Logo

Analyzing Linguistic Data: A Practical Introduction to Statistics

Large book cover: Analyzing Linguistic Data: A Practical Introduction to Statistics

Analyzing Linguistic Data: A Practical Introduction to Statistics
by

Publisher: Cambridge University Press
ISBN/ASIN: B001ELJW58
Number of pages: 400

Description:
This book provides an introduction to the statistical analysis of quantitative data for researchers studying aspects of language and language processing. Designed for linguists with a non-mathematical background, it clearly introduces the basic principles and methods of statistical analysis, using 'R', the leading computational statistics programme.

Home page url

Download or read it online for free here:
Download link
(5.1MB, PDF)

Similar books

Book cover: Economics and LanguageEconomics and Language
by - Cambridge University Press
Five essays investigating both the economics of language and the language of economics. The author touches on the structure of binary relations in daily language, the evolutionary development of the meaning of words, and more.
(12823 views)
Book cover: Languages from the World of the BibleLanguages from the World of the Bible
by - De Gruyter Open
The alphabetic script unites a number of civilizations in ancient Syria-Palestine, which together constitute the background of the Hebrew Bible and the New Testament. This work presents overviews of the relevant languages and their interaction.
(2688 views)
Book cover: English Synonyms and AntonymsEnglish Synonyms and Antonyms
by - ManyBooks
Practical and invaluable guide to clear and precise diction for writers, speakers, students, business and professional men. With notes on the correct use of prepositions; designed as a companion for the study and as a textbook for the use of schools.
(29503 views)
Book cover: Introduction to Probability Theory and Statistics for LinguisticsIntroduction to Probability Theory and Statistics for Linguistics
by - UCLA
Contents: Basic Probability Theory (Conditional Probability, Random Variables, Limit Theorems); Elements of Statistics (Estimators, Tests, Distributions, Correlation and Covariance, Linear Regression, Markov Chains); Probabilistic Linguistics.
(9404 views)