
Quantitative Approaches to Universality and Individuality in Language
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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.
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Content
- Intro
- Editors' Foreword
- Contents
- Why does negation of the predicate shorten a clause?
- The co-effect of Menzerath-Altmann law and heavy constituent shift in natural languages
- Does the century matter? Machine learning methods to attribute historical periods in an Italian literary corpus
- Too much of a good thing
- Linguistic laws in Catalan
- Dating and geolocation of medieval and modern Spanish notarial documents using distributed representation
- Cross-modal authorship attribution in Russian texts
- Free or not so free? On stress position in Russian, Slovene, and Ukrainian
- Unpacking lexical intertextuality: Vocabulary shared among texts
- The Menzerath-Altmann law in the syntactic relations of the Chinese language based on Universal Dependencies (UD)
- Statistical tools, automatic taxonomies, and topic modelling in the study of self-promotional mission and vision texts of Polish universities
- Quantitative characteristics of phonological words (stress units)
- Explorative study on the Menzerath- Altmann law regarding style, text length, and distributions of data points
- Quantitative analysis of the authorship problem of "The Tale of Genji"
- Revisiting Zipf's law: A new indicator of lexical diversity
- A time-series analysis of vocabulary in Japanese texts: Non-characteristic words and topic words
- Authors' addresses
- Name index
- Subject index
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