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Stefan Thomas Gries

University of California, Santa Barbara · French and Italian Studies

Active 1988–2025

h-index62
Citations15.5k
Papers33196 last 5y
Funding

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Stefan Thomas Gries is a professor in the Department of Linguistics at the University of California, Santa Barbara. His areas of specialization include quantitative corpus linguistics, statistical and computational linguistics, cognitive linguistics, and first and second language acquisition. He is involved in research that applies quantitative methods to linguistic data, contributing to the understanding of language learning and use through empirical and computational approaches. His work integrates insights from cognitive linguistics and employs statistical techniques to analyze language patterns, advancing the field of applied linguistics and language acquisition studies.

Research topics

  • Linguistics
  • Computer science
  • Natural language processing
  • Artificial intelligence
  • Psychology

Selected publications

  • Statistics for Linguistics with R : A Practical Introduction

    2021-05-10 · 233 citations

    bookOpen access1st authorCorresponding

    This is the third, newly revised and extended edition of this successful book (that has already been translated into three languages). Like the previous editions, it is entirely based on the programming language and environment R and is still thoroughly hands-on (with thousands of lines of heavily annotated code for all computations and plots). However, this edition has been updated based on many workshops/bootcamps taught by the author all over the world for the past few years: This edition has…

  • Statistics for Linguistics with R

    2021-05-06 · 118 citations

    book1st authorCorresponding

    This is the third, newly revised and extended edition of this successful book (that has already been translated into three languages). Like the previous editions, it is entirely based on the programming language and environment R and is still thoroughly hands-on (with thousands of lines of heavily annotated code for all computations and plots). However, this edition has been updated based on many workshops/bootcamps taught by the author all over the world for the past few years: This edition has…

  • Frequency, Dispersion, Association, and Keyness

    Studies in corpus linguistics · 2024-06-19 · 15 citations

    book1st authorCorresponding

    This book is an attempt to revisit the main specifically corpus-linguistic statistics/measures the field has been relying on for decades: frequency, dispersion, association, and keyness. The book first discusses the purpose of these measures and how they have been measured. Then, the book makes three main proposals: First, that many measures of dispersion, association, and keyness are too confounded with frequency and how to 'take frequency out of them' to obtain conceptually cleaner and more in…

  • Corrections to Nelson (2023): <i>DP</i> <sub>norm</sub> and <i>D</i> <sub>KLnorm</sub> are Not Wrong on Pi at All

    Journal of Quantitative Linguistics · 2024-01-02 · 13 citations

    article1st authorCorresponding

    This paper mainly discusses two computational errors in Nelson (2023), which demonstrate that part of his conclusions regarding two dispersion measures are flawed.

  • If Not For-If It Weren’t/Wasn’t For Counterfactual Constructions: A Multivariate Extension of Collostructional Analysis

    Cognitive Semantics · 2024-09-30 · 9 citations

    articleSenior author

    Abstract The present paper investigates if not for - if it weren’t/wasn’t for constructions in American English based on the analysis of more than 2,100 constructions extracted from The Corpus of Contemporary American English ( coca ). In analyzing these constructions, we focus on significant interdependencies between the slots of the protasis (i.e. animacy of the referent of the np ) and apodosis (i.e. semantics of the verb lemma) and how these cross-clausal associations interact with other lin…

Frequent coauthors

  • Stefanie Wulff

    UiT The Arctic University of Norway

    109 shared
  • Anatol Stefanowitsch

    75 shared
  • Martin Hilpert

    University of Neuchâtel

    71 shared
  • Santa Barbara

    University of California, Santa Barbara

    67 shared
  • Susanne Flach

    Catholic University of Eichstätt-Ingolstadt

    66 shared
  • Anna Birmingham

    University of Florida

    66 shared
  • Magali Mccauley

    Baidu (China)

    66 shared
  • Neuchâtel Keller

    University of Florida

    62 shared

Education

  • Ph.D., Department of British and American Studies

    Universität Hamburg

    2000
  • M.A., Department of British and American Studies

    Universität Hamburg

    1998

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