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Morphological typology : from word to paradigm / Gregory Stump and Raphael A. Finkel, University of Kentucky.

By: Contributor(s): Series: Cambridge studies in linguistics ; 138.Publisher: Cambridge : Cambridge University Press, 2013Description: 1 online resource (xxiv, 402 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781139248860 (ebook)
Subject(s): Genre/Form: Additional physical formats: Print version: : No titleDDC classification:
  • 415/.9 23
LOC classification:
  • P241 .S78 2013
Online resources: Summary: In this radically new approach to morphological typology, the authors set out new and explicit methods for the typological classification of languages. Drawing on evidence from a diverse range of languages including Chinantec, Dakota, French, Fur, Icelandic, Ngiti and Sanskrit, the authors propose innovative ways of measuring inflectional complexity. Designed to engage graduate students and academic researchers, the book presents opportunities for further investigation. The authors' data sets and the computational tool that they constructed for their analysis are available online, allowing readers to employ them in their own research. Readers can access the online computational tool through www.cambridge.org/stump_finkel.
Item type: eBooks
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Title from publisher's bibliographic system (viewed on 05 Oct 2015).

In this radically new approach to morphological typology, the authors set out new and explicit methods for the typological classification of languages. Drawing on evidence from a diverse range of languages including Chinantec, Dakota, French, Fur, Icelandic, Ngiti and Sanskrit, the authors propose innovative ways of measuring inflectional complexity. Designed to engage graduate students and academic researchers, the book presents opportunities for further investigation. The authors' data sets and the computational tool that they constructed for their analysis are available online, allowing readers to employ them in their own research. Readers can access the online computational tool through www.cambridge.org/stump_finkel.

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