MARC details
000 -LEADER |
fixed length control field |
02534nam a22002535i 4500 |
001 - CONTROL NUMBER |
control field |
138414 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
ISI Library, Kolkata |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20190425124617.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
170727s2017 nyu 000 0 eng |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783319645704 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
ISI Library |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
410.188 |
Edition number |
23 |
Item number |
D441 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Desagulier, Guillaume, |
Relator term |
author |
245 10 - TITLE STATEMENT |
Title |
Corpus linguistics and statistics with R : |
Remainder of title |
introduction to quantitative methods in linguistics / |
Statement of responsibility, etc |
Guillaume Desagulier. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Cham : |
Name of publisher, distributor, etc |
Springer, |
Date of publication, distribution, etc |
2017. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xiii, 353 pages : |
Other physical details |
illustrations (some color) ; |
Dimensions |
27 cm. |
490 0# - SERIES STATEMENT |
Series statement |
Quantitative methods in the humanities and social sciences |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references and index. |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
1. Introduction.-<br/>2. R Fundamentals.- <br/>3. Digital Corpora.- <br/>4. Processing and Manipulating Character Strings.- <br/>5. Applied Character String Processing.- <br/>6. Summary Graphics for Frequency Data.- <br/>7. Descriptive Statistics.- <br/>8. Notions of Statistical Testing.- <br/>9. Association and Productivity.- <br/>10. Clustering Methods. |
520 ## - SUMMARY, ETC. |
Summary, etc |
This book 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 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Corpora (Linguistics) |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
R (Computer program language) |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Books |