This course will provide an overview of methodology used in Corpus Linguistics. The sessions will involve seminar participants in practical activities and tools for exploring and interrogating corpus data. Techniques, tools, and software packages commonly used in corpus analysis will be practically employed throughout the course. Students/participants who successfully complete this course will develop strategies and practices for the inspection, analysis and interpretation of corpus data, as well as for data selection, collection and storage.
|Montag||21.10.2019||14:00 - 15:30||D2.2.228|
|Montag||11.11.2019||14:00 - 17:00||D2.2.228|
|Montag||25.11.2019||14:00 - 17:00||D2.2.228|
|Montag||09.12.2019||14:00 - 17:00||D2.2.228|
|Montag||16.12.2019||14:00 - 17:00||D2.2.228|
|Montag||13.01.2020||14:00 - 18:30||D2.2.228|
|Montag||20.01.2020||14:00 - 18:30||D2.2.228|
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;
- be able to select and collect data for corpus analysis;
- be able to interpret corpus data and combine corpus analysis with other methods.
Attendance required through the entire course. In exceptional cases you may miss one (1) seminar unit.
Seminar with practical exercises and class discussion
1) Analysis task 1 (oral or written): 20%
2) Analysis task 2 (oral or written): 20%
3) Individual project combining several corpus methods (oral or written): 60%
Overall, you must do at least one oral presentation and submit at least one written assignment.
- Excellent written and spoken command of English equivalent to C2 on the Common European Framework
- Participants are expected to have very good knowledge of English grammar
- A degree in English would be an advantage
Please refer to the homepage of the Institute for English Business Communication: https://www.wu.ac.at/en/ebc/
Tools and software
Frequency and keywords
Concordance patterns and collocation
Fixed collocation (chunks): N-grams
Corpus methods and discourse analysis
Data selection and collocation