会议信息 | 中国语文现代化学会语言认知与智能发展专业委员会第一届学术年会——主旨发言预告（一）

中国语文现代化学会

语言认知与智能发展专业委员会第一届学术年会

主旨发言预告（一）

中国语文现代化学会语言认知与智能发展专业委员会第一届年会的筹备工作进展顺利，将如期于2023年11月3日至5日在清华大学召开第一届学术年会。

十二位国内外知名专家受邀将在大会进行主旨发言，本期将介绍四位受邀学者及发言摘要。

主旨发言嘉宾简介

Willem Hollmann 

Willem Hollmann is a professor of Linguistics at Lancaster University, UK. His research interests mainly fall into three “strands”: Cognitive-typological linguistic theory and methodology; Language change and the history of English; Dialect grammar, particularly of Lancashire dialect. In addition to these areas, he also has an active interest in forensic linguistics, especially the study of linguistic cues to deception. In this relation, he is particularly interested in the possibility that current theories, which have often been suggested by psychologists, might be refined from a theoretical linguistic point of view.

发言题目：

The word class wars: the battle over structure and meaning

摘要：

The study of word classes, such as nouns, verbs and adjectives, has a long tradition. In Western linguistics one may distinguish between at least five major approaches: the “traditional” approach associated with for example Lowth (1762); the American Structuralist school which starts with Bloomfield (1933) and persists in Huddleston & Pullum (2002) and Pullum (2009, 2010); the generative approach, starting with Chomsky (1974) but including also for example Panagiotidis (2015); cognitive linguistics (see e.g. Langacker 1987, 2008); and psycholinguistics (e.g. Kelly 1992, Monaghan et al. 2005).

These approaches are often thought of as distinct, with their proponents referring to each other’s work only very rarely. In this talk I will show, drawing on Hollmann (2012, 2013, 2014, 2016, 2019), that there is much more overlap than is usually recognised — and some surprising connections between theories. I will also offer a speculative explanation of the perceived and/or constructed differences, based on the sociology of (linguistic) science.

 倪传斌

倪传斌，现任南京师范大学语言科技研究所副所长、二级教授、博士生导师，“楚天学者”和“巴渝学者”兼职教授，兼任中国认知神经语言学研究会副会长，中国语言教育研究会副会长和江苏外国语言学会副会长。曾在《外语教学与研究》、《外国语》、《心理学报》和《当代语言学》等学术期刊上发表论文137篇（第一作者75篇），独立出版学术专著3部、合著1部、出版教材2部，发表译文27篇（约20万字）。

发言题目：

语言磨蚀研究的现状、问题与展望

摘要：

本文采用文献计量学的方法，从研究的发展趋势、高产作者和机构、研究热点等方面，梳理了近四十年来国内外语言磨蚀研究的主要学术成果。基于国内2006至2023年间143篇和国外1982至2023年间653篇语言磨蚀相关文献的文献计量学分析，本研究发现语言磨蚀研究现存的问题包括：（1）语言磨蚀的术语尚未统一，特别是在国内的研究中，混用的常见术语多达6个之多；（2）描述性的理论偏多，尤其是在外语磨蚀领域，侧重BIA的理论偏多；（3）应用研究侧重探讨防止磨蚀的措施和途径，忽视了“再学习”的优越性；（4）从心智概念的底层思考偏少，如：从心智哲学层面探讨语言磨蚀的属性等。针对上述问题，本文还阐述了对未来研究的展望。

任虎林

任虎林，现任北京科技大学外国语学院英语教授、博士生导师，北京科技大学外国语学院副院长。教育部学位评审专家、教育部高等学校行业英语教学指导委员会委员、中国语文现代化学会常务理事，语言认知与智能发展专业委员会副会长兼秘书长。出版学术编著3部，主编英语规划教材5部。在国外SSCI期刊以及《外语教学与研究》、《中国外语》和《外语教学理论与实践》等CSSCI和其它外语类重要刊物上发表论文40余篇。主要研究领域：心理语言学、二语习得、语言障碍、语言信号加工。

发言题目：

人机共生时代的语言认知与智能发展研究

摘要：

自从ChatGPT问世以后，“人-机-机-人”交际逐渐成为交际常态。人在生产、生活的诸多领域需要与机器进行语言合作。在“人机共生”时代，语言认知与智能发展的概念及理论体系有待进一步完善和拓展。传统的关于语言时空概念的认知及表征；传统范畴概念及范畴化的迭代更新以及概念隐喻理论的重塑等；尤其是词汇及句子加工所涉及的神经机制理论及语言智力和学能的发展问题；如何对语言数据进行建构和开展语言智能服务研究，如何针对语言智能认知的相关伦理问题进行探索，都是值得思考和研究的重要问题。

周统权

周统权，语言学及应用语言学博士、基础心理学博士后。现为东南大学外国语学院教授，主要从事神经语言学和认知语言学研究。先后在Brain and Language、Frontiers in Psychology、Brain Sciences、 Heliyon、System、《当代语言学》、《语言科学》、《语言文字应用》和《浙江大学学报》等期刊发表学术论文50余篇，完成论著四部（其中专著两部）。主要学术兼职包括中国神经语言学研究会理事、中国语言康复专业委员会常务理事、中国音乐心理学专业委员会常务理事、语言认知与智能发展专业委员会常务理事。

发言题目：

Chinese intermediate English learners outdid ChatGPT in deep cohesion: Evidence from English narrative writing

摘要：

ChatGPT is a publicly available chatbot that can quickly generate texts on given topics, but it remains unknown whether the chatbot is as good as or even superior to human writers in all aspects of writing, and whether the chatbot’s writing quality can be significantly improved by updating commands. To investigate the two issues, this study compared the writing performance on a narrative topic by ChatGPT and Chinese intermediate English (CIE) learners so as to reveal the chatbot’s advantages and disadvantages in writing.

The data were analyzed by virtue of the five discourse components using Coh-Metrix (a special instrument for analyzing language discourse). The results revealed that ChatGPT performed better than human writers in narrativity, word concreteness, and referential cohesion, but worse in syntactic simplicity and deep cohesion in its initial version. After its commands were updated, the resulting version was better in its syntactic simplicity, but it still lagged far behind the CIE learners’ writing in deep cohesion. In addition, a correlation analysis of the discourse components suggests that narrativity was correlated with referential cohesion for both ChatGPT and the human writers, but the correlations varied within each group.

中国语文现代化学会

语言认知与智能发展专业委员会

2023年10月13日

                        编辑｜周骁然

审核｜任雨菲