The course introduces students to the fundamental principles, methods, and applications of Corpus Linguistics (CL). Particular emphasis is placed on the use of electronic corpora in both translation and research.

The course begins by presenting the basic concepts of CL, such as corpus, representativeness, balance, and annotation. It also examines the main types of corpora, the principal methodological tools used in corpus linguistics, and the fundamental methods of corpus analysis.

Upon successful completion of the course, students will be able to:

• demonstrate knowledge of the fundamental concepts of Corpus Linguistics (CL);

• distinguish between different types of corpora and understand their characteristics;

• understand the basic principles of corpus design and compilation;

• conduct quantitative and qualitative analyses of a corpus;

• understand the potential and limitations of corpora as tools for translation and interpreting;

• write and present a research paper using corpora.

Week 1:
Presentation of the course structure and assessment methods. Introduction to Corpus Linguistics (CL) and its historical development.

Analysis of basic concepts: What is a corpus? Corpus-based and corpus-driven approaches.

Overview of the main corpus processing tools and the ways in which corpora are used in translation and research.

Week 2:
Different types of corpora. Focus on concepts such as corpus size, parallel and comparable corpora, and annotation.

Week 3:
Principles of corpus design and compilation. Design criteria, with a focus on the concepts of representativeness and balance.

Workshop: Designing and compiling a DIY corpus in class. Applying the concepts covered in Weeks 2 and 3.

Week 4:
Main methods of corpus analysis. Quantitative and qualitative analysis and triangulation of results.

Week 5:
Corpus processing tools. Hands-on practice with AntConc.

Workshop: Quantitative analysis of the DIY corpus compiled in Week 3.

Week 6:
Hands-on practice with Sketch Engine.

Workshop: Quantitative and qualitative analysis of the DIY corpus compiled in Week 3. Triangulation of results.

Week 7:
Corpus Linguistics and Translation. Parallel and comparable corpora in translation. Corpus alignment, bilingual frequency lists, and the resolution of translation problems.

Week 8:
Corpus Linguistics and Terminology. Term extraction, documentation, and translation.

Workshop: Application to the translation of a specialised text. Identifying terms and searching for collocations and phrases.

Week 9:
Presentation of the guidelines for the final research paper. Research questions and research methodology.

Workshop: Designing an individual corpus-based research project in class. Discussion and clarification of questions.

Week 10:
Short in-class presentations by students on their individual research paper topics. Discussion and feedback.

Week 11:
Progress presentations by students on their research papers. Discussion and feedback.

Week 12:
Progress presentations by students on their research papers. Discussion and feedback.

Week 13:
Progress presentations by students on their research papers. Discussion and feedback.

Course review and clarification of any remaining questions.

Anthony, L. (2013). A critical look at software tools in corpus linguistics. Linguistic
Research, 30(2), σσ. 141-161.

Baker, P. (2006). Using Corpora in Discourse Analysis. A&C Black.
Bowker, L., & Pearson, J. (2002). Working with specialized language: A practical guide to using corpora. Routledge.

Dash, N. (2008). Corpus linguistics: An introduction. New Delhi: Pearson Education. India.

Hasko, V. (2012). Qualitative corpus analysis. Στο C. Chapelle (Επιμ.), The
encyclopedia of applied linguistics (σσ. 4758-4764). John Wiley & Sons, Ltd.
doi: https://doi.org/10.1002/9781405198431.wbeal0974

Kozobolis, S. (2020). A corpus-based study on deontic modality in Competition Law: Insights from the English-Greek language pair. Estudios de Traducción, σσ. 91-106.

Leech, G. (2005). Adding linguistic annotation. Στο M. Wynne, Developing Linguistic Corpora: A Guide to Good Practice (σσ. 17-29). Oxford: Oxbow Books.

Malamatidou, S. (2017). Corpus triangulation: Combining data and methods in
corpus-based translation studies. Routledge.

McEnery, T., & Hardie, A. (2011). Corpus linguistics: Method, theory and practice.
Cambridge : Cambridge University Press.

McEnery, T., & Wilson, A. (2001). Corpus Linguistics: An Introduction (2η εκδ.).
Edinburgh: Edinburgh University Press.

Sinclair, J. (2005). Corpus and Text. Basic Principles. Στο M. Wynne (Επιμ.),
Developing Linguistic Corpora: a Guide to Good Practice (σσ. 1-16). Oxford:
Oxbow Books.

Tognini-Bonelli, E. (2001). Corpus linguistics at work. John Benjamins Publishing.
Weisser, M. (2016). Practical corpus linguistics: An introduction to corpus-based
language analysis. John Wiley & Sons.

Γούτσος, Δ., & Φραγκάκη, Γ. (2015). Εισαγωγή στη γλωσσολογία σωμάτων κειμένων. Αθήνα: Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών.

Κοζομπόλης, Σ. (2022). Όψεις της δεοντικής τροπικότητας στη νομική γλώσσα και μετάφραση του Δικαίου του Ανταγωνισμού της ΕΕ: κριτική επεξεργασία και ανάλυση σώματος κειμένου στα αγγλικά και στα ελληνικά (Διδακτορική διατριβή, Ιόνιο Πανεπιστήμιο. Σχολή Ανθρωπιστικών Επιστημών. Tμήμα Ξένων Γλωσσών, Mετάφρασης και Διερμηνείας).

Κοζομπόλης, Σ. (2025). Το Qatargate μέσα από τα μάτια του ελληνικού και ευρωπαϊκού τύπου: Ανάλυση αγγλοελληνικού Σώματος Κειμένων. Πρακτικά συνεδρίου με τίτλο: 44ο Διεθνές Συνέδριο Λειτουργικής Γλωσσολογίας. (Καλαμάτα, Ελλάδα, 17-20 Οκτωβρίου 2023).

Ρουγγέρη, Α., Κοζομπόλης, Στ. (2025). Η απεικόνιση του σιδηροδρομικού δυστυχήματος των Τεμπών στον ελληνόφωνο τύπο: έρευνα σε σώμα κειμένων. Επτάνησος Πολιτεία, 3.

Face-to-face. The course consists of two-hour sessions delivered in the form of lectures, supported by presentations and online resources.

The course includes extensive demonstrations and hands-on use of corpus processing tools (e.g. AntConc and Sketch Engine). Artificial intelligence (AI) tools are not used extensively.

Students are assessed throughout the semester based on their participation in class activities and their engagement with practical exercises.

The final assessment is based on a written research paper involving the compilation and analysis of a corpus (80%) and a mandatory oral presentation of the paper (20%) during the final three weeks of the semester, in the form of a simulated academic conference.