数据驱动语体研究的进展与前瞻  

New Trends of Data-Driven Genre Studies

作　　者：王雅琴 刘海涛[2] WANG Yaqin;LIU Haitao(Guangdong University of Foreign Studies;Zhejiang University)

机构地区：[1]广东外语外贸大学 [2]浙江大学

出　　处：《现代外语》2023年第5期700-710,共11页Modern Foreign Languages

基　　金：教育部人文社科基金项目“基于语料库的英汉社交媒体句法计量研究”(21YJC740060)和教育部人文社科重点研究基地重大项目“数据驱动的外语能力发展研究”(22JJD740018)的阶段性成果。

摘　　要：语体研究是应用语言学研究的重要领域,但因涉及因素多,不少问题仍亟待解决。数据驱动的定量方法为语体研究带来了新的机遇。本文首先介绍语体研究的主要方法,包括语料库语言学方法、多维度多特征分析以及计量语言学方法,继而从理论描写和实践运用两方面回顾语体定量研究的新进展,并对前人研究的局限和不足进行述评,最后从完善定量方法、拓展理论描写研究和加强实践导向性研究三个方面展望未来研究趋势。Genre studies are a key area in applied linguistic research.Due to the many factors involved in genre research,however,there are still pressing issues to be addressed.Data-driven quantitative methods have brought new opportunities to address these issues.This paper first introduces the main research tools used in previous genre studies,including corpus linguistic methods,multidimensional analysis and quantitative linguistic methods,and then reviews quantitative genre research from two perspectives,namely,theoretical and practice-oriented studies.The limitations and weaknesses of these studies are also discussed,followed by an outlined conclusion of future trends of quantitative genre research in three ways,namely,modifying quantitative methods,expanding theoretical studies,and strengthening practice-oriented research.

关 键 词：语体研究 多维度多特征分析 计量语言学方法 数据驱动 

分 类 号：H051[语言文字—语言学]