Digital Linguistics
Description
The Digital Linguistics focus area explores the intersection of language and technology, equipping students with computational methods to analyze and process linguistic data. It covers topics such as natural language processing (NLP), corpus linguistics, machine learning for language, and text mining. Students gain hands-on experience with programming, data-driven language modeling, and digital tools used in linguistic research. This specialization prepares graduates for careers in speech technology, language technology industries, and computational research. By combining linguistic theory with practical computational skills, Digital Linguistics bridges the gap between traditional linguistics and modern data science.
Helpful documents like sample curricula and the annex to the study regulations can be found in the download section.
Language of instruction
Predominantly English. As soon as there is a student who does not speak German, the course will be held in English.
Regulations
In the focus area Digital Linguistics you have to choose the following modules:
- all compulsory modules (P-Module) out of the module group "Methodology" (Methodologie), which are 30 ECTS credits in total
- at least 30 ECTS credits from the module group Digital Linguistics (Digitale Linguistik)
- at least 12 ECTS credits from the module group Research Focus Digital Linguistics (Wissenschaftliche Vertiefung in Digitaler Linguistik)
- at least 18 additional ECTS credits of free choice from within the program
- Master thesis (30 ECTS credits)
Core-elective modules
| Module | Nr. | ECTS |
|---|---|---|
| Introduction to Computational Linguistics 2 | 06SM521-002 | 3 |
| Programming Techniques in Computational Linguistics 2 | 06SM521-005 | 6 |
| Mathematical Foundations of Computational Linguistics | 06SM521-003 | 6 |
| Introduction to Speech Processing | 06SM521-023 | 6 |
| Creation and Annotation of Linguistic Resources | 06SM521-006 | 6 |
| Machine Translation | 06SM521-008 | 6 |
| Machine Learning in Computational Linguistics | 06SM521-009 | 6 |
| Digital Accessibility | 06SM521-012 | 6 |
| Language Technology and Web Applications | 06SM521-013 | 9 |
| Eye tracking: Experiment design and machine learning methods | 06SM521-530 | 6 |
| Text Analytics in the Digital Humanities | 06SM521-014 | 6 |
| Text Mining | 06SM521-015 | 6 |
| Workshop Week | 06SM521-514 | 6 |
| Programming Project 1 | 06SM521-512 | 6 |
| Programming Project 2 | 06SM521-517 | 6 |
| Practical Training Off-Site | 06SM521-016 | 6 |
| Practical Training In-House | 06SM521-017 | 6 |
| Student Teaching Assistant 1 | 06SM521-513 | 3 |
| Student Teaching Assistant 2 | 06SM521-516 | 3 |
Scientific Immersion in Digital Linguistics
| Module | Nr. | ECTS |
|---|---|---|
| Intermediate Methods and Programming in Digital Linguistics |
06SM521-529 |
6 |
| [Seminar] |
06SM521-s04 |
6 |
Workshop Week
Workshop week is offered every spring semester. It is usually with international exchange in the form of excursion abroad.
Depending on the possibilities, the following elements are part of the program:
- Visiting universities and research centres
- Exchange with students, doctoral students and lecturers
- Presentation of own projects
- Company visits
- Participation in a conference or summer school.
The workshop week usually takes place at the end of the spring semester.
Study Structure
Which modules can be done in which semester? The document "Study Structure Digital Linguisitcs" is a list of the whole choice of modules for the focus area Digital Linguistics, with indications about the order and the curriculum. Please note that bachelor's modules that must be taken to fulfill any requirements are not listed here.
Organizational unit
The modules for this focus area are offered by the Department of Computational Linguistics.