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This is the first book of its kind to provide a practical and student-friendly guide to corpus linguistics that explains the nature of electronic data and how it can be collected and analyzed. * Designed to equip readers with the technical skills necessary to analyze and interpret language data, both written and (orthographically) transcribed * Introduces a number of easy-to-use, yet powerful, free analysis resources consisting of standalone programs and web interfaces for use with Windows, Mac OS X, and Linux * Each section includes practical exercises, a list of sources and further reading, and illustrated step-by-step introductions to analysis tools * Requires only a basic knowledge of computer concepts in order to develop the specific linguistic analysis skills required for understanding/analyzing corpus data

Corpus-based contrastive and translation research are areas that keep evolving in the digital age, as the range of new corpus resources and tools expands, opening up to different approaches and application contexts. The current book contains a selection of papers which focus on corpora and translation research in the digital age, outlining some recent advances and explorations. After an introductory chapter which outlines language technologies applied to translation and interpreting with a view to identifying challenges and research opportunities, the first part of the book is devoted to current advances in the creation of new parallel corpora for under-researched areas, the development of tools to manage parallel corpora or as an alternative to parallel corpora, and new methodologies to improve existing translation memory systems.The contributions in the second part of the book address a number of cutting-edge linguistic issues in the area of contrastive discourse studies and translation analysis on the basis of comparable and parallel corpora in several languages such as English, German, Swedish, French, Italian, Spanish, Portuguese and Turkish, thus showcasing the richness of the linguistic diversity carried out in these recent investigations. Given the multiplicity of topics, methodologies and languages studied in the different chapters, the book will be of interest to a wide audience working in the fields of translation studies, contrastive linguistics and the automatic processing of language.

Wearable sensing and information and communication technologies are key enablers driving the transformation of health care delivery toward a new model of connected health (CH) care. The advances in wearable technologies in the last decade are evidenced in a plethora of original articles, patent documentation, and focused systematic reviews. Although technological innovations continuously respond to emerging challenges and technology availability further supports the evolution of CH solutions, the widespread adoption of wearables remains hindered. This study aimed to scope the scientific literature in the field of pervasive wearable health monitoring in the time interval from January 2010 to February 2019 with respect to four important pillars: technology, safety and security, prescriptive insight, and user-related concerns. The purpose of this study was multifold: identification of (1) trends and milestones that have driven research in wearable technology in the last decade, (2) concerns and barriers from technology and user perspective, and (3) trends in the research literature addressing these issues. This study followed the scoping review methodology to identify and process the available literature. As the scope surpasses the possibilities of manual search, we relied on the natural language processing tool kit to ensure an efficient and exhaustive search of the literature corpus in three large digital libraries: Institute of Electrical and Electronics Engineers, PubMed, and Springer. The search was based on the keywords and properties to be found in articles using the search engines of the digital libraries. The annual number of publications in all segments of research on wearable technology shows an increasing trend from 2010 to February 2019. The technology-related topics dominated in the number of contributions, followed by research on information delivery, safety, and security, whereas user-related concerns were the topic least addressed. The literature corpus evidences milestones in sensor technology (miniaturization and placement), communication architectures and fifth generation (5G) cellular network technology, data analytics, and evolution of cloud and edge computing architectures. The research lag in battery technology makes energy efficiency a relevant consideration in the design of both sensors and network architectures with computational offloading. The most addressed user-related concerns were (technology) acceptance and privacy, whereas research gaps indicate that more efforts should be invested into formalizing clear use cases with timely and valuable feedback and prescriptive recommendations. This study confirms that applications of wearable technology in the CH domain are becoming mature and established as a scientific domain. The current research should bring progress to sustainable delivery of valuable recommendations, enforcement of privacy by design, energy-efficient pervasive sensing, seamless monitoring, and low-latency 5G communications. To complement technology achievements, future work involving all stakeholders providing research evidence on improved care pathways and cost-effectiveness of the CH model is needed.

In France, English is often perceived as a negative influence on the language in the eyes of purist institutions like the French Academy. Terminological commissions have been established to replace foreign expressions with French terminology that is regularly published in the Journal officiel de la République française. Although the Toubon Law of 1994 prescribes the use of this terminology in government publications, speakers are merely encouraged to do so. This article investigates the variation between English lexical borrowings and their prescribed equivalents in a large newspaper corpus containing articles from 2000 to 2017 in order to see whether formal written language complies with the purist recommendations. Time is treated with a new dynamic approach: the probability of using a prescribed term is estimated three years before and three years after official prescription. Fifty-four target terms are selected from the lexical fields of computer science, entertainment industry and telecommunication, including emblematic prescribed words such as courriel and mot-dièse. The analysis reveals that prescription is only effective when it follows already attested use. Furthermore, conservative newspapers show higher proportions of recommended terminology, especially as compared to newspapers specializing in technology.

This research integrates the theoretical strands of crisis management and organizational agility to improvise a process in which organizations expedite their IT-based solutions to cope with mega disruptions, carried out through two studies. Using corpus linguistics as an analytical approach with data collected from press releases from 10 US retail conglomerates, our findings point to the transition from a business-as-usual business model to the incubation of a work-at-home retail model that is infused by technology innovations. In making such a transition, organizations exercise agility through rapidly responding to a multitude of environmental jolts. The contribution of the present article lies in illuminating the role of IT innovations and digitization efforts that lay the necessary organizational capabilities to stay abreast with market opportunities amid extenuating circumstances. This research provides an empirical articulation of the importance of IT-based crisis responses to help scholars better understand the nature of crisis management and organizational agility. Plain Language Summary The objective of this study was to explore the crisis response mechanism from major retailers in the US. Using data from press releases collected from 2020 to 2022, the present inquiry illuminates how retail firms have handled the pandemic from a business-as-usual approach to harnessing IT to improve organizational agility with solutions tailored to the urgent needs of the consumers and other stakeholders. Using corpus linguistics as an analytical approach, our findings point to the transition from a business-as-usual model to a work-at-home retail model that is infused by technology innovations.

This article examines the Self-to-Self and Self-to-Other discursive construction of China’s technological advancement through media coverage of DeepSeek, a Chinese AI start-up that gained international visibility after releasing new models in early 2025. Using this event as a case study, the contribution investigates how the company’s rise is narrated to domestic and international audiences through a contrastive analysis of Renmin Wang, the Chinese online edition of the Renmin Ribao (People’s Daily), and its Italian-language counterpart, Quotidiano del Popolo. Drawing on postcolonial theory and Critical Discourse Analysis, the study adopts a qualitative, corpus-assisted approach to examine how DeepSeek is framed as a symbol of national achievement through the political concept of “strong country,” which casts innovation as a national, state-guided effort. While RMW situates the story within a collective discourse that downplays individual agency in favour of Party-led progress, QDP adopts a more assertive tone, portraying China as a “technological powerhouse.” The comparison reveals discursive asymmetries – international-oriented texts place greater emphasis on China’s global competitiveness – and discursive ambiguity – both corpora convey ambivalence, depicting China as a rising power, a cooperative actor of the Global South, and a formerly marginalised nation seeking postcolonial recognition. This fluid positioning reflects China’s attempt to reshape its global image while maintaining solidarity with (and support by) developing countries.

Artificial intelligence is rapidly reshaping skill expectations across media, marketing, and journalism, however, university curricula are not evolving at a comparable speed. To quantify the resulting curriculum–skill gap in communication-related programs, two synchronous corpora were assembled for the period July 2024–June 2025: 66 course descriptions from six leading UK universities and 107 graduate-to-mid-level job advertisements in communications, digital media, advertising, and public relations. Alignment around AI, datafication, and platform governance was assessed through a three-stage natural-language-processing workflow: a dual-tier AI-keyword index, comparative TF–IDF salience, and latent Dirichlet allocation topic modeling with bootstrap uncertainty. Curricula devoted 6.0% of their vocabulary to AI plus data/platform terms, whereas job ads allocated only 2.3% (χ2 = 314.4, p < 0.001), indicating a conceptual-critical emphasis on ethics, power, and societal impact in the academy versus an operational focus on SEO, multichannel analytics, and campaign performance in recruitment discourse. Topic modeling corroborated this divergence: universities foregrounded themes labelled “Politics, Power & Governance”, while advertisers concentrated on “Campaign Execution & Performance”. Environmental and social externalities of AI—central to the Special Issue theme—were foregrounded in curricula but remained virtually absent from job advertisements. The findings are interpreted as an extension of technology-biased-skill-change theory to communication disciplines, and it is suggested that studio-based micro-credentials in automation workflows, dashboard visualization, and sustainable AI practice be embedded without relinquishing critical reflexivity, thereby narrowing the curriculum–skill gap and fostering environmentally, socially, and economically responsible media innovation. With respect to the novelty of this research, it constitutes the first large-scale, data-driven corpus analysis that empirically assessed the AI-related curriculum–skill gap in communication disciplines, thereby extending technology-biased-skill-change theory into this field.

The game-changing introduction of neural machine translation engines almost a decade ago accelerated these transitions. This volume takes stock of the depth and breadth of resulting developments, highlighting the emerging rivalry of human and machine intelligence.

The present study examined the use and effectiveness of a large corpus—the Corpus del Español (Davies, 2002)—in a 300‐level Spanish grammar university course. Students conducted hands‐on corpus searches with the goal of finding concordances containing particular types of collocations (combinations of words that tend to co‐occur) and tokens (any occurrence of a word or sequence of words), then used these examples from authentic texts in order to better understand and use the grammatical concepts under consideration (e.g., preterite vs. imperfect, ser and estar). The study was designed to better inform language educators' understanding of the extent to which access to, and active use of, a large corpus helped students better understand and use particular grammatical concepts and structures. Qualitative and quantitative data obtained from a student survey offer evidence that the corpus was an effective learning tool and represented an innovative use of technology.

In recent years, journalistic practices have undergone a radical change due to the increasing pressure of new digital media on the professional practice. The ever-growing development of new technologies and the ceaseless fluctuation of social practices have challenged some of the traditional genres found in these professional contexts. On the basis of these premises, this book investigates a particular genre found in the context of TV newscasts. The genre under investigation is that of news tickers (or crawlers), that is, the graphic elements that scroll at the bottom of the screen during newscasts. The book introduces readers to this under-researched genre through a year-long collection of the news tickers displayed on BBC World News. Thanks to a corpus-based genre analysis, the generic status of news tickers is better defined by highlighting the presence of given strategies of marketization. Additionally, this volume investigates if news tickers can be seen as a mixed (sub-)genre that interdiscursively combines traditional linguistic elements of headlines and lead paragraphs to achieve, from a (Critical) Genre Analysis point of view, a specific private intention in the context of the BBC.