Methods and Means of Quantitative Linguistics
Major: lnformation Systern and Technologies
Code of subject: 8.126.00.M.025
Department: Information Systems and Networks
Lecturer: Professor, Professor of ISN Department, Doctor of Technical Sciences Pasichnyk Volodymyr
Semester: 4 семестр
Mode of study: денна
Завдання: 1. knowledge and understanding of the scientific tools for the study of linguistic phenomena, modern methods of developing linguistic support for information systems; 2. the ability to form theoretical and practical solutions in modern computer linguistics, principles of cognitive modeling; 3. in-depth knowledge of modern scientific methods of linguistic research within the communicative and cognitive directions of linguistics.
Learning outcomes: 1) Ability to search, analyze and critically evaluate information from various sources. 2) Ability to apply knowledge and understanding to solve problems of synthesis and analysis of elements and systems characteristic of the chosen field of scientific research; 3) Ability to research and model phenomena and processes in complex dynamic information systems;
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: The knowledge gained in the process of studying this discipline is based on modern methods and tools for the study of text corpora, new technologies and methods focused on the processing of natural language information during the implementation of theoretical and empirical research, contributes to the acquisition of skills in the use of language research tools using statistical methods; study of the laws by which language functions.
Опис: 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.
Assessment methods and criteria: 1. Verification of knowledge and completed work in laboratory classes 2. Verification of individual calculation and graphic works according to the schedule and according to the work program 3. Conducting a written exam according to the schedule and checking the works 4. Conducting the oral component of the exam with an additional survey
Критерії оцінювання результатів навчання: written reports on laboratory work, oral examination (50%) final control (control measure, exam), written-oral form (50%)
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).