1
Assistant P Professor, Department of ELT, Payam Noor University, Tehran, Iran
2
Ph.D. of Linguistics, Mohaghegh Ardabili University, Ardabil, Iran
Abstract
The present paper was an attempt to inquire into the morpho-syntactic features of light verb construction in Azeri-Turkish/Persian intra-sentential code-switching, employing the matrix language frame model. The analysis of data obtained from the interactions between bilingual teachers (n = 4) and students (n = 100) and from the conversation of 8 other bilingual teachers in a primary school revealed that Persian finite verbs do not participate in Azeri-Turkish morpho-syntactic frame simply because such verbs are [+ thematic role assigner] and carry more syntactic baggage. Persian preverbal elements, however, appeared to combine with Turkish light verbs showing more resistance to the syntactic frame of Azeri-Turkish in causative structures. Activation of embedded language preverbal element at predicate-argument level not only indicates the matrix language being far from the sole source for the grammatical shaping but also falsifies the independence of syntax from lexicon.
Rouhi,A. and Heidari,A. (2015). Light verb Constructions in Azeri-Turkish/Persian Code-switching based on the Matrix Language Frame Model. Language Related Research, 6(1), 111-129.
MLA
Rouhi,A. , and Heidari,A. . "Light verb Constructions in Azeri-Turkish/Persian Code-switching based on the Matrix Language Frame Model", Language Related Research, 6, 1, 2015, 111-129.
HARVARD
Rouhi,A.,Heidari,A. (2015). 'Light verb Constructions in Azeri-Turkish/Persian Code-switching based on the Matrix Language Frame Model', Language Related Research, 6(1), pp. 111-129.
CHICAGO
A. Rouhi and A. Heidari, "Light verb Constructions in Azeri-Turkish/Persian Code-switching based on the Matrix Language Frame Model," Language Related Research, 6 1 (2015): 111-129,
VANCOUVER
Rouhi,A.,Heidari,A. Light verb Constructions in Azeri-Turkish/Persian Code-switching based on the Matrix Language Frame Model. Language Related Research, 2015; 6(1): 111-129.