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Regular version of the site
Book
The Oxford Handbook of the Languages of the Caucasus
In press

Edited by: M. Polinsky.

Oxford: Oxford University Press, 2019.

Article
Goal realization: An empirically based comparison between English, German and Greek

Георгакопулос А., Härtl H., Sioupi A.

Languages in Contrast. 2019. Vol. 19. No. 2. P. 280-309.

Book chapter
Head-dependent marking
In press

Lander Yu., Nichols J.

In bk.: Oxford Research Encyclopedia of Linguistics. Oxford: Oxford University Press, 2019.

Lecture 'The Use of Statistics in Cognitive Linguistics' by Laura Janda

On May 13 a lecture 'The Use of Statistics in Cognitive Linguistics' by  Laura Janda (the University of Tromsø, Norway) took place at HSE. The event was organized by the School of Linguistics.

Lecture 'The Use of Statistics in Cognitive Linguistics' by Laura Janda

Abstract

This talk is based on my introduction to the 2013 The Quantitative Turn in Cognitive Linguistics book. Both the field of cognitive linguistics as a whole and the journal Cognitive Linguistics have taken a quantitative turn in recent years. The majority of conference presentations, articles, and books in our field now involve some kind of quantitative analysis of language data, and results are often measured using statistical methods. This does not mean that other types of contributions (theoretical, introspective) are in any way less welcome in cognitive linguistics, but the quantitative turn in our field is now a fact to be reckoned with.

This book presents some of the people and the statistical methods that have played a leading role in defining the current state of the art in cognitive linguistics, focusing specifically on researchers and methods that have appeared prominently in our journal in the past five years. The ten articles gathered here showcase recent achievements of the following individuals (plus coauthors) who have made quantitative contributions repeatedly in the pages of Cognitive Linguistics: Ewa Dąbrowska, Holger Diessel, Dirk Geeraerts, Raymond W. Gibbs, Adele E. Goldberg, Stefan Th. Gries, Beate Hampe, Laura A. Janda, Elena V. M. Lieven, Caroline Rowland, Anatol Stefanowitsch, Anna L. Theakston, Michael Tomasello. Collectively these researchers have done much to shape contemporary practice in statistical analysis in cognitive linguistics, addressing issues at all levels of language, including phonology, morphology, syntax, semantics, acquisition, sociolinguistics, etc. ...

The methods represent those that have proven useful and versatile in linguistic analysis: chi-square, Fisher test, binomial test, ANOVA, correlation, regression, and cluster analysis. Each of these methods, with their advantages and limitations, will be discussed in turn and illustrated by highlights from the articles in this collection. Additional methods that are gaining popularity and may become part of standard use are also presented in that section, and suggestions are made for best practices in the management and sharing of data and statistical code.

Based on a study of articles published in Cognitive Linguistics, the time period 2008-2012 emerges as a noticeably different era in our history. As described in section 2, the year 2008 marks the quantitative turn for our journal, and the past five years have been substantially different from the two decades that preceded them. It seems unlikely now that we will ever turn back, so this is an appropriate time to take stock of the situation, how it came about, and what it means for our future.

Video of the lecture (Youtube)