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The use of corpus data in languages other than English has become increasingly important in recent years, and as a result has given rise to a growing body of research and applications in multilingual corpus linguistics. This book collects together a selection of papers which have made use of multilingual corpus data in language teaching, as well as linguistic research. The corpora described in this book include data in a variety of languages, including Swedish, Chinese, German and Italian, and the contributors include well known scholars in the fields of corpus linguistics and corpus-based language teaching.
While native corpora and corpus linguistic tools and methods have been used and applied for quite some time in the development of learning and teaching materials, learner corpora are only just beginning to impact the field of language teaching, testing and assessment. This volume helps to close this still existing gap and highlights the great potential of learner corpus research for language pedagogy by presenting a selection of 11 original studies on learner corpora, conducted by established experts as well as by excellent young researchers. The papers included in the volume present new corpora and methods; studies on written as well as spoken learner corpora and on using data-driven learning scenarios in the classroom. All papers include sections on practical and concrete language-pedagogical applications. This volume will be of significant interest to researchers working in corpus linguistics, learner corpus research, second language acquisition and English for Academic and Specific Purposes, as well to language teachers and materials developers.
The Routledge Handbook of Corpora and English Language Teaching and Learning provides a wide-ranging and authoritative overview of the latest developments and innovations in how corpus approaches, corpus technologies, and corpus data can inform and transform English language teaching and learning. Featuring a broad range of international experts, the Handbook presents state-of-the-art scholarship and inspires new avenues for research focusing on six key areas: English language teaching and learning informed by language corpora; corpora in syllabus and materials design; corpora and English for specific and academic purposes; learner corpora for English language teaching; data-driven learning; and corpora and corpus tools for language teaching. Unique to this pioneering volume, the authors cover key areas at the cross-roads of corpus research and English language teaching by drawing on cutting-edge corpus applications, methods, and pedagogical approaches, hence, bridging the research–practice gap in the field. This Handbook is a collection of novel contributions offering essential reading for those researching and studying English language teaching and learning through the application of corpus approaches.
In recent years, corpora have found their way into language instruction, albeit often indirectly, through their role in syllabus and course design and in the production of teaching materials and other resources. An alternative and more innovative use is for teachers and students alike to explore corpus data directly as part of the learning process. This volume addresses this latter application of corpora by providing research insights firmly based in the classroom context and reporting on several state-of-the-art projects around the world where learners have direct access to corpus resources and tools and utilize them to improve their control of the language systems and skills or their professional expertise as translators. Its aim is to present recent advances in data-driven learning, addressing issues involving different types of corpora, for different learner profiles, in different ways for different purposes, and using a variety of different research methodologies and perspectives.
Corpus-aided language pedagogy is one of the central application areas of corpus methodologies, and a test bed for theories of language and learning. This volume provides an overview of current trends, offering methodological and theoretical position statements along with results from empirical studies. The relationship between corpora and learning is examined from complementary perspectives — the study of learner language, the didactic use of corpus findings, and the interaction between corpora and their users. Reflections on current theory and technology open and close the volume.With its focus on the learner and the learning setting, Corpora and Language Learners is addressed to corpus linguists with an interest in learner language, applied linguists wishing to expand their understanding of corpora and their pedagogic potential, and language teachers wishing to critically assess the relevance of work in this field. This volume grew out of selected presentations at the 5th Teaching and Language Corpora conference in Bertinoro, Italy.
This volume deals with different aspects of the creation and use of multilingual corpora. The term 'multilingual corpus' is understood in a comprehensive sense, meaning any systematic collection of empirical language data enabling linguists to carry out analyses of multilingual individuals, multilingual societies or multilingual communication. The individual contributions are thus concerned with a variety of spoken and written corpora ranging from learner and attrition corpora, language contact corpora and interpreting corpora to comparable and parallel corpora. The overarching aim of the volume is first to take stock of the variety of existing multilingual corpora, documenting possible corpus designs and uses, second to discuss methodological and technological challenges in the creation and analysis of multilingual corpora, and third to provide examples of linguistic analyses that were carried out on the basis of multilingual corpora.
The Routledge Handbook of Corpus Linguistics provides a timely overview of a dynamic and rapidly growing area with a widely applied methodology. Through the electronic analysis of large bodies of text, corpus linguistics demonstrates and supports linguistic statements and assumptions. In recent years it has seen an ever-widening application in a variety of fields: computational linguistics, discourse analysis, forensic linguistics, pragmatics and translation studies. Bringing together experts in the key areas of development and change, the handbook is structured around six themes which take the reader through building and designing a corpus to using a corpus to study literature and translation. A comprehensive introduction covers the historical development of the field and its growing influence and application in other areas. Structured around five headings for ease of reference, each contribution includes further reading sections with three to five key texts highlighted and annotated to facilitate further exploration of the topics. The Routledge Handbook of Corpus Linguistics is the ideal resource for advanced undergraduates and postgraduates.
A compilation of research exploring different ways to apply corpus-based and corpus-informed approaches to English language teaching.
In over 30 years of data-driven learning (DDL) research, there has been a growing sophistication in the ways we collect, analyse, and put corpus data to use. This volume takes a three-fold perspective on DDL. It first looks at DDL and its role in informing language learning theory and how it might shed light on the language development process; secondly it addresses how DDL can help us characterise learner language and inform teaching accordingly, and thirdly it showcases practical applications for the use of DDL in classrooms. The contributors to this volume examine a variety of instructional settings and languages across the world. They reflect on theoretical, methodological and classroom implications using both novel and established language learning theories, natural language processing (NLP), longitudinal research designs, and a variety of language learning targets. The present volume is an invitation from some of the leading researchers in DDL to reflect on the research avenues that will define the field in the coming years.
Covering the major approaches to the use of corpus data, this work gathers together influential readings from leading names in the discipline, including Biber, Widdowson, Sinclair, Carter and McCarthy.