Infopaket

Computational Linguistics

ВБ 2.2

Вибіркова дисципліна для ОП

Second

2021/2022

3 Semester

4

PLO 3. To apply modern methods and techniques, namely informational, in order to perform successful and effective professional activity and guarantee the quality of research in a specific linguistic field. PLO 15. To choose optimal research approaches and methods of analysis for the specific language and literary material. PLO 16. To use specialized conceptual knowledge in a chosen linguistic field to solve complex tasks and issues, which require updates and integration of knowledge, often under conditions of incomplete or lacking information and contradictory requirements.

Full-time form

1) Successful completion of the courses: general theoretical preparation acquired within the framework of bachelor's degree programs; 2) Knowledge of the theoretical foundations of general linguistics, phonetics, morphology, morphemics, syntax, semantics, lexicography; 3) Mastery of the principles of analysis of linguistic units at all levels, elementary skills in selection, analysis, and interpretation of linguistic facts, skills in translation and editing of texts in Ukrainian and foreign languages; 4) Ability to apply linguistic tools in practice.

The academic discipline "Computational Linguistics" is a course within the Elective Block 2 "Applied Linguistics". Within this discipline, the main directions of computational linguistics and its conceptual apparatus are discussed. Students acquire the necessary knowledge about language and speech from the perspective of computational linguistics, familiarize themselves with typical research methods in the field, and learn basic algorithms for processing linguistic material. The theoretical foundations and practical implementations of modern NLP systems (automatic translation and text editing systems, speech synthesis and recognition, dialogue systems) are studied. During the classes, students have the opportunity to explore new avenues for the application of computer technologies in the study of language and speech phenomena, and gain experience in solving practical tasks related to the processing of textual and audio data.

1. Вінцюк Т.К., Сажок М.М., Селюх Р.А., Федорин Д.Я., Юхименко О.А., Робейко В.В. Автоматичне розпізнавання, розуміння та синтез мовленнєвих сигналів в Україні. // Управляющие системы и машины. - No 6 (278). - Киев, 2018. - С. 7-24. 2. Дарчук Н. П. Комп’ютерне анотування українського тексту: результати і перспективи. - Київ: Освіта України, 2013. 544 с. 3. Дарчук Н.П. Комп'ютерна лінгвістика (автоматичне опрацювання тексту). Підручник. — К.: Видавничо-поліграфічний центр "Київський університет", 2008. — 351 с. 4. В. В. Жуковська. Вступ до корпусної лінгвістики: навчальний посібник. - Житомир: Вид-во ЖДУ ім. І. Франка, 2013. - 142 с. 5. Карпіловська Є. А. Вступ до прикладної лінгвістики: комп'ютерна лінгвістика. - Донецьк: Юго-Восток, 2006.

Lectures, practical classes, independent work.

Current assessment: participation in practical sessions, laboratory work, preparation and presentation of reports, tests, module assessments. Final assessment is a credit.

Ukrainian