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Sunday, November 29, 2020 | History

2 edition of Quantitative and statistical linguistics found in the catalog.

Quantitative and statistical linguistics

Conrad Sabourin

Quantitative and statistical linguistics

frequencies of characters, phonemes, words, grammatical categories, syntactic structures, lexical richness, word collocations, entropy, word length, sentence length : bibliography

by Conrad Sabourin

  • 304 Want to read
  • 9 Currently reading

Published by Infolingua in Montréal .
Written in English

    Subjects:
  • Linguistics -- Statistical methods -- Bibliography.,
  • Computational linguistics -- Bibliography.,
  • Linguistique -- Méthodes statistiques -- Bibliography.,
  • Linguistique -- Informatique -- Bibliographie.

  • Edition Notes

    Includes index.

    Other titlesFrequencies of characters, phonemes, words, grammatical categories, syntactic structures, lexical richness, word collocations, entropy, word length, sentence length
    StatementConrad F. Sabourin.
    GenreBibliography.
    SeriesInfolingua ;, 13
    Classifications
    LC ClassificationsZ7004.S72 S23 1994, P138.5 S23 1994
    The Physical Object
    Paginationvii, 507 p. ;
    Number of Pages507
    ID Numbers
    Open LibraryOL86245M
    ISBN 102921173190
    LC Control Number99193668
    OCLC/WorldCa30815064


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Quantitative and statistical linguistics by Conrad Sabourin Download PDF EPUB FB2

Quantitative Methods in Linguistics offers a practical introduction to statistics and quantitative analysis with data sets drawn from the field and coverage of phonetics, psycholinguistics, sociolinguistics, historical linguistics, and syntax, as well as probability distribution and quantitative methods.

Provides balanced treatment of the practical aspects of handling quantitative linguistic dataCited by:   Reviews “The second edition of Sebastian M. Rasinger's Quantitative Research in Linguistics: An Introduction is an attractive introductory book to quantitative analytical techniques that can be used in linguistics, and, furthermore, it gently introduces the reader basic principles in statistics.

It would be a good choice for a coursebook in general quantitative linguistics and can be used Quantitative and statistical linguistics book. "Johnson's book is a catalyst for change in linguistics. Increasingly, the subjective, impressionistic data collection method is being replaced by objective, quantitative measurements.

This book serves an important function in this process leading students step-by-step toward using statistical methods to analyze complex data.". This book gives a comprehensive account of the various developments and applications in quantitative an overview of methods used in quantitative linguistics, it discusses the main areas: lexical statistics, grammatical statistics and semantics statistics, with reference to a Quantitative and statistical linguistics book number of studies of different languages and.

This book gives a comprehensive account of the various developments and applications in quantitative an overview of methods used in quantitative linguistics, it discusses the main areas: lexical statistics, grammatical statistics and semantics statistics, with reference to a great number of studies of different languages and.

View our complete catalog of authoritative Quantitative and Statistical Methods related book titles and textbooks published by Quantitative and Statistical Methods Titles List of Results. Statistics in Corpus Linguistics Research: A New Approach. Sean Wallis. Nov. 23rd, Age, Period and Cohort Effects: Statistical Analysis and the.

Statistical Methods in Language and Linguistic Research illustrates with numerous examples how quantitative methods can most fruitfully contribute to linguistic analysis and research.

It does not intend to offer an exhaustive presentation of all statistical techniques available to linguistics, but to demonstrate the contribution that statistics can and should make to linguistic studies.

books on quantitative =statistical research in applied linguistics. The article begins by explaining the types of texts that will not be reviewed, then it brie y describes nine books that address how to do quantitative =statistical applied linguistics research.

The review then compares (in prose and tables) the general characteristics of. An appendix containing a summary of statistical formulae, excel commands and statistical tables is included and is an invaluable ting a down-to-earth and readable introduction to quantitative research, this book is a useful how-to guide for students encountering quantitative data for the first time, or for postgraduates embarking.

This e-book grew out of lecture notes for the one-semester graduate course on methods for Experimental Linguistics given in the Department of Linguistics at McGill University.

“Experimental Linguistics” is a cover term sometimes used for any linguistic study based on quantitative data collected from the world, whether from laboratory. Applied linguistics postgraduate students and researchers will find this book helpful in understanding some of the complex statistical procedures like DFA.

Australian Review of Applied Linguistics T he overall benefit from Cantos Gómez's Statistical Methods in Language and Linguistic Research is thus clear: Language researchers aiming to use Cited by: In this article, I review the historical circumstances that led to the quantitative turn in cognitive linguistics and give an overview of statistical models used by cognitive linguists, including.

The purpose of this review article is to survey and evaluate existing books on quantitative/statistical research in applied linguistics. The Quantitative and statistical linguistics book begins by e.

Quantitative Corpus Linguistics with R book. A Practical Introduction. Quantitative Corpus Linguistics with R. basic aspects of statistical analysis and visualization. This book is extremely hands-on and leads the reader through dozens of small applications as well as larger case studies.

Along with an array of exercise boxes and separate. Over the past two decades, statistical and other quantitative concepts, models and methods have been increasingly gaining importance and interest in all areas of linguistics and text analysis, as well as in a number of neighboring disciplines and areas of application.

The term "quantitative linguistics" comprises all scientific and technical approaches which use such terms and methods in the. Statistics for Linguistics with R This book is the revised and extended second edition of Statistics It avoids mathematical jargon and discusses the logic and structure of quantitative studies and introduces descriptive statistics as well as a range of monofactorial statistical tests for frequencies, distributions, means, dispersions.

This book is a textbook on R, a programming language and environment for statistical analysis and visualization. Its primary aim is to introduce R as a research instrument in quantitative Interactional Linguistics.

In quantitative linguistics, linguistic laws are statistical regularities emerging across different linguistic scales (i.e. phonemes, syllables, words or sentences) that can be formulated mathematically and that have been deduced from certain theoretical assumptions. The review then compares (in prose and tables) the general characteristics of these nine books, and their coverage of conceptual and statistical topics.

Examining all nine books together provides answers to three questions: What is the range of conceptual/statistical topics in applied linguistics?Cited by: Quantitative Methods in Linguistics offers a practical introduction to statistics and quantitative analysis with data sets drawn from the field and coverage of phonetics, psycholinguistics, sociolinguistics, historical linguistics, and syntax, as well as probability distribution and quantitative methods.

Provides balanced treatment of the practical aspects of handling quantitative linguistic. History. Statistical methods have been used for the purpose of quantitative analysis in comparative linguistics for more than a century.

During the s, the Swadesh list emerged: a standardised set of lexical concepts found in most languages, as words or phrases, that allow two or more languages to be compared and contrasted empirically.

Probably the first published quantitative historical. DOI: / Corpus ID: Quantitative methods in linguistics @article{KelihQuantitativeMI, title={Quantitative methods in linguistics.

The statistical methodology and R-based coding from this book teaches readers the basic and then more advanced skills to work with large data sets in their linguistics research and studies. Chapters cover topics including corpus processing, frequencing data, and clustering methods. This book is an introduction to statistics for linguists using the open source software R.

It is aimed at students and professors with little or no statistical background, is written in a non-technical and reader-friendly style, and covers the structure of quantitative studies, descriptive and analytical statistics, multifactorial approaches and simple statistical graphs/5(1).

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.

On the other hand, there are a small number of introductions which can show the reader some backgrounds of quantitative linguistics. Usually, the authors fulfill the books by mathematics, deriving of models, statistical tests, computing some probabilities etc. and the beginner does not know what to.

“For the maths-shy linguistics student with no statistics training, this long-needed, reader-friendly book demystifies what quantitative research is and how it's done.

Assuming no prior knowledge, students are introduced to various research methods and shown the steps to designing, analysing and interpreting data. This textbook presents a comprehensive introduction to analysing quantitative linguistic data.

Starting with an in-depth examination of what quantitative data is, and how it differs from qualitative data, the book examines what the linguist is trying to find out through analysing data, and how quantitative techniques can help him or her to arrive at meaningful and accurate/5(1).

Designed to serve as a textbook for courses in statistical analysis in linguistics, this book orients the reader to various quantitative methods and explains their implications for the field. The methods include chi-square, Fisher test, binomial test, ANOVA, correlation, regression, and cluster.

The second part of the book is dedicated to research methods. The author discusses in detail the units of population in morphological, lexical, and other domains of quantitative linguistics.

In lexical statistics, instead of defining a word as a unit. E-Book ISBN: Publisher: Quantitative Approaches to Similarity in Cognitive Linguistics 1: The Phonology of Blends The Use of Statistical Models in Cognitive Linguistics.

Corpus Data and Experimental Data: Examples and Applications. Over the last few decades, linguistics has experienced a strong empirical and quantitative turn towards both experimental and observational, esp. corpus, data. Mu ch of corpus linguistics was.

Sample \(\to\) population: High level. In inferential statistics, the general procedure is to use the sample to calculate sample sample statistics are used to estimate the population values of the parameters we actually care about.

Ideally the sample statistics should be unbiased estimators of the population values, defined as. The more data we have, the closer the.

17 November New introductory quantitative linguistics book: Best, K.-H., Rottmann, O. () Quantitative Linguistics: an Invitation, Studies in Quantitative Linguist Lüdenscheid, Germany: RAM-Verlag.

This is a strongly extended translation of the German original „Quantitative Linguistik. Eine Annäherung”, 3rd edition. 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 : Springer International Publishing.

Book Description. The Routledge Handbook of Research Methods in Applied Linguistics provides a critical survey of the methodological concepts, designs, instruments and types of analysis that are used within the broad field of applied linguistics.

With more than 40 chapters written by leading and emerging scholars, this book problematizes and theorizes applied linguistics research.

Statistics plays an important role in the fields that deal with quantitative data. Computational linguistics is no exception. The quantitative investigation of linguistic data helps us understand the latent patterns that have helped phoneticians, psycholinguistics, linguistics, and many others to.

Designed to serve as a textbook for courses in statistical analysis in linguistics, this book orients the reader to various quantitative methods and explains their implications for the field.

The methods include chi-square, Fisher test, binomial test, ANOVA, correlation, regression, and cluster analysis. The advantages and limitations of each method are detailed and each method is.

The first textbook of its kind, Quantitative Corpus Linguistics with R demonstrates how to use the open source programming language R for corpus linguistic ational and corpus linguists doing corpus work will find that R provides an enormous range of functions that currently require several programs to achieve – searching and processing corpora, arranging and outputting the.

‘He has published three books and more than thirty articles and chapters, focussing mainly on corpus linguistics, content analysis, and quantitative linguistics.’ More example sentences ‘The first plans for and work on a bibliography of quantitative linguistics began inunder the pressure of the increasing interest in this area of.

Gives a comprehensive account of the various developments and applications in quantitative linguistics. After an overview of methods used in quantitative linguistics, it discusses the main areas: lexical statistics, grammatical statistics, and semantics statistics.Quantitative Classification of Indo-European Languages.

Language 13(2). List, Johann-Mattis. Sequence Comparison in Historical Linguistics. (Dissertations in Language and Cognition).

Düsseldorf: Düsseldorf University Press. Steiner, Lydia, Peter F Stadler & Michael Cysouw. A Pipeline for Computational Historical Linguistics. The book also provides detailed instruction in practical aspects of handling quantitative linguistic data by using statistical software package (R) to discover patterns in quantitative data and to test linguistic hypotheses.

End-of-chapter assignments and a balanced presentation make this an ideal text for students.