Quantitative Linguistics is a rapidly developing discipline covering more and more areas of linguistic and textological research. The book represents an overview of the state of the art in Quantitative Linguistics, its scope and reach. Some of the topics: linguistic laws, frequency analyses, synergetic models of language, networks, part-of-speech systems, authorship attribution, polyfunctionality and polysemy, and opinion target identification.

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 analysis of or work with language(s), texts and other related subjects. The 71 articles in this handbook, written by internationally-recognized experts, offer a broad, up-to-date overview of the scientific-theoretical principles, the history, the diversity of the subject areas studied, the methods and models used, the results obtained thus far and their applications. The articles are divided up into thirteen chapters: the first chapter includes contributions on the basic principles and the history of the field, nine additional chapters are dedicated to individual descriptions of the levels of linguistic research (from phonology to pragmatics) as well as typological, diachronic and geolinguistic questions. The next two chapters include a description of important models, hypotheses and principles; selected areas of application; and references to neighboring disciplines. The last portion of the handbook is an informative contribution, with information about publication forums, bibliographies, major projects, Internet links, etc. This handbook is useful not only for researchers, teachers and students of all branches of linguistics and the philologies, but also for scientists in neighboring fields, whose theoretical and empirical research touches on linguistic questions (for instance, psychology and sociology), or for those who want to make use of the proven methods or results from quantitative linguistics in their own research.

Quantitative linguistic research reveals fascinating patterns in contemporary and historical linguistic data. The book offers insights from a broad range of languages, including Japanese, Slovene and Catalan. The reader is convinced that statistic empirical analysis – and increasingly also machine learning and big data – should be an essential part of any serious linguistic enquiry.

The main aim of this book is to present current research outcomes from quantitative analysis of Czech sign language. A multidisciplinary research project entitled “The Theoretical Basis for Teaching Czech Sign Language Tested through Quantitative Linguistic Methods” was carried out by researchers from three faculties of Palacký University in Olomouc, Czech Republic. It is the first attempt in the field of quantitative linguistics applied to a sign language. The authors believe that their book can serve at least as an introduction for further steps in this meritorious interdisciplinary area.

QUALICO has been held for the first time as an international conference to demonstrate the state of the art in quantitative linguistics. This domain of language study and research is gaining considerable interest due to recent advances in linguistic modelling, particularly in computational linguistics, cognitive science, and developments in mathematics like modern systems theory. Progress in hardware and software technology, together with ease of access to data and numerical processing, has provided new means of empirical data acquisition and the application of mathematical models of adequate complexity. This volume contains the papers read at QUALICO 91, and provides a representative overview of the state of the art in quantitative linguistic research.

Presents a comprehensive introduction to analysing quantitative linguistic data. Starting with an definition of quantitative data, and how it differs from qualitative data, Seb Rasinger examines what the student linguist is trying to find out through analysing data, and how quantitative techniques can help arrive at meaningful and accurate conclusions. This expanded, 2nd edition now also includes a discussion of Analysis of Variance (ANOVA) and MANOVA, and provides a brief introduction to statistical meta-analysis. A companion website allows readers to download crib sheets and Excel templates for the main statistical tools. The book introduces: -using statistics -variables -reliability of data -describing data -analysing data -testing hypotheses -dealing with problematic data. Each chapter includes graphs and figures explaining theory through worked examples, chapter summaries, and exercises to aid student understanding. An appendix containing a summary of statistical formulae, excel commands and statistical tables is included and is an invaluable resource. Presenting 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 on linguistic research projects.

Dependency analysis is increasingly used in computational linguistics and cognitive science. Surprisingly, compared with studies based on phrase structures, quantitative methods and dependency structure are rarely integrated in research.This is the first book that collects original contributions which quantitatively analyze dependency structures across different languages and text genres.