Eurasian Journal of Mathematical Theory and Computer Sciences

This article examines the main methods of text data processing: lemmatization, tokenization, and stemming. These methods are used to normalize and prepare text for analysis and machine learning. The algorithms and approaches for implementing each method are described, and their advantages and disadvantages are analyzed. The research results guide the selection of an appropriate method based on the task and the characteristics of the text being processed.

This study examines the application of CLIL (Content and Language Integrated Learning) technology in physics lessons in higher education. The purpose of the study is to develop learning strategies based on CLIL and assess their impact on improving the learning outcomes and academic language skills of undergraduate students. The research was conducted on the basis of a mixed methodology with university students. Data were collected through pre-test and post-test, lesson observations, and student surveys. The results showed that classes based on CLIL technology significantly improve students' understanding of physics, motivation, and academic communication. The research results confirm that CLIL technology is an effective pedagogical approach to the modernization of physics education in higher education.