The study of how words are represented and processed in the mind has served as a meeting ground for research in psychology, linguistics, and neuroscience. Right now, this domain of study is in the midst of astonishing developments. At the core of these developments are the methodological and analytic advancements that have enabled researchers to address new phenomena and to ask new questions. These new methodologies have also raised fundamental questions concerning the nature of words in the mind, the nature of language processing, and the ways in which data can be understood. This book provides a timely resource written by international leaders in methodological innovation. It offers fundamental insights into how innovative methodological approaches advance lexical research. It also offers the technical knowledge that is essential to that advancement, but which is rarely found in journal reports. This is a methodologically oriented volume designed to be informative, thought provoking, innovative, and perhaps also revolutionary. The contributions in this volume that originally appeared in The Mental Lexicon 5:3 (2010) and 6:1 (2011) are supplemented with several new chapters, as well as with a new and timely introductory chapter titled "Embracing Complexity".

Currents in Language Learning is a biennial book series published by Wiley and the Language Learning Research Club at the University of Michigan. It provides programmatic state-of-the-art overviews of current issues in the language sciences and their applications in first, second, and bi/multilingual language acquisition in naturalistic and tutored contexts. It brings together disciplinary perspectives from linguistics, psychology, education, anthropology, sociology, cognitive science, and neuroscience.

This single-volume guide equips students of sociolinguistics with a full set of methodological tools including data collection and analysis techniques, explained in clear and accessible terms by leading experts. It features project suggestions, troubleshooting tips, and data assessment across diverse languages. Explores an array of anthropological and scientific methods that cover the full spectrum of contemporary sociolinguistics, from the study of style and discourse analysis to the study of phonetics Details the types of data available, and explains collection methods ranging from sociolinguistic interviews to linguistic landscapes Provides comprehensive coverage of data analysis, subdivided into segments on linguistic and socio-cultural techniques, and linked to numerous languages Includes useful summaries, seasoned advice and troubleshooting tips, ideas for research projects, and a full directory of supplementary reading

Methodological know-how has become one of the key qualifications in contemporary linguistics, which has a strong empirical focus. Containing 23 chapters, each devoted to a different research method, this volume brings together the expertise and insight of a range of established practitioners. The chapters are arranged in three parts, devoted to three different stages of empirical research: data collection, analysis and evaluation. In addition to detailed step-by-step introductions and illustrative case studies focusing on variation and change in English, each chapter addresses the strengths and weaknesses of the methodology and concludes with suggestions for further reading. This systematic, state-of-the-art survey is ideal for both novice researchers and professionals interested in extending their methodological repertoires. The book also has a companion website which provides readers with further information, links, resources, demonstrations, exercises and case studies related to each chapter.

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.

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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