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Data, models, information and applications
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Language:
English
Published/Copyright:
2021
About this book
Specialists in quantitative linguistics the world over have recourse to a solid and universal methodology. These days, their methods and mathematical models must also respond to new communication phenomena and the flood of data produced daily. While various disciplines (computer science, media science) have different ways of processing this onslaught of information, the linguistic approach is arguably the most relevant and effective. This book includes recent results from many renowned contemporary practitioners in the field. Our target audiences are academics, researchers, graduate students, and others involved in linguistics, digital humanities, and applied mathematics.
Topics
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Prelim pages
i -
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Table of contents
v -
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Introduction
1 -
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Part I. Theory and models
7 -
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On the impact of the initial phrase length on the position of enclitics in Old Czech
9 -
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Term distance, frequency and collocations
21 -
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A method for the comparison of general sequences via type-token ratio
37 -
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Quantitative analysis of syllable properties in Croatian, Serbian, Russian, and Ukrainian
55 -
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N -grams of grammatical functions and their significant order in the Japanese clause
69 -
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Linking the dependents
93 -
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Grammar efficiency and the One-Meaning–One-Form Principle
109 -
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Distribution and characteristics of commonly used words across different texts in Japanese
121 -
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Part II. Empirical studies
135 -
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The perils of big data
137 -
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From distinguishability to informativity
145 -
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A Modern Greek readability tool
163 -
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Phonological properties as predictors of text success
177 -
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Calculating the victory chances
195 -
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Topological mapping for visualisation of high-dimensional historical linguistic data
209 -
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Book genre and author’s gender recognition based on titles
225 -
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Quantitative analysis of bibliographic corpora
239 -
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Analysis of English text genre classification based on dependency types
257 -
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In memory of Gabriel Altmann
271 -
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Index
277
Publishing information
Pages and Images/Illustrations in book
eBook published on:
November 8, 2021
eBook ISBN:
9789027258380
Pages and Images/Illustrations in book
Main content:
280
This book is in the series
eBook ISBN:
9789027258380
Audience(s) for this book
Professional and scholarly;