Verb-argument Constructions Research Articles

Modelling verb selection within argument structure constructions

ABSTRACTThis article looks into the nature of cognitive associations between verbs and argument structure constructions (ASCs). Existing research has shown that distributional and semantic factors affect speakers' choice of verbs in ASCs. A formal account of this theory has been proposed by Ellis, N. C., O'Donnell, M. B., & Römer, U. [(2014a). The processing of verb–argument constructions is sensitive to form, function, frequency, contingency and prototypicality. Cognitive Linguistics, 25, 55–98. doi:10.1515/cog-2013-0031], who show that the frequency of production of verbs within an ASC can be predicted from joint verb–construction frequency, contingency of verb–construction mapping, and prototypicality of verb meaning. We simulate the verb production task using a computational model of ASC learning, and compare its performance to the available human data. To account for individual variation between speakers and for order of verb preference, we carry out two additional analyses. We then compare a number of prediction models with different variables, and propose a refined account of verb selection within ASCs: overall verb frequency is an additional factor affecting verb selection, while the effects of joint frequency and contingency may be combined rather than independent.

On-line processing of verb-argument constructions

Ellis, O’Donnell, and Römer (2014) used free-association tasks to investigate knowledge of Verb-Argument Constructions (VACs). They demonstrated that English speakers have independent implicit knowledge of (i) verb frequency in the VAC, (ii) VAC-verb contingency, and (iii) verb prototypicality in terms of centrality within the VAC semantic network. They concluded that VAC processing involves rich associations, tuned by verb type and token frequencies and their contingencies of usage, which interface syntax, lexis, and semantics. However, the tasks they used, where respondents had a minute to think of the verbs that fitted in VAC frames like ‘he __ across the….’, ‘it __ of the….’, etc., were quite conscious and explicit. The current experiments therefore investigate the effects of these factors in on-line processing for recognition and naming. Experiment 1 tested the recognition of VAC exemplars from very brief, masked, visual presentations. Recognition threshold was affected by overall verb frequency in the language, by the frequency with which verbs appear in the VAC, and by VAC-verb contingency (ΔPcw). Experiment 2 had participants successively name VAC arguments as quickly as possible: first the VAC and then the preposition. Preposition naming latency was a function of verb frequency in the VAC. We consider the implications for the representation and processing of VACs.

Teaming up and mixing methods: collaborative and cross-disciplinary work in corpus research on phraseology

Inspired by my positive experiences gained as a member of cross-disciplinary research teams, this paper explores the value of collaborative work in corpus linguistics. I discuss selected results from three studies that showcase research on phraseology: a study that attempts to measure formulaic language in first- and second-language writing, a study on attended/unattended this and its patterns in student writing, and a study on speaker knowledge and use of verb–argument constructions. My collaborators on these studies include a psycholinguist, a computational linguist, a cognitive linguist and a genre analysis expert. This paper highlights the ways in which combining research methods from different fields can be beneficial to research outcomes in phraseology, and calls for more collaboration between corpus linguists and scholars from neighbouring disciplines.

Second language verb-argument constructions are sensitive to form, function, frequency, contingency, and prototypicality

We used free association tasks to investigate second language (L2) verb-argument constructions (VACs) and the ways in which their access is sensitive to statistical patterns of usage (verb type-token frequency distribution, VAC-verb contingency, verb-VAC semantic prototypicality). 131 German, 131 Spanish, and 131 Czech advanced L2 learners of English generated the first word that came to mind to fill the V slot in 40 sparse VAC frames such as ‘he __ across the …’, ‘it __ of the …’, etc. For each VAC, we compared these results with corpus analyses of verb selection preferences in 100 million words of usage and with the semantic network structure of the verbs in these VACs. For all language groups, multiple regression analyses predicting the frequencies of verb types generated for each VAC show independent contributions of (i) verb frequency in the VAC, (ii) VAC-verb contingency, and (iii) verb prototypicality in terms of centrality within the VAC semantic network. L2 VAC processing involves rich associations, tuned by verb type and token frequencies and their contingencies of usage, which interface syntax, lexis, and semantics.

Second Language Learner Knowledge of Verb–Argument Constructions: Effects of Language Transfer and Typology

AbstractThis article examines second language (L2) learner knowledge of English verb–argument constructions (VACs), for example, the ‘V against n’ construction. It investigates to what extent constructions underpin L2 learners' linguistic competence, how VAC mental representations in native speakers and learners differ, and whether there are observable effects of the learners' first language. Native speakers of English and advanced learners of 3 different first language backgrounds (Czech, German, Spanish) were asked to generate the first verb that came to mind to fill the gap in 20 sparse VAC frames like “she ____ against the….” The comparison of learner and native speaker verb responses highlights crosslinguistic transfer effects as well as effects of language typology that impact verb semantics (cf. Talmy, 1985). Our findings suggest that learners whose L1 is, like English, satellite‐framed (here Czech and German) produce more target‐like verbs than learners whose L1 is verb‐framed (here Spanish).

Linking learner corpus and experimental data in studying second language learners’ knowledge of verb-argument constructions

Abstract This paper combines data from learner corpora and psycholinguistic experiments in an attempt to find out what advanced learners of English (first language backgrounds German and Spanish) know about a range of common verbargument constructions (VACs), such as the ‘V about n’ construction (e.g. she thinks about chocolate a lot). Learners’ dominant verb-VAC associations are examined based on evidence retrieved from the German and Spanish subcomponents of ICLE and LINDSEI and collected in lexical production tasks in which participants complete VAC frames (e.g. ‘he ___ about the...’) with verbs that may fill the blank (e.g. talked, thought, wondered). The paper compares findings from the different data sets and highlights the value of linking corpus and experimental evidence in studying linguistic phenomena

The processing of verb-argument constructions is sensitive to form, function, frequency, contingency and prototypicality

AbstractWe used free association and verbal fluency tasks to investigate verb-argument constructions (VACs) and the ways in which their processing is sensitive to statistical patterns of usage (verb type-token frequency distribution, VAC-verb contingency, verb-VAC semantic prototypicality). In experiment 1, 285 native speakers of English generated the first word that came to mind to fill the V slot in 40 sparse VAC frames such as `he ____ across the. . . .', `it ____ of the. . . .', etc. In experiment 2, 40 English speakers generated as many verbs that fit each frame as they could think of in a minute. For each VAC, we compared the results from the experiments with corpus analyses of verb selection preferences in 100 million words of usage and with the semantic network structure of the verbs in these VACs. For both experiments, multiple regression analyses predicting the frequencies of verb types generated for each VAC show independent contributions of (i) verb frequency in the VAC, (ii) VAC-verb contingency and (iii) verb prototypicality in terms of centrality within the VAC semantic network. VAC processing involves rich associations, tuned by verb type and token frequencies and their contingencies of usage, which interface syntax, lexis and semantics. We consider the implications for the mental representation of VACs.

Variability, negative evidence, and the acquisition of verb argument constructions

We present a hierarchical Bayesian framework for modeling the acquisition of verb argument constructions. It embodies a domain-general approach to learning higher-level knowledge in the form of inductive constraints (or overhypotheses), and has been used to explain other aspects of language development such as the shape bias in learning object names. Here, we demonstrate that the same model captures several phenomena in the acquisition of verb constructions. Our model, like adults in a series of artificial language learning experiments, makes inferences about the distributional statistics of verbs on several levels of abstraction simultaneously. It also produces the qualitative learning patterns displayed by children over the time course of acquisition. These results suggest that the patterns of generalization observed in both children and adults could emerge from basic assumptions about the nature of learning. They also provide an example of a broad class of computational approaches that can resolve Baker's Paradox.

Constructions and their acquisition

This paper presents a psycholinguistic analysis of constructions and their acquisition. It investigates effects upon naturalistic second language acquisition of type/token distributions in the islands comprising the linguistic form of English verb-argument constructions (VACs: VL verb locative, VOL verb object locative, VOO ditransitive) in the ESF corpus (Perdue, 1993). Goldberg (2006) argued that Zipfian type/token frequency distribution of verbs in natural language might optimize construction learning by providing one very high frequency exemplar that is also prototypical in meaning. Ellis & Ferreira-Junior (2009) confirmed that in the naturalistic L2A of English, VAC verb type/token distribution in the input is Zipfian and learners first acquire the most frequent, prototypical and generic exemplar (e.g. put in VOL, give in VOO, etc.). This paper further illustrates how acquisition is affected by the frequency and frequency distribution of exemplars within each island of the construction (e.g. [Subj V Obj Oblpath/loc]), by their prototypicality, and, using a variety of psychological and corpus linguistic association metrics, by their contingency of form-function mapping.

Construction Learning as a Function of Frequency, Frequency Distribution, and Function

This article considers effects of construction frequency, form, function, and prototypicality on second language acquisition (SLA). It investigates these relationships by focusing on naturalistic SLA in the European Science Foundation corpus (Perdue, 1993) of the English verb–argument constructions (VACs): verb locative (VL), verb object locative (VOL), and ditransitive (VOO). Goldberg (2006) argued that Zipfian type/token frequency distributions (Zipf, 1935) in natural language constructions might optimize learning by providing one very high‐frequency exemplar that is also prototypical in meaning. This article tests and confirms this proposal for naturalistic English as a second language. We show that VAC type/token distribution in the input is Zipfian and that learners first use the most frequent, prototypical, and generic exemplar (e.g., put in the VOL VAC, give in the VOO ditransitive, etc.). Learning is driven by the frequency and frequency distribution of exemplars within constructions and by the match of their meaning to the construction prototype.