生成式人工智能时代的语料库语言学研讨会在京举办2026年8月9日至11日，“生成式人工智能时代的语料库语言学研讨会”在北京成功举办。本次会议由中国英汉语比较研究会语料库语言学专业委员会与北京外国语大学中国外语与教育研究中心联合主办，外语教学与研究出版社承办，《语料库语言学》杂志协办。研讨会吸引了海内外190余位专家学者齐聚一堂。

研讨会紧扣大语言模型飞速发展的时代背景，聚焦语料库语言学的前沿理论与实践应用。会议期间，卫乃兴、梁茂成、邓耀臣、姜峰、苏杭、原伟、饶高琦、刘鼎甲等8位知名学者发表主旨报告，深入探讨了AI时代的真实语料辨识、提示词设计、术语自动抽取及人机共生语境下的语言变化等热点议题。此外，会议设124场分论坛发言，多维度展示了AI在语料库建设、语言教学、翻译及数字人文等领域的深度融合。

与会专家一致认为，本次研讨会为大模型背景下语料库语言学的创新发展指明了方向，对推动学科的数据基础建设与跨学科融合具有重要意义。

会议的官方网站：https://corpus.bfsu.edu.cn/CLOC2026.html

会议新闻报道：https://mp.weixin.qq.com/s/Ly6oCTSZYHsp56i-jWI66w

Symposium on Corpus Linguistics in the Age of Generative AI

From August 9 to 11, 2026, the "Symposium on Corpus Linguistics in the Age of Generative AI" was successfully held in Beijing. The conference was jointly organized by the Corpus Linguistics Professional Committee of the China Association for Comparative Studies of English and Chinese, and the National Research Center for Foreign Language Education at Beijing Foreign Studies University, with Foreign Language Teaching and Research Press serving as the organizer and the journal Corpus Linguistics as co-sponsor. The symposium attracted more than 190 experts and scholars from China and abroad.

Closely following the era of rapid development of large language models, the symposium focused on cutting-edge theories and practical applications in corpus linguistics. During the conference, eight renowned scholars—Wei Naixing, Liang Maocheng, Deng Yaochen, Jiang Feng, Su Hang, Yuan Wei, Rao Gaoqi, and Liu Dingjia—delivered keynote speeches, exploring hot topics such as the identification of authentic corpora in the AI era, prompt design, automatic term extraction, and language change in the context of human-machine symbiosis. In addition, the conference featured 124 parallel sessions, showcasing the deep integration of AI into corpus construction, language teaching, translation, and digital humanities from multiple perspectives.

Participating experts unanimously agreed that this symposium pointed the way forward for the innovative development of corpus linguistics against the backdrop of large language models, and holds significant importance for advancing the discipline's data infrastructure and interdisciplinary integration.

Conference website: https://corpus.bfsu.edu.cn/CLOC2026.html