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Titlebook: Language, Nation and Power; An Introduction Robert McColl Millar Book 2005 Palgrave Macmillan, a division of Macmillan Publishers Limited 2

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發(fā)表于 2025-3-21 18:10:51 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Language, Nation and Power
副標(biāo)題An Introduction
編輯Robert McColl Millar
視頻videohttp://file.papertrans.cn/582/581138/581138.mp4
圖書封面Titlebook: Language, Nation and Power; An Introduction Robert McColl Millar Book 2005 Palgrave Macmillan, a division of Macmillan Publishers Limited 2
描述Language, Nation and Power provides students with a discussion of the ways in which language has been (and is being) used to construct national (or ethnic) identity. It focuses on the processes by which a language can be planned and standardized and what the results of these processes are. Particular emphasis is given to the historical and social effects which nationalism has had on the development of language since the French Revolution. For students of linguistics, sociology and politics.
出版日期Book 2005
關(guān)鍵詞bibliography; French; French revolution; identity; knowledge; language; linguistics; model; nation; planning;
版次1
doihttps://doi.org/10.1057/9780230504226
isbn_softcover978-1-4039-3972-2
isbn_ebook978-0-230-50422-6
copyrightPalgrave Macmillan, a division of Macmillan Publishers Limited 2005
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發(fā)表于 2025-3-21 21:49:44 | 只看該作者
Robert McColl Millarion to better manage their care. Some of these are old ideas while others are quite new. Changing economics and the new models of payment and care are increasing interest in mHealth based approaches to patient engagement in their own care as well as connecting patients to their providers on a more c
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Robert McColl Millar radicals. The Cross Star-Transformer model we proposed employs two Star-Transformers to model the embeddings of the input medical text character sequence and the corresponding radical sequence embedding. It fuses the Chinese character radical features with the character features, enabling the few-s
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發(fā)表于 2025-3-22 14:47:35 | 只看該作者
Robert McColl Millarg the classification effect between different types more obvious through syntactic enhancement. Compared with other methods, the experimental findings obtained on two publicly accessible biomedical datasets demonstrate that the approach we proposed performs the state-of-the-art.
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Robert McColl Millar addition, a more detailed analysis of five aspects, including total population, energy consumption, and national income, shows that the best time to implement the carbon tax policy is when the damage degree of COVID-19 is moderate. The analysis results can provide a reference and basis for China to
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Robert McColl Millarataset, the HitRatio@1 of BG-INT also reaches 96.5%, and 2840 pieces of cardiovascular and cerebrovascular data redundancy are eliminated after knowledge fusion. We propose an entity interaction model based on BERT and GCN, and demonstrate the effectiveness of the proposed model on the multilingual
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