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Computational, Statistical and Quantitative Linguistics

Major: Philology
Code of Subject: 8.035.00.M.19
Credits: 3
Department: Information Systems and Networks
Lecturer: Professor, Professor of ISN Department, Doctor of Technical Sciences Pasichnyk Volodymyr
Semester: 3 семестр
Mode of Study: заочна
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.
Required prior and related subjects:
Corpus linguistic technologies. Methods of cognitive linguistics in applied research. Theory and methodology of communicative linguistics.
Summary of the subject:
Statistical linguistics as a branch of linguistics. Development and development of statistical linguistics as a science. Linguistic statistics, laws, dependencies. Probabilistic modeling of text and its components. Simulation modeling. Planning and conducting experiments with models. Information on linguistic events. Text Linguistics.
Recommended Books:
1. Buk SN Fundamentals of Statistical Linguistics: A Study Method. tool. / Ans. ed. prof. F.S. Bacevich / SN. Beech. - L.: Publishing center of LNU. I. Franko, 2008. - 124 p.
2. 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).
3. Zhluktenko VI Probability Theory and Mathematical Statistics: A Study Method. guide: At 2 am - Part II. Mathematical statistics / VI Zhluktenko, SI Nakonechny, SS Savina. - K .: KNEU, 2001. - 336 p.
4. Piotrovsky RG Mathematical Linguistics: A Textbook / Piotrovsky RG, Bektayev KB, Piotrovskaya AA - M.: Higher School, 1977. - 384 p.
5. Levitsky VV Quantitative methods in linguistics / V.V.Levitsky. - Vinnytsia: New Book, 2007. - 264 p.
Assessment methods and criteria:
written reports, oral questioning (40%)
final control: written-oral form (60%)

Computational, Statistical and Quantitative Linguistics

Major: Philology
Code of Subject: 8.035.00.M.24
Credits: 3
Department: Information Systems and Networks
Lecturer: Professor, Professor of ISN Department, Doctor of Technical Sciences Pasichnyk Volodymyr
Semester: 3 семестр
Mode of Study: заочна
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.
Required prior and related subjects:
Corpus linguistic technologies. Methods of cognitive linguistics in applied research. Theory and methodology of communicative linguistics.
Summary of the subject:
Statistical linguistics as a branch of linguistics. Development and development of statistical linguistics as a science. Linguistic statistics, laws, dependencies. Probabilistic modeling of text and its components. Simulation modeling. Planning and conducting experiments with models. Information on linguistic events. Text Linguistics.
Recommended Books:
1. Buk SN Fundamentals of Statistical Linguistics: A Study Method. tool. / Ans. ed. prof. F.S. Bacevich / SN. Beech. - L.: Publishing center of LNU. I. Franko, 2008. - 124 p.
2. 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).
3. Zhluktenko VI Probability Theory and Mathematical Statistics: A Study Method. guide: At 2 am - Part II. Mathematical statistics / VI Zhluktenko, SI Nakonechny, SS Savina. - K .: KNEU, 2001. - 336 p.
4. Piotrovsky RG Mathematical Linguistics: A Textbook / Piotrovsky RG, Bektayev KB, Piotrovskaya AA - M.: Higher School, 1977. - 384 p.
5. Levitsky VV Quantitative methods in linguistics / V.V.Levitsky. - Vinnytsia: New Book, 2007. - 264 p.
Assessment methods and criteria:
written reports, oral questioning (40%)
final control: written-oral form (60%)