{"title":"On the replicability of corpus-derived medical word lists","authors":"Cosmin Mihail Florescu, Ryosuke L. Ohniwa","doi":"10.1016/j.acorp.2025.100130","DOIUrl":"10.1016/j.acorp.2025.100130","url":null,"abstract":"<div><div>Several English medical vocabulary lists have been developed using corpora compiled from a variety of medical texts including research articles and medical textbooks. List items have been identified for inclusion using criteria mostly adopted from previous studies focused on academic vocabulary. This study aims to employ a systematic approach in compiling a corpus to create a medical word list for learners of English aiming to study or practice medicine in an English-speaking country. A large corpus of medical textbooks (CoMeT; 28,384,681 running words) was created using SketchEngine and analyzed to extract high-frequency lemmas. Keyness and dispersion values for each lemma were plotted in a histogram to visualize clustering patterns. This visual map was used to determine threshold values separating a medical vocabulary subset from a general vocabulary subset. The replicability of the findings was evaluated using two corpora (one medical, one non-medical) different from CoMeT. The newly developed list (Core Medical List; CoMeL) comprising a total of 2881 lemmas was found to include significantly more medicine-specific words and to have higher replicability compared to existing lists. CoMeL may assist learners and educators in English for Medical Purposes programs, including those aiming to undertake challenging medical licensing examinations in English-speaking countries.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 2","pages":"Article 100130"},"PeriodicalIF":0.0,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874508","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":"Investigating writing development, cross-linguistic influence and feedback practices through a longitudinal corpus of children’s school writing","authors":"Hildegunn Dirdal , Eva Thue Vold","doi":"10.1016/j.acorp.2025.100131","DOIUrl":"10.1016/j.acorp.2025.100131","url":null,"abstract":"<div><div>This article reports on our work with child writing from the TRAWL Corpus, a longitudinal and multilingual corpus of school writing. We give examples of our work on vocabulary and complexity development, which utilizes the longitudinal design of the corpus, and on feedback practices and student uptake facilitated by the fact that many of the texts in the corpus include teacher comments. These studies illustrate how corpus data can be used in case studies and qualitative studies and emphasize the need for fine-grained classifications in learner corpus research. The TRAWL Corpus includes texts written in the five languages most commonly taught in Norwegian schools. We explain how our work on syntactic complexity and feedback practices is currently being expanded by an exploration of similarities and differences between language subjects and of interactions between the languages of individual learners through the project MULTIWRITE. The article highlights the benefits of corpora of authentic school writing that reflect the realities of the educational context and therefore can provide findings that are directly relevant and useful for the practice field</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 2","pages":"Article 100131"},"PeriodicalIF":0.0,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144106908","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":"How humans and machines identify discourse topics: A methodological triangulation","authors":"Mathew Gillings , Sylvia Jaworska","doi":"10.1016/j.acorp.2025.100121","DOIUrl":"10.1016/j.acorp.2025.100121","url":null,"abstract":"<div><div>Identifying and exploring discursive topics in texts is of interest to not only linguists, but to researchers working across the full breadth of the social sciences. This paper reports on an exploratory study assessing the influence that analytical method has on the identification and labelling of topics, which might lead to varying interpretations of texts. Using a corpus of corporate sustainability reports, totalling 98,277 words, we asked 6 different researchers to interrogate the corpus and decide on its main ‘topics’ via four different methods: LLM-assisted analyses; topic modelling; concordance analysis; and close reading. These methods differ according to the amount of data that can be analysed at once, the amount of textual context available to the researcher, and the focus of the analysis (i.e., micro to macro). The paper explores how the identified topics differed both between analysts using the same method, and between methods. We conclude with a series of tentative observations regarding the benefits and limitations of each method, and offer recommendations for researchers in choosing which analytical technique to select.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 1","pages":"Article 100121"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143159796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Anywhere but here: Discourses and representations surrounding same-sex marriage in Japanese newspapers","authors":"Keisuke Yoshimoto","doi":"10.1016/j.acorp.2025.100120","DOIUrl":"10.1016/j.acorp.2025.100120","url":null,"abstract":"<div><div>Although support for same-sex marriage has grown in Japan, discussions on its legalisation have been slow in the Japanese parliament. To contribute to a more meaningful discussion on this issue, this study uses corpus-driven and corpus-based methods to explore how issues surrounding same-sex marriage are represented in media discourse. It compares two corpora comprising articles from two Japanese national newspapers: the more conservative <em>Yomiuri Shimbun</em> (608,305 words) and liberal <em>Asahi Shimbun</em> (1,681,133 words). The data are from 1 April 2015, when Tokyo's Shibuya Ward started certifying same-sex couples, to 15 March 2024, the day after the Sapporo High Court ruled on same-sex marriage. Keywords, collocation, and concordance analysis are used to identify the differences in discourses and representations, exploring how their opinions on same-sex marriage are explicitly and implicitly delivered. The findings reveal that the <em>Yomiuri Shimbun</em> mostly depicts gay and lesbian people as fictional characters, or foreigners and argues against same-sex marriage in terms of child welfare. In contrast, <em>the Asahi Shimbun</em> considers the issues surrounding LGBTQ+ people to be related to human rights and criticises traditional heteropatriarchal family values as obstacles to advancing same-sex marriage movements and women's rights alike.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 1","pages":"Article 100120"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143159797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zsófia Demjén , Vaclav Brezina , Tara Coltman-Patel , William Dance , Richard Gleave , Claire Hardaker , Elena Semino
{"title":"‘I am still unsure…’ – Spontaneous expressions of vaccine indecision on Mumsnet","authors":"Zsófia Demjén , Vaclav Brezina , Tara Coltman-Patel , William Dance , Richard Gleave , Claire Hardaker , Elena Semino","doi":"10.1016/j.acorp.2025.100122","DOIUrl":"10.1016/j.acorp.2025.100122","url":null,"abstract":"<div><div>Vaccination programmes in 90 % of countries in the world have been affected by ‘vaccine hesitancy’. Childhood vaccinations are particularly important. Internationally, these vaccination rates have been declining, resulting in the resurfacing of communicable diseases previously considered eliminated. In this context, our paper examines parents’ unelicited expressions of vaccine indecision – dilemmas, hesitations and concerns related to vaccinating at the point of decision-making.</div><div>Our corpus-assisted discourse study combines discourse analysis and the qualitative and quantitative tools of corpus linguistics (text dispersion keywords and concordancing) to compare 422 Original Posts from the forum of the UK-based parenting website Mumsnet that outline vaccine indecision to vaccination discussions that do not involve decision-making difficulties. We examine what characterises authentic vaccine indecision in the localised context of Mumsnet users. Specifically, we analyse which vaccines Mumsnet users are undecided about; what concerns are linked to indecision specifically; and how such concerns are raised in a generally pro-vaccination online space. Our method combines the advantages of analysing large datasets with those of nuanced and localised qualitative analysis.</div><div>The vaccine that most consistently concerns parents is MMR. Concerns about other vaccines fluctuate with disease outbreaks and the introduction of new vaccines. The concerns linked to indecision specifically are mostly individual and vaccine-specific, and include the mode and timing of vaccinations, particular personal and family circumstances and a rather unspecific notion of side effects. Mumsnet users invite details about others' personal experiences to fill a need left by widely available general vaccine information. The implication is that health services may need to redirect resources from mass population level campaigns to more personalised and tailored approaches for parents who are hesitant about specific vaccines at particular points in time.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 1","pages":"Article 100122"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143210206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Is LIWC reliable, efficient, and effective for the analysis of large online datasets in forensic and security contexts?","authors":"Madison Hunter, Tim Grant","doi":"10.1016/j.acorp.2025.100118","DOIUrl":"10.1016/j.acorp.2025.100118","url":null,"abstract":"<div><div>This article evaluates the reliability, efficiency, and effectiveness of Linguistic Inquiry and Word Count (LIWC; Boyd et al., 2022) for the analysis of a white nationalist forum. This is important because LIWC has been the computational tool of choice for scores of studies generally and many examining extremist content in a forensic or security context. Our purpose, therefore, is to understand whether LIWC can be depended upon for large-scale analyses; we initially examine this here using a small sample of posts from a set of just eight users and manually checking the program's automated codings of a subset of categories. Our results show that the LIWC coding cannot be relied upon – precision falls to as low as 49.6 % and recall as low as 41.7 % for some categories. It would be possible to engage in considerable manual correction of these results, but this undermines its purported efficiency for large datasets.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 1","pages":"Article 100118"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143159794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The personal_relationship frame in love fraud","authors":"Pamela Faber","doi":"10.1016/j.acorp.2025.100119","DOIUrl":"10.1016/j.acorp.2025.100119","url":null,"abstract":"<div><div>This research analyzed the love fraud event within the context of the <span>Personal_Relation</span> and the <span>Intentional_Deception</span> frame in FrameNet. Of the concepts that characterize this event, the focus was on <span>Relationship,</span> namely, its stages, participants, and dimensions. The data consisted of extended conversations between 83 scammers and the author, which were recorded from January 2021 to June 2024. When the corpus was analyzed on the SketchEngine platform, the collocates of <em>relationship</em> with the highest LogDice scores were identified and structured. The results show that fraudsters use scripts to construct a romantic relationship with victims, which begins with friendship, progresses to ‘soulmateship’ and engagement, and finally ends in an online ‘marriage’. This is accomplished through the strategic use and repetition of terms that belong to the <span>Personal_Relation</span> frame in FrameNet. The objective is to extract as much money as possible from the victim.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"5 1","pages":"Article 100119"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143159795","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}