The Processing of Speech Formulas on Turkish: A Masked Priming Study

Dilek Göymen; Mehmet Aygüneş

doi:10.18492/dad.750788

TR EN

Türkçede Konuşma Kalıplarının İşlemlenmesi: Maskelenmiş Çağrıştırma Çalışması

Öz

Alanyazında birçok çalışma kalıp ifadelerin diğer yapılardan daha hızlı işlemlendiği göstermesine rağmen, bu işlemleme avantajının kaynağı üzerine oldukça sınırlı sayıda çalışma bulunmaktadır. Bütüncül Yaklaşım, bu avantajı kalıp ifadelerin parçalarına ayrıştırılmadan bir bütün olarak işlemlenmesi ile açıklarken, kalıp ifadelerin diğer yapılar gibi parçaları aracılığıyla işlemlendiğini savunan Dağıtılmış Simgeleme, bunu ifadeleri oluşturan sözcüklerin zihinsel bir bağ geliştirerek birbirini etkinleştirmesi ile açıklamaktadır. Maskelenmiş çağrıştırma yöntemiyle Türkçe konuşma kalıplarının işlemlenmesinin incelendiği bu çalışmada, kalıp ifadelerin işlemlenmesinde bu görüşlerden hangisinin geçerli olduğu sorgulanmıştır. Tepki süreleri incelendiğinde, Dağıtılmış Simgeleme görüşünün öne sürdüğü gibi konuşma kalıpları ile kalıplaşmamış ifadeler arasında anlamlı bir fark tespit edilememiştir. Ayrıca, anlamsal açıdan saydam olan konuşma kalıplarının saydam olmayanlara göre daha hızlı işlemlendiği tespit edilirken, katkısız eylem içermenin sadece saydam olmayan yapılar içerisinde anlamlı fark yarattığı görülmüştür.

Anahtar Kelimeler

The Processing of Speech Formulas on Turkish: A Masked Priming Study

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.

Keywords

Supporting Institution

Scientific Research Projects (BAP) Coordination Unit of Istanbul University

Project Number

SDP-2019-34179

Thanks

The authors wish to thank Prof. Dr. Ayşe Gürel for her valuable criticisms and suggestions. All errors belong to authors.

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Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Authors

Dilek Göymen
Türkiye

Mehmet Aygüneş ^*
Türkiye

Publication Date

December 30, 2020

Submission Date

June 10, 2020

Acceptance Date

December 17, 2020

Published in Issue

Year 2020 Volume: 31 Number: 2

DOI

https://doi.org/10.18492/dad.750788

IZ

https://izlik.org/JA94ST56CA

Cite

RIS / Bibtex

APA

Göymen, D., & Aygüneş, M. (2020). The Processing of Speech Formulas on Turkish: A Masked Priming Study. Dilbilim Araştırmaları Dergisi, 31(2), 207-230. https://doi.org/10.18492/dad.750788