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136040 UE Applied NLP Tools for Digital Humanities (2025W)

5.00 ECTS (2.00 SWS), SPL 13 - Europäische und Vergleichende Sprach- und Literaturwissenschaft

Continuous assessment of course work

ON-SITE

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).

Registration is open from Mo 08.09.2025 08:00 to Su 28.09.2025 23:59
Deregistration possible until Fr 31.10.2025 23:59

Details

max. 25 participants

Language: English

Lecturers

Classes (iCal) - next class is marked with N

Monday 13.10. 13:15 - 14:45 Hörsaal 2 Hauptgebäude, Tiefparterre Stiege 5 Hof 3
Monday 20.10. 13:15 - 14:45 Hörsaal 2 Hauptgebäude, Tiefparterre Stiege 5 Hof 3
Monday 27.10. 13:15 - 14:45 Hörsaal 2 Hauptgebäude, Tiefparterre Stiege 5 Hof 3
Monday 03.11. 13:15 - 14:45 Hörsaal 2 Hauptgebäude, Tiefparterre Stiege 5 Hof 3
Monday 10.11. 13:15 - 14:45 Hörsaal 2 Hauptgebäude, Tiefparterre Stiege 5 Hof 3
Monday 17.11. 13:15 - 14:45 Hörsaal 2 Hauptgebäude, Tiefparterre Stiege 5 Hof 3
Monday 24.11. 13:15 - 14:45 Hörsaal 2 Hauptgebäude, Tiefparterre Stiege 5 Hof 3
Monday 01.12. 13:15 - 14:45 Hörsaal 2 Hauptgebäude, Tiefparterre Stiege 5 Hof 3
Monday 15.12. 13:15 - 14:45 Hörsaal 2 Hauptgebäude, Tiefparterre Stiege 5 Hof 3
Monday 12.01. 13:15 - 14:45 Hörsaal 2 Hauptgebäude, Tiefparterre Stiege 5 Hof 3
Monday 19.01. 13:15 - 14:45 Hörsaal 2 Hauptgebäude, Tiefparterre Stiege 5 Hof 3
Monday 26.01. 13:15 - 14:45 Hörsaal 2 Hauptgebäude, Tiefparterre Stiege 5 Hof 3

Information

Aims, contents and method of the course

In the humanities disciplines, natural language processing (NLP) methods, such as tokenization, PoS tagging, and Named Entity Recognition, play a fundamental role in analysing texts from all sources and time periods. This course focuses specifically on familiarising students with a range of computational linguistic tools suited to different language-related tasks (e.g., translation studies, linguistics, literary studies).
By applying these tools from the user’s perspective, students gain both an overview of the tools and specific insights into how they work.
We will discuss the relevance of NLP methods during the research process, as well as their performance, using concrete examples. An important goal of this course is to evaluate and compare the tools applied.

The language of the course is English.

The course is held in cooperation with the Austrian Centre for Digital Humanities (ACDH) of the Austrian Academy of Sciences. In this context, experts will be invited to introduce current research projects and routines that employ NLP methods.

Methods: Instruction from the course teachers, self-study and independent work on relevant topics, group discussions, practical tasks, and short presentations.

Assessment and permitted materials

Regular attendance, short presentations, written work assignments, discussion contributions

Minimum requirements and assessment criteria

Short presentations (30%), written work assignments (30%), discussion contributions (40%)

Examination topics

Will be announced in the first lesson and on moodle

Reading list