21.2773, Books: Computational Linguistics/Discipline of Linguistics: Gries
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LINGUIST List: Vol-21-2773. Thu Jul 01 2010. ISSN: 1068 - 4875.
Subject: 21.2773, Books: Computational Linguistics/Discipline of Linguistics: Gries
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Date: 29-Jun-2010
From: Julia Ulrich < julia.ulrich at degruyter.com >
Subject: Statistics for Linguistics with R: Gries
-------------------------Message 1 ----------------------------------
Date: Thu, 01 Jul 2010 16:37:46
From: Julia Ulrich [julia.ulrich at degruyter.com]
Subject: Statistics for Linguistics with R: Gries
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Title: Statistics for Linguistics with R
Subtitle: A Practical Introduction
Series Title: Mouton Textbook
Publication Year: 2010
Publisher: De Gruyter Mouton
http://www.degruyter.com/mouton
Book URL: http://www.degruyter.de/cont/fb/sk/detailEn.cfm?id=IS-9783110205657-1
Author: Stefan T Gries
Electronic: ISBN: 9783110216042 Pages: 335 Price: ---- Comment: Price upon request.
Hardback: ISBN: 9783110205640 Pages: 335 Price: Europe EURO 98.00
Paperback: ISBN: 9783110205657 Pages: 335 Price: Europe EURO 34.95
Abstract:
Now available in Paperback!
This book is an introduction to statistics for linguists using the open source
software R. It is aimed at students and instructors/professors with little or no
statistical background and is written in a non-technical and reader-
friendly/accessible style.
It first introduces in detail the overall logic underlying quantitative studies:
exploration, hypothesis formulation and operationalization, and the notion and
meaning of significance tests. It then introduces some basics of the software
R relevant to statistical data analysis. A chapter on descriptive statistics
explains how summary statistics for frequencies, averages, and correlations
are generated with R and how they are graphically represented best. A
chapter on analytical statistics explains how statistical tests are performed in
R on the basis of many different linguistic case studies: For nearly every
single example, it is explained what the structure of the test looks like, how
hypotheses are formulated, explored, and tested for statistical significance,
how the results are graphically represented, and how one would summarize
them in a paper/article. A chapter on selected multifactorial methods
introduces how more complex research designs can be studied: methods for
the study of multifactorial frequency data, correlations, tests for means, and
binary response data are discussed and exemplified step-by-step. Also, the
exploratory approach of hierarchical cluster analysis is illustrated in detail.
The book comes with many exercises, boxes with short think breaks and
warnings, recommendations for further study, and answer keys as well as a
statistics for linguists newsgroup on the companion website.
The volume is aimed at beginners on every level of linguistic education:
undergraduate students, graduate students, and instructors/professors and
can be used in any research methods and statistics class for linguists. It
presupposes no quantitative/statistical knowledge whatsoever and, unlike
most competing books, begins at step 1 for every method and explains
everything explicitly.
Linguistic Field(s): Computational Linguistics
Discipline of Linguistics
Written In: English (eng)
See this book announcement on our website:
http://linguistlist.org/pubs/books/get-book.cfm?BookID=49126
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Elsevier Ltd
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Langues et Linguistique
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Pacific Linguistics
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SIL International
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St. Jerome Publishing Ltd
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Utrecht institute of Linguistics
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