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Corpus linguistics and statistics with R [electronic resource] : introduction to quantitative methods in linguistics
000 | 00000cam u2200205 a 4500 | |
001 | 000045989382 | |
005 | 20190710172403 | |
006 | m d | |
007 | cr | |
008 | 190708s2017 sz a ob 001 0 eng d | |
020 | ▼a 9783319645704 | |
020 | ▼a 9783319645728 (e-book) | |
040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
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) |
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 |
컨텐츠정보
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.