Options
Roots and Lexicality in Distributed Morphology
File(s)
File | Description | Size | Format | |
---|---|---|---|---|
YorkWPRepository.pdf | 213.18 KB |
Author(s)
Date Issued
May 2009
Date Available
28T09:31:23Z February 2013
Abstract
This paper examines the nature and content of morphological roots in relation to their syntactic context. A careful consideration of doublets, where the same root may take alternative noun - inherent features, leads to the claim that roots do not carry selectional features or class diacritics. Relying on the distinction between syntactic nodes and their exponents, central to a realizational model like Distributed Morphology, I argue that the syntactic atoms corresponding to root nodes are associated with open - class exponents but not with a specific meaning that might select a licensing syntactic context. "Lexical" meaning arises constructionally, and so do lexical properties like gender or class, which however emerge at Vocabulary insertion and may show selectional properties. Content and exponence of roots are thus dissociated, in line with the separationist character of Distributed Morphology. This predicts the existence of root - like elements with mixed status, namely open - class exponents used as grammatical morphemes (like auxiliaries or classifiers), or category - free root extensions below the innermost category - assigning head (like de- in de-struction).
Type of Material
Conference Publication
Publisher
University of York. Department of Language and Linguistic Science
Copyright (Published Version)
2009, University of York. Department of Language and Linguistic Science
Keywords
Language
English
Status of Item
Peer reviewed
Part of
Alexandra Galani, Daniel Redinger and Norman Yeo (eds.). YPL2 - Issue 10 (May 2009) Special Issue - York-Essex Morphology Meeting (YEMM)
Description
Fifth York-Essex Morphology Meeting (YEMM), 9th February and 10th February 2008, Department of Language and Linguistic
Science, University of York
This item is made available under a Creative Commons License
Owning collection
Views
4170
Last Week
22
22
Last Month
30
30
Acquisition Date
Feb 6, 2023
Feb 6, 2023
Downloads
1730
Last Week
3
3
Last Month
911
911
Acquisition Date
Feb 6, 2023
Feb 6, 2023