Computer Linguistics

Major: System Analysis
Code of subject: 6.124.03.E.113
Credits: 6.00
Department: Information Systems and Networks
Lecturer: Ph.D., Associate Professor V.A. Vysotska
Semester: 8 семестр
Mode of study: денна
Learning outcomes: As a result of studying the discipline, the applicant must be able to: 1). The student must know and understand the basic definitions, statements and theorems, methods of proving statements, areas and methods of applying the acquired linguistic knowledge of natural language processing in the following sections: • natural language development; • normalization of the text; • distance editing; • modeling of language using N-grams; • statistical processing of natural languages; • spam filtering; • development of search engines; • classification and sentimentation of the text; • spelling correction and noisy channel; • sentiment analysis; • identification of sarcasm. 2). A trained professional must be able to apply the acquired knowledge to • formulation and solution of problems in the field of computer science for the study of natural language, • construction of algorithms for solving applied linguistic problems, • study of new information technologies for natural language processing, • construction of a mathematical description of applied linguistic problems, • analysis of the results of solving problems of natural language development.
Required prior and related subjects: Machine learning Organization of databases and knowledge Object-oriented programming
Summary of the subject: The course is devoted to text linguistics, which considers the text as an autonomous structure and studies its structure, categories and components, as well as the rules of constructing a coherent text. The implementation of such tasks involves the use of methods of linguistic analysis for the preliminary analysis of many texts and comparison of results. The object of linguistic analysis of the text can be, for example, scientific, official-business, journalistic and artistic texts. The logical rules of constructing a coherent text found during linguistic analysis can be used in solving problems of processing and synthesis of natural language, which is an important problem in creating artificial intelligence systems. The use of linguistic analysis allows us to distinguish the rules for constructing a coherent text based on the analysis of texts of different styles. Petri nets related to the modeling of causal relationships have found application in the machine construction of coherent texts, as well as in the implementation of machine language synthesis.
Assessment methods and criteria: • Current control (30%): written reports on laboratory work, oral examination; • Final control (70% of exam): in written.
Recommended books: 1. Пасічник В.В. Математична лінґвістика. Книга 1. Квантитативна лінгвістика / В.А. Висоцька, В.В. Пасічник, Ю.М. Щербина, Т.В. Шестакевич // Навчальний посібник з грифом Міністерства освіти і науки, молоді та спорту України. – Львів: видавництво «Новий світ-2000», 2012. – 359 с. 2. Пасічник В. В. Математична лінгвістика. Книга 2. Комбінаторна лінгвістика: навчальний посібник / В. В. Пасічник, Ю. М. Щербина, В. А. Висоцька, Т. В. Шестакевич. – Львів: Видавництво Львівської політехніки, 2019. – 250 c. 3. Victoria Vysotska. Computer linguistics for online marketing in information technology : Monograph. – Saarbrucken, Germany: LAP LAMBERT Academic Publishing, 2018. – 396 p. – ISBN-13: 978-613-9-84601-6, ISBN-10: 6139846013, EAN: 9786139846016. – Book language: English. – https://www.lap-publishing.com/catalog/details/store/gb/book/978-613-9-84601-6/computer-linguistics-for-online-marketing-in-information-technology?search=vysotska. – Published on: 2018-05-30 4. Бісікало О.В. Виявлення ключових слів на основі методу контент-моніторингу україномовних текстів / О.В. Бісікало, В.А. Висоцька // Науковий журнал «Радіоелектроніка. Інформатика. Управління.». – № 1(36). – Запоріжжя: ЗНТУ. – 2016/1. – С. 74-83. – ISSN 1607-3274 (print), ISSN 2313-688X (on-line). – http://ric.zntu.edu.ua/. 5. Литвин В.В. Методи та засоби опрацювання інформаційних ресурсів на основі онтологій: монографія / В.В. Литвин, В.А. Висоцька, Д.Г. Досин. – Львів: ЛА «Піраміда», 2016. – 404 с.