Methods and Means of Quantitative Linguistics

Major: lnformation Systern and Technologies
Code of subject: 8.126.00.M.025
Credits: 3.00
Department: Information Systems and Networks
Lecturer: Professor, Professor of ISN Department, Doctor of Technical Sciences Pasichnyk Volodymyr
Semester: 4 семестр
Mode of study: денна
Мета вивчення дисципліни: To provide students with the acquisition of in-depth theoretical and practical knowledge, skills and understanding for the successful performance of professional duties in the specialty and to prepare students for further work in the chosen specialization.
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%)
Порядок та критерії виставляння балів та оцінок: 100-88 points - certified with an “excellent” grade - High level: the student demonstrates an in-depth mastery of the conceptual and categorical apparatus of the discipline, systematic knowledge, skills and abilities of their practical application. The mastered knowledge, skills and abilities provide the ability to independently formulate goals and organize learning activities, search and find solutions in non-standard, atypical educational and professional situations. The applicant demonstrates the ability to make generalizations based on critical analysis of factual material, ideas, theories and concepts, to formulate conclusions based on them. His/her activity is based on interest and motivation for self-development, continuous professional development, independent research activities, implemented with the support and guidance of the teacher. 87-71 points - certified with a grade of “good” - Sufficient level: involves mastery of the conceptual and categorical apparatus of the discipline at an advanced level, conscious use of knowledge, skills and abilities to reveal the essence of the issue. Possession of a partially structured set of knowledge provides the ability to apply it in familiar educational and professional situations. Aware of the specifics of tasks and learning situations, the student demonstrates the ability to search for and choose their solution according to the given sample, to argue for the use of a particular method of solving the problem. Their activities are based on interest and motivation for self-development and continuous professional development. 70-50 points - certified with a grade of “satisfactory” - Satisfactory level: outlines the mastery of the conceptual and categorical apparatus of the discipline at the average level, partial awareness of educational and professional tasks, problems and situations, knowledge of ways to solve typical problems and tasks. The applicant demonstrates an average level of skills and abilities to apply knowledge in practice, and solving problems requires assistance, support from a model. The basis of learning activities is situational and heuristic, dominated by motives of duty, unconscious use of opportunities for self-development. 49-00 points - certified with a grade of “unsatisfactory” - Unsatisfactory level: indicates an elementary mastery of the conceptual and categorical apparatus of the discipline, a general understanding of the content of the educational material, partial use of knowledge, skills and abilities. The basis of learning activities is situational and pragmatic interest.
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).