Corpus Linguistics and Statistics with R: Introduction to Quantitative Methods in Linguistics (Quantitative Methods in the Humanities and Social Sciences)
暫譯: 語料語言學與R的統計:語言學定量方法入門(人文與社會科學的定量方法)
Guillaume Desagulier
- 出版商: Springer
- 出版日期: 2017-12-07
- 售價: $6,340
- 貴賓價: 9.5 折 $6,023
- 語言: 英文
- 頁數: 353
- 裝訂: Hardcover
- ISBN: 3319645706
- ISBN-13: 9783319645704
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相關分類:
R 語言、機率統計學 Probability-and-statistics
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商品描述
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 sets, R code, and exercises for use by readers. This book may be used in advanced undergraduate courses, graduate courses, and self-study.
商品描述(中文翻譯)
本教科書從理論語言學家的角度探討實證語言學。它提供了對定量語料庫語言學所涉及的理論討論,以及詳細的實作步驟說明,以便在該領域中實施這些技術。本書中的統計方法論和基於 R 的程式碼教導讀者基本技能,然後是更高級的技能,以便在語言學研究和學習中處理大型數據集。如今,大型數據集比以往任何時候都更是從基於使用的語言學到應用語言學各個領域工作的基礎。本書以語料庫為基礎的方法論為主。然而,本書中的語料庫方法也是社會語言學、歷史語言學、計算語言學和心理語言學最近發展的重要組成部分。本書的材料對數位人文學科的研究者以及許多使用文本數據分析和基於文本的感測計量的非語言學領域的研究者也具有吸引力。各章節涵蓋的主題包括語料庫處理、頻率數據和聚類方法。案例研究用附帶的數據集、R 程式碼和供讀者使用的練習來說明每一章。本書可用於高級本科課程、研究生課程和自學。