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Practical corpus linguistics : an introduction to corpus-based language analysis
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
eBook
Situated politeness
Pragmatic and sociolinguistic analyses of im/politeness have usually been dependent on context and cultural frames of reference. This study approached the concept from an original perspective, namely situatedness.
Book
Frequency, dispersion, association, and keyness : revising and tupleizing corpus-linguistic measures
This book is an attempt to revisit the main specifically corpus-linguistic statistics/measures the field has been relying on for decades: frequency, dispersion, association, and keyness. The book first discusses the purpose of these measures and how they have been measured. Then, the book makes three main proposals: First, that many measures of dispersion, association, and keyness are too confounded with frequency and how to 'take frequency out of them' to obtain conceptually cleaner and more interpretable measures. Second, that many existing measures can be replaced by the simple information-theoretic measure of the Kullback-Leibler divergence and that it, too, can have frequency 'removed' from it. Third, that corpus linguistics should abandon the tradition of trying to describe its findings with a single number and adopt a tupleization approach instead, where we use several separate dimensions of information for description and interpretation. The book is written in an informal, hands-on style and comes with its own R package featuring functions, example data, and several thousand lines of code exemplifying all applications.
eBook
Constraints on Language Variation and Change in Complex Multilingual Contact Settings
Constraints on Language Variation and Change in Complex Multilingual Contact Settings explores an innovative proposal: that linguistic similarities identified in different forms of contact-influenced varieties of language use can be accounted for in a coherent framework grounded in the notion of 'constrained communication'.
eBook
Computational Paralinguistics
This book presents the methods, tools and techniques that are currently being used to recognise (automatically) the affect, emotion, personality and everything else beyond linguistics ('paralinguistics') expressed by or embedded in human speech and language. It is the first book to provide such a systematic survey of paralinguistics in speech and language processing. The technology described has evolved mainly from automatic speech and speaker recognition and processing, but also takes into account recent developments within speech signal processing, machine intelligence and data mining. Moreover, the book offers a hands-on approach by integrating actual data sets, software, and open-source utilities which will make the book invaluable as a teaching tool and similarly useful for those professionals already in the field. Key features: * Provides an integrated presentation of basic research (in phonetics/linguistics and humanities) with state-of-the-art engineering approaches for speech signal processing and machine intelligence. * Explains the history and state of the art of all of the sub-fields which contribute to the topic of computational paralinguistics. * C overs the signal processing and machine learning aspects of the actual computational modelling of emotion and personality and explains the detection process from corpus collection to feature extraction and from model testing to system integration. * Details aspects of real-world system integration including distribution, weakly supervised learning and confidence measures. * Outlines machine learning approaches including static, dynamic and context?sensitive algorithms for classification and regression. * Includes a tutorial on freely available toolkits, such as the open-source 'openEAR' toolkit for emotion and affect recognition co-developed by one of the authors, and a listing of standard databases and feature sets used in the field to allow for immediate experimentation enabling the reader to build an emotion detection model on an existing corpus.
eBook
Diachronic Treebanks for Historical Linguistics
Diachronic treebanks allow for a new approach to diachronic studies of syntactic phenomena. These papers report research on various diachronic matters supported such by evidence, covering a wide range of languages, including English, French, Russian, Latin and Ancient Greek. Originally published as Diachronica 35:3 (2018).
eBook