The Road to Unfreedom

The Road to Unfreedom PDF

Author: Timothy Snyder

Publisher: Crown

Published: 2019-04-09

Total Pages: 385

ISBN-13: 0525574476

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NEW YORK TIMES BESTSELLER • From the author of On Tyranny comes a stunning new chronicle of the rise of authoritarianism from Russia to Europe and America. “A brilliant analysis of our time.”—Karl Ove Knausgaard, The New Yorker With the end of the Cold War, the victory of liberal democracy seemed final. Observers declared the end of history, confident in a peaceful, globalized future. This faith was misplaced. Authoritarianism returned to Russia, as Vladimir Putin found fascist ideas that could be used to justify rule by the wealthy. In the 2010s, it has spread from east to west, aided by Russian warfare in Ukraine and cyberwar in Europe and the United States. Russia found allies among nationalists, oligarchs, and radicals everywhere, and its drive to dissolve Western institutions, states, and values found resonance within the West itself. The rise of populism, the British vote against the EU, and the election of Donald Trump were all Russian goals, but their achievement reveals the vulnerability of Western societies. In this forceful and unsparing work of contemporary history, based on vast research as well as personal reporting, Snyder goes beyond the headlines to expose the true nature of the threat to democracy and law. To understand the challenge is to see, and perhaps renew, the fundamental political virtues offered by tradition and demanded by the future. By revealing the stark choices before us--between equality or oligarchy, individuality or totality, truth and falsehood--Snyder restores our understanding of the basis of our way of life, offering a way forward in a time of terrible uncertainty.

Memory Politics in Contemporary Russia

Memory Politics in Contemporary Russia PDF

Author: Mariëlle Wijermars

Publisher: Routledge

Published: 2018-07-11

Total Pages: 225

ISBN-13: 1351007181

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This book examines the societal dynamics of memory politics in Russia. Since Vladimir Putin became president, the Russian central government has increasingly actively employed cultural memory to claim political legitimacy and discredit all forms of political opposition. The rhetorical use of the past has become a defining characteristic of Russian politics, creating a historical foundation for the regime’s emphasis on a strong state and centralised leadership. Exploring memory politics, this book analyses a wide range of actors, from the central government and the Russian Orthodox Church, to filmmaker and cultural heavyweight Nikita Mikhalkov and radical thinkers such as Aleksandr Dugin. In addition, in view of the steady decline in media freedom since 2000, it critically examines the role of cinema and television in shaping and spreading these narratives. Thus, this book aims to gain a better understanding of the various means through which the Russian government practices its memory politics (e.g., the role of state media) and, on the other hand, to sufficiently value the existence of alternative and critical voices and criticism that existing studies tend to overlook. Contributing to current debates in the field of memory studies and of current affairs in Russia and Eastern Europe, this book will be of interest to scholars working in the fields of Russian Studies, Cultural Memory Studies, Nationalism and National Identity, Political Communication, Film, Television and Media Studies.

Fixing the Broken Promise of Education for All

Fixing the Broken Promise of Education for All PDF

Author: Angela Hawke

Publisher: United Nations Education, Scientific & Cultural Organization

Published: 2015

Total Pages: 0

ISBN-13: 9789291891610

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Fixing the Broken Promise of Education for All, published by the UNESCO Institute for Statistics and UNICEF, presents the latest statistical evidence from administrative records and household surveys to better identify children who are out of school and the reasons for their exclusion from education. It aims to inform the policies needed to reach these children and finally deliver the promise of Education for All. Based on a series of national and regional studies and policy analysis by leading experts, the report explains why better data and cross-sector collaboration are fundamental to the design of effective interventions to overcome the barriers facing out-of-school children and adolescents. While highlighting the way forward for system-wide policies to improve educational quality and affordability, the report also presents the information needed for targeted approaches to address the compounding effects of disadvantage faced by children caught up in armed conflict, girls, working children, children with disabilities, or members of ethnic or linguistic minorities. This report presents a roadmap to improve the data, research and policies needed to catalyse action for out-of-school children as the world embarks on a new development agenda for education.

World Report 2018

World Report 2018 PDF

Author: Human Rights Watch

Publisher: Seven Stories Press

Published: 2018-01-30

Total Pages: 704

ISBN-13: 1609808150

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The human rights records of more than ninety countries and territories are put into perspective in Human Rights Watch's signature yearly report. Reflecting extensive investigative work undertaken in 2016 by Human Rights Watch staff, in close partnership with domestic human rights activists, the annual World Report is an invaluable resource for journalists, diplomats, and citizens, and is a must-read for anyone interested in the fight to protect human rights in every corner of the globe.

Statistical Machine Translation

Statistical Machine Translation PDF

Author: Philipp Koehn

Publisher: Cambridge University Press

Published: 2010

Total Pages: 447

ISBN-13: 0521874157

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The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for anyone interested in the latest developments in machine translation.

An American in Paris Suite

An American in Paris Suite PDF

Author:

Publisher: Pop Concert Full Orchestra

Published: 2000-08

Total Pages: 0

ISBN-13: 9780757936333

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True to the original but edited to fit your needs. Choosing to program the complete An American in Paris may be too cumbersome, but we have the solution! This classic work has earned its place in music history, and this arrangement lives up to its reputation. Both programmatic and musical, it's Gershwin at its best!

Representation Learning for Natural Language Processing

Representation Learning for Natural Language Processing PDF

Author: Zhiyuan Liu

Publisher: Springer Nature

Published: 2020-07-03

Total Pages: 319

ISBN-13: 9811555737

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This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.