Corpus Linguistics and Textual History: A Computer-Assisted Interdisciplinary Approach to the Peshitta (review)

2007 ◽  
Vol 48 (1) ◽  
pp. 390-393
Author(s):  
Robert Phénix
Keyword(s):  
Corpus Linguistics ◽  
Interdisciplinary Approach ◽  
Computer Assisted ◽  
Textual History

scholarly journals “They Made us into a Race. We Made Ourselves into a People”: A Corpus Study of Contemporary Black American Group Identity in the Non-Fictional Writings of Ta-Nehisi Coates

2021 ◽  
Author(s):  
Yulia Hathaway
Keyword(s):  
Corpus Linguistics ◽  
Group Identity ◽  
Black People ◽  
Interdisciplinary Approach ◽  
Black American ◽  
Corpus Study ◽  
Black America ◽  
Shared Experiences ◽  
American Group ◽  
Identity Based

AbstractThis article examines representations of contemporary Black American identity in the non-fictional writings of Ta-Nehisi Coates. The dataset is a self-compiled specialized corpus of Coates’s non-fictional writings from 1996 until 2018 (350 texts; 468,899 words). The study utilizes an interdisciplinary approach combining corpus linguistics and corpus pragmatics. Frequencies of five identity-related terms in the corpus (African(–)Americans, blacks, black people, black America/Americans and black community/communities) are compared diachronically; then the pragmatic prosody of the terms is analyzed via the notion of control. The findings suggest that Coates’s representation of Black American group identity has shifted over time. Specifically, the terms African Americans and black America are replaced by the terms blacks and black people. The study’s empirical findings, considered through the theoretical framework on Black solidarity, suggest a shift in representation of group identity in Coates’s writings from an identity based on cultural and ethnic commonalities to an identity based on the shared experiences of anti-Black racism.

Computer-assisted digital text analysis for journalism and communications research: introducing corpus linguistic techniques that do not require programming

2020 ◽  
pp. 1329878X2094712
Author(s):  
Monika Bednarek ◽  
Georgia Carr
Keyword(s):  
Computational Methods ◽  
Text Analysis ◽  
Corpus Linguistics ◽  
Linguistic Analysis ◽  
Computer Assisted ◽  
Technical Expertise ◽  
Digital Text ◽  
Health News ◽  
Corpus Linguistic ◽  
Digital Methods

Digital methods are becoming more and more important for text analysis in communications research. However, many computational methods require either relevant technical expertise or multi-disciplinary collaboration, which has impeded their uptake. This article introduces an alternative: computer-assisted linguistic analysis (corpus linguistics), an approach that is increasingly being used outside linguistics and requires less expertise. The article uses a dataset of almost 700 items of health news to demonstrate how such techniques can aid the analysis of (dis)preferred language, sources, stigma and responsibility, framing, and project-specific text analysis. We conclude with an evaluation of the key advantages and limitations of corpus linguistic analysis.

Corpus Linguistics and Textual History

2006 ◽  
Author(s):  
Percy van Keulen ◽  
Wido Th. van Peursen
Keyword(s):  
Corpus Linguistics ◽  
Textual History

Different approaches to the pursuit of internationalization by Italian SMEs

2015 ◽  
Vol 17 (2) ◽  
pp. 229-248 ◽  
Author(s):  
Cinzia Colapinto ◽  
Laura Gavinelli ◽  
Mariangela Zenga ◽  
Angelo Di Gregorio
Keyword(s):  
Cluster Analysis ◽  
Strategic Alliances ◽  
Quantitative Research ◽  
Small And Medium Enterprises ◽  
Interdisciplinary Approach ◽  
Computer Assisted ◽  
Entry Modes ◽  
Content Type ◽  
Green Approach ◽  
Innovation And Technology

Purpose – The aim of this paper is to analyse why Italian small and medium enterprises (SMEs) pursue internationalization (current and future entry modes, motivations, advantages and difficulties) and how they go about it, with reference to four key areas: innovation and technology, networking, environmental approach and human resource (HR) competences. Design/methodology/approach – A questionnaire was distributed to 792 enterprises with a response rate of 24.37 per cent. Data were collected using the computer assisted web interviewing (CAWI) method and processed with Rasch analysis, Principal Components Analysis and Cluster analysis methods. Findings – The paper presents the results of a quantitative research on SMEs located in the Province of Monza and Brianza – one of the most productive territories in Italy. Four different clusters emerged with specific approaches. Briefly, this paper points out that: innovation is mostly linked to the product and is incremental; HR and their competences are crucial for facing complex markets; the green issue is not dominant (it is considered only for saving energy and reducing cost production); and networking is not a key issue (except informal relations, contractual agreements and strategic alliances). Research limitations/implications – The research could be extended: through a longitudinal survey on the same sample; by covering different territories on the same topics. The cluster analysis identifies potential guidelines for entrepreneurial behaviour in respect to key factors for exiting from the economic and financial crisis: innovation and technology, formal and informal networks, the “green” approach, HR training. Originality/value – This paper presents a new interdisciplinary approach that may work beyond country boundaries, providing a new basis to the debate on the internationalization of SMEs.

Individual Differences among Student Teachers in Taking an Online Corpus Linguistics Course

2015 ◽  
pp. 71-93 ◽  
Author(s):  
Alice Ebrahimi ◽  
S. Susan Marandi
Keyword(s):  
Language Learning ◽  
Student Teachers ◽  
Group Dynamics ◽  
Corpus Linguistics ◽  
Online Communication ◽  
Teaching Experience ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Language Teacher Education ◽  
Years Of Teaching Experience

Recently, educating teachers in computer- assisted language learning (CALL) has gained much popularity. In this regard, corpus linguistics (CL), as an area related to CALL, has received great attention. Researchers, now argue strongly for the inclusion of CL in language teacher education (LTE) programs. However, there is no research on how individual and contextual differences may affect student teachers' (STs) reactions to such training. This chapter reports on a qualitative study which explored a range of variables related to STs' personal and professional backgrounds as well as group dynamics influential in the adoption and application of CL training by STs. Through analyzing the data collected using surveys, interviews, and students' written evaluations of the course, it was found that STs' years of teaching experience, characteristics and beliefs, prior experience of online communication, access to technology, and familiarity with and attitudes toward CALL play a crucial role in this regard.

Research trends in tourism and hospitality from 1991 to 2020: an integrated approach of corpus linguistics and bibliometrics

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gui Wang ◽  
Hui Wang ◽  
Li Wang
Keyword(s):  
Bibliometric Analysis ◽  
Language Processing ◽  
Corpus Linguistics ◽  
Interdisciplinary Approach ◽  
Integrated Approach ◽  
Research Trends ◽  
Research Topics ◽  
Content Type ◽  
Tourism And Hospitality ◽  
Emerging Topics

PurposeThis study aims to track the historical development in tourism and hospitality research over the past 30 years by applying a novel interdisciplinary approach, combining both corpus linguistics and bibliometric analysis.Design/methodology/approachMost frequently discussed topics and newly emerging topics were identified by investigating 18,266 abstracts from 18 leading tourism and hospitality journals with corpus linguistics toolkit AntConc and natural language processing (NLP) tool spaCy. Trend analysis and bibliometric methods were used to determine the longitudinal changes of research topics, most highly-cited publications and authors' production.FindingsThis study revealed the evolution patterns of the identified 576 most frequently discussed topics across the four subperiods (1991–2000, 2001–2010, 2011–2015 and 2016–2020). Specifically, results showed that information technology-related topics account for the largest proportion of the identified 38 newly emerging topics from 2011. Besides, researchers are increasingly focusing on the use of more sophisticated and advanced statistical methodologies.Practical implicationsThis study helps researchers make sensible decisions on what research topics to explore; it also helps practitioners and stakeholders make the shift and track opportunities in the field.Originality/valueNo other studies have employed the novel interdisciplinary approach, combining corpus linguistic tools in linguistics, NLP techniques in computer science and bibliometric analysis in library and information science, for exploring research trends in tourism and hospitality.

scholarly journals Computer-Assisted Legal Linguistics: Corpus Analysis as a New Tool for Legal Studies

2018 ◽  
Vol 43 (04) ◽  
pp. 1340-1363 ◽  
Author(s):  
Friedemann Vogel ◽  
Hanjo Hamann ◽  
Isabelle Gauer
Keyword(s):  
Supreme Court ◽  
Corpus Linguistics ◽  
German Law ◽  
Corpus Analysis ◽  
Computer Assisted ◽  
Legal Studies ◽  
Novel Approach ◽  
The Us ◽  
Us Supreme Court ◽  
Legal Texts

Law exists solely in and through language. Nonetheless, systematical empirical analysis of legal language has been rare. Yet, the tides are turning: After judges at various courts (including the US Supreme Court) have championed a method of analysis called corpus linguistics, the Michigan Supreme Court held in June 2016 that this method “is consistent with how courts have understood statutory interpretation.” The court illustrated how corpus analysis can benefit legal casework, thus sanctifying twenty years of previous research into the matter. The present article synthesizes this research and introduces computer-assisted legal linguistics (CAL2) as a novel approach to legal studies. Computer-supported analysis of carefully preprocessed collections of legal texts lets lawyers analyze legal semantics, language, and sociosemiotics in different working contexts (judiciary, legislature, legal academia). The article introduces the interdisciplinary CAL2 research group (www.cal2.eu), its Corpus of German Law, and other related projects that make law more transparent.

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