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Corpus linguistics and statistics with R [electronic resource] : introduction to quantitative methods in linguistics

Corpus linguistics and statistics with R [electronic resource] : introduction to quantitative methods in linguistics

Material type
E-Book(소장)
Personal Author
Desagulier, Guillaume.
Title Statement
Corpus linguistics and statistics with R [electronic resource] : introduction to quantitative methods in linguistics / Guillaume Desagulier.
Publication, Distribution, etc
Cham :   Springer,   c2017.  
Physical Medium
1 online resource (xiii, 353 p.) : ill.
Series Statement
Quantitative Methods in the Humanities and Social Sciences,2199-0956
ISBN
9783319645704 9783319645728 (e-book)
요약
This textbook examines empirical linguistics from a theoretical linguist’s perspective. It provides both a theoretical discussion of what quantitative corpus linguistics entails and detailed, hands-on, step-by-step instructions to implement the techniques in the field. The statistical methodology and R-based coding from this book teach readers the basic and then more advanced skills to work with large data sets in their linguistics research and studies. Massive data sets are now more than ever the basis for work that ranges from usage-based linguistics to the far reaches of applied linguistics. This book presents much of the methodology in a corpus-based approach. However, the corpus-based methods in this book are also essential components of recent developments in sociolinguistics, historical linguistics, computational linguistics, and psycholinguistics. Material from the book will also be appealing to researchers in digital humanities and the many non-linguistic fields that use textual data analysis and text-based sensorimetrics. Chapters cover topics including corpus processing, frequencing data, and clustering methods. Case studies illustrate each chapter with accompanying data sets, R code, and exercises for use by readers. This book may be used in advanced undergraduate courses, graduate courses, and self-study.
General Note
Title from e-Book title page.  
Content Notes
Introduction.- R Fundamentals -- Digital Corpora -- Processing and Manipulating Character Strings -- Applied Character String Processing -- Summary Graphics for Frequency Data -- Descriptive Statistics -- Notions of Statistical Testing -- Association and Productivity -- Clustering Methods.
Bibliography, Etc. Note
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Corpora (Linguistics). R (Computer program language).
Short cut
URL
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020 ▼a 9783319645704
020 ▼a 9783319645728 (e-book)
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050 4 ▼a P128.C68
082 0 4 ▼a 410.1/88 ▼2 23
084 ▼a 410.188 ▼2 DDCK
090 ▼a 410.188
100 1 ▼a Desagulier, Guillaume.
245 1 0 ▼a Corpus linguistics and statistics with R ▼h [electronic resource] : ▼b introduction to quantitative methods in linguistics / ▼c Guillaume Desagulier.
260 ▼a Cham : ▼b Springer, ▼c c2017.
300 ▼a 1 online resource (xiii, 353 p.) : ▼b ill.
490 1 ▼a Quantitative Methods in the Humanities and Social Sciences, ▼x 2199-0956
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a Introduction.- R Fundamentals -- Digital Corpora -- Processing and Manipulating Character Strings -- Applied Character String Processing -- Summary Graphics for Frequency Data -- Descriptive Statistics -- Notions of Statistical Testing -- Association and Productivity -- Clustering Methods.
520 ▼a This textbook examines empirical linguistics from a theoretical linguist’s perspective. It provides both a theoretical discussion of what quantitative corpus linguistics entails and detailed, hands-on, step-by-step instructions to implement the techniques in the field. The statistical methodology and R-based coding from this book teach readers the basic and then more advanced skills to work with large data sets in their linguistics research and studies. Massive data sets are now more than ever the basis for work that ranges from usage-based linguistics to the far reaches of applied linguistics. This book presents much of the methodology in a corpus-based approach. However, the corpus-based methods in this book are also essential components of recent developments in sociolinguistics, historical linguistics, computational linguistics, and psycholinguistics. Material from the book will also be appealing to researchers in digital humanities and the many non-linguistic fields that use textual data analysis and text-based sensorimetrics. Chapters cover topics including corpus processing, frequencing data, and clustering methods. Case studies illustrate each chapter with accompanying data sets, R code, and exercises for use by readers. This book may be used in advanced undergraduate courses, graduate courses, and self-study.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Corpora (Linguistics).
650 0 ▼a R (Computer program language).
830 0 ▼a Quantitative Methods in the Humanities and Social Sciences.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=https://doi.org/10.1007/978-3-319-64572-8
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 410.188 Accession No. E14014924 Availability Loan can not(reference room) Due Date Make a Reservation Service M

Contents information

Table of Contents

Introduction.- R Fundamentals
Digital Corpora
Processing and Manipulating Character Strings
Applied Character String Processing
Summary Graphics for Frequency Data
Descriptive Statistics
Notions of Statistical Testing
Association and Productivity
Clustering Methods.

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