Language and Text
Data, models, information and applications
Editors
Jan Mačutek | Mathematical Institute of Slovak Academy of Sciences & Constantine the Philosopher University in Nitra
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.
[Current Issues in Linguistic Theory, 356] 2021. vi, 280 pp.
Publishing status: Available
© John Benjamins
Table of Contents
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IntroductionAdam Pawłowski, Sheila Embleton, Jan Mačutek and George Mikros | pp. 1–6
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Part I. Theory and models
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On the impact of the initial phrase length on the position of enclitics in Old CzechRadek Čech, Pavel Kosek, Olga Navrátilová and Ján Mačutek | pp. 9–20
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Term distance, frequency and collocationsLars G. Johnsen | pp. 21–36
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A method for the comparison of general sequences via type-token ratioVladimír Matlach, Diego Gabriel Krivochen and Jiří Milička | pp. 37–54
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Quantitative analysis of syllable properties in Croatian, Serbian, Russian, and UkrainianBiljana Rujević, Marija Kaplar, Sebastijan Kaplar, Ranka Stanković, Ivan Obradović and Ján Mačutek | pp. 55–68
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N-grams of grammatical functions and their significant order in the Japanese clauseHaruko Sanada | pp. 69–92
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Linking the dependents: Quantitative-linguistic hypotheses on valencyPetra Steiner | pp. 93–108
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Grammar efficiency and the One-Meaning–One-Form PrincipleRelja Vulanović | pp. 109–120
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Distribution and characteristics of commonly used words across different texts in JapaneseMakoto Yamazaki | pp. 121–134
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Part II. Empirical studies
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The perils of big dataSheila Embleton, Dorin Uritescu and Eric S. Wheeler | pp. 137–144
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From distinguishability to informativity: A quantitative text model for detecting random textsMaxim Konca, Alexander Mehler, Daniel Baumartz and Wahed Hemati | pp. 145–162
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A Modern Greek readability tool: Development of evaluation methodsGeorge Mikros and Rania Voskaki | pp. 163–176
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Phonological properties as predictors of text successJiří Milička and Alžběta Houzar Růžičková | pp. 177–194
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Calculating the victory chances: A stylometric insight into the 2018 Czech presidential electionMichal Místecký | pp. 195–208
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Topological mapping for visualisation of high-dimensional historical linguistic dataHermann Moisl | pp. 209–224
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Book genre and author’s gender recognition based on titles: The example of the bibliographic corpus of microtextsAdam Pawłowski, Elżbieta Herden and Tomasz Walkowiak | pp. 225–238
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Quantitative analysis of bibliographic corpora: Statistical features, semantic profiles, word spectraAdam Pawłowski, Krzysztof Topolski and Elżbieta Herden | pp. 239–256
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Analysis of English text genre classification based on dependency typesYaqin Wang | pp. 257–270
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In memory of Gabriel Altmann: Eminent linguist, a man with a brilliant mind, and friend | pp. 271–276
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Index | pp. 277–280
Cited by
Cited by 1 other publications
Giles, Howie
2022. Recent New Book Alerts, 2020-2022. Journal of Language and Social Psychology 41:2 ► pp. 232 ff. 
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Subjects
Main BIC Subject
CFX: Computational linguistics
Main BISAC Subject
LAN009000: LANGUAGE ARTS & DISCIPLINES / Linguistics / General