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(Ebook) Gender and Noun Classification by Éric Mathieu (editor), Myriam Dali (editor), Gita Zareikar (editor) ISBN 9780198828112, 019882811X

  • SKU: EBN-38514296
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Authors:Éric Mathieu (editor), Myriam Dali (editor), Gita Zareikar (editor)
Pages:336 pages.
Year:2019
Editon:Illustrated
Publisher:Oxford University Press
Language:english
File Size:4.53 MB
Format:pdf
ISBNS:9780198828112, 019882811X
Categories: Ebooks

Product desciption

(Ebook) Gender and Noun Classification by Éric Mathieu (editor), Myriam Dali (editor), Gita Zareikar (editor) ISBN 9780198828112, 019882811X

This volume explores the many ways by which natural languages categorize nouns into genders or classes. A noun may belong to a given class because of its logical or symbolic similarities with other nouns, because it shares a similar morphological form with other nouns, or simply through an
arbitrary convention. The aim of this book is to establish which functional or lexical categories are responsible for this type of classification, especially along the nominal syntactic spine.
The book's contributors draw on data from a wide range of languages, including Amharic, French, Gitksan, Haro, Lithuanian, Japanese, Mi'kmaw, Persian, and Shona. Chapters examine where in the nominal structure gender is able to function as a classifying device, and how in the absence of gender,
other functional elements in the nominal spine come to fill that gap. Other chapters focus on how gender participates in grammatical concord and agreement phenomena. The volume also discusses semantic agreement: hybrid agreement sometimes arises due to a distinction that grammars encode between
natural gender on the one hand and grammatical gender on the other. The findings in the volume have significant implications for syntactic theory and theories of interpretation, and contribute to a greater understanding of the interplay between inflection and derivation. The volume will be of
interest to theoretical linguists and typologists from advanced undergraduate level upwards.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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