How Much Overt Agreement is Needed for Polysynthesis? Quantitative Evidence from Cherokee

Loading...
Thumbnail Image
Penn collection
School of Arts & Sciences::Department of Linguistics::University of Pennsylvania Working Papers in Linguistics
Degree type
Discipline
Linguistics
Subject
Linguistics
Funder
Grant number
Copyright date
2025
Distributor
Related resources
Author
Humphreys, Erin
Hsu, Brian
Contributor
Abstract

Polysynthetic languages typically show two defining properties: the systematic morphological marking of arguments through verbal morphology and highly flexible clausal word order. In an influential generative account of this generalization, the second property emerges as a consequence of the first (Jelinek 1984, Baker 1996): non-pronominal NPs are structurally represented in dislocated and/or adjoined positions, as licensed by each expressed argument (i.e. polypersonal agreement), via inflectional affixes or noun incorporation. A separate question arises about how "rich" such a system of agreement needs to be in order for flexible clausal word order to arise. We examine the interaction of overt agreement and word order in Cherokee (S. Iroquoian), whose system of verbal morphology does not have productive noun incorporation and shows restricted overt agreement with third-person arguments. The language nonetheless shows abstract polypersonal agreement; agreement morphology generally depends on relative properties of multiple arguments in the clause. Using a quantitative analysis of an annotated corpus, we find that whether an NP is overtly coindexed by a pronominal prefix has no effects on its placement in the clause, as consistent with a model in which verbs agree with all arguments in the syntactic representation. This supports the general criteria for morphological visibility in polysynthetic languages posited by Baker (1996, 2006), and suggests that the amount of non-overt agreement tolerated in polysynthetic languages is higher than previously assumed.

Advisor
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Publication date
2025
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
Recommended citation
Collection