Stefan Thomas Gries Libri

Cognitive Linguistics, a dynamic field in contemporary linguistics, seeks to align our understanding of language with insights about the mind and brain. This volume explores classic topics such as the semantics of specific words, including polysemy and synonymy, as well as the semantic characteristics of syntactic patterns and constructions. It also delves into the analysis of causatives, transitivity, and image-schematic aspects of posture verbs. A defining feature of this collection is its reliance on Corpus Linguistics, which utilizes computerized analysis of language in authentic contexts. Each contribution offers new insights, data, and corpus-based methods of analysis. The authors discuss theoretical implications that extend beyond individual studies, demonstrating how Cognitive Linguistics can benefit from rigorous analyses of naturally-occurring language. The languages examined include English, German, Dutch, and Russian, drawing from diverse corpora. This volume will attract a wide range of scholars with various interests and aims to foster further integration of usage-based analytical techniques within this vibrant paradigm.

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 been didactically streamlined with regard to its exposition, it adds two new chapters - one on mixed-effects modeling, one on classification and regression trees as well as random forests - plus it features new discussion of curvature, orthogonal and other contrasts, interactions, collinearity, the effects and emmeans packages, autocorrelation/runs, some more bits on programming, writing statistical functions, and simulations, and many practical tips based on 10 years of teaching with these materials.

This revised and extended second edition serves as an introduction to statistics for linguists using the open-source software R, targeting students and instructors with minimal statistical background. Written in a non-technical, accessible style, it begins by detailing the overall logic of quantitative studies, including exploration, hypothesis formulation, and significance tests. The book introduces essential R software basics for statistical data analysis. A chapter on descriptive statistics covers generating summary statistics for frequencies, averages, and correlations, along with effective graphical representations. Analytical statistics are explored through various linguistic case studies, detailing the structure of tests, hypothesis formulation, significance testing, and result summarization. A chapter on multifactorial methods discusses complex research designs, including multifactorial frequency data, correlations, and tests for means, with step-by-step examples. Hierarchical cluster analysis is also illustrated. The book includes exercises, think breaks, recommendations for further study, and answer keys, alongside a dedicated newsgroup on the companion website. The comprehensive revision features new programming topics, additional statistical functions, updated sections on statistical tests and regression modeling, a complete rewrite of multifactorial approaches, and a new visual tool for selecting appropriate stati

The volume contains a collection of studies on how the analysis of corpus and psycholinguistic data reveal how linguistic knowledge is affected by the frequency of linguistic elements/stimuli. The studies explore a wide range of phenomena , from phonological reduction processes and palatalization to morphological productivity, diachronic change, adjective preposition constructions, auxiliary omission, and multi-word units. The languages studied are Spanish and artificial languages, Russian, Dutch, and English. The sister volume focuses on language representation.

Das vorliegende Werk führt – anhand von Sprachdaten – systematisch zunächst in die Methoden der Datensammlung und in Grundlagen und Anwendungsbereiche der quantitativen Linguistik ein. Anschließend versetzt es den Leser Schritt für Schritt in die Lage, eigenständig die erhobenen Daten zu visualisieren und diese fachkundig auf der Basis der deskriptiven (beschreibenden) und induktiven (schließenden) Statistik rechnergestützt auszuwerten und zu interpretieren. Anfängergerecht führt der Autor dabei parallel in das leistungsstarke, kostenlos im Internet verfügbare Statistikprogramm »R« ein, ohne jedoch auf Hinweise / Screenshots bzgl. der kostenpflichtigen, an Universitäten häufig eingesetzten Software »SPSS« zu verzichten. Das Lehrwerk versteht sich als anwendungsorientiert: Es ist dabei systematisch und daher gerade für Anfänger (auch ohne weitreichende mathematische Kenntnisse) gut verständlich, ohne jedoch für den Fortgeschrittenen auf wissenschaftliche Präzision, komplexere Verfahren und Tiefe durch Zusatzinformationen zu verzichten. Die einzelnen Kapitel des Buches schließen jeweils mit Aufgaben und Lösungen.