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• W2969731941 abstract "Abstract As a usage-based approach to the study language, cognitive linguistics is theoretically well poised to apply quantitative methods to the analysis of corpus and experimental data. In this article, I review the historical circumstances that led to the quantitative turn in cognitive linguistics and give an overview of statistical models used by cognitive linguists, including chi-square test, Fisher test, Binomial test, t-test, ANOVA, correlation, regression, classification and regression trees, naïve discriminative learning, cluster analysis, multi-dimensional scaling, and correspondence analysis. I stress the essential role of introspection in the design and interpretation of linguistic studies, and assess the pros and cons of the quantitative turn. I also make a case for open access science and appropriate archiving of linguistic data." @default.
• W2969731941 created "2019-08-29" @default.
• W2969731941 creator A5090821213 @default.
• W2969731941 date "2019-08-20" @default.
• W2969731941 modified "2023-10-14" @default.
• W2969731941 title "Quantitative perspectives in Cognitive Linguistics" @default.
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• W2969731941 doi "https://doi.org/10.1075/rcl.00024.jan" @default.
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