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Language Planning in the Post-Communist Era

Overview of attention for book
Cover of 'Language Planning in the Post-Communist Era'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Language Planning: Theoretical Background
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    Chapter 3 Language Planning and Policy in China: Unity, Diversity and Social Control
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    Chapter 4 Language Policy in Russia: Nation, Nationalism, and Language
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    Chapter 5 Language Policy and Power Politics in Post-Soviet Tatarstan
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    Chapter 6 Language Policy and Hegemony in the Turkic Republics
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    Chapter 7 Language Policy in Independent Ukraine: A Battle for National and Linguistic Empowerment
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    Chapter 8 Lithuanian Language Planning: A Battle for Language and Power
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    Chapter 9 Language Planning in Latvia as a Struggle for National Sovereignty
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    Chapter 10 The Polish Language Act: Legislating a Complicated Linguistic-Political Landscape
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    Chapter 11 Language Planning in Slovakia: Nation-Building in the Context of European Integration
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    Chapter 12 Forms of Language Planning and Policy in the Czech Republic
Attention for Chapter 11: Language Planning in Slovakia: Nation-Building in the Context of European Integration
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Citations

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Summary Dimensions citations
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Chapter title
Language Planning in Slovakia: Nation-Building in the Context of European Integration
Chapter number 11
Book title
Language Planning in the Post-Communist Era
Published by
Palgrave Macmillan, Cham, January 2018
DOI 10.1007/978-3-319-70926-0_11
Book ISBNs
978-3-31-970925-3, 978-3-31-970926-0
Authors

Marián Sloboda, Lucia Molnár Satinská, Mira Nábělková

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 1 33%
Unknown 2 67%
Readers by discipline Count As %
Business, Management and Accounting 1 33%
Unknown 2 67%

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