With fresh state-of-the-art perspectives on language patterning, this volume showcases studies that recognize and provide evidence for the inseparability of lexis and grammar. The contributors explore in what ways these two areas, often treated separately in linguistic theory and description, form an organic whole.

This book contains the first in-depth corpus-based description of structural nativization at the lexis-grammar interface in Indian English, the largest institutionalized second-language variety of English world-wide. For a set of three ditransitive verbs give, send and offer –collocational patterns, verb-complementational preferences and correlations between collocational and verb-complementational routines are described. The present study is based on the comparison of the Indian and the British components of the International Corpus of English as well as a 100-million-word web-derived corpus of acrolectal Indian newspaper language and corresponding parts of the British National Corpus. The present corpus-based 'thick description' of lexicogrammatical routines provides new perspectives on the emergence of new routines and patternings in Indian English and is conceptually and methodologically relevant for research into varieties of English worldwide.

The present volume includes a selection of 20 papers from the 31st Annual Conference of the International Computer Archive of Modern and Medieval English (ICAME), held in Giessen (Germany) in May 2010. The conference topic was “Corpus linguistics and variation in English”. All the papers included in the present Conference Proceedings capture aspects of variation in language use on the basis of corpus analyses, providing new descriptive insights, and/or new methods of utilising corpora for the description of language variation. Of particular interest are the five plenary papers that are included in the present volume, focusing on corpus-based approaches to variation in language from different disciplinary perspectives: Stefan Th. Gries (quantitative-statistical descriptions of variation and corpora), Michaela Mahlberg (stylistic variation and corpora), Miriam Meyerhoff (variational sociolinguistics and corpora), Edgar W. Schneider (regional variation and corpora) and Elizabeth C. Traugott (historical variation/grammaticalization and corpora).

This volume presents a collection of papers from the second Interfaces in Language conference, hosted from 5–7 May 2009 at the University of Kent at Canterbury by the University’s Centre for Language and Lingustic Studies (CLLS). Borne of a dissatisfaction with the rigid division of linguistics into sub-disciplines, Interfaces 2 offered specialists a platform to explore links between different approaches, and attracted participation from ten countries on four continents, addressing a wide range of themes. Contributions are arranged under three thematic headings: Categories and Orthodoxies; Contact, Conflict and Repertoire; and Language and Cognition. All, in their different ways, offer a challenge to received thinking or the rigidity of established categories. The papers explore a range of linguistic interfaces, probing the frontiers at the structural level between semantics and pragmatics, or challenging the notion of a clear division between semantics and syntax. A number of papers examine, in different ways, the interface between speech and writing, while other contributors apply the techniques of linguistic analysis to the study of translation, or to the stylistics of literature or journalism. The rejection of rigid modes of thinking has produced, in Interfaces in Language 2, an eclectic collection of thought-provoking papers of rare originality and quality.

This book shows that over forty years of psychological laboratory-based research support the claims of the Lexical Priming Theory. It examines how Lexical Priming applies to the use of spoken English as the book provides evidence that Lexical Priming is found in everyday spoken conversations.

This book explores the interconnections between linguistics and Artificial Intelligence (AI) research, their mutually influential theories and developments, and the areas where these two groups can still learn from each other. It begins with a brief history of artificial intelligence theories focusing on figures including Alan Turing and M. Ross Quillian and the key concepts of priming, spread-activation and the semantic web. The author details the origins of the theory of lexical priming in early AI research and how it can be used to explain structures of language that corpus linguists have uncovered. He explores how the idea of mirroring the mind’s language processing has been adopted to create machines that can be taught to listen and understand human speech in a way that goes beyond a fixed set of commands. In doing so, he reveals how the latest research into the semantic web and Natural Language Processing has developed from its early roots. The book moves on to describe how the technology has evolved with the adoption of inference concepts, probabilistic grammar models, and deep neural networks in order to fine-tune the latest language-processing and translation tools. This engaging book offers thought-provoking insights to corpus linguists, computational linguists and those working in AI and NLP.

This book provides a comprehensive overview of pedagogical grammar research and explores its implications for the teaching of grammar in second language classrooms. Drawing on several research domains (e.g., corpus linguistics, task-based language teaching) and a number of theoretical orientations (e.g., cognitive, sociocultural), the book proposes a framework for pedagogical grammar which brings together three major areas of inquiry: (1) descriptions of grammar in use, (2) descriptions of grammar acquisition processes, and (3) investigations of the relative effectiveness of different approaches to L2 grammar instruction. The book balances research and theory with practical discussions of the decisions that teachers must make on a daily basis, offering guidance in such areas as materials development, data-driven learning, task design, and classroom assessment.