Description of Course:

This program explores various practices in Natural Language Processing (NLP), language theory models, Big Data analysis, machine translation theory and practice, and algorithms for improving text automatically. Students get hands-on experience with large language models, automated text analysis, and work on creating digital language guides and other cutting-edge technologies.

Key skills and competencies include:

1. Understanding the latest achievements in science and advanced technologies through research.
2. Developing strategies to use new information technologies in humanities, employing intellectual data analysis, machine learning, computational linguistics, and knowledge representation.
3. Engaging in research activities related to logical and algorithmic intelligent systems.
4. Communicating research findings through reports, abstracts, publications, and public discussions.
5. Developing systems for human-machine and machine-to-machine interaction, including algorithms and methods for machine translation.
6. Learning to extract named entities from data.
7.  Creating systems that facilitate communication for individuals with disabilities.