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As in its first edition, the new edition of Quantitative Corpus
Linguistics with R demonstrates how to process corpus-linguistic
data with the open-source programming language and environment R.
Geared in general towards linguists working with observational
data, and particularly corpus linguists, it introduces R
programming with emphasis on: data processing and manipulation in
general; text processing with and without regular expressions of
large bodies of textual and/or literary data, and; basic aspects of
statistical analysis and visualization. This book is extremely
hands-on and leads the reader through dozens of small applications
as well as larger case studies. Along with an array of exercise
boxes and separate answer keys, the text features a didactic
sequential approach in case studies by way of subsections that zoom
in to every programming problem. The companion website to the book
contains all relevant R code (amounting to approximately 7,000
lines of heavily commented code), most of the data sets as well as
pointers to others, and a dedicated Google newsgroup. This new
edition is ideal for both researchers in corpus linguistics and
instructors who want to promote hands-on approaches to data in
corpus linguistics courses.
As in its first edition, the new edition of Quantitative Corpus
Linguistics with R demonstrates how to process corpus-linguistic
data with the open-source programming language and environment R.
Geared in general towards linguists working with observational
data, and particularly corpus linguists, it introduces R
programming with emphasis on: data processing and manipulation in
general; text processing with and without regular expressions of
large bodies of textual and/or literary data, and; basic aspects of
statistical analysis and visualization. This book is extremely
hands-on and leads the reader through dozens of small applications
as well as larger case studies. Along with an array of exercise
boxes and separate answer keys, the text features a didactic
sequential approach in case studies by way of subsections that zoom
in to every programming problem. The companion website to the book
contains all relevant R code (amounting to approximately 7,000
lines of heavily commented code), most of the data sets as well as
pointers to others, and a dedicated Google newsgroup. This new
edition is ideal for both researchers in corpus linguistics and
instructors who want to promote hands-on approaches to data in
corpus linguistics courses.
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.
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.
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.
The volume explores the relationship between well-studied aspects
of language (constructional alternations, lexical contrasts and
extensions and multi-word expressions) in a variety of languages
(Dutch, English, Russian and Spanish) and their representation in
cognition as mediated by frequency counts in both text and
experiment. The state-of-the-art data collection (ranging from
questionnaires to eye-tracking) and analysis (from simple
chi-squared to random effects regression) techniques allow to draw
theoretical conclusions from (mis)matches between different types
of empirical data. The sister volume focuses on language learning
and processing.
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
represented best. A chapter on analytical statistics explains how
statistical tests are performed in R on the basis of many different
linguistic case studies: For nearly every single example, it is
explained what the structure of the test looks like, how hypotheses
are formulated, explored, and tested for statistical significance,
how the results are graphically represented, and how one would
summarize them in a paper/article. A chapter on selected
multifactorial methods introduces how more complex research designs
can be studied: methods for the study of multifactorial frequency
data, correlations, tests for means, and binary response data are
discussed and exemplified step-by-step. Also, the exploratory
approach of hierarchical cluster analysis is illustrated in detail.
The book comes with many exercises, boxes with short think breaks
and warnings, recommendations for further study, and answer keys as
well as a statistics for linguists newsgroup on the companion
website. The volume is aimed at beginners on every level of
linguistic education: undergraduate students, graduate students,
and instructors/professors and can be used in any research methods
and statistics class for linguists. It presupposes no
quantitative/statistical knowledge whatsoever and, unlike most
competing books, begins at step 1 for every method and explains
everything explicitly.
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 the target domains
VERBAL ACTIVITY, ECONOMY, EMOTIONS and POLITICS. In their studies,
the authors present a variety of corpus-linguistic methods for the
investigation of conceptual mappings, for example, corpora
annotated for semantic categories, concordances of individual
source-domain items and patterns, and concordances of target-domain
items. In sum, the papers in this volume show how a wide range of
corpus-linguistic methods can be used to investigate a variety of
issues in cognitive linguistics; the combination of corpus methods
with a cognitive-linguistic view of metaphor and metonymy yields
new answers to old questions (and to new questions) about the
relationship between language as a conceptual phenomenon and
language as a textual phenomenon.
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 that all
papers adopt the methodological perspective of Corpus Linguistics,
the rapidly evolving branch of linguistics based on the
computerized analysis of language used in authentic settings. Thus,
the contributionsdo not only all provide various new insights in
their respective fields, they also introduce new data as well as
new corpus-based and quantitative methods of analysis. On the basis
of their findings, the authors discuss both theoretical
implications going well beyond the singular topics of the studies
and show how the discipline of Cognitive Linguistics can benefit
from the rigorous analysis of naturally-occurring language. The
languages which are investigated are English, German, Dutch, and
Russian, and the data come from a variety of different corpora. As
such, the present volumewill be of interest to a wide range of
scholars with many different foci and interests and should pave the
way for further integration of usage-based techniques of analysis
within this exciting paradigm.
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