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    Chineasy: The New Way to Read Chinese (Paperback) By (author) ShaoLan Hsueh

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    DescriptionLearning Chinese is notoriously difficult and has long put off the most linguistically savvy Westerners ...until now. Breaking down the Great Wall of language, ShaoLan Hsueh has unpicked Chinese characters and created a simple system for quickly understanding the basic building blocks of the written language. Working with renowned illustrator Noma Bar, she has developed a unique set of illustrations that are engaging and delightful, and offer a glimpse into the wonder of the Chinese language and culture. The books main section introduces the radicals the key characters on which the language is built and reveals how they can be combined to form a wealth of more complex words and phrases. In fewer than 200 pages, readers of all ages will have made the first steps towards a genuine appreciation of Chinese, loving every new character they learn.


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  • Full bibliographic data for Chineasy

    Title
    Chineasy
    Subtitle
    The New Way to Read Chinese
    Authors and contributors
    By (author) ShaoLan Hsueh
    Physical properties
    Format: Paperback
    Number of pages: 192
    Width: 184 mm
    Height: 246 mm
    Thickness: 25 mm
    Weight: 660 g
    Language
    English
    ISBN
    ISBN 13: 9780500650288
    ISBN 10: 0500650284
    Classifications

    BIC E4L: NFXX, LAN
    Nielsen BookScan Product Class 3: Y5.1
    BIC subject category V2: CJCR, YQF
    BIC language qualifier (language as subject) V2: 2GDC
    BISAC V2.8: LAN013000, FOR003000, JNF020000, FOR017000
    BIC subject category V2: 2GDC
    DC23: 495.111
    Thema V1.0: YPCK, CJCR
    BIC E4L: YLA, N5
    Thema language qualifier V1.0: 2GDC
    Publisher
    Thames & Hudson Ltd
    Imprint name
    Thames & Hudson Ltd
    Publication date
    21 March 2014
    Publication City/Country
    London
    Author Information
    ShaoLan is a member of the boards of the Saïd Business School, Oxford University, Asia House and the New School Network. Noma Bar’s work has appeared in Time Out, The Observer, The Economist and Wallpaper*.