Universität Wien
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160163 PS Using Corpus Linguistics for Text, Genre and Discourse Linguistics (2023W)

6.00 ECTS (2.00 SWS), SPL 16 - Musikwissenschaft und Sprachwissenschaft
Continuous assessment of course work
ON-SITE
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 40 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 09.10. 09:30 - 11:00 Seminarraum 2 Sensengasse 3a 1.OG
  • Monday 16.10. 09:30 - 11:00 Seminarraum 2 Sensengasse 3a 1.OG
  • Monday 23.10. 09:30 - 11:00 Seminarraum 2 Sensengasse 3a 1.OG
  • Monday 30.10. 09:30 - 11:00 Seminarraum 2 Sensengasse 3a 1.OG
  • Monday 06.11. 09:30 - 11:00 Seminarraum 2 Sensengasse 3a 1.OG
  • Monday 13.11. 09:30 - 11:00 Seminarraum 2 Sensengasse 3a 1.OG
  • Monday 20.11. 09:30 - 11:00 Seminarraum 2 Sensengasse 3a 1.OG
  • Monday 27.11. 09:30 - 11:00 Seminarraum 2 Sensengasse 3a 1.OG
  • Monday 04.12. 09:30 - 11:00 Seminarraum 2 Sensengasse 3a 1.OG
  • Monday 11.12. 09:30 - 11:00 Seminarraum 2 Sensengasse 3a 1.OG
  • Monday 08.01. 09:30 - 11:00 Seminarraum 2 Sensengasse 3a 1.OG
  • Monday 15.01. 09:30 - 11:00 Seminarraum 2 Sensengasse 3a 1.OG
  • Monday 22.01. 09:30 - 11:00 Seminarraum 2 Sensengasse 3a 1.OG
  • Monday 29.01. 09:30 - 11:00 Seminarraum 2 Sensengasse 3a 1.OG

Information

Aims, contents and method of the course

This course provides an in-depth introduction to Corpus Linguistics, its methods and fields of application. Corpus Linguistics (CL) is the study of linguistic phenomena through large collections of machine-readable texts: corpora. These are used within a number of research areas ranging from the descriptive study of the syntax of a language, second language learning or academic writing, to discourse analysis.
We will cover the conceptual and theoretical foundations of, as well as the practical implementation of,
(1) designing a Corpus Linguistic study
(2) selecting, pruning and tagging textual data
(3) building a corpus in CL software
(4) analyses including frequency, keyness, concordancing and collocations
(5) interpreting and presenting statistical results.

Aims:
Knowledge and understanding: You will become acquainted with a range of distinct methods used in CL and learn to choose among them to answer specific research questions

Practical skills: Our data and methods workshops will help you become competent at applying a range of analytical methods to different types of data

Intellectual skills: In covering a range of methods, you will understand the importance of choosing adequate methods for a specific data set and research questions; you will come to understand how the choice of method can impact results and how methodology always co-constructs the object of research

Transferable skills: You will acquire data collection and data analysis skills; you will learn to identify relevant areas for research, conceptualise your own research – including data and methods – and present this both in written form as a research proposal and as a spoken/visual presentation

Assessment and permitted materials

15% Participation
15% Research Proposal
10% Presentation
60% Research paper

Minimum requirements and assessment criteria

Expected previous knowledge: Core areas of linguistics (syntax, semantics) and, ideally, some understanding of discourse, text or genre linguistics.
Assessment of paper:

Content
-relevance of topic chosen 5%
-overview of the state of the art/research 20%
-original research design (research questions/aims, methods, data selection) 15%
-analysis/results/conclusions 20%

Text quality
-structure 10%
-adequate style/readability/clarity 10%

Formal correctness
-references 5%
-writing 5%

Examination topics

The initial research proposal and the subsequently completed research paper need to demonstrate an understanding of how CL can be used within at least one of the fields referenced, i.e., text, genre or discourse linguistics. The presentation needs to provide a clear and succinct idea of the research undertaken in terms of methods, data, aims/questions and relevance.

Reading list

Baker, Gabrielatos, McEnery 2013 Discourse Analysis and Media Attitudes
Rheindorf 2019 Revisiting the Toolbox of Discourse Studies
Cheng 2013 Corpus-based Linguistic Approaches
Mautner 2015 Checks and Balances
McEnery, Gabrielatos 2006 English Corpus Linguistics
O'Halloran 2007 Critical Discourse Analysis and the Corpus
Bubenhofer Scharloth 2013 Korpuslinguistik
Hunston 2013 Flavours of corpus linguistics

Association in the course directory

BA-M12
MA2-M3-2

Last modified: Mo 09.10.2023 14:07