JOURNAL ARTICLE

Relative construction in Hittite: A corpus-based case study in syntax-prosody interface.

  • Published In: Journal of Historical Linguistics, 2023, v. 13, n. 3. P. 375 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: Lyutikova, Ekaterina; Sideltsev, Andrei 3 of 3

Abstract

Summary: The paper proposes a novel structural analysis of Hittite determinate relative clauses on the basis of a corpus study considering a wider and fuller array of Hittite data than ever before. In Hittite, relative wh-phrases attest a wide range of linear positions: first/initial, clause-second, immediately preverbal or even postverbal. We build upon the current assumption that wh-pronouns are clitics and thus their placement is determined by the syntax-prosody interface. As for the syntactic component, we argue against the in situ construal of wh-elements. Instead, we propose that what linearly appears to be clause-second, preverbal or postverbal position of the wh-pronoun is structurally associated with Spec, FinP. The prosodic component is provided by the standardly acknowledged prosodic inversion, but the prosodic domain for the placement of wh-clitics is not clausal (CP), it is rather to be identified with a smaller domain within CP, namely, FinP. We also provide the first ever systematic treatment of split wh-phrases which are highly problematic for existing approaches but are fully accounted for by our analysis. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Historical Linguistics. 2023/09, Vol. 13, Issue 3, p375
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2023
  • ISSN:2210-2116
  • DOI:10.1075/jhl.22014.lyu
  • Accession Number:172329867
  • Copyright Statement:Copyright of Journal of Historical 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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