Vorlesungs­verzeichnis

Applied NLP Tools for Digital Humanities

136040 UE 2025W

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Moodle

Vortragende der Germanistik:

• Claudia Resch

Ziele, Inhalte und Methode der Lehrveranstaltung

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.

 

Art der Leistungskontrolle und erlaubte Hilfsmittel

Regular attendance (students may miss a maximum of two class sessions), short presentations, written work assignments, discussion contributions

 

Literatur

Will be announced in the first lesson and on moodle

 

Prüfungsstoff

Will be announced in the first lesson and on moodle

 

Mindestanforderungen und Beurteilungsmaßstab

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