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Multifactorial Analysis in Corpus Linguistics
This book presents a new analysis of the word-order alternation of English transitive phrasal verbs (aka Particle Movement) from a cognitive-functional and psycholinguistic perspective. Its main objective, however, is a methodological one, namely to demonstrate the superiority of corpus-based, multifactorial and probabilistic approaches towards grammatical phenomena over traditional analyses based on acceptability judgements and minimal pair tests.
Statistics for Linguistics with R
This book is an introduction to statistics for linguists using the open source software R. It is aimed at students and instructors/professors with little or no statistical background and is written in a non-technical and reader-friendly/accessible style. It first introduces in detail the overall logic underlying quantitative studies: exploration, hypothesis formulation and operationalization, and the notion and meaning of significance tests. It then introduces some basics of the software R relevant to statistical data analysis. A chapter on descriptive statistics explains how summary statistics for frequencies, averages, and correlations are generated with R and how they are graphically repr...
Corpus-linguistic applications
This volume provides an overview of four currently booming areas in the discipline of corpus linguistics. The first section is concerned with studies of the history and development of morphological and syntactic phenomena in English, Spanish, and Mandarin Chinese. The second section contains case studies investigating the functions and contexts of use of different morphological and syntactic forms in English, Spanish, Russian, and Mandarin Chinese. The third section contains studies in the field of genre and register from settings as diverse as health, call center, academic, and legal discourse. The final section features papers refining existing, and exploring new, corpus-linguistic methods: dispersions, text mining, corpus similarity, as well as the development of extraction patterns and the evaluation of tagging methods.
Corpora in Cognitive Linguistics
Cognitive Linguistics, the branch of linguistics that tries to "make one's account of human language accord with what is generally known about the mind and the brain," has become one of the most flourishing fields of contemporary linguistics. The chapters address many classic topics of Cognitive Linguistics. These topics include studies on the semantics of specific words (including polysemy and synonymy) as well as semantic characteristics of particular syntactic patterns / constructions (including constructional synonymy and the schematicity of constructions), the analysis of causatives, transitivity, and image-schematic aspects of posture verbs. The key characteristic of this volume is tha...
Corpus-Based Approaches to Metaphor and Metonymy
The papers in this volume deal with the issue of how corpus data relate to the questions that cognitive linguists have typically investigated with respect to conceptual mappings. The authors in this volume investigate a wide range of issues - the coherence and function of particular metaphorical models, the interaction of form and meaning, the identification of source domains of metaphorical expressions, the relationship between metaphor and discourse, the priming of metaphors, and the historical development of metaphors. The studies deal with a variety of metaphorical and metonymic source and target domains, including the source domains SPACE, ANIMALS, BODY PARTS, ORGANIZATIONS and WAR, and...
Frequency Effects in Language Learning and Processing
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.
Cognitive Linguistics
Cognitive Linguistics is not a unified theory of language but rather a set of flexible and mutually compatible theoretical frameworks. This volume is of interest to scholars and students wishing to inform themselves about the state and possible future developments of Cognitive Linguistics
Ten Lectures on Corpus Linguistics with R
In this book, Stefan Th. Gries provides an overview on how quantitative corpus methods can provide insights to cognitive/usage-based linguistics and selected psycholinguistic questions. Topics include the corpus linguistics in general, its most important methodological tools, its statistical nature, and the relation of all these topics to past and current usage-based theorizing. Central notions discussed in detail include frequency, dispersion, context, and others in a variety of applications and case studies; four practice sessions offer short introductions of how to compute various corpus statistics with the open source programming language and environment R.
Quantitative Corpus Linguistics with R
The first textbook of its kind, Quantitative Corpus Linguistics with R demonstrates how to use the open source programming language R for corpus linguistic analyses. Computational and corpus linguists doing corpus work will find that R provides an enormous range of functions that currently require several programs to achieve – searching and processing corpora, arranging and outputting the results of corpus searches, statistical evaluation, and graphing.
A Practical Handbook of Corpus Linguistics
This handbook is a comprehensive practical resource on corpus linguistics. It features a range of basic and advanced approaches, methods and techniques in corpus linguistics, from corpus compilation principles to quantitative data analyses. The Handbook is organized in six Parts. Parts I to III feature chapters that discuss key issues and the know-how related to various topics around corpus design, methods and corpus types. Parts IV-V aim to offer a user-friendly introduction to the quantitative analysis of corpus data: for each statistical technique discussed, chapters provide a practical guide with R and come with supplementary online material. Part VI focuses on how to write a corpus linguistic paper and how to meta-analyze corpus linguistic research. The volume can serve as a course book as well as for individual study. It will be an essential reading for students of corpus linguistics as well as experienced researchers who want to expand their knowledge of the field.
