{"title":"Adverb placement by Chinese EFL learners: A MuPDAR(F) approach","authors":"Zhurun Li, Ying Huang","doi":"10.1016/j.lingua.2025.104095","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates stance adverb placement in academic argumentative writing by Chinese EFL learners compared to native English speakers. Previous work has mainly examined overall distribution or misplacement, with little focus on learners’ positional preferences. Traditional statistical methods assuming data independence also limit analysis of the multifactorial nature of adverb placement. To address this, the study applies Multifactorial Prediction and Deviation Analysis using Regression or Random Forests (MuPDAR(F)) to the placement of epistemic and style stance adverbs, by integrating syntactic, semantic, and discourse-level variables such as semantic coherence and sentiment value. The results show systematic learner deviations, most evident in M3 (the position following the main lexical verb), influenced by −ly suffixation, auxiliary presence, and L1 transfer from Chinese. Learners also overuse clause-initial high-certainty adverbs (e.g., <em>absolutely</em>), indicating less syntactic flexibility. Positive sentiment promotes more native-like placement, especially in M3 contexts. Findings highlight how syntactic and discourse factors interact in shaping stance adverb placement, refine second language (L2) morphosyntactic models, and suggest pedagogical strategies for mitigating L1 transfer and raising pragmatic awareness.</div></div>","PeriodicalId":47955,"journal":{"name":"Lingua","volume":"332 ","pages":"Article 104095"},"PeriodicalIF":1.3000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lingua","FirstCategoryId":"98","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0024384125002207","RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/8 0:00:00","PubModel":"Epub","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates stance adverb placement in academic argumentative writing by Chinese EFL learners compared to native English speakers. Previous work has mainly examined overall distribution or misplacement, with little focus on learners’ positional preferences. Traditional statistical methods assuming data independence also limit analysis of the multifactorial nature of adverb placement. To address this, the study applies Multifactorial Prediction and Deviation Analysis using Regression or Random Forests (MuPDAR(F)) to the placement of epistemic and style stance adverbs, by integrating syntactic, semantic, and discourse-level variables such as semantic coherence and sentiment value. The results show systematic learner deviations, most evident in M3 (the position following the main lexical verb), influenced by −ly suffixation, auxiliary presence, and L1 transfer from Chinese. Learners also overuse clause-initial high-certainty adverbs (e.g., absolutely), indicating less syntactic flexibility. Positive sentiment promotes more native-like placement, especially in M3 contexts. Findings highlight how syntactic and discourse factors interact in shaping stance adverb placement, refine second language (L2) morphosyntactic models, and suggest pedagogical strategies for mitigating L1 transfer and raising pragmatic awareness.
期刊介绍:
Lingua publishes papers of any length, if justified, as well as review articles surveying developments in the various fields of linguistics, and occasional discussions. A considerable number of pages in each issue are devoted to critical book reviews. Lingua also publishes Lingua Franca articles consisting of provocative exchanges expressing strong opinions on central topics in linguistics; The Decade In articles which are educational articles offering the nonspecialist linguist an overview of a given area of study; and Taking up the Gauntlet special issues composed of a set number of papers examining one set of data and exploring whose theory offers the most insight with a minimal set of assumptions and a maximum of arguments.