Language technology resources

Education facts

Code: LT2314

The purpose of this course is to give a further introduction to algorithmic resources for language technology such as algorithms for word sense induction and disambiguation, learning algorithm and classification of sentences. Language technology resources, such as corpora, lexicons, syntax and text as well as language models will be discussed in connection with relevant algorithms.

Entry requirements

Admission to the course requires having passed the following courses: - LT2001 Introduction to programming 7.5 credits - LT2002 Introduction to formal linguistics 7.5 credits - LT2003 Natural language processing, 15 credits (or LT2123 Basic skills for language technology, 7.5 credits together with LT2124 Themes in NLP and language technology, 7.5 credits) - LT2212 Statistical methods 7.5 credits (or LT2222 Machine learning for statistical NLP: introduction 7.5 credits) or equivalent language technology competence. English 6 or equivalent is also required.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Language technology resources

  University of Gothenburg

  Start date: 4 November 2026

  End date: 17 January 2027

  Pace of study: 50 %