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Sequences in Language and Text / ed. by George K. Mikros, Ján Macutek.

Contributor(s): Material type: TextTextSeries: Quantitative Linguistics [QL] ; 69Publisher: Berlin ; Boston : De Gruyter Mouton, [2015]Copyright date: ©2015Description: 1 online resource (260 p.)Content type:
Media type:
Carrier type:
ISBN:
  • 9783110362732
  • 9783110394771
  • 9783110362879
Subject(s): DDC classification:
  • 006.3/5 23
LOC classification:
  • P98.5 .S47 2015
Other classification:
  • online - DeGruyter
Online resources: Available additional physical forms:
  • Issued also in print.
Contents:
Frontmatter -- 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 -- Where Alice Meets Little Prince -- A Probabilistic Model for the Arc Length in Quantitative Linguistics -- Subject Index -- Authors Index -- Authors’ addresses
Summary: The edited volume Sequences in Language and Text is the first collection of original research in the area of the quantitative analysis of sequentially organized linguistic data. Linguistic sequences are extremely useful textual structures in almost all areas of Language Technology. Character and word n-grams are by far the most successful features in text classification tasks such as authorship identification, text categorization, genre classification, sentiment analysis etc. Furthermore character linguistic sequences are the basis for linguistic modeling and subsequent applications such as speech recognition, language identification etc. In addition to the above language technology oriented research, the present volume aims to give insight to the theoretical value of linguistic sequences. Sequences in texts can be produced by a number of different factors, either external to the linguistic system or by its own grammatical structure. This volume hosts contributions which will analyze linguistic sequences using quantitative methods under the synergetic theoretical framework that can explain their role in the linguistic system.
Holdings
Item type Current library Call number URL Status Notes Barcode
eBook eBook Biblioteca "Angelicum" Pont. Univ. S.Tommaso d'Aquino Nuvola online online - DeGruyter (Browse shelf(Opens below)) Online access Not for loan (Accesso limitato) Accesso per gli utenti autorizzati / Access for authorized users (dgr)9783110362879

Frontmatter -- 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 -- Where Alice Meets Little Prince -- A Probabilistic Model for the Arc Length in Quantitative Linguistics -- Subject Index -- Authors Index -- Authors’ addresses

restricted access online access with authorization star

http://purl.org/coar/access_right/c_16ec

The edited volume Sequences in Language and Text is the first collection of original research in the area of the quantitative analysis of sequentially organized linguistic data. Linguistic sequences are extremely useful textual structures in almost all areas of Language Technology. Character and word n-grams are by far the most successful features in text classification tasks such as authorship identification, text categorization, genre classification, sentiment analysis etc. Furthermore character linguistic sequences are the basis for linguistic modeling and subsequent applications such as speech recognition, language identification etc. In addition to the above language technology oriented research, the present volume aims to give insight to the theoretical value of linguistic sequences. Sequences in texts can be produced by a number of different factors, either external to the linguistic system or by its own grammatical structure. This volume hosts contributions which will analyze linguistic sequences using quantitative methods under the synergetic theoretical framework that can explain their role in the linguistic system.

Issued also in print.

Mode of access: Internet via World Wide Web.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 25. Jun 2024)