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Literary data is supposed to reflect real life situations and is at the same time written in a style of writing that is considered as highly elevated. Such reasons have prompted the contributors to this book to deal with this type of data. Such attempts range from semantics to stylistics and pragmatics. This book introduces linguistic analyses of literary data from different points of view. This involves dealing with various linguistic topics and different types of literary data. Hence, many models are presented to analyze the linguistic aspects of those topics in the light of the genre in which those topics are undertaken. Accordingly, different results are yielded from those analyses and this makes each type of analysis distinct from the other ones. It is hoped that this work will be a useful source to all those – whether theoretically, practically, or both – interested in linguistics, pragmatics of literature, applied linguistics and literary stylistics.
Literary data is supposed to reflect real life situations and is at the same time written in a style of writing that is considered as highly elevated. Such reasons have prompted the contributors to this book to deal with this type of data. Such attempts range from semantics to stylistics and pragmatics. This book introduces linguistic analyses of literary data from different points of view. This involves dealing with various linguistic topics and different types of literary data. Hence, many models are presented to analyze the linguistic aspects of those topics in the light of the genre in which those topics are undertaken. Accordingly, different results are yielded from those analyses and this makes each type of analysis distinct from the other ones. It is hoped that this work will be a useful source to all those – whether theoretically, practically, or both – interested in linguistics, pragmatics of literature, applied linguistics and literary stylistics.
Statistical analysis is a useful skill for linguists and psycholinguists, allowing them to understand the quantitative structure of their data. This textbook provides a straightforward introduction to the statistical analysis of language. Designed for linguists with a non-mathematical background, it clearly introduces the basic principles and methods of statistical analysis, using 'R', the leading computational statistics programme. The reader is guided step-by-step through a range of real data sets, allowing them to analyse acoustic data, construct grammatical trees for a variety of languages, quantify register variation in corpus linguistics, and measure experimental data using state-of-the-art models. The visualization of data plays a key role, both in the initial stages of data exploration and later on when the reader is encouraged to criticize various models. Containing over 40 exercises with model answers, this book will be welcomed by all linguists wishing to learn more about working with and presenting quantitative data.
This handbook compares the main analytic frameworks and methods of contemporary linguistics. It offers a unique overview of linguistic theory, revealing the common concerns of competing approaches. By showing their current and potential applications it provides the means by which linguists and others can judge what are the most useful models for the task in hand. Distinguished scholars from all over the world explain the rationale and aims of over thirty explanatory approaches to the description, analysis, and understanding of language. Each chapter considers the main goals of the model; the relation it proposes from between lexicon, syntax, semantics, pragmatics, and phonology; the way it defines the interactions between cognition and grammar; what it counts as evidence; and how it explains linguistic change and structure. The Oxford Handbook of Linguistic Analysis offers an indispensable guide for everyone researching any aspect of language including those in linguistics, comparative philology, cognitive science, developmental philology, cognitive science, developmental psychology, computational science, and artificial intelligence. This second edition has been updated to include seven new chapters looking at linguistic units in language acquisition, conversation analysis, neurolinguistics, experimental phonetics, phonological analysis, experimental semantics, and distributional typology.
Introducing Electronic Text Analysis is a practical and much needed introduction to corpora – bodies of linguistic data. Written specifically for students studying this topic for the first time, the book begins with a discussion of the underlying principles of electronic text analysis. It then examines how these corpora enhance our understanding of literary and non-literary works. In the first section the author introduces the concepts of concordance and lexical frequency, concepts which are then applied to a range of areas of language study. Key areas examined are the use of on-line corpora to complement traditional stylistic analysis, and the ways in which methods such as concordance and frequency counts can reveal a particular ideology within a text. Presenting an accessible and thorough understanding of the underlying principles of electronic text analysis, the book contains abundant illustrative examples and a glossary with definitions of main concepts. It will also be supported by a companion website with links to on-line corpora so that students can apply their knowledge to further study. The accompanying website to this book can be found at http://www.routledge.com/textbooks/0415320216
Publisher Description
This book focusses on computer methodologies as a way of investigating language and character in literary texts. Both theoretical and practical, it surveys investigations into characterization in literary linguistics and personality in social psychology, before carrying out a computational analysis of Virginia Woolf's experimental novel The Waves. Frequencies of grammatical and semantic categories in the language of the six speaking characters are analyzed using Wmatrix software developed by UCREL at Lancaster University. The quantitative analysis is supplemented by a qualitative analysis into recurring patterns of metaphor. The author concludes that these analyses successfully differentiate all six characters, both synchronically and diachronically, and claims that this methodology is also applicable to the study of personality in non-literary language. The book, written in a clear and accessible style, will be of interest to post-graduate students and academics in linguistics, stylistics, literary studies, psychology and also computational approaches.
Contemporary data analytics involves extracting insights from data and translating them into action. With its turn towards empirical methods and convergent data sources, cognitive linguistics is a fertile context for data analytics. There are key differences between data analytics and statistical analysis as typically conceived. Though the former requires the latter, it emphasizes the role of domain-specific knowledge. Statistical analysis also tends to be associated with preconceived hypotheses and controlled data. Data analytics, on the other hand, can help explore unstructured datasets and inspire emergent questions. This volume addresses two key aspects in data analytics for cognitive linguistic work. Firstly, it elaborates the bottom-up guiding role of data analytics in the research trajectory, and how it helps to formulate and refine questions. Secondly, it shows how data analytics can suggest concrete courses of research-based action, which is crucial for cognitive linguistics to be truly applied. The papers in this volume impart various data analytic methods and report empirical studies across different areas of research and application. They aim to benefit new and experienced researchers alike.
This is an engaging interdisciplinary guide to the unique role of language within ethnography. The book provides a philosophical overview of the field alongside practical support for designing and developing your own ethnographic research. It demonstrates how to build and develop arguments and engages with practical issues such as ethics, transcription and impact. There are chapter-long case studies based on real research that will explain key themes and help you create and analyse your own linguistic data. Drawing on the authors’ experience they outline the practical, epistemological and theoretical decisions that researchers must take when planning and carrying out their studies. Other key features include: A clear introduction to discourse analytic traditions Tips on how to produce effective field notes Guidance on how to manage interview and conversational data Advice on writing linguistic ethnographies for different audiences Annotated suggestions for further reading Full glossary This book is a master class in understanding linguistic ethnography, it will of interest to anyone conducting field research across the social sciences.