Universität Wien
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340142 VU Introduction to Computational Linguistics (2024W)

6.00 ECTS (3.00 SWS), SPL 34 - Translationswissenschaft
Continuous assessment of course work
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. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 22.10. 16:45 - 20:00 Medienlabor II ZfT Gymnasiumstraße 50 4.OG
  • Tuesday 29.10. 16:45 - 20:00 Medienlabor II ZfT Gymnasiumstraße 50 4.OG
  • Tuesday 05.11. 16:45 - 20:00 Medienlabor II ZfT Gymnasiumstraße 50 4.OG
  • Tuesday 12.11. 16:45 - 20:00 Medienlabor II ZfT Gymnasiumstraße 50 4.OG
  • Tuesday 19.11. 16:45 - 20:00 Medienlabor II ZfT Gymnasiumstraße 50 4.OG
  • Tuesday 26.11. 16:45 - 20:00 Medienlabor II ZfT Gymnasiumstraße 50 4.OG
  • Tuesday 03.12. 16:45 - 20:00 Medienlabor II ZfT Gymnasiumstraße 50 4.OG
  • Tuesday 10.12. 16:45 - 20:00 Medienlabor II ZfT Gymnasiumstraße 50 4.OG
  • Tuesday 14.01. 16:45 - 18:15 Hörsaal 1 ZfT Gymnasiumstraße 50 1.OG
  • Tuesday 14.01. 18:30 - 20:00 Medienlabor II ZfT Gymnasiumstraße 50 4.OG

Information

Aims, contents and method of the course

Participants will be provided a brief overview of classical approaches and branches of linguistics as well as a sound insight into various methods and tasks in the field of computational linguistics. Terminological subtleties, such as the difference between Natural Language Processing (NLP) and Computational Linguistics, will be addressed. Current research approaches as well as possible further research topics will be discussed.

Contents:
- Introduction to the concepts and directions of traditional linguistics
- Classical tasks of computational linguistics
- Presentation of different methods for language processing from tokenization to sentiment analysis
- Different NLP systems and computational linguistic analysis models
- Discussion of the current state of research as well as further research ideas
- Practical introduction to basic methods of automatic language processing

Methods:
- Theoretical introduction to linguistics and computational linguistics
- Short presentations by students on selected current research publications in the field
- Development and implementation of practical solutions to current problems in computational linguistics

Assessment and permitted materials

Programming assignments, student presntations, final programming project and written exam.

Minimum requirements and assessment criteria

Minimum requirement: positive performance on the written exam and the final programming project.

Grading:
0-60% 5 (fail),
61-70% 4,
71-80% 3,
81-90% 2,
91-100% 1

Examination topics

The written exam focuses on the basic theoretical concepts of linguistics and computational linguistics. The student presentations already bridge the theoretical and practical contents, since newly published research papers will be presented. The practical programming assignments and the final programming project require knowledge of Python and the practical implementation of the theoretical content of the course.

Reading list

Will be announced in the first class of the lecture and on Moodle.

Association in the course directory

Last modified: We 20.11.2024 09:46