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【书名】：Questions About Language: What Everyone Should Know About Language in the 21st Century

【作者】：Laurie Bauer, Andreea S. Calude主编

【年份】：2020年

【出版社】：Routledge出版社

【简介】：又多位作者合写的一本关于语言的科普小书，适合新人学生们阅读，老师们也可用作课外读物~

Questions About Language sets out to answer, in a readable yet insightful format, a series of vital questions about language, some of which language specialists are regularly asked, and some of which are so surprising that only the specialists think about them.

In this handy guide, sixteen language experts answer challenging questions about language, from What makes a language a language? to Do people swear because they don’t know enough words? Illustrating the complexity of human language, and the way in which we use it, the twelve chapters each end with a section on further reading for anyone interested in following up on the topic.

Covering core questions about language, this is essential reading for both students new to language and linguistics and the interested general reader.

此资源信息由LingLab合作伙伴“语言学小电”提供，感兴趣的老师和同学可添加“语言学小电”的微信13764179404进行咨询！

【书名】：Cognitive Discourse Analysis: An Introduction

【作者】：Thora Tenbrink

【年份】：2020年

【出版社】：剑桥大学出版社

【简介】：Analysing language data systematically and looking closely at how people formulate their thoughts can reveal astonishing insights about the human mind. Without presupposing specific subject knowledge, this book gently introduces its readers to theoretical insights as well as practical principles for systematic linguistic analysis from a cognitive perspective. Drawing on Thora Tenbrink's twenty years' experience in both linguistics and cognitive science, this book offers theoretical guidance and practical advice for doing cognitive discourse analysis. It covers areas of analysis as diverse as attention, perspective, granularity, certainty, inference, transformation, communication, and cognitive strategies, using inspiring examples from many different projects. Simple techniques and tools are used to allow readers new to the subject easy ways to apply the methods, without the need for complex technologies, whilst the cross-disciplinary approach can be applied to a diverse range of research purposes and contexts in which language and thought play a role.

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