Syllabus
Registration via LPIS
Day | Date | Time | Room |
---|---|---|---|
Wednesday | 11/08/23 | 12:00 PM - 03:00 PM | D2.2.228 |
Wednesday | 11/22/23 | 12:00 PM - 03:00 PM | D2.2.228 |
Wednesday | 11/29/23 | 12:00 PM - 03:00 PM | D2.2.228 |
Wednesday | 12/06/23 | 12:00 PM - 03:00 PM | D2.2.228 |
Wednesday | 01/17/24 | 12:00 PM - 03:00 PM | D2.2.228 |
Friday | 01/19/24 | 01:00 PM - 05:00 PM | D2.2.228 |
Wednesday | 01/24/24 | 12:00 PM - 04:30 PM | D2.2.228 |
This course is aimed at PhD students who are using language data (e.g. interviews, online texts, meetings and conversations) for their research. It will provide an overview of two widely used methods for analysing written and spoken language data: Corpus Linguistics and Conversation Analysis. Corpus Linguistics combines quantitative and qualitative methods to analyse medium to large collections of texts, whereas Conversation Analysis provides a qualitative method for analysing spoken interactions. The course should thus be of interest to any doctoral or PhD students using written or spoken language data in their research, such as texts collected from the internet or transcriptions of interviews or naturally-occurring conversations. The sessions will introduce seminar participants to the key theories, principles and methods of Corpus Linguisitics and Conversation Analysis respectively. It will involve them in practical activities and introduce them to tools for analysing real interactions and for exploring corpus data. The course content will be adapted to the needs of the participants.
After attending this course, students will:
- understand the principles of Corpus Linguistics;
- be able to use a range of corpus methods and tools, including frequency lists, keywords and concordances;
- be familiar with a range of corpora and corpus types;
- understand the principles of Conversation Analysis;
- be able to analyse the key structures of spoken interactions, including turn-taking, adjacency pairs and repair;
- have an awareness of how corpus methods and conversation analysis complement each other can be combined with other methods.
Attendance required through the entire course. In exceptional cases you may miss one (1) seminar unit.
The sessions will consist of a combination of lecture-style input, practical activities and student presentations, as well as feedback and discussion of the presentations.
- 1) Analysis task (written): 30%
- 2) Individual project (oral presentation): 60%
- 3) Participation: 10%
- Excellent written and spoken command of English equivalent to C1 on the Common European Framework
- Participants should have good knowledge of English grammar and an interest in language and communication.
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