160163 PS Korpuslinguistik im Rahmen text-, genre- oder diskurslinguistischer Forschung (2023W)
Prüfungsimmanente Lehrveranstaltung
Labels
VOR-ORT
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 11.09.2023 08:00 bis Do 28.09.2023 23:59
- Abmeldung bis Di 31.10.2023 23:59
Details
max. 40 Teilnehmer*innen
Sprache: Deutsch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Montag
09.10.
09:30 - 11:00
Seminarraum 2 Sensengasse 3a 1.OG
Montag
16.10.
09:30 - 11:00
Seminarraum 2 Sensengasse 3a 1.OG
Montag
23.10.
09:30 - 11:00
Seminarraum 2 Sensengasse 3a 1.OG
Montag
30.10.
09:30 - 11:00
Seminarraum 2 Sensengasse 3a 1.OG
Montag
06.11.
09:30 - 11:00
Seminarraum 2 Sensengasse 3a 1.OG
Montag
13.11.
09:30 - 11:00
Seminarraum 2 Sensengasse 3a 1.OG
Montag
20.11.
09:30 - 11:00
Seminarraum 2 Sensengasse 3a 1.OG
Montag
27.11.
09:30 - 11:00
Seminarraum 2 Sensengasse 3a 1.OG
Montag
04.12.
09:30 - 11:00
Seminarraum 2 Sensengasse 3a 1.OG
Montag
11.12.
09:30 - 11:00
Seminarraum 2 Sensengasse 3a 1.OG
Montag
08.01.
09:30 - 11:00
Seminarraum 2 Sensengasse 3a 1.OG
Montag
15.01.
09:30 - 11:00
Seminarraum 2 Sensengasse 3a 1.OG
Montag
22.01.
09:30 - 11:00
Seminarraum 2 Sensengasse 3a 1.OG
Montag
29.01.
09:30 - 11:00
Seminarraum 2 Sensengasse 3a 1.OG
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
15% Participation
15% Research Proposal
10% Presentation
60% Research paper
15% Research Proposal
10% Presentation
60% Research paper
Mindestanforderungen und Beurteilungsmaßstab
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%
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%
Prüfungsstoff
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.
Literatur
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
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
Zuordnung im Vorlesungsverzeichnis
BA-M12
MA2-M3-2
MA2-M3-2
Letzte Änderung: Mo 09.10.2023 14:07
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 questionsPractical skills: Our data and methods workshops will help you become competent at applying a range of analytical methods to different types of dataIntellectual 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 researchTransferable 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