Dunstan Brown

Network Morphology (eBook, PDF)

A Defaults-based Theory of Word Structure

• Format: PDF

Produktbeschreibung

Morphology is particularly challenging, because it is pervaded by irregularity and idiosyncrasy. This book is a study of word structure using a specific theoretical framework known as 'Network Morphology'. It describes the systems of rules which determine the structure of words by construing irregularity as a matter of degree, using examples from a diverse range of languages and phenomena to illustrate. Many languages share common word building strategies and many diverge in interesting ways. These strategies can be understood by distinguishing different notions of 'default'. The Network Morphology philosophy promotes the use of computational implementation to check theories. The accompanying website provides the computer coded version of the Network Morphology model of word structure for readers to test, customize and develop. This book will be a valuable contribution to the fields of linguistic typology and morphology and will be welcomed by researchers and graduate students in these areas.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 2. Februar 2012
• Englisch
• ISBN-13: 9781139200400
• Artikelnr.: 38280095

Autorenporträt

Dunstan Brown investigates autonomous morphology, morphology-syntax interaction, and typology. His recent work has focused on describing and understanding different aspects of morphological complexity. After graduating with a BA in Modern Languages and a Master of Linguistics from the University of Manchester, he completed a PhD in Linguistics at the University of Surrey and worked there for many years before taking up a 50th Anniversary Chair at the University of York in 2012.

Inhaltsangabe

1. Options in constructing a morphological framework
2. A framework for morphological defaults
3. Inflectional classes
4. Syncretism
5. Morphological mismatch and extended deponency
6. Defaults and paradigmatic restructuring
7. Derivation
8. Conclusion.