Infopaket

Multi-semester discipline Programming Technologies within Linguistics. Part 1, 2

ДВС 1.06

Вибіркова дисципліна для ОП

First

2023/2024

6 Semester

4

PLO 24. To know and to implement fundamental conceptions, paradigms, and the main functioning principles of language, instrumental and computing means of software engineering. PLO 25. To conduct a pre-project inspection of a linguistic branch and system analysis of the linguistic object of software designing. PLO 26. To be able to choose and use methodology for creating software in accordance with a linguistic task. PLO: 29, 30, 31, 32.

Full-time form

1) Having basic programming skills; 2) understanding the main tasks of computational linguistics.

The educational discipline is devoted to the study of issues necessary for solving the tasks of computational linguistics, in particular, the creation of console projects for linguistic applications; using libraries and creating functions for natural language processing; working with files and databases of linguistic information. To implement practical tasks in the discipline, the Python programming language, the visual software development environment IntelliJ PyCharm, the SQLite database management system, etc. are studied in particular.

1. Bird S. Natural Language Processing with Python [Електрон. ресурс] / Steven Bird, Ewan Klein, and Edward Loper. – 2020. – URL : https://www.nltk.org/book. – Дата звернення: 12.10.2020. 2. Lane H., Howard C., Hapke H. M. Natural Language Processing in Action: Understanding, analyzing, and generating text with Python. – Shelter Island : Manning, 2019. – 544 p. 3. Joshi P. Artificial Intelligence with Python. – Birmingham - Mumbai : Packt, 2017. – 446 p. 4. Deitel P., Deitel H. Python for Programmers. – London : Pearson Education, 2019. – 640 p. 5. Bengfort B., Bilbro R., Ojeda T. Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning. – Beijing; Boston; Farnham; Sebastopol; Tokyo : O'Reilly, 2018. – 332 p.

Lectures, laboratory classes, independent work, laboratory work, and a modular control test.

At the end of the second semester, the assessment is conducted. The arithmetic average of the sum of points scored by the student for completed tasks during the 1st and 2nd semesters of studying the discipline is calculated for the credit and is presented as a final assessment. Students who scored the minimum allowable number of points (60) get"Passed". Students who did not score the minimum allowable number of points (60) get "Failed".

Ukrainіаn, English