{"title":"Factors influencing number marking errors in spoken English by L1 Chinese learners: A learner corpus study","authors":"Dongchen Yao","doi":"10.1016/j.acorp.2025.100187","DOIUrl":"10.1016/j.acorp.2025.100187","url":null,"abstract":"<div><div>Number marking represents a fundamental aspect of English, whereas Chinese lacks inflection for number and does not morpho-syntactically encode a number distinction. As a result, Chinese learners of English have been shown to exhibit difficulties in fully acquiring number marking. The present study aims to add to our understanding of the difficulties faced by Chinese learners of English by examining what factors correlate with number-marking errors in English nouns. The analysis draws on the Chinese subcomponent of monologues in the <em>International Corpus Network of Asian Learners of English</em> (ICNALE), focusing on L2 English learners whose first language is Mandarin Chinese (henceforth Chinese). A mixed-effects logistic regression analysis was conducted to examine both linguistic factors (i.e., count-mass distinction, concreteness, atomicity, determiner, and L1 transfer) and sociolinguistic factors (i.e., sex, age, and proficiency). The statistical results reveal that count-mass distinction, concreteness, and the use of determiners are the most important predictors of number-marking errors in English nouns. Mass nouns, concrete nouns, and the presence of determiners are associated with a lower likelihood of number-marking errors compared to their counterparts. Abstract count nouns pose the greatest challenge for Chinese learners of English, with most errors occurring in the singular form of count nouns.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"6 1","pages":"Article 100187"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Semantic prosody as a part of attitudinal meaning: Its effect on the processing of synonymous words","authors":"Leyla Çimen , Günçe Günduğdu , Nermin Yazıcı","doi":"10.1016/j.acorp.2025.100184","DOIUrl":"10.1016/j.acorp.2025.100184","url":null,"abstract":"<div><div>Speakers may utilize grammatical, lexical, or syntactic resources at the discourse level to encode attitudes. From the perspective of Appraisal Theory, such an attitude includes emotional reactions, judgments, and evaluations. This study investigates how semantic prosody, a linguistic resource that generates attitudinal meaning, influences the processing of synonyms. To achieve this end, lexical priming and lexical decision tasks were conducted with 39 participants using a within–subject design. In the lexical priming task, semantic prosody was found to have a priming effect on the recognition of synonyms that are compatible with its own semantic prosody. In the lexical decision task, semantic prosody was found to shorten reaction times in the recognition of word units that were consistent with their own semantic prosody. The findings indicate that, in addition to emotion–laden words, which explicitly, metaphorically, or attitudinally signal attitudes, semantic prosody also acquires attitudinal meaning, contributing to processing. This attitudinal function of semantic prosody indicates that, as a result of associative learning, it acquires selective attention through frequent and consistent usage, thereby generating an automatized response. The attitudinal relationship that semantic prosody establishes with collocations in the text has been discussed in terms of how and why it affects the processing of words, and the underlying acquisitional processes have been described. As the first study to investigate the processing of Turkish synonyms with different semantic prosodies, this research is expected to provide a basis for further research.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"6 1","pages":"Article 100184"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A corpus study of lexical richness in three groups of learners: are heritage learners in between monolingual native and L2 learners?","authors":"Irene Checa-García","doi":"10.1016/j.acorp.2025.100182","DOIUrl":"10.1016/j.acorp.2025.100182","url":null,"abstract":"<div><div>This study investigated lexical richness across three learner groups to determine heritage language learners’ (HLL) position relative to monolingually-raised native speakers (MNS) and second language learners (L2L). Using corpus analysis of written compositions from 94 university students (36 HLL, 30 L2L, 28 MNS), lexical diversity, density, and sophistication were examined alongside self-perceived vocabulary abilities and difficulties.</div><div>Results revealed distinct patterns across indices and acquisition groups. Lexical diversity was primarily influenced by self-reported difficulties finding words and using sophisticated vocabulary, with minimal group differences except that MNS showed less diversity reduction when experiencing word-finding difficulties. Lexical density showed the strongest group effect: L2Ls exhibited significantly higher density (a 0.39 units increase) compared to HLLs, likely due to omission of mandatory Spanish function words through English transfer—an effect absent in HLLs. For lexical sophistication, MNS demonstrated significantly higher scores than both HLL and L2L groups, though with modest effect sizes. Self-perceived vocabulary abilities were generally associated with diversity measures across all groups, while sophistication—the most reliable indicator of writing quality in previous research—showed no relationship to learners' perceived difficulties or abilities.</div><div>These findings suggest HLLs align more closely with MNS in most lexical richness measures except sophistication, where they pattern with L2Ls. Results also suggest that lexical density inadequately measures informational content at intermediate L2 levels due to syntactic interference, while sophistication may be the lexical aspect in more need of instruction for acquisition groups that may receive less often sophisticated words input, such as L2L and HLL.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"6 1","pages":"Article 100182"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Studying webcare across industries: from customer care to relationship management","authors":"Ursula Lutzky","doi":"10.1016/j.acorp.2025.100175","DOIUrl":"10.1016/j.acorp.2025.100175","url":null,"abstract":"<div><div>Businesses regularly engage in digital business communication by addressing stakeholders and responding to their feedback online. While previous research has explored these interactions from diverse perspectives, industry-specific differences have not been studied extensively to date. This article addresses this gap in research by studying the digital interactions of US companies from three different industries (airlines, food and beverage, streaming services) to uncover their approach to communicating with stakeholders online, also known as webcare. The study is based on the US Corporate Twitter Corpus, which includes 4.4m English tweets posted by and addressed to US companies, such as American Airlines, Burger King and HBO, between September 2021 and February 2023. By carrying out a keyword analysis, it investigates differences in the digital communication of the industries studied and links them to the organizational goals of webcare, including customer care, marketing, and reputation and relationship management. The findings of the corpus linguistic analysis show that the three industries engage in webcare to different ends. While airlines have a clear focus on customer care, streaming services and food and beverage use webcare primarily for marketing and relationship management purposes, highlighting the role of user engagement in online interactions. These findings underline the importance of taking the industry into account when engaging in webcare research and interpreting its results, which may not be generalizable across industries. At the same time, they give insight into industry-specific practice by revealing differences in the organizational strategy and goal pursued when interacting with stakeholders online.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"6 1","pages":"Article 100175"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring engineering discourse through phrase-frames: Pedagogical recommendations","authors":"Tatiana Nekrasova-Beker","doi":"10.1016/j.acorp.2026.100188","DOIUrl":"10.1016/j.acorp.2026.100188","url":null,"abstract":"<div><div>This paper discusses how the phraseology of the engineering discourse can be explored through the analysis of multi-word sequences that include a variable component – 5-word phrase-frames (or p-frames, e.g., <em>at the top * the, based on the *of</em>). Target p-frames identified in pedagogical materials employed in undergraduate engineering courses were further subjected to a series of analyses focusing on frequency, range, predictability of filler distribution, discourse functions, and evaluation of most frequent fillers occupying the variable slot in order to identify sequences that can be prioritized during language-focused instruction. The results indicated that many of the frequent p-frames identified across engineering sub-corpora were typically unpredictable, multifunctional, and captured a range of content from general academic to specific to engineering sub-domains. Based on the findings, pedagogical recommendations for language practitioners who target discipline-specific language patterns in their English for Academic Purposes (EAP) or English for Specific Purposes (ESP) classes are discussed.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"6 1","pages":"Article 100188"},"PeriodicalIF":2.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Epistemic lexical verbs in academic writing: A corpus-based comparative study of L1 English and L1 Chinese writers of English","authors":"Fei Xie, Amanda Patten","doi":"10.1016/j.acorp.2025.100144","DOIUrl":"10.1016/j.acorp.2025.100144","url":null,"abstract":"<div><div>Epistemic lexical verbs (ELVs) are critical to English academic writing where writers need to deliver their statements with an appropriate level of modesty and certainty. Drawing on Hyland’s (1998) taxonomy of ELVs, the study combines both quantitative and qualitative methods to examine how L1 Chinese writers use ELVs to express modality differently from L1 English writers in terms of frequency, range, sentence and grammatical construction. The investigation was conducted on two specialised corpora, comprising academic texts written by postgraduate students of L1 Chinese and L1 English respectively. The findings indicate that L1 Chinese writers tend to rely on a different range of devices and express a stronger commitment. Moreover, L1 Chinese students’ usage of ELVs is less balanced in terms of the grammatical patterns and sentence constructions, and some misuses can be identified in their writing. The authors also highlight the potential reasons behind these findings and propose pedagogical suggestions to improve learners’ pragmatic competence in this important area.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 3","pages":"Article 100144"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144858199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"CHEU-lex: a parallel multilingual corpus of Swiss and EU legislation","authors":"Annarita Felici","doi":"10.1016/j.acorp.2025.100151","DOIUrl":"10.1016/j.acorp.2025.100151","url":null,"abstract":"<div><div>This paper describes the design and construction of CHEU-lex, a parallel and comparable corpus of Swiss and European Union (EU) legislation. Data are available in the three languages of the Swiss Confederation (French, German and Italian) and include bilateral agreements between Switzerland and the EU and their reception in Swiss law. The corpus is a richly annotated multilingual resource and allows the analysis of legal language at several levels (macro-textual, lexical, morphosyntactic) and according to different perspectives (monolingual, cross-lingual, cross-textual, diachronic). The goal is to highlight key properties of CHEU-lex, discuss issues of legal corpus compilation and, finally, outline some applications for translation and legal linguistic research.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 3","pages":"Article 100151"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145104876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The multisemiotic dimension of 5G news: A corpus-based discursive news values analysis","authors":"Youqi Kong , Wei Lin","doi":"10.1016/j.acorp.2025.100153","DOIUrl":"10.1016/j.acorp.2025.100153","url":null,"abstract":"<div><div>Chinese technology has emerged as a highly debated and newsworthy topic in recent years. While much scholarly attention has been devoted to analyzing news texts, the role of news photographs in shaping perceptions of newsworthiness remains underexplored. This study bridges this gap by examining the interplay between textual and visual news values in Chinese and US media coverage of 5G networks. Drawing on a corpus of 275 news articles published between 2017 and 2021 in China Daily, The Washington Post, and The New York Times, we employ the discursive news values analysis (DNVA) framework, augmented by corpus linguistic techniques and AI-driven image annotation tools. The findings reveal distinct patterns: Chinese media emphasizes Positivity, Personalization, and Proximity, whereas US media prioritizes Negativity, Eliteness, and Proximity. The differences in the multisemiotic construction of news values reflect underlying sociocultural ideologies and geopolitical dynamics, offering fresh insights into the media’s role in shaping global technological narratives.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 3","pages":"Article 100153"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145104875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A corpus-assisted discourse analysis of children’s and groomers’ talk in online grooming interactions","authors":"Craig Evans , Nuria Lorenzo-Dus","doi":"10.1016/j.acorp.2025.100147","DOIUrl":"10.1016/j.acorp.2025.100147","url":null,"abstract":"<div><div>Harmful communication may not always be recognisable as such, especially when it is manipulative and deceptive and appears to be indistinguishable from innocuous communication. This is the case with online child sexual grooming, where talk from interactions between groomers and children may resemble that seen between friends or consenting adults chatting. However, recognising that online grooming may be taking place is not simply a matter of spotting tell-tale words or phrases. It requires engaging with ways that online grooming is discursive: involving groomers and children using language to perform particular functions as they pursue different goals through a dynamic exchange. We address this need in this study by providing the first ever <em>complete</em> account of online grooming discourse, one that identifies features not only of groomers’ talk but also of children’s, using collocates of the most frequent content words in a corpus of each. Comparing findings between the two highlights distinctiveness that helps make online grooming communication more identifiable. It also reveals strong similarity, perhaps reflecting groomers’ efforts to minimise perpetrator/victim contrast for deception purposes. An advantage of using a corpus-assisted discourse studies approach, as found in our study, is that it can uncover subtle, non-obvious patterns that may serve as indicators of online grooming despite such deception.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 3","pages":"Article 100147"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144932318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Predicting verb forms in reporting and reported clauses: A corpus-based study of academic citations","authors":"Atikhom Thienthong","doi":"10.1016/j.acorp.2025.100155","DOIUrl":"10.1016/j.acorp.2025.100155","url":null,"abstract":"<div><div>Verb forms are crucial time-reference expressions in academic citations, observed to be affected by citational and linguistic features, such as citation forms, reporting subjects, and reporting verbs (i.e., citation-internal features). Using a corpus of 852 journal articles, this first corpus-based study investigates a range of citation-internal factors in 3,694 academic citations to determine their main and interaction effects on the choice of verb forms through multinomial logistic regression modeling. The original and bootstrapped results show that most of the main factors significantly predict the selection of verb forms in reporting and reported clauses. The occurrence of reporting and reported verb forms is affected by the number of sources, citation forms, subject animacy, meaning-based verbs, and activity verbs. However, while subject definiteness strongly affects reporting verb forms but not reported ones, the reverse is true for evaluation verbs. In addition, two significant interaction terms are observed for reported verb forms; general subjects and tentative verbs interact to choose the present, while multiple sources interact with non-integral citations to influence the choice of modal verbs. The results underscore the importance of citation-internal features in influencing and contextualizing the use of verb forms to express temporal reference in academic citations.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 3","pages":"Article 100155"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145320233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}