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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

자료유형
E-Book(소장)
개인저자
Desagulier, Guillaume.
서명 / 저자사항
Corpus linguistics and statistics with R [electronic resource] : introduction to quantitative methods in linguistics / Guillaume Desagulier.
발행사항
Cham :   Springer,   c2017.  
형태사항
1 online resource (xiii, 353 p.) : ill.
총서사항
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.
일반주기
Title from e-Book title page.  
내용주기
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.
서지주기
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Corpora (Linguistics). R (Computer program language).
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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)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 410.188 등록번호 E14014924 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

컨텐츠정보

저자소개

Guillaume Desagulier(지은이)

정보제공 : Aladin

목차

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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