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Methods and Means of Quantitative Linguistics
Major: System analysis
Code of Subject: 8.124.00.M.29
Credits: 4
Department: Information Systems and Networks
Lecturer: Professor, Professor of ISN Department, Doctor of Technical Sciences Pasichnyk Volodymyr
Semester: 4 семестр
Mode of Study: денна
Learning outcomes:
- knowledge and understanding of scientific tools for the study of linguistic phenomena, modern methods of developing linguistic support of information systems;
- the ability to formulate theoretical and practical solutions in modern computational linguistics, principles of cognitive modeling;
- in-depth knowledge of modern scientific methods of linguistic research within the limits of communicative and cognitive directions of linguistics.
- the ability to use knowledge and skills in conducting data collection, modeling of relevant resources and systems for processing natural texts;
- practical application of knowledge of the current state of affairs and the latest technologies in linguistics.
- the ability to formulate theoretical and practical solutions in modern computational linguistics, principles of cognitive modeling;
- in-depth knowledge of modern scientific methods of linguistic research within the limits of communicative and cognitive directions of linguistics.
- the ability to use knowledge and skills in conducting data collection, modeling of relevant resources and systems for processing natural texts;
- practical application of knowledge of the current state of affairs and the latest technologies in linguistics.
Required prior and related subjects:
Computer recognition and classification technologies in complex systems. Methods of analysis and optimization of complex systems.
Summary of the subject:
Basic concepts and definitions of computational linguistics. Formal basics. Linguistic models. Morphological component of natural language linguistic processor. Syntactic component of natural language linguistic processor. The semantic component of natural language processing systems. The pragmatic component of natural language processing systems. Computational Linguistics Products: Status and Perspectives.
Recommended Books:
1. Mathematical linguistics. Book 1. Quantitative Linguistics: A Study. manual / V.V. Pasichnyk, Yu.M. Shcherbina, VA Vysotska, TV Shestakevich.– Lviv: New World 2000, 359 p. .– (Computer Series).
2. Nikolsky Yu.V. Artificial Intelligence Systems: Educ. manual / Yu.V.Nikolsky, V.V.Pasnychnyk, Yu.M.Sherbyn.- Lviv: Magnolia-2006, 2010. - 279 pp. - (Computer series).
3. Yu. V. Nikolsky, V.V. Pasichnyk, Y. M. Shcherbin. "Artificial Intelligence Systems": a tutorial. 2nd edition, revised and revised - Lviv: Magnolia-2006, 2013. - 279 p.
4. Nikolsky Yu.V. Discrete Mathematics: Teaching manual / Yu.V.Nikolsky, V.V.Pasnychnyk, Yu.M.Sherbyn.- Lviv: Magnolia-2006, 2010. - 279 pp. - (Computer series).
2. Nikolsky Yu.V. Artificial Intelligence Systems: Educ. manual / Yu.V.Nikolsky, V.V.Pasnychnyk, Yu.M.Sherbyn.- Lviv: Magnolia-2006, 2010. - 279 pp. - (Computer series).
3. Yu. V. Nikolsky, V.V. Pasichnyk, Y. M. Shcherbin. "Artificial Intelligence Systems": a tutorial. 2nd edition, revised and revised - Lviv: Magnolia-2006, 2013. - 279 p.
4. Nikolsky Yu.V. Discrete Mathematics: Teaching manual / Yu.V.Nikolsky, V.V.Pasnychnyk, Yu.M.Sherbyn.- Lviv: Magnolia-2006, 2010. - 279 pp. - (Computer series).
Assessment methods and criteria:
written reports on laboratory work, oral examination (50%)
final control (control measure, exam), written-oral form (50%)
final control (control measure, exam), written-oral form (50%)