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Investigating nominative object constructions in Korean: An experimental and corpus study

Published online by Cambridge University Press:  31 March 2026

Juyeon Cho*
Affiliation:
English Language and Literature, Yonsei University , Seoul, Korea
Rebecca Tollan
Affiliation:
Linguistics and Cognitive Science, University of Delaware , United States
*
Corresponding author: Juyeon Cho; Email: juyeoncho@yonsei.ac.kr
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Abstract

Cross-linguistically, the existence of ‘double case’ configurations (e.g., nom-subject and nom-object) presents an empirical challenge to theories of case where anti-identity, or distinctness between two NPs, plays a key role (e.g., Yip, Maling & Jackendoff 1987). This study investigates the factors that influence the distribution of nominative object constructions in Korean. In a novel acceptability judgment experiment, we find that sentences with nom-objects are rated less acceptable than those with acc-objects. In a corpus survey, sentences with nom-objects commonly have topic-marked subjects. We propose the Morphological-Thematic-Grammatical (MTG) Alignment Hypothesis, which posits that sentences are maximally acceptable when there is maximal alignment between morphological case marking, thematic role, and grammatical function. In nom-acc constructions, this alignment is achieved because the highest-ranked subject (Keenan & Comrie 1977) is marked with highest-ranked nominative case (Otsuka 2006) and functions as a higher-ranked agent or experiencer. The lower-ranked object, meanwhile, has lower-ranked accusative case and functions as a lower-ranked patient. In contrast, nom-nom (and dat-nom) constructions fail to achieve this alignment. Our analysis treats the relevant constraints (e.g., distinctness, alignment) as interacting with each other to produce cumulative effects on acceptability.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Table 1. A sample set of target items

Figure 1

Figure 1. Mean ratings for each level of casenom-acc, nom-nom, and dat-nom – for each level of light verb (light verb in plain bars; no light verb in patterned bars). Error bars indicate 95% confidence intervals.

Figure 2

Table 2. The 2 × 3 mixed-effects cumulative link regression model (top part), along with the effect of Light Verb at each level of Case (bottom part). Significant effects are bolded.

Figure 3

Table 3. Counts of sentences with top, nom, and dat subjects, and top, nom, and acc objects, along with proportion of object marking by subject marking (in parentheses). The first of our chi-square analyses (as detailed below) was performed on the raw counts in the bolded square.

Figure 4

Table 4. Counts of sentences with top and non-top subjects with nom and acc objects, along with proportion of subject marking by object marking (in parentheses). The chi-square analysis was performed on the raw counts in the bolded square.