语料库语言学入门(当代国外语言学与应用语言学文库)
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品牌: 肯尼迪著
基本信息·出版社：外语教学与研究出版社
·ISBN：7560019919
·条形码：9787560019918
·包装版本：1
·装帧：平装
·丛书名：当代国外语言学与应用语言学文库
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内容简介The use of large. computerized bodies of text for linguistic analysis and description has energed in recent years as one of the most significant and rapildiy-developing fields of activity in the study of language. This book provides a comprehensive introduction and guide to Corpus Linguistics. All aspects of the field are explored. from the various types of electronic corpora that are available to instructions on how to design and compile a corpus. Graeme Kennedy surveys the development of corpora for use in linguistic research, looking back to the pre-electronic age as well as to the massive growth of computer corpora in the electronic age. The study focuses primarily on corpus-based descriptions of English: lexis, morphology. syntax and variation. It includes a wide-rangling overview of the published research of corpus linguists to illustrate the results and potential of distributional analyses of Eglish. The section on corpus analysis describes the methodology and procedures that are generally employed including lemmatization, tagging, parsing and the use of important search and retrieveal sofrware to produce word-lists. concordances and other analyses of languages may contribute to linguistic theory. the description of languages, computational linguistics and language leaching. An Introduction to Corpus Linguistics will appeal to all involved in the study of language, from english language teachers and students of linguistics to those already involved in research in this fast-growing field. Graeme Kenned is Professor of Applied Linguistics at Victoria University of Wellington.
目录
王宗炎序
导读
Author's acknowledgements
Publisher's acknowledgements
CHAPTER ONE:Introduction
CHAPTER TWO:The design and development of corpora
CHAPTER THREE:Corpus-based descriptions of English
CHAPTER FOUR:Corpus analysis
CHAPTER FIVE:Implications and applications of corpus-based analysis
References
Index
文库索引
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