Bridging corpus diagnostics and EAP pedagogy: A corpus-driven study on lexical hedges in Chinese scholars’ spoken academic English
Abstract
As the internationalization of higher education intensifies — particularly under China’s “Double First-Class” initiative — Chinese scholars are increasingly expected not only to publish in English but also to perform effectively in high-stakes spoken genres such as conference talks, keynote lectures, and doctoral defences. Yet pragmatic features such as hedging remain a persistent barrier, often leading to pragmatic failure in real-time interactions. This study addresses this challenge through an integrated approach that couples corpus-based diagnostics with pedagogical design. Specifically, it investigates the use of lexical verb hedges in Chinese scholars’ spoken academic English by comparing a self-compiled Chinese Scholars’ Academic Spoken English Corpus (CASEC; 696,009 words; 279 events) with the Michigan Corpus of Academic Spoken English (MICASE; 1,848,364 words; 152 events). Following Granger’s reappraised Contrastive Interlanguage Analysis 2.0, MICASE is treated not as a native-speaker benchmark but as one Anglo-American reference variety against which typical L2 patterns can be described. Quantitative analysis revealed that Chinese scholars significantly underused individualized stance markers (e.g., I think) and significantly overused collective, consensus-building markers (e.g., We see). Qualitative analysis interprets these patterns through the lens of cross-cultural pragmatics and genre constraints, suggesting a rhetorical strategy oriented toward collective harmony and the diffusion of authorial responsibility. Crucially, the study moves beyond diagnosis to propose a “diagnosis-to-treatment” pipeline, culminating in a step-by-step Data-Driven Learning (DDL) module complete with full classroom worksheets. The pedagogical design aims to raise scholars’ pragmatic awareness and enhance their international academic communication competence.
Article Details
Authors (5)
Yinchun Wang
Yang Yu
Hanlin Song
Yongkang Wu
Lexuan Lin