Computer-linguistic Services for Scientific Researches

Major: Information, Library and Archival Science
Code of subject: 7.029.01.O.007
Credits: 3.00
Department: Social Communication and Information Activities
Lecturer: Ph. D., Associate Professor Solomiia Fedushko
Semester: 1 семестр
Mode of study: денна
Learning outcomes: know: - Use applied socio-communication technologies to organize effective communication at the professional, scientific and social levels on the basis of tolerance, dialogue and cooperation. be able to: - Create and sell consumer information products and services. - Use knowledge and skills in data collection, modeling of document and information systems and their resources in the analysis of the competitiveness of the institution. - Ability to communicate, including oral, written and electronic communication in Ukrainian and one of the foreign languages ??(English). - Ability to use a variety of methods, including information technology, to communicate effectively at the professional and social levels.
Required prior and related subjects: Communication management of the institution
Summary of the subject: Study of the principles of application of language information technologies for solving professional document-oriented tasks.
Assessment methods and criteria: • written reports on laboratory work, oral examination (40%); • final control (exam): written, oral form (60%).
Recommended books: 1. Chuprina M.O. Information and communication technologies in business [Electronic resource]: textbook. way. Electronic text data (1 file: 663 Kbytes). Kyiv: KPI named after Igor Sikorsky, 2020. 116 p. 2. Petrasova S.V., Khairova N.F. Modern information technology in linguistics: textbook. way. Kharkiv: FOP Panov AM, 2020. 124 p. 3. Piven N.M. Psycholinguistic aspects of translation [Electronic resource]: textbook. manual. Priazovsky State Technical University. Mariupol, 2014. - 60 p. - Access mode: http://umm.pstu.edu/handle/123456789/2984 4. Pashchenko S.S. Features of multilingual machine translation of technical documentation. CHNU them. Petra Mogili. Mykolaiv, 2019. 12 p. 5. Applied linguistics, computer translation [Electronic resource]. - Access mode: http://damar.ucoz.ru/publ/9-1-0-238. 6. Becker, L. Write a Brilliant CV. SAGE Publications Limited, 2020. 140p. 7. Kikkeri, N. S., Nagalli S. How Can I Make My CV Strong?. In: International Medical Graduate and the United States Medical Residency Application. Springer, Cham, 2020. p. 89-97. 8. Rahimi M. Digital storytelling in language classes. In: Advanced Methodologies and Technologies in Modern Education Delivery. IGI Global, 2019. p. 276-290. 9. Farzindar A.A., Inkpen D. Natural Language Processing for Social Media. Synthesis Lectures on Human Language Technologies, 13 (2), 2020,1-219.