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"Linguistics Methodology."
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Diachronic Treebanks for Historical Linguistics
by
Luraghi, Silvia
,
Eckhoff, Hanne Martine
,
Passarotti, Marco
in
Computational & corpus linguistics
,
Computational linguistics -- Methodology
,
Corpora (Linguistics) -- Data processing
2020
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).
Research methods in linguistics
\"How do you approach research for the first time? What method is best for you? Covering topics such as developing research questions, corpus analysis and quantitative, qualitative and combined methods and designs, this book guides you through all the main issues, techniques and approaches to developing your research. Expanded throughout, this second edition features: - New chapters on ethics and transcription - Case studies in linguistic research - Further reading, online resources and a glossary of key terms Providing clear introductions to key concepts and discussions, this book takes you step-by-step through topics like how to conduct your own focus groups and interviews, how to build case studies and how to make sense of your data. Guiding you towards the research methods most appropriate to your work, and explaining them in detail, this is the only book you need in linguistic research methods\"-- Provided by publisher.
Practical corpus linguistics : an introduction to corpus-based language analysis
by
Weisser, Martin
in
Citation of electronic information resources
,
Computational linguisitics -- Methodology
,
Computer network resources -- Evaluation
2016,2015
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
Insights from Practices in Community-Based Research
by
Jany, Carmen
,
Bischoff, Shannon T.
in
Anthropological linguistics
,
Anthropology
,
Community Engagement
2018
The series publishes state-of-the-art work on core areas of linguistics across theoretical frameworks as well as studies that provide new insights by building bridges to neighbouring fields such as neuroscience and cognitive science. The series considers itself a forum for cutting-edge research based on solid empirical data on language in its various manifestations, including sign languages. It regards linguistic variation in its synchronic and diachronic dimensions as well as in its social contexts as important sources of insight for a better understanding of the design of linguistic systems and the ecology and evolution of language.
How to do linguistics with R : data exploration and statistical analysis
by
Levshina, Natalia
in
Cognition and language
,
Computational & corpus linguistics
,
Computational linguistics
2015
This book provides a linguist with a statistical toolkit for exploration and analysis of linguistic data. It employs R, a free software environment for statistical computing, which is increasingly popular among linguists. How to do Linguistics with R: Data exploration and statistical analysis is unique in its scope, as it covers a wide range of classical and cutting-edge statistical methods, including different flavours of regression analysis and ANOVA, random forests and conditional inference trees, as well as specific linguistic approaches, among which are Behavioural Profiles, Vector Space Models and various measures of association between words and constructions. The statistical topics are presented comprehensively, but without too much technical detail, and illustrated with linguistic case studies that answer non-trivial research questions. The book also demonstrates how to visualize linguistic data with the help of attractive informative graphs, including the popular ggplot2 system and Google visualization tools.This book has a companion website: http://doi.org/10.1075/z.195.website
Food culture
by
Chrzan, Janet
,
Brett, John A
in
Anthropological linguistics
,
Anthropological linguistics -- Research -- Methodology
,
Anthropology (General)
2017,2022
This volume offers a comprehensive guide to methods used in the sociocultural, linguistic and historical research of food use. This volume is unique in offering food-related research methods from multiple academic disciplines, and includes methods that bridge disciplines to provide a thorough review of best practices. In each chapter, a case study from the author's own work is to illustrate why the methods were adopted in that particular case along with abundant additional resources to further develop and explore the methods.