1. Application of constructive methods of mathematical invisics: information theory and information systems; set theory, discrete mathematics and combinatorics, methods of mathematical statistics and probability theory, terminology and definitions of basic concepts of information technologies to the extent sufficient for the application of the basic knowledge, skills and skills acquired for practical application in the processing of various text materials.
2. Ability to create imitation datasets for testing methods and debugging algorithms, graphically presenting the results of the use of information technologies of word processing.
3. Use of effective methods of analysis and visualization of text data in modern information systems.

Machine learning

Elements of information theory in linguistics. Probabilistic text modeling. Information on linguistic events. Statistical linguistics. Identification of texts

1. Кубко В.П. Документа лінгвістика.. Конспект лекцій для студентів денної та заочної форм
навчання / В.П. Кубко.– Одеса: ОНПУ, 2009. – 81с.
2. Соснина, Е. П. Введение в прикладную лингвистику : учебное пособие / Е. П. Соснина.
–2-е изд., испр. и доп. – Ульяновск : УлГТУ, 2012. – 110 с.
3. Кайсарова Д.В. Математическая лингвистика. Практикум. / Д.В. Кайсарова, И.Ю. Коцюба
– СПб: Университет ИТМО, 2016. – 67 с.

50 - labs
50 - exam