北京第二外国语学院学报 ›› 2019, Vol. 41 ›› Issue (5): 126-132.DOI: 10.12002/j.bisu.248

• 书评 • 上一篇    

《如何用R作语言学研究:数据探索与统计分析》评介

陈巧云1,江桂英2   

  1. 1. 集美大学外国语学院,361021
    2. 厦门大学外文学院,361005
  • 收稿日期:2018-02-22 出版日期:2019-10-15 发布日期:2020-01-15
  • 作者简介:陈巧云,集美大学外国语学院,361021,研究方向:认知语言学。电子邮箱:chenchen.cqyfj@163.com。|江桂英,厦门大学外文学院教授,博士生导师,361005,研究方向:认知语言学。电子邮箱:gyjiang118@126.com。
  • 基金资助:
    本文为2015年国家社科基金项目“非言语情绪交互与外语课堂教学有效性研究”(项目编号:15BYY082)

A Review on How to Do Linguistics with R: Data Exploration and Statistical Analysis

Qiaoyun Chen1,Guiying Jiang2   

  1. 1. School of Foreign languages, Jimei University, Xiamen 361021, China
    2. School of Foreign Languages and Cultures, Xiamen University, Xiamen 361005, China
  • Received:2018-02-22 Online:2019-10-15 Published:2020-01-15

摘要:

在语言学研究定量转向趋势日益显著的背景下,《如何用R作语言学研究:数据挖掘与统计分析》一书的推出受到广泛关注和好评。该著作以R环境为操作平台,通过实例为语言学研究梳理了一系列数据挖掘和统计分析的方法。本书用平实易懂的语言,循序渐进地引介了各类研究方法,是一本为语言研究者量身打造的方法论工具书。本文对该书进行评介,简述书中四个主要组成部分的内容,评价该书的学术贡献并指出其不足之处,以期为国内的语言学研究提供方法论支持,推动和促进语言学领域实现更进一步的定量转向。

关键词: 语言学方法论; 定量研究方法; 多元分析; R语言

Abstract:

Under the background of increasingly prominent quantitative turn in linguistic studies, the introduction of How to Do Linguistics with R: Data Exploration and Statistical Analysis has been widely concerned and praised. Taking R environment as the operation platform, this book presents through examples a series of methods of data exploration and statistical analysis for linguistic investigations, ranging from descriptive statistics through regression analysis to multidimensional scaling. Techniques of data visualization have been given much emphasis throughout the book and corresponding R scripts are provided. Another notable characteristic is that the introduction of the methods centers on solving intriguing linguistic problems. As a methodology reference book tailored for language researchers, it consists of four major parts that guide readers, in a step-by-step manner, through a variety of statistical methods and insightful analyses. Written in plain and friendly language, this book is particularly useful for linguists, whether they are experienced or inexperienced in statistical computing. It is also a valuable pedagogical resource for quantitative linguistics. This paper reviews the book by summarizing the contents of its four main parts, discussing its contributions and pointing out the limitations, with an aim to provide methodological support for domestic linguistic studies and promote the trend of quantitative turn.

Keywords: linguistic methodology; quantitative research methods; multivariate analysis; R-language

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