Applied Corpus Linguistics最新文献_第5页

ChatGPT for President! Presupposed content in politicians versus GPT-generated texts 选总统！政治家的预设内容与gpt生成的文本

IF 2.1

Applied Corpus Linguistics Pub Date : 2025-12-01 Epub Date: 2025-10-09 DOI: 10.1016/j.acorp.2025.100156

Davide Garassino , Nicola Brocca , Viviana Masia

{"title":"ChatGPT for President! Presupposed content in politicians versus GPT-generated texts","authors":"Davide Garassino , Nicola Brocca , Viviana Masia","doi":"10.1016/j.acorp.2025.100156","DOIUrl":"10.1016/j.acorp.2025.100156","url":null,"abstract":"<div><div>This study examines GPT-4′s capability to replicate linguistic strategies used in political discourse, focusing on its potential for manipulative language generation. As Large Language Models (LLMs) become increasingly popular for text generation, concerns have grown regarding their role in spreading fake news and propaganda. This research compares French and Italian political speeches with those generated by GPT-4, with an emphasis on presuppositions – a rhetorical device that may subtly influence audiences by packaging some content as already known at the moment of utterance. Through a corpus-based pragmatic analysis, this study assesses how well GPT-4 can mimic this persuasive strategy. Our findings show that, despite some apparent similarities, a closer look reveals important differences in their distribution and function compared to politicians. For example, GPT-generated texts often rely on change-of-state verbs used in fixed phrases, whereas politicians use presupposition triggers in more varied ways. Such differences, however, are challenging to detect with a ‘naked eye,’ and this represents a potential risk of LLMs in political and public discourse.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 3","pages":"Article 100156"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145622770","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}

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The role of adverbial clauses as a feature of clausal complexity in L2 academic writing: A usage-based, discourse perspective 二语学术写作中状语从句作为从句复杂性特征的作用：基于用法的话语视角

IF 2.1

Applied Corpus Linguistics Pub Date : 2025-12-01 Epub Date: 2025-09-21 DOI: 10.1016/j.acorp.2025.100154

Liming Liu

引用次数: 0

The social representation of ‘women’ on X platform before and after the launch of Saudi vision 2030 沙特2030愿景发布前后X平台上“女性”的社会代表

IF 2.1

Applied Corpus Linguistics Pub Date : 2025-12-01 Epub Date: 2025-07-11 DOI: 10.1016/j.acorp.2025.100140

Amal Alharbi, Areej Albawardi

{"title":"The social representation of ‘women’ on X platform before and after the launch of Saudi vision 2030","authors":"Amal Alharbi, Areej Albawardi","doi":"10.1016/j.acorp.2025.100140","DOIUrl":"10.1016/j.acorp.2025.100140","url":null,"abstract":"<div><div>This study investigates how Saudi males and females represent “women” on X (formerly Twitter), focusing on two distinct timeframes: 2015 (before Vision 2030) and 2022 (after Vision 2030). By integrating applied Corpus Linguistics (CL) and Critical Discourse Analysis (CDA), the research examines a corpus of 10,000 Arabic tweets (equally divided between male and female authors), thereby illuminating how broader social reforms correspond with shifts in online discourse. Specifically, we apply frequency counts, collocation analysis, and semantic prosody techniques in order to compare lexical choice, thematic focus, and evaluative stands in relation to Saudi women during both phases.</div><div>The findings reveal a discernible positive shift in attitudes after the official publication of Vision 2030. In 2015, the discourse was more likely to be about “spinsterhood,” boycotts, and guardianship, reflecting predominantly negative or restrictive portrayals of women. By 2022, tweets became more likely to be about empowerment, achievements, and national pride, suggesting changing social attitudes that increasingly legitimize women’s roles in workplaces, education, and public life. Although pockets of negativity persist—particularly in certain domains such as sports—these pockets of resistance are outnumbered by the overall trend towards more inclusive and celebratory discourses.</div><div>These results highlight how top-down reforms, such as the lifting of the driving ban and the promotion of women’s employment, have reshaped Saudi women’s discourse. Beyond its sociolinguistic and critical discourse studies contribution, this research highlights the power of large-scale policy changes in achieving shifts in everyday language and attitudes in conservative societies.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 3","pages":"Article 100140"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144780939","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}

引用次数: 0

Concordancing with AI: Applications of word and sentence embeddings 人工智能检索：词和句子嵌入的应用

IF 2.1

Applied Corpus Linguistics Pub Date : 2025-12-01 Epub Date: 2025-11-12 DOI: 10.1016/j.acorp.2025.100164

Laurence Anthony

{"title":"Concordancing with AI: Applications of word and sentence embeddings","authors":"Laurence Anthony","doi":"10.1016/j.acorp.2025.100164","DOIUrl":"10.1016/j.acorp.2025.100164","url":null,"abstract":"<div><div>Concordancing is a central method in corpus research. It also plays an important role in the data-driven learning (DDL) classroom, where learners use Key-Word-In-Context (KWIC) analysis to discover and implicitly learn lexical and grammatical patterns in a specific language domain. Effective concordancing requires users to craft precise single- or multi-word queries that capture the language features of interest, but these queries can quickly become complex and error-prone. The method also relies on users selecting, ordering, and grouping results in order to interpret them in a meaningful way, which can also be a significant challenge.</div><div>This paper proposes using word and sentence embedding models from the field of AI to facilitate both the querying of corpora and the interpretation of concordance results. First, the paper explains that embeddings are numerical representations of language that capture semantic and contextual information in a high-dimensional vector space. Next, the paper reports on three experiments using pre-trained embedding models (BERT, word2vec) looking at synonym searches, concordance grouping and ordering, and language variation analysis across two general English corpora. The results show that embeddings allow for ‘fuzzy’, nuanced, context aware searches of corpus data without the need for meticulous query crafting, and enable the grouping and ordering of results in novel, interesting, and useful ways.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 3","pages":"Article 100164"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145578582","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}

引用次数: 0

“Too young to love”: A corpus-assisted critical discourse analysis of adolescent romance on Chinese social media “太年轻而不能爱”：中国社交媒体上青少年浪漫的语料库辅助批评话语分析

IF 2.1

Applied Corpus Linguistics Pub Date : 2025-12-01 Epub Date: 2025-11-19 DOI: 10.1016/j.acorp.2025.100167

Xurui Ling , Xingbing Liu

{"title":"“Too young to love”: A corpus-assisted critical discourse analysis of adolescent romance on Chinese social media","authors":"Xurui Ling , Xingbing Liu","doi":"10.1016/j.acorp.2025.100167","DOIUrl":"10.1016/j.acorp.2025.100167","url":null,"abstract":"<div><div>Adolescent romance in China navigates a complex sociocultural landscape, marked by a discursive tension between evolving developmental understanding and deeply entrenched anxieties. This study employs a corpus-assisted critical discourse analysis of 1,740 WeChat articles and Sina Weibo posts (2020–2024) to investigate contemporary representations of adolescent romance. Findings reveal a ‘negotiated space’ where the increasing normalization of adolescent romance directly contends with historical apprehensions. A notable shift is observed from 20th-century criticism-dominated narratives towards a contemporary discourse featuring emergent supportive voices that reframe romance as integral to development. While critical views persist, their focus has transformed from broad moral condemnations to specific concerns about academic impact and adolescents’ psycho-emotional maturity. These insights are valuable for educators, policymakers, and researchers aiming to understand contemporary China’s social dynamics and youth development, offering a perspective on how digital platforms shape and reflect societal attitudes toward adolescent romance.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 3","pages":"Article 100167"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145624117","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}

引用次数: 0

Fighting fraud: Corpus-assisted approaches to understanding and disrupting fraud activity on the dark web 打击欺诈：语料库辅助方法来理解和破坏暗网上的欺诈活动

IF 2.1

Applied Corpus Linguistics Pub Date : 2025-12-01 Epub Date: 2025-10-23 DOI: 10.1016/j.acorp.2025.100159

Emily Chiang , Krzysztof Kredens , John Thornton

{"title":"Fighting fraud: Corpus-assisted approaches to understanding and disrupting fraud activity on the dark web","authors":"Emily Chiang , Krzysztof Kredens , John Thornton","doi":"10.1016/j.acorp.2025.100159","DOIUrl":"10.1016/j.acorp.2025.100159","url":null,"abstract":"<div><div>Financial fraud has risen steeply over the last decade and, according to data from the National Crime Agency, is currently recognised as the most commonly experienced crime in the UK, accounting for over 40 % of all crimes in England and Wales committed against individuals over 16. Much of this increase is attributed to the rise and evolution of online technologies which have ushered in a wave of new methods and opportunities for perpetrators as well as an era of unprecedented personal self-disclosure via social media by potential victims whose details can be readily exploited.</div><div>A key affordance to perpetrators is the rise of illicit marketplaces and crime-focused discussion fora on the dark web, i.e. a portion of the internet unindexed by mainstream search engines. Such spaces provide users a level of anonymity that makes policing them very difficult, yet they are fruitful sites for linguistic exploration regarding the behaviours and activities of the relevant communities of practice. We demonstrate the application of corpus methods to addressing online fraud by, firstly, showing how a linguistically-informed understanding of online fraud communities’ interactions can assist the undercover policing of dark-web fraud fora with regard to the specific task of community infiltration. Secondly, we address the problem from a commercial perspective, demonstrating how corpus analytic methods can inform online tools designed to help commercial entities monitor dark-web spaces for fraud activity related to their products, and how popular corpus tools can be tweaked for use by non-linguist audiences for this purpose.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 3","pages":"Article 100159"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416011","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}

引用次数: 0

Adjectives and deception: A view from linguistic theory 形容词与欺骗：语言学理论视角

IF 2.1

Applied Corpus Linguistics Pub Date : 2025-12-01 Epub Date: 2025-08-26 DOI: 10.1016/j.acorp.2025.100150

Willem B. Hollmann , Mathew Gillings

{"title":"Adjectives and deception: A view from linguistic theory","authors":"Willem B. Hollmann , Mathew Gillings","doi":"10.1016/j.acorp.2025.100150","DOIUrl":"10.1016/j.acorp.2025.100150","url":null,"abstract":"<div><div>This study addresses the challenge of deceptive opinion spam, a growing concern for e-commerce and consumer trust. Building on established psychological theories of deception and focusing on hotel reviews, we expand current approaches by incorporating a Radical Construction Grammar (RCG; Croft, 1990, 1991, 2001, 2022) perspective on adjectives. Traditional part-of-speech taggers define adjectives largely through morphological and syntactic criteria, lumping property modifiers together with property predicates. Based on Croft’s more refined framework, we suggest that the cognitive load associated with property words used attributively (e.g., <em>the <u>white</u> door</em>) is higher than in predicative positions (e.g., <em>the door is <u>white</u></em>). We analyse a subset of the Deceptive Opinion Spam Corpus (DOSC) and find attributive property words to be significantly more frequent in truthful reviews, whereas predicative forms show no variation. This distinction proved more effective than a traditional POS-tagger based definition of adjectives in separating authentic from fake reviews. The manual coding required for the RCG-based approach was resource-intensive, but even modest accuracy gains could be crucial in high-stakes scenarios. Future work should investigate whether a Croftian approach can be operationalised through automated taggers and whether these findings extend to other deceptive contexts. The paper highlights the benefit of a more theoretically grounded view of linguistic categories in forensic settings. A truly interdisciplinary effort that draws on advanced linguistic theory as much as on psychological theories of deception, and operationalises the approach computationally, thus promises to yield efficient and more effective deception detection systems.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 3","pages":"Article 100150"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144988698","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}

引用次数: 0

Corpus sense: A comprehensive tool for advanced text and discourse exploration 语料库感知：高级文本和话语探索的综合工具

IF 2.1

Applied Corpus Linguistics Pub Date : 2025-12-01 Epub Date: 2025-08-13 DOI: 10.1016/j.acorp.2025.100145

Antonio Moreno-Ortiz

引用次数: 0

L2 acquisition of unaccusative verbs in pre-intermediate middle school learners through indirect DDL: A study on change-of-state verbs and verbs of occurrence 通过间接DDL学习非宾格动词的二语习得：状态变化和发生动词的研究

Applied Corpus Linguistics Pub Date : 2025-12-01 Epub Date: 2025-07-09 DOI: 10.1016/j.acorp.2025.100139

Jina Son , Seyeon Park , Youjung Park , Hyebin Seo

引用次数: 0

Forensic authorship profiling using geolocated social media data: A corpus linguistic and cartographic approach 使用地理定位的社会媒体数据的法医作者分析：语料库语言和制图方法

IF 2.1

Applied Corpus Linguistics Pub Date : 2025-12-01 Epub Date: 2025-08-24 DOI: 10.1016/j.acorp.2025.100146

Dana Roemling

{"title":"Forensic authorship profiling using geolocated social media data: A corpus linguistic and cartographic approach","authors":"Dana Roemling","doi":"10.1016/j.acorp.2025.100146","DOIUrl":"10.1016/j.acorp.2025.100146","url":null,"abstract":"<div><div>This paper explores the use of corpus-based methods for regional authorship profiling in forensic linguistics. Traditional approaches depend on linguistic expertise to identify regional markers, but this has limitations: it relies on an analyst’s intuition and potentially outdated dialect resources. Furthermore, traditional dialectology typically does not support word frequency analysis.</div><div>This study argues for the use of large, geolocated datasets to modernise regional authorship profiling. Unlike traditional dialect atlases, corpora provide access to contemporary, naturally occurring data, allowing for nuanced frequency analyses. Spatial statistics, such as Moran’s <em>I</em>, and tools like R allow for the rapid visualisation of regional linguistic patterns, enhancing both analysis and communication in legal contexts.</div><div>Using a case study based on a corpus of 15 million social media posts, this paper demonstrates the advantages of corpus-based methods in regional authorship profiling. It finds that for the 10,000 most frequent words in the dataset, Moran’s <em>I</em> values ranged from 0.071 to 0.768 (mean = 0.329), with strongly regional terms such as <em>etz</em> (“now”; <em>I</em> = 0.739) and <em>guad</em> (“good”; <em>I</em> = 0.511) showing clear spatial clustering. This data-driven, spatial statistical approach enables the extraction of regional markers without relying on expert intuition. Consequently, the approach provides a more objective and scalable method for identifying regional language patterns, enhancing forensic casework while also reducing the reliance on potentially outdated dialect resources.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 3","pages":"Article 100146"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144907626","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}

引用次数: 0