Farida Huseynova

Today, language understanding systems do quite many useful things with processing natural language, even they are able to process the data much faster than humans are. Nevertheless, they do not have the same logical understanding of natural language yet as humans have and the interpretation capabilities of a language understanding system depending on the semantic theory is not sufficient in all aspects. The research is centered on some of the important issues that arise using it in natural language processing.

This study investigates effective changes in professional development for teachers and takes a broad view of professional development, considering training teachers may receive throughout their careers and assessing their knowledge and skills. The main body of the article is devoted to a critique of various discussions and problems involved in teacher training in Azerbaijani schools, as well as pre-service and inservice teacher training programs which aim to develop teachers’ knowledge and skills. The research paper introduces the perspectives of teachers, trainers, and school managers assessing their activites as the main focus of the study, thus identifying the realities of teachers’ training experiences in schools. Concluding the report, some effective methods and experiences of developing countries and their best practices are given as recommendations for teachers, educators and policymakers.