Focusing on Turkish Sign Language (TİD) data, this study aims to provide a compositional analysis of SL classifiers, in which the presence of each classifier type can be accounted for by using non-phenomenon-specific linguistic tools. The analysis assumes that the roots in classifier constructions are devoid of any information and severed from both external and internal arguments (Borer, 2005). The arguments are introduced via the functional projections and the structure determines classifiers.
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