Self-repair, which is defined as righting mechanism for the organization of language use in social integration, is a commonly used strategy in everyday talk across languages. Specifically focusing on self-initiated same-turn recycling self-repairs, the study seeks to discover i) if recycling used as a self-initiated same-turn self-repair operator in Turkish and ii) what functions do self-initiated same-turn recycling self-repairs serve in Turkish everyday discourse within the framework of Conversation Analysis (CA) as the method of analysis. A review of the literature shows a large body of research on repair in Turkish data, however this specific form of self-repair and its functions remain to be explored. The database of the study consists of the recordings of a 10-hour Turkish everyday discourse. Cohen’s kappa score was used in data analysis to calculate inter-rater agreement in identifying this specific type of self-repair. The findings showed that in line with the previous studies conducted in other languages, Turkish speakers use self-initiated same-turn recycling self-repairs and they use them with several pragmatic functions such as providing extra information/detail, clarifying a point in prior talk, downgrading speaker’s epistemic stance, delimiting the scope of one’s assessment, gaining linguistic/cognitive planning time, revising person/object references and revising the constituent order in a clause/phrase

Repair, self-repair, recycling, conversation analysis, kappa score.