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Choosing an event description: What a PropBank study reveals about the contrast between light verb constructions and counterpart synthetic verbs

Published online by Cambridge University Press:  03 April 2020

CLAIRE BONIAL*
Affiliation:
U.S. Army Research Laboratory
KIMBERLY A. POLLARD*
Affiliation:
U.S. Army Research Laboratory
*
Author’s address: U.S. Army Research Laboratory, Bldg. 205 4E-008D, 2800 Powder Mill Rd., Adelphi, MD20783, USAClaire.n.bonial.civ@mail.mil
Author’s address: U.S. Army Research Laboratory, 12025 Waterfront Dr., Los Angeles, CA90094, USAKimberly.a.pollard.civ@mail.mil
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Abstract

Light verb constructions (LVCs) in English and Romance languages are somewhat unique crosslinguistically because LVCs in these languages tend to have semantically similar synthetic verb counterparts (Zarco 1999): e.g. make an appearance and appear. This runs contrary to assumptions in linguistic theories that two competing forms are rarely maintained in a language unless they serve distinct purposes (e.g. Grice 1975). Why do English LVCs exist alongside counterpart synthetic verbs, especially given that synthetic verbs are arguably the more efficient form (Zipf 1949)? It has been proposed that LVCs serve an aspectual function (Prince 1972, Live 1973, Wierzbicka 1982, Tanabe 1999, Butt & Geuder 2001), as there are telic LVC counterparts (e.g. have a thought) of atelic verbs (e.g. think).  This proposal has been difficult to evaluate without a large-scale resource providing a markup of both LVCs and counterpart verbs. Addressing this gap in resources, the present research describes the development of guidelines for LVC annotation in the English PropBank (Bonial & Palmer 2015). The focus of this article is the subsequent analysis of these annotations, aimed at uncovering corpus evidence of what contexts call for the use of an LVC over a synthetic verb. The corpus study shows that the general function of LVCs is not an aspectual one and provides distributional evidence that the ease and variety with which LVCs can be modified is the general motivating factor for the use of an LVC.

Information

Type
Research Article
Copyright
© U.S. Army Research Lab 2020. This is a work of the U.S. Government and is not subject to copyright protection in the United States
Figure 0

Table 1 Noun relation ArgM types, with number of instances found in LVC annotations.

Figure 1

Table 2 Modifier tags developed for the LVC function corpus study, which reflect modifier types that are often used with nouns, but are either incompatible with verbs or can only be used periphrastically with verbs.

Figure 2

Figure 1 Proportion modified (±95% CI) for each category of LVC. The number of cases in each category is shown in parentheses.

Figure 3

Figure 2 Number of modifiers (mean ±95% CI) associated with LVCs and verb counterparts.

Figure 4

Figure 3 The average number of modifiers, comparing individual LVCs and lexical verb counterparts. Exceptional cases discussed below are shown in caps and the number of each predicate found in the data is shown in parentheses.

Figure 5

Table 3 Number of nominal modifiers developed for LVC corpus study.