Computational linguistics has enabled researchers to investigate very large datasets which would not be possible by hand. This includes (notably) research into semantic phenomena, but also syntactic and pragmatic topics.
In this class, we will be exploring the small (but expanding) field of computational variationist linguistics. After an introduction to the field (including a brief introduction to computational linguistics and variationist linguistics by themselves), we will look at a few select studies, and in the end, students will work on their own small-scale investigations. This will include analysing data with computational methods in Excel, Python, R, or any other appropriate tool. Students do not need any previous programming experience (though you are welcome to join if you do!).
Readings will be made available in the Lernraum. Please check the Lernraum before the first session for announcements. Also make sure to come to the first meeting if you want to participate or let me know if you can’t make it to the first session. Otherwise, your spot may be given to other students who need it. Requirements for course credit will be laid out in the first session.
Frequency | Weekday | Time | Format / Place | Period |
---|
Module | Course | Requirements | |
---|---|---|---|
23-ANG-AngVM3 Vertiefungsmodul 3: Linguistics | VM 3.2 Language System | Study requirement
|
Student information |
VM 3.3 Language in Use | Study requirement
|
Student information | |
- | Graded examination | Student information | |
23-ANG-AngVM5 Vertiefungsmodul 5: Theories & Ideologies | VM 5.1 Linguistic Theory | Study requirement
|
Student information |
- | Graded examination | Student information | |
23-ANG-Profil3 Profilmodul 3: Advanced Linguistics | Profil3.2 Language System | Study requirement
Graded examination |
Student information |
Profil3.3 Language in Use | Study requirement
Graded examination |
Student information | |
23-ANG-Profil3_G Profilmodul 3_G: Advanced Linguistics | Profil3.2_G Language System | Study requirement
Graded examination |
Student information |
Profil3.3_G Language in Use | Study requirement
Graded examination |
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there: