The theme of this bachelor's thesis is the analysis of human-human dialogue interactions from the point of view of turn-taking and conversation analysis. This thesis focuses on emerging Transition-Relevance Places (TRP) during ordinary interpersonal conversations. Methods for predicting and allocating TRP in ordinary conversations are studied. The thesis analyzes the corpus of data in the Slovak language, in which the emerging TRPs were marked and researched. The obtained analyzes were evaluated and compared with theoretical knowledge. Finally, a recommendation for automatically identify the TRP in conversation was created. The recommendation may contribute to future research into human-machine dialogues.