Applied Corpus Linguistics最新文献

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 : 2025-09-21 DOI: 10.1016/j.acorp.2025.100154

Liming Liu

引用次数: 0

The multisemiotic dimension of 5G news: A corpus-based discursive news values analysis 5G新闻的多符号学维度：基于语料库的话语新闻价值分析

IF 2.1

Applied Corpus Linguistics Pub Date : 2025-09-08 DOI: 10.1016/j.acorp.2025.100153

Youqi Kong , Wei Lin

引用次数: 0

CHEU-lex: a parallel multilingual corpus of Swiss and EU legislation CHEU-lex：瑞士和欧盟立法的平行多语言语料库

IF 2.1

Applied Corpus Linguistics Pub Date : 2025-09-04 DOI: 10.1016/j.acorp.2025.100151

Annarita Felici

引用次数: 0

Corpus linguistics for safeguarding children online 保护儿童网络安全的语料库语言学

IF 2.1

Applied Corpus Linguistics Pub Date : 2025-08-26 DOI: 10.1016/j.acorp.2025.100149

Mark McGlashan , Charlotte-Rose Kennedy

{"title":"Corpus linguistics for safeguarding children online","authors":"Mark McGlashan , Charlotte-Rose Kennedy","doi":"10.1016/j.acorp.2025.100149","DOIUrl":"10.1016/j.acorp.2025.100149","url":null,"abstract":"<div><div>Safeguarding children in schools broadly refers to the actions taken to protect children from abuse, prevent damage to health and development, and promote conditions that would improve the life chances of children. To safeguard children, UK schools must implement filtering and monitoring software to “block harmful and inappropriate content without unreasonably impacting teaching and learning” (Department for Education, 2024: 40). The industry standard method for monitoring online language use in schools is ‘keyword monitoring’, which identifies the use or presence of specific words or phrases (e.g. ‘bomb’) that correlate with a specific form of risk (e.g. violence). However, this approach typically depends on lists of words isolated from their context(s) of use and tends only to raise concerns if there is a direct match to a ‘keyword’. This can lead to ‘false positives’ whereby a 'keyword' match raises an automatic safeguarding concern (e.g. ‘bomb’) even if the use of the keyword was innocuous (e.g. ‘bath bomb’). This paper introduces corpus linguistics as a set of methods and approaches to enhance the effectiveness of filtering and monitoring through a case study based on a 1094,914-word corpus of online testimonies relating to suicide. In doing so, we demonstrate how corpus methods and analysis of authentic language data can be used to identify and contextualise safeguarding concerns. The practical applications of this research are intended to help schools to better protect children from the illegal and legal (but harmful) online materials that currently pose a threat to their safety and wellbeing.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 3","pages":"Article 100149"},"PeriodicalIF":2.1,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144925094","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

Legal cynicism in Men’s Rights discourses: Using corpus linguistics to investigate how distrust in the legal system excuses and perpetuates sexual violence against women 男性权利话语中的法律犬儒主义：运用语料库语言学研究对法律制度的不信任如何为针对妇女的性暴力提供借口和延续

IF 2.1

Applied Corpus Linguistics Pub Date : 2025-08-26 DOI: 10.1016/j.acorp.2025.100148

Kate Barber

{"title":"Legal cynicism in Men’s Rights discourses: Using corpus linguistics to investigate how distrust in the legal system excuses and perpetuates sexual violence against women","authors":"Kate Barber","doi":"10.1016/j.acorp.2025.100148","DOIUrl":"10.1016/j.acorp.2025.100148","url":null,"abstract":"<div><div>The term <em>legal cynicism</em> refers to a type of legal disengagement which is associated with a lack of internal commitment to follow legal rules and a failure to acknowledge legal authority, typically stemming from perceived ongoing injustices and rights deprivations. This perception of the criminal justice system enables individuals in extremist communities to rationalise criminal actions, leading to an increased propensity for violent behaviour. Effectively identifying content such as this within online discourses has been argued to be the initial step in mitigating this propensity for violence and corpus linguistic methods, employed as entry points into these discourses, offer effective tools to do such analysis.</div><div>Using a 122,000-word corpus of online discourses produced by Men’s Right’s Activists (MRAs) on blogs and the subreddit <em>r/MensRights</em>, quantitative and qualitative approaches are used in this corpus-assisted discourse analysis to determine how legal cynicism is indexed and generated. The ways in which the criminal justice systems in both the United States and United Kingdom are contextualised and reframed to embed legal cynicism in MRA discourses, and the evidential and legal processes highlighted as problematic by MRAs, are explored. The paper discusses the impact of this reframing of the criminal justice system on the potential for violence through conspiracy theories and legal disengagement. It concludes with suggestions for addressing legal cynicism through prebunking and educational strategies designed to challenge misconceptions of criminal justice processes.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 3","pages":"Article 100148"},"PeriodicalIF":2.1,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144988699","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 : 2025-08-26 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":"2025-08-26","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

A corpus-assisted discourse analysis of children’s and groomers’ talk in online grooming interactions 基于语料库辅助的在线梳理互动中儿童和美容师谈话的话语分析

IF 2.1

Applied Corpus Linguistics Pub Date : 2025-08-25 DOI: 10.1016/j.acorp.2025.100147

Craig Evans , Nuria Lorenzo-Dus

{"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":"2025-08-25","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}

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 : 2025-08-24 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":"2025-08-24","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

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 : 2025-08-13 DOI: 10.1016/j.acorp.2025.100145

Antonio Moreno-Ortiz

引用次数: 0

A Comparative Study of Graded Vocabulary Features in HSK Level 6 Listening Materials and Media Audio, and an Analysis of the Graded Word List HSK六级听力材料与媒体音频分级词汇特征对比研究及分级词表分析

IF 2.1

Applied Corpus Linguistics Pub Date : 2025-08-09 DOI: 10.1016/j.acorp.2025.100143

Nan Xue PhD (student) , Jimin Wang PhD (Professor)

引用次数: 0