封面

概况

书讯类型

【书名】：An Introduction to English Lexicology (3rd ed.)

【作者】：Howard Jackson, Etienne Zé Amvela

【年份】：2022年

【简介】：【团购资源】英语词汇学导论

Answering these questions and more, this book guides you through the key concepts in the lexicology of modern English. Providing an overview which encompasses all aspects of English vocabulary, this book explains the sources of modern English words and shows how the vocabulary has developed over time. Thoroughly updated throughout to keep pace with recent developments in the field, this third edition features:

- Enhanced chapters on vocabulary, dictionaries and investigative lexicology

- New sections on contemporary topics such as internet language, social media and youth culture

- Guides to new electronic resources and tools of analysis

- Exercises throughout each chapter, with an updated answer key

- A revised list of suggestions for further reading

Assuming no prior knowledge of linguistics, and featuring exercises and a fully updated glossary of lexicological terms to support your learning, An Introduction to English Lexicology is the only book you need to understand the basics of English lexicology.

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【书名】：Statistics in Corpus Linguistics Research: A New Approach     

【作者】：Sean Wallis

【年份】：2021年

【简介】：Traditional approaches focused on significance tests have often been difficult for linguistics researchers to visualise. Statistics in Corpus Linguistics Research: A New Approach breaks these significance tests down for researchers in corpus linguistics and linguistic analysis, promoting a visual approach to understanding the performance of tests with real data, and demonstrating how to derive new intervals and tests.

Accessibly written, this book discusses the ‘why’ behind the statistical model, allowing readers a greater facility for choosing their own methodologies. Accessibly written for those with little to no mathematical or statistical background, it explains the mathematical fundamentals of simple significance tests by relating them to confidence intervals. With sample datasets and easy-to-read visuals, this book focuses on practical issues, such as how to:

• pose research questions in terms of choice and constraint;

• employ confidence intervals correctly (including in graph plots);

• select optimal significance tests (and what results mean);

• measure the size of the effect of one variable on another;

• estimate the similarity of distribution patterns; and

• evaluate whether the results of two experiments significantly differ.

Appropriate for anyone from the student just beginning their career to the seasoned researcher, this book is both a practical overview and valuable resource.

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