JOURNAL ARTICLE

Syntactic compositionality of property concept (PC)-expressions in Telangana Telugu.

  • Published In: Asian Languages & Linguistics, 2025, v. 6, n. 2. P. 384 1 of 3

  • Database: Humanities Source Ultimate 2 of 3

  • Authored By: Nikhilesh, Thirkovela; Sanyal, Paroma 3 of 3

Abstract

This paper explores the syntactic composition of Property Concept (PC)-expressions in Telangana Telugu. The study reveals two distinct ways in which PC-roots are composed into PC-adjectives and PC-nouns in syntax. These are: (1) PC-roots directly merge with an a-cat to form PC-adjectives and (2) PC-roots base-merge with an n-cat to form PC nouns, which necessitate more complex compositional structures such as relativization and case marking for their appearance in modification structures. 57 PC-expressions are selected from TT and four syntactic tests are employed to ascertain the syntactic category of each expression. It was found that 12 PC-roots exhibit adjectival properties and are categorized as PC-adjectives, being merged directly in the attributive modification position as adjectives. The remaining 45 PC-roots exhibit nominal properties, leading to their categorization as PC-nouns. The syntactic composition of these PC-nouns involves additional mechanisms like relativization. Some PCs use the CoS copula avu 'become' while others use a ∅ equative copula, resulting in variations in sub-eventual semantics. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Asian Languages & Linguistics. 2025/07, Vol. 6, Issue 2, p384
  • Document Type:Article
  • Subject Area:Literature and Writing
  • Publication Date:2025
  • ISSN:26659336
  • DOI:10.1075/alal.24018.thi
  • Accession Number:191272021
  • Copyright Statement:Copyright of Asian Languages & Linguistics is the property of John Benjamins Publishing Co. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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