Sequences in Language and Text.

By: Mikros, George KContributor(s): Macutek, JánMaterial type: TextTextSeries: Quantitative Linguistics [QL] SerPublisher: Berlin/Boston : De Gruyter, Inc., 2015Copyright date: ©2015Description: 1 online resource (260 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9783110362879Subject(s): Computational linguistics -- ResearchGenre/Form: Electronic books.Additional physical formats: Print version:: Sequences in Language and TextDDC classification: 006.3/5 LOC classification: P98.5 -- .S47 2015ebOnline resources: Click to View
Contents:
Intro -- Foreword -- Contents -- Introduction -- Linguistic Analysis Based on Fuzzy Similarity Models -- Textual navigation and autocorrelation -- Menzerath-Altmann law versus random model -- Text length and the lambda frequency structure of a text -- Linguistic Motifs -- Linguistic Modelling of Sequential Phenomena -- Menzerath-Altmann Law for Word Length Motifs -- Is the Distribution of L-Motifs Inherited from the Word Length Distribution? -- Sequential Structures in "Dalimil's Chronicle" -- Comparative Evaluation of String Similarity Measures for Automatic Language Classification -- Predicting Sales Trends.Can sentiment analysis on social media help? -- Where Alice Meets Little Prince.Another approach to study language relationships -- A Probabilistic Model for the Arc Length in Quantitative Linguistics -- Subject Index -- Authors Index -- Authors' addresses.
Summary: The series Quantitative Linguistics publishes books on all aspects of quantitative methods and models in linguistics, text analysis and related research fields. Specifically, the scope of the series covers the whole spectrum of theoretical and empirical research, ultimately striving for an exact mathematical formulation and empirical testing of hypotheses: observation and description of linguistic data, application of methods and models, discussion of methodological and epistemological issues, modelling of language and text phenomena.
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Intro -- Foreword -- Contents -- Introduction -- Linguistic Analysis Based on Fuzzy Similarity Models -- Textual navigation and autocorrelation -- Menzerath-Altmann law versus random model -- Text length and the lambda frequency structure of a text -- Linguistic Motifs -- Linguistic Modelling of Sequential Phenomena -- Menzerath-Altmann Law for Word Length Motifs -- Is the Distribution of L-Motifs Inherited from the Word Length Distribution? -- Sequential Structures in "Dalimil's Chronicle" -- Comparative Evaluation of String Similarity Measures for Automatic Language Classification -- Predicting Sales Trends.Can sentiment analysis on social media help? -- Where Alice Meets Little Prince.Another approach to study language relationships -- A Probabilistic Model for the Arc Length in Quantitative Linguistics -- Subject Index -- Authors Index -- Authors' addresses.

The series Quantitative Linguistics publishes books on all aspects of quantitative methods and models in linguistics, text analysis and related research fields. Specifically, the scope of the series covers the whole spectrum of theoretical and empirical research, ultimately striving for an exact mathematical formulation and empirical testing of hypotheses: observation and description of linguistic data, application of methods and models, discussion of methodological and epistemological issues, modelling of language and text phenomena.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2018. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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