This book takes the view that ELT global coursebooks, in addition to being curriculum artefacts, are also highly wrought cultural artefacts which seek to make English mean in highly selective ways and it argues that the textual construction (and imaging) of English parallels the processes of commodity promotion more generally.
Construction Grammar explains how knowledge of language is organized in speakers' minds. The central and radical claim of Construction Grammar is that linguistic knowledge can be fully described as knowledge of constructions, which are defined as symbolic units that connect a linguistic form with meaning.
This work, first published in 1979, was a doctoral dissertation submitted to the Department of Foreign Literatures and Linguistics of the Massachusetts Institute of Technology on June 22nd 1973. The ostensible central topic of this essay is a construction which is generally known as the "pseudo-cleft" construction. This essay aims to provide an overall picture of the construction, and show why another treatment of it is necessary. This book will be of interest to those pursuing the topic of copular sentences.
This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. These endeavors have made new contribution to globalization and creating a community of shared future. To adapt to this changing world and China's fast development in this new area, the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022) is to be held in April 15-17, 2022. This conference takes “bringing together global wisdom in scientific innovation to promote high-quality development" as the theme and focuses on research fields including information technology, education, big data, and Internet. This conference aims to expand channels of international academic exchange in science and technology, build a sharing platform of academic resources, promote scientific innovation on the global scale, improve academic cooperation between China and the outside world. It also aims to encourage exchange of information on research frontiers in different fields, connect the most advanced academic resources in China and abroad, turn research results into industrial solutions, bring together talents, technologies and capital to boost development.
The Construction of Nationhood, first published in 1997, is a thorough re-analysis of both nationalism and nations. In particular it challenges the current 'modernist' orthodoxies of such writers as Eric Hobsbawm, Benedict Anderson and Ernest Gellner, and it offers a systematic critique of Hobsbawm's best-selling Nations and Nationalism since 1780. In opposition to a historiography which limits nations and nationalism to the eighteenth century and after, as an aspect of 'modernisation', Professor Hastings argues for a medieval origin to both, dependent upon biblical religion and the development of vernacular literatures. While theorists of nationhood have paid mostly scant attention to England, the development of the nation-state is seen here as central to the subject, but the analysis is carried forward to embrace many other examples, including Ireland, the South Slavs and modern Africa, before concluding with an overview of the impact of religion, contrasting Islam with Christianity, while evaluating the ability of each to support supra-national political communities.
This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.