163.com

研究方向：语料库语言学、计算语言学、话语分析、多模态

corpus linguistics, computational linguistics, discourse analysis multimodal study

个人简介

个人基本情况简介，主要包括教育背景、教学与科研成果、所获荣誉称号、社会服务等方面的情况，300字左右。

钟倩，女，博士, 外语学院讲师。2021年获香港城市大学博士学位， 师从著名语言学家刘美君教授。获得英国爱丁堡大学语音与语言处理（Speech and Language Processing） 理学硕士和香港城市大学翻译及语言学系翻译及传译文学硕士双硕士学位。参与过“中文动词语义网 (Mandarin VerbNet)”的项目标注、新加坡国立大学计算机所关于隐性语篇关系的研究项目、Ask me why网站建设等。目前兼任中南大学文学与新闻传播学院新媒体语言研究协同创新中心研究员，曾多次参加国际会议并发表sci文章、EI文章。目前担任研究生、本科生班主任。主要教授《英语语法》、《英汉互译》等课程。成功指导硕士生参加高规格学术会议，获得2025年度优秀班主任荣誉称号。主持湖北省教育厅2025年度哲学社会科学研究项目一项。作为团队成员，参与国家一流课程《英语语法》课程建设。获外研社“教学之星”大赛全国复赛一等奖。

Qian Zhong is a Lecturer in the School of Foreign Languages, Wuhan Institute of Technology. She received her Ph.D. from City University of Hong Kong, supervised by Professor Liu Meichun. Before she joined City University of Hong Kong as a PhD student, she got a MSc Speech and Natural Language Processing from the University of Edinburgh and a MA in Translation and Interpretation from City University of Hong Kong. Her research focuses on discourse analysis, multimodal studies, corpus linguistics and computational linguistics. She has published several SCI and EI articles.

主要教学成果

1. 《英语语法》获评国家一流课程 （团队成员），教育部，2025年；

English Grammar listed in 3rd batch of national first-class undergraduate courses, Ministry of Education, 2025

2. 外研社“教学之星”大赛全国复赛一等奖，外研社，2023年；

First Prize in national semi-finals of the 2023 Foreign Language Teaching Star Competition of the Foreign Language Teaching and Research Press

主要科研成果

1. 论文成果，标题、期刊、年份等信息；

He, T., Chen, M., & Zhong, Q. (2024, June). Lexical-Pragmatic Change in Social Media Platform: A Case Study of Gratitude Verb Constructions. In Workshop on Chinese Lexical Semantics (pp. 274-286). Singapore: Springer Nature Singapore.

Zhong, Q., & He, T. (2023, May). Profiling the Mandarin Physical Contact Verbs with ná, wò, chí and zhuā Using Collocational, Syntactic and Discourse Features. In Workshop on Chinese Lexical Semantics (pp. 211-224). Singapore: Springer Nature Singapore.

Lei, W., Xiang, Y., Wang, Y., Zhong, Q., Liu, M., & Kan, M. Y. (2018, April). Linguistic properties matter for implicit discourse relation recognition: Combining semantic interaction, topic continuity and attribution. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 32, No. 1).

2. 项目成果，标题、来源、年份等信息；

湖北省教育厅2025年度哲学社会科学研究项目青年项目 基于语料库的英语隐式篇章关系的词汇特征研究 湖北省教育厅 2025年

Department of Education of Hubei Province Philosophy and Social Sciences Research Project (Youth Project) (Grant No.: 25Q023), A Corpus-Based Study on the Lexical Features of Implicit Discourse Relations in English, 2025, Department of Education of Hubei Province,