This is the first book of its kind to provide a practical and student-friendly guide to corpus linguistics that explains the nature of electronic data and how it can be collected and analyzed. Designed to equip readers with the technical skills necessary to analyze and interpret language data, both written and (orthographically) transcribed Introduces a number of easy-to-use, yet powerful, free analysis resources consisting of standalone programs and web interfaces for use with Windows, Mac OS X, and Linux Each section includes practical exercises, a list of sources and further reading, and illustrated step-by-step introductions to analysis tools Requires only a basic knowledge of computer concepts in order to develop the specific linguistic analysis skills required for understanding/analyzing corpus data

This handbook is a comprehensive practical resource on corpus linguistics. It features a range of basic and advanced approaches, methods and techniques in corpus linguistics, from corpus compilation principles to quantitative data analyses. The Handbook is organized in six Parts. Parts I to III feature chapters that discuss key issues and the know-how related to various topics around corpus design, methods and corpus types. Parts IV-V aim to offer a user-friendly introduction to the quantitative analysis of corpus data: for each statistical technique discussed, chapters provide a practical guide with R and come with supplementary online material. Part VI focuses on how to write a corpus linguistic paper and how to meta-analyze corpus linguistic research. The volume can serve as a course book as well as for individual study. It will be an essential reading for students of corpus linguistics as well as experienced researchers who want to expand their knowledge of the field.

Corpus linguistics is the study of language data on a large scale - the computer-aided analysis of very extensive collections of transcribed utterances or written texts. This textbook outlines the basic methods of corpus linguistics, explains how the discipline of corpus linguistics developed and surveys the major approaches to the use of corpus data. It uses a broad range of examples to show how corpus data has led to methodological and theoretical innovation in linguistics in general. Clear and detailed explanations lay out the key issues of method and theory in contemporary corpus linguistics. A structured and coherent narrative links the historical development of the field to current topics in 'mainstream' linguistics. Practical tasks and questions for discussion at the end of each chapter encourage students to test their understanding of what they have read and an extensive glossary provides easy access to definitions of technical terms used in the text.

The first textbook of its kind, Quantitative Corpus Linguistics with R demonstrates how to use the open source programming language R for corpus linguistic analyses. Computational and corpus linguists doing corpus work will find that R provides an enormous range of functions that currently require several programs to achieve – searching and processing corpora, arranging and outputting the results of corpus searches, statistical evaluation, and graphing.

This volume provides an overview of four currently booming areas in the discipline of corpus linguistics. The first section is concerned with studies of the history and development of morphological and syntactic phenomena in English, Spanish, and Mandarin Chinese. The second section contains case studies investigating the functions and contexts of use of different morphological and syntactic forms in English, Spanish, Russian, and Mandarin Chinese. The third section contains studies in the field of genre and register from settings as diverse as health, call center, academic, and legal discourse. The final section features papers refining existing, and exploring new, corpus-linguistic methods: dispersions, text mining, corpus similarity, as well as the development of extraction patterns and the evaluation of tagging methods.

Corpora are used widely in linguistics, but not always wisely. This book attempts to frame corpus linguistics systematically as a variant of the observational method. The first part introduces the reader to the general methodological discussions surrounding corpus data as well as the practice of doing corpus linguistics, including issues such as the scientific research cycle, research design, extraction of corpus data and statistical evaluation. The second part consists of a number of case studies from the main areas of corpus linguistics (lexical associations, morphology, grammar, text and metaphor), surveying the range of issues studied in corpus linguistics while at the same time showing how they fit into the methodology outlined in the first part.

A comprehensive and accessible introduction to statistics in corpus linguistics, covering multiple techniques of quantitative language analysis and data visualisation.

After decades of being overlooked, corpus evidence is becoming an important component of the teaching and learning of languages. Above all, the profession needs guidance in the practicalities of using corpora, interpreting the results and applying them to the problems and opportunities of the classroom. This book is intensely practical, written mainly by a new generation of language teachers who are acknowledged experts in central aspects of the discipline. It offers advice on what to do in the classroom, how to cope with teachers' queries about language, what corpora to use including learner corpora and spoken corpora and how to handle the variability of language; it reports on some current research and explains how the access software is constructed, including an opportunity for the practitioner to write small but useful programs; and it takes a look into the future of corpora in language teaching.

This book presents a richly illustrated, hands-on discussion of one of the fastest growing fields in linguistics today. The authors address key methodological issues in corpus linguistics, such as collocations, keywords and the categorization of concordance lines. They show how these topics can be explored step-by-step with BNCweb, a user-friendly web-based tool that supports sophisticated analyses of the 100-million-word British National Corpus. Indeed, the BNC and BNCweb have been described by Geoffrey Leech as «an unparalleled combination of facilities for finding out about the English language of the present day» (Foreword). The book contains tasks and exercises, and is suitable for undergraduates, postgraduates and experienced corpus users alike.

Routledge Introductions to Applied Linguistics consists of introductory level textbooks covering the core topics in Applied Linguistics, designed for those entering postgraduate studies and language professionals returning to academic study. The books take an innovative "practice to theory" approach, with a ‘back to front’ structure which takes the reader from real life problems and issues in the field, then enters into a discussion of intervention and how to engage with these concerns. The final section concludes by tying the practical issues to theoretical foundations. Additional features include tasks with commentaries, a glossary of key terms, and an annotated further reading section. Corpus linguistics is a key area of applied linguistics and one of the most rapidly developing. Winnie Cheng’s practical approach guides readers in acquiring the relevant knowledge and theories to enable the analysis, explanation and interpretation of language using corpus methods. Throughout the book practical classroom examples, concordance based analyses and tasks such as designing and conducting mini-projects are used to connect and explain the conceptual and practical aspects of corpus linguistics. Exploring Corpus Linguistics is an essential textbook for post-graduate/graduate students new to the field and for advanced undergraduates studying English Language and Applied Linguistics.