Infopaket

Program Technologies of Natural Language Processing (ANLP)

ДВС.1.05

Вибіркова дисципліна для ОП

Second

2023/2024

4 Semester

4

PLO 23.1. To evaluate and choose the methods and models of development, implementation, and operation program means and control them at all stages of the life cycle. PLO 24.1. Developing and evaluating strategies to design the program means; justifying, analyzing, and evaluating the adopted project solutions in terms of the final program product quality. PLO 25.1. To choose paradigms and programming languages to solve the Applied Linguistics problems, apply the system and specialized tools, component technologies (platforms), and integrated environments of software development. PLO 27.1

Full-time form

Basic programming and database skills. Understanding the concept and basic principles of natural language processing systems.

The educational discipline is devoted to the study of issues necessary for the high-quality implementation of relevant information systems for the automatic processing of natural language: working with API libraries; working with databases of linguistic information; creating electronic learning tools and automated learning systems for natural languages. To implement practical tasks, the Python programming language, PyCharm visual software development environment, Telegram API library, SQLite database management system, etc. are studied.

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. 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. 4. Vajjala S. Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems / Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta & Harshit Surana. – Sebastopol, CA, US : O'Reilly Media, 2020. – 456 p. 5. Jurafsky D. Speech and Language Processing / Daniel Jurafsky, James H. Martin, Peter Norvig, Stuart Russell. – London : Pearson, 2014. – 1032 p.

Lectures, laboratory, and practical classes, independent work.

Assessment methods: performing laboratory work, writing a modular test, and passing computer testing. The credit is given based on the results of the student's work during the entire semester and does not include additional assessment measures. Students who scored the minimum allowable number of points (60) receive a "Passed". Students who did not score the minimum allowable number of points (60) receive a "Failed". The scale of conformity of grades: Passed - 60-100; Failed - 0-59.

Ukrainian, English