Cluster Analysis for Corpus Linguistics

Hermann Moisl

Published by De Gruyter Mouton 2015

Cluster Analysis for Corpus Linguistics

Hermann Moisl

Volume 66 in the series Quantitative Linguistics [QL]

https://doi.org/10.1515/9783110363814

Overview
Contents

About this book

The standard scientific methodology in linguistics is empirical testing of falsifiable hypotheses. As such the process of hypothesis generation is central, and involves formulation of a research question about a domain of interest and statement of a hypothesis relative to it. In corpus linguistics the domain is text, and generation involves abstraction of data from text, data analysis, and formulation of a hypothesis based on inference from the results. Traditionally this process has been paper-based, but the advent of electronic text has increasingly rendered it obsolete both because the size of digital corpora is now at or beyond the limit of what can efficiently be used in the traditional way, and because the complexity of data abstracted from them can be impenetrable to understanding. Linguists are increasingly turning to mathematical and statistical computational methods for help, and cluster analysis is such a method. It is used across the sciences for hypothesis generation by identification of structure in data which are too large or complex, or both, to be interpretable by direct inspection. This book aims to show how cluster analysis can be used for hypothesis generation in corpus linguistics, thereby contributing to a quantitative empirical methodology for the discipline.

Describes a range of clustering methods for analysis of data derived from language corpora.
Gives an intuitively accessible account of the mathematical concepts which underlie data creation, data transformation, and cluster analysis.

Author / Editor information

Hermann Moisl, Newcastle University, Newcastle upon Tyne, UK.

Supplementary Materials

Contents

Topics

Frontmatter Publicly Available Download PDF	I
Preface Requires Authentication Unlicensed Licensed Download PDF	V
Contents Publicly Available Download PDF	VII
List of figures Requires Authentication Unlicensed Licensed Download PDF	IX
1. Introduction Requires Authentication Unlicensed Licensed Download PDF	1
2. Motivation Requires Authentication Unlicensed Licensed Download PDF	7
3. Data Requires Authentication Unlicensed Licensed Download PDF	17
4. Cluster Requires Authentication Unlicensed Licensed Download PDF	153
5. Hypothesis generation Requires Authentication Unlicensed Licensed Download PDF	251
6. Literature Review Requires Authentication Unlicensed Licensed Download PDF	277
7. Conclusion Requires Authentication Unlicensed Licensed Download PDF	301
8. Appendix Requires Authentication Unlicensed Licensed Download PDF	303
References Requires Authentication Unlicensed Licensed Download PDF	311
Subject index Requires Authentication Unlicensed Licensed Download PDF	359

(Deutsch)

Language: English
Publisher: De Gruyter Mouton
Audience: Scholars in corpus linguistics, stylometry, text sciences, and practitioners in text categorisation.
Pages
- Front matter: 15
- Main content: 381
Keywords: Corpus linguistics; cluster analysis; quantitative linguistics; hypothesis generation

eBook

Published: February 24, 2015
ISBN: 9783110363814

Hardcover

Published: January 19, 2015
ISBN: 9783110350258