| 书目名称 | Corpus Linguistics and Statistics with R |
| 副标题 | Introduction to Quan |
| 编辑 | Guillaume Desagulier |
| 视频video | |
| 概述 | Accessible introduction to quantitative methods for linguistics with emphasis on learning the methods and then applying them with R.Includes downloadable supplementary materials for readers.Suitable f |
| 丛书名称 | Quantitative Methods in the Humanities and Social Sciences |
| 图书封面 |  |
| 描述 | 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 |
| 出版日期 | Textbook 2017 |
| 关键词 | R package linguistics; categorical data; clustering methods; data organization; frequency data; linguisti |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-64572-8 |
| isbn_softcover | 978-3-319-87823-2 |
| isbn_ebook | 978-3-319-64572-8Series ISSN 2199-0956 Series E-ISSN 2199-0964 |
| issn_series | 2199-0956 |
| copyright | Springer International Publishing AG 2017 |
发表于 2025-3-21 16:28:28
