Computational Linguistics

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.

Competences:
• 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

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%).