Computational Linguistics

This course is part of the programme
Doctoral study programme Cognitive Science of Language

Objectives and competences

The course provides an overview of the linguistic theory in the domain of computational linguistics. The course aims to establish a necessary level of knowledge, on the basis of which students will be able to conduct their own research under the mentor’s supervision.

• Ability of critical thinking about selected topics in computational linguistics
• Ability to identify interesting and theoretically significant problems in computational linguistics


The knowledge of linguistics based on the previous course curriculum in this program.


The following topics will be covered:
• Natural language processing
• Modeling of natural language syntax
• Artificial intelligence

Intended learning outcomes

Basic knowledge of computational linguistics, including corpus-based and computer-intensive methods in linguistic research.


  • Daniel Jurafsky in James H. Martin. 2000. Speech and Language Processing. Prentice Hall. Catalogue E- version
  • W. Bruce Croft in John Lafferty (ur.). 2003. Language Modeling for Information Retrieval. Kluwer Academic Publishers. Catalogue
  • Articles from scientific journals covering the field -Computational Linguistics E- version, Information Retrieval E- version, Artificial Intelligence E- version, Machine Learning E- version, Journal of Artificial Intelligence Research E- version, Natural Language Engineering E- version, Machine Translation E- version.


Homework assignments and final term paper (50% / 50%).