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date: 14 April 2021

Abstract and Keywords

This chapter examines the types of data used in constructionist approaches and the parameters along which data types can be classified. It discusses different kinds of quantitative observational/corpus data (frequencies, probabilities, association measures) and their statistical analysis. In addition, it provides a survey of a variety of different experimental data (novel word/construction learning, priming, sorting, etc.). Finally, the chapter discusses computational-linguistic/machine-learning methods as well as new directions for the development of new data and methods in Construction Grammar.

Keywords: judgement data, observational data, experimental data, computational approaches, statistics

Stefan Th. Gries

Stefan Th. Gries is Professor of Linguistics at the University of California, Santa Barbara, as well as Honorary Liebig Professor at the Justus-Liebig-Universität Giessen. Theoretically, he is a cognitively and Construction Grammar oriented linguist in the wider sense of seeking explanations in terms of cognitive processes; methodologically, he is a quantitative corpus linguist at the intersection of corpus, cognitive, computational, and quantitative linguistics. He is founding editor-in-chief of the international peer-reviewed journal Corpus Linguistics and Linguistic Theory, associate editor of Cognitive Linguistics, and on the editorial boards of CogniTextes, Constructions and Frames, Corpora, Language and Cognition, and others.

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