Master in Language Technology H2ltg

The Master in Language Technology programme at Göteborg University explores how computers use human language. Students engage in hands-on learning supported by linguistic theory, statistics, and machine learning, and study text technology and linguistic data resources, grammar technology and linguistic theory, and dialogue technology and spoken interaction.

The programme runs with a study pace of 100% on campus in Göteborg, with teaching organized across four mandatory courses in the first semester, four mandatory courses in the second semester, elective courses in the third semester, and a degree project in the final semester. The degree project can be conducted in collaboration with industry or one of the programme’s research groups.

Modules

• Introduction to Programming
• Introduction to Formal Linguistics
• Basic skills for Language Technology
• Themes in NLP and Language Technology
• Dialogue Systems
• Machine Learning for Statistical NLP: Introduction
• Computational Semantics
• Computational Syntax
• Machine Learning for Statistical NLP: Advanced
• Dialogue Systems 2
• Language Technology Resources
• Language Technology Project course

Students with an undergraduate degree (at least three years full-time study) in

• language technology,
• computational linguistics,
• computer science, or
• linguistics (with a background in formal linguistics, programming, or mathematics, inclusively, corresponding to 30 hecr, half a year full-time study)

are eligible to apply for this programme.

Students with an undergraduate degree in cognitive science, languages, philosophy, engineering, information technology, mathematics, or other relevant fields can also be considered, provided they can show a background in formal linguistics, programming, computer science, or mathematics, inclusively, corresponding to 30 hecr, half a year full-time study. English 6 or equivalent is also required.

Special instructions for application: Fill in the programme-specific Application summary sheet and submit it along with the rest of your supporting documents.

Selection: The selection is based on (1) a personal letter, and (2) grades from previous relevant higher education. The personal letter should explain clearly the motivation for choosing this programme. The letter should introduce the applicant both personally and academically/professionally.

English 6 or equivalent is also required.

• developer
• researcher
• project manager