國立高雄大學圖資館 |

Language: English

Back

Corpus linguistics and statistics wi...

Desagulier, Guillaume.

Corpus linguistics and statistics with Rintroduction to quantitative methods in linguistics /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Corpus linguistics and statistics with Rby Guillaume Desagulier.
Reminder of title:	introduction to quantitative methods in linguistics /
Author:	Desagulier, Guillaume.
Published:	Cham :Springer International Publishing :2017.
Description:	xiii, 353 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Corpora (Linguistics)
Online resource:	http://dx.doi.org/10.1007/978-3-319-64572-8
ISBN:	9783319645728$q(electronic bk.)

Corpus linguistics and statistics with Rintroduction to quantitative methods in linguistics /
Desagulier, Guillaume.

Corpus linguistics and statistics with Rintroduction to quantitative methods in linguistics /[electronic resource] :by Guillaume Desagulier. - Cham :Springer International Publishing :2017. - xiii, 353 p. :ill., digital ;24 cm. - Quantitative methods in the humanities and social sciences,2199-0956. - Quantitative methods in the humanities and social sciences..

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.

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.

ISBN: 9783319645728$q(electronic bk.)

Standard No.: 10.1007/978-3-319-64572-8doiSubjects--Topical Terms:

294467
Corpora (Linguistics)

LC Class. No.: P128.C68

Dewey Class. No.: 410.188

Corpus linguistics and statistics with Rintroduction to quantitative methods in linguistics /
LDR:02703nmm a2200325 a 4500 001 525296
003 DE-He213
005 20180523110121.0
006 m d
007 cr nn 008maaau
008 180904s2017 gw s 0 eng d
020 $a 9783319645728$q(electronic bk.)
020 $a 9783319645704$q(paper)
024 7 $a 10.1007/978-3-319-64572-8 $2 doi
035 $a 978-3-319-64572-8
040 $a GP $c GP
041 0 $a eng
050 4 $a P128.C68
072 7 $a UFM $2 bicssc
072 7 $a COM077000 $2 bisacsh
082 0 4 $a 410.188 $2 23
090 $a P128.C68 $b D441 2017
100 1 $a Desagulier, Guillaume. $3 797574
245 1 0 $a Corpus linguistics and statistics with R $h [electronic resource] : $b introduction to quantitative methods in linguistics / $c by Guillaume Desagulier.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xiii, 353 p. : $b ill., digital ; $c 24 cm.
490 1 $a Quantitative methods in the humanities and social sciences, $x 2199-0956
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.
650 0 $a Corpora (Linguistics) $3 294467
650 0 $a R (Computer program language) $3 210846
650 1 4 $a Statistics. $3 182057
650 2 4 $a Statistics and Computing/Statistics Programs. $3 275710
650 2 4 $a Grammar. $3 275645
650 2 4 $a Computational Linguistics. $3 274669
650 2 4 $a Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. $3 274394
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Quantitative methods in the humanities and social sciences. $3 683273
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-64572-8
950 $a Mathematics and Statistics (Springer-11649)