Basics of Computer-Assisted Natural Language Processing

Major: Philology (Applied Linguistics)
Code of subject: 6.035.10.E.103
Credits: 3.00
Department: Applied Linguistics
Lecturer: Tetiana Shestakevuch
Semester: 5 семестр
Mode of study: денна
Learning outcomes: The study of an educational discipline involves the formation of competencies in students of education: general competences ZK 3. Ability to communicate in the national language both orally and in writing. ZK 6. Ability to search, process and analyze information from various sources. ZK 7. The ability to identify, pose and solve problems. ZK 11. Ability to apply knowledge in practical situations. professional competences: FC 2. The ability to use knowledge about language as a special sign system, its nature, functions, and levels in professional activities. FC 3. Ability to use knowledge of the theory and history of the studied language(s) in professional activities. FC 6. The ability to freely, flexibly and effectively use the language(s) being studied, in oral and written form, in various genre-stylistic varieties and registers of communication (official, unofficial, neutral), to solve communicative tasks in various spheres of life. FC 7. Ability to collect and analyze, systematize and interpret linguistic, literary, folklore facts, interpret and translate text (depending on the chosen specialization). FC 8. The ability to freely use special terminology to solve professional tasks. FC 11. Ability to provide consultations on compliance with the norms of literary language and speech culture. FC 13. Ability to use appropriate software (programming languages, packages) to conduct linguistic and methodological research.
Required prior and related subjects: Problem-oriented methods and means of information technology Corpus linguistics
Summary of the subject: The educational discipline "Fundamentals of automated processing of natural language" is designed to form students of applied linguists an idea about the features of the information technology component of linguistic competence to ensure the automation of the processes of lemmatization, modeling and text generation, visualization of natural language information, and compliance with information security.
Assessment methods and criteria: Assessment of the knowledge of students is based on the performance of tasks within practical classes (current control) and the performance of examination control.
Recommended books: 1. Mathematical linguistics. [Book 1. Quantitative linguistics]: teaching. manual / [V. V. Pasichnyk, Yu. M. Shcherbina, V. A. Vysotska, T. V. Shestakevich] // Series "Computing". - Lviv: "New World -2000", 2012. — 359 p. 2. Karpilovska E.A. Introduction to Applied Linguistics: Computational Linguistics: Textbook. - Donetsk: Yugo-Vostok, 2006. - 188 p. http://www.inmo.org.ua/assets/files/Karpilovska. 3. Matsenko V.G. Information technologies in applied linguistics. Practical course: study guide / V.G. Matsenko – Chernivtsi: Chernivtsi national. Yury Fedkovich University, 2017. – 272 p. 4. Petrasova S. V. P30 Modern information technologies in linguistics: teaching. manual / S. V. Petrasova, N. F. Khairova. Kharkiv: FOP Panov A.M., 2020. 124 p.