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Journal articles on the topic 'Textometric study'

Author: Grafiati

Published: 8 June 2024

Last updated: 31 July 2025

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1

Degeneve, Clara, Julien Longhi, and Quentin Rossy. "Distinguishing Sellers Reported as Scammers on Online Illicit Markets Using Their Language Traces." Languages 9, no. 7 (2024): 235. http://dx.doi.org/10.3390/languages9070235.

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Fraud exists on both legitimate e-commerce platforms and illicit dark web marketplaces, impacting both environments. Detecting fraudulent vendors proves challenging, despite clients’ reporting scams to platform administrators and specialised forums. This study introduces a method to differentiate sellers reported as scammers from others by analysing linguistic patterns in their textual traces collected from three distinct cryptomarkets (White House Market, DarkMarket, and Empire Market). It distinguished between potential scammers and reputable sellers based on claims made by Dread forum users

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2

Li, Huixian, and Yongyan Zheng. "Complex Dynamic Systems Theory in Second Language Learning and Teaching: A Textometric Review from 2008 to 2022." Language Teaching Research Quarterly 39 (December 2023): 68–95. http://dx.doi.org/10.32038/ltrq.2024.39.07.

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Complex Dynamic Systems Theory (CDST) has significantly reshaped our understanding of second language learning and teaching across the micro, meso, and macro levels for several decades since its systematic introduction by Larsen-Freeman and Cameron (2008). This study conducts a comprehensive review of empirical research on second language learning and teaching within the framework of CDST from 2008 to 2022. Textometric analysis, a computer-supported qualitative method for textual analysis, was employed to conduct the review by using the IRAMUTEQ software. A total of 198 publications were ident

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LOKONON, Clémentine Rosemonde Mahougnon. "Discours d’investiture de mai 2021 au Bénin : Patrice Talon et la construction des relations à travers l’usage des déictiques personnels." ALTRALANG Journal 3, no. 02 (2021): 93–115. http://dx.doi.org/10.52919/altralang.v3i02.126.

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ABSTRACT: Our contribution concerns the analysis of personal deictics asindicators of the construction of the contractual stake that should govern theinaugural speech, a psycho-social discourse rather than political advertising.Thus, between "I / You", this work resizes the enunciative system of the oath, thePresident of the Republic, acting subject. While taking inspiration from thework of E. Goffman 1987, L. Mondada 2002, P. Charaudeau 2006, C. Lokonon2016 and M. Angenot 2017, this descriptive and textometric study describes therealization of the locutionary space of Patrice Talon. RÉS

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Rudenko, Elena S., and Marina Yu Semenova. "Artificial vs human intelligence: a case study of translating jokes based on wordplay." Research Result. Theoretical and Applied Linguistics 10, no. 4 (2024): 53–93. https://doi.org/10.18413/2313-8912-2024-10-4-0-4.

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Artificial intelligence (AI) technologies used in professional translation question the effectiveness of human-AI interaction. Deep learning can mimic human cognitive processes, accordingly suggesting that AI could reproduce the logic and mechanics of the source text in the target language. The study necessitates an objective assessment of the neural machine translation (NMT) naturalness, which will apply prompt engineering to optimize the translation process, save resources, and ensure the sustainable development of super-central and central natural languages of the world. The study employs E

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Fonseca, Ana, Isabel Abreu, Maria João Guerreiro, and Nelson Barros. "Indoor Air Quality in Healthcare Units—A Systematic Literature Review Focusing Recent Research." Sustainability 14, no. 2 (2022): 967. http://dx.doi.org/10.3390/su14020967.

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The adequate assessment and management of indoor air quality in healthcare facilities is of utmost importance for patient safety and occupational health purposes. This study aims to identify the recent trends of research on the topic through a systematic literature review following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology. A total of 171 articles published in the period 2015–2020 were selected and analyzed. Results show that there is a worldwide growing research interest in this subject, dispersed in a wide variety of scientific journals. A te

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6

Solovyeva, Evgeniya A. "Conceptual features of the French military song discourse (corpus-based study)." NSU Vestnik. Series: Linguistics and Intercultural Communication 18, no. 2 (2020): 13–27. http://dx.doi.org/10.25205/1818-7935-2020-18-2-13-27.

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This paper presents a corpus-based empirical research, which uncovers the key concepts structuring the French military song discourse. We view this type of discourse as an integral element of military discourse containing institutional and non-institutional segments. The actualization of statutory relationships is the most striking example of institutionalization. Therefore, we have started our research from the hypothesis that the officially regulated (statutory) and less regulated parts of the military song discourse may manifest some conceptual differences. The selection of this subject is

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7

Esipova, Valeriya A., and Natal’ya N. Svetlichnaya. "The ProSiberia Platform: The First Year of Operation and Development Prospects." Tekst. Kniga. Knigoizdanie, no. 27 (2021): 139–54. http://dx.doi.org/10.17223/23062061/27/8.

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The article aims to review the experience of creating and launching the ProSiberia platform, and to discuss the prospects for its further development. Based on the aggregation of digital sources of Siberian origin, the ProSiberia project aims to create a research platform that will bring together scholars, content curators (libraries, museums, archives) and society in order to study Siberia and position the region in the global information space. Work on the platform began in 2020 within the framework of the Program for Increasing the Competitiveness of National Research Tomsk State Unversity

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8

Shelina, E. A. "TO GIVE, TO ORDER, AND TO CONFIRM. THE FRENCH PRELATES' POWER IN THE WORLD OF THE 13TH CENTURY CHARTERS." Вестник Пермского университета. История, no. 2(53) (2021): 136–47. http://dx.doi.org/10.17072/2219-3111-2021-2-136-147.

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As corpora of medieval texts became available online, and platforms for textometric analysis (TXM, among others) were developed in the last decade, it has become possible to explore old historiographical issues from a new perspective. This study explores the actions of medieval dominants and the forces they used to perform those actions. The author unites a corpus of the author unites a corpus of the charters of prelates of the French dioceses from the period following the “documentary revolution”, because the general increase in the number of charters since the 12th century enables the author

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9

Andreev, Vadim. "Statistical Evaluation of Style Dynamics: Lyrical Poems by V. Nabokov in the Mirror of Parts of Speech." Izvestia of Smolensk State University, no. 4(60) (April 12, 2023): 81–91. http://dx.doi.org/10.35785/2072-9464-2022-60-4-81-91.

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The article utilizes quantitative methods of analysis to obtain objective indices which make it possible to evaluate a separate text and the style of the author. The author applies the techniques of textometry (analysis of PoS ratio, type of description, cumulative sum) in order to establish the degree of text stability /dynamics and stability / variability of individual style in general. The database includes verse texts of Vladimir Nabokov created during different periods of creative activity. Poetry was an essential and inseparable part of his writing (as the writer and poet sta

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El Manzani, Younès, Rida Belahouaoui, and Oumayma Tajouri. "A textometric analysis of Quality 4.0 research." TQM Journal, February 13, 2025. https://doi.org/10.1108/tqm-06-2024-0227.

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PurposeThis study aims to provide a comprehensive, textometric analysis of the evolving Quality 4.0 (Q4.0) research, identifying key themes, emerging trends and critical research gaps in the field.Design/methodology/approachA total of 129 peer-reviewed articles on Q4.0 were analyzed using IRAMUTEQ software. The textometric approach employed includes lexicographic analysis, descending hierarchical classification, factorial correspondence analysis and similarity analysis to uncover underlying patterns in the literature.FindingsThree major clusters emerged from the analysis of Q4.0 research: (1)

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11

Cochoy, Franck, Guillaume Cabanac, and Wendeline Swart. "Who knows what a mask is … and what it does? A bibliometric and textometric study of more than a century of scientific publications on sanitary masks (1892-2023)." Social Studies of Science, March 19, 2025. https://doi.org/10.1177/03063127251322880.

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In this article, the authors identify the disciplines that have taken an interest in masks over time, as well as how, in what proportions, according to what concerns, with what developments, and possibly with what effects. They ask whether the multiplicity of disciplinary perspectives is likely to lead to the emergence and sharing of new concerns, especially environmental ones, or whether the balkanization and juxtaposition of disciplines may leave certain aspects in the dark and thus contribute to the persistent production of a certain kind of ignorance. Based on a bibliometric and textometri

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12

Cochoy, Franck. "How Plastics Came to Pollute the Technical Literature." Science & Technology Studies, August 7, 2024. http://dx.doi.org/10.23987/sts.142349.

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Today, we know a great deal about how plastics invade the oceans, but we know less about how these same pollutants begin to colonize the world upstream, even before the manufacturing process, when inventors draft their patents. This paper addresses this gap through a textometric study of the corpus of US facemask patents over a century. Patents are highly constrained by specific laws and rules: they must focus on utility, and only on utility, thus preventing moral concerns such as care for the planet from being part of the patenting process. They must also be generic, which prevents them from

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13

Mariam, MACHRAFI, and CHAREF Fatima. "The influence of social media marketing on online buying behavior: Perception of experts in post-COVID-19 context in Morocco." African Scientific Journal Vol 03, N°26 (2024). https://doi.org/10.5281/zenodo.14135451.

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<strong>Abstract </strong> This study aims to investigate the key factors influencing Moroccan consumers' online purchasing behavior through social media marketing, especially in a post-COVID context. The research focuses on understanding the roles of branding, emotional engagement, trust, and transparency in shaping consumer decisions. The study employs qualitative textometric analysis to identify the most frequently used terms and their relationships within the context of social media marketing and consumer behavior. Techniques such as hierarchical cluster analysis, factorial correspondence

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14

Charretier, Laura, Francis Eustache, Mickael Laisney, et al. "Narration of a collective traumatic event according to the presence of PTSD and considering the social function." Frontiers in Psychiatry 15 (November 29, 2024). http://dx.doi.org/10.3389/fpsyt.2024.1390470.

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IntroductionIndividuals suffering from PTSD recount the traumatic event using perceptual, emotional and sensory details. Memorization and recall of individual events are influenced by the individual’s social function, i.e., what they are willing and able to share about themselves with others and the society. While the influence of PTSD on narratives has been studied, few studies have measured the effect of social function on the link between PTSD and narrative.ObjectivesThe aim was to measure trauma narratives of the terrorist attacks of November 13, 2015, according to the presence of PTSD and

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15

Orianne, Jean-François, Serge Heiden, Carine Klein-Peschanski, Francis Eustache, and Denis Peschanski. "Collective memories and social roles: the case of the Paris terrorist attacks of 13 November 2015." Frontiers in Sociology 9 (May 22, 2024). http://dx.doi.org/10.3389/fsoc.2024.1388380.

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The present study was based on empirical data collected during the first phase (2016) of Study 1000, part of the 13-November Program: a corpus of 934 individual interviews conducted 6-11 months after the events. To process this empirical material, the authors used integrated TXM software, which provides several classic textometry tools. They mainly used the lexical specificity analysis tool, which statistically measures the irregularity of the word distribution according to the parts of the corpus. They also analyzed the concordances of certain very specific lexical forms. Analysis revealed th

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16

Belahouaoui, Rida, and El Houssain Attak. "Digital taxation, artificial intelligence and Tax Administration 3.0: improving tax compliance behavior – a systematic literature review using textometry (2016–2023)." Accounting Research Journal, March 12, 2024. http://dx.doi.org/10.1108/arj-12-2023-0372.

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Purpose This paper aims to analyze the impact of tax digitalization, focusing on artificial intelligence (AI), machine learning and blockchain technologies, on enhancing tax compliance behavior in various contexts. It seeks to understand how these emerging digital tools influence taxpayer behaviors and compliance levels and to assess their effectiveness in reducing tax evasion and avoidance practices. Design/methodology/approach Using a systematic review technique with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method, this study evaluates 62 papers collected from t

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17

Poirier, Éric. "Towards an empirical evaluation of translated texts and translation quality." Journal of Data Mining & Digital Humanities Towards robotic translation?, IV. Challenges for... (2022). http://dx.doi.org/10.46298/jdmdh.9123.

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We present various empirical methods and tools that can objectify and optimize the evaluation of translated texts as parallel translation corpora produced by professional translators or by a machine translation service. The proposed methods and tools are based on an empirical analysis of information processing in translated texts and on the utilitarian role of machine translation and its methods, and they can be implemented in a tool-based translation evaluation apparatus in a professional context. The salient part of these methods (which can be deployed automatically or manually) relies on th

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18

Soares, Felipe, and Raquel Recuero. "How the Mainstream Media Help to Spread Disinformation about Covid-19." M/C Journal 24, no. 1 (2021). http://dx.doi.org/10.5204/mcj.2735.

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Introduction In this article, we hypothesise how mainstream media coverage can promote the spread of disinformation about Covid-19. Mainstream media are often discussed as opposed to disinformation (Glasser; Benkler et al.). While the disinformation phenomenon is related to the intentional production and spread of misleading and false information to influence public opinion (Fallis; Benkler et al.), mainstream media news is expected to be based on facts and investigation and focussed on values such as authenticity, accountability, and autonomy (Hayes et al.). However, journalists might contrib

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