Türkçede Konuşma Kalıplarının İşlemlenmesi: Maskelenmiş Çağrıştırma Çalışması

Abstract

Studies have indicated that formulaic sequences are processed significantly faster than newly created phrases; however, the source of this processing advantage has not been sufficiently investigated in the literature. The Holistic Approach justifies this processing advantage for formulaic sequences with the argument that they are processed and stored as single units without being decomposed into their constituents. On the contrary, Distributed Representation argues against holistic processing. It proposes instead that formulaic sequences are processed through their parts as in novel non-formulaic phrases. Their constituents form a mutual association in the sense that the mental activation of a component part activates the other, thus leading to faster processing. The present study reports findings from a masked priming experiment investigating Turkish speech formulas' online processing in native processing. Results show that speech formulas and their matched novel phrases are processed similarly, as evidenced by no significant difference in reaction times. These findings support Distributed Representation in the processing of formulaic sequences. Results also suggest that non-transparent formulas are processed more slowly than transparent ones.