Introduction To Quantitative Analysis Of Linguistic Survey Data

The chapters in this innovative book introduce the quantitative analysis of linguistic survey data with specific reference to the Linguistic Atlas of the Middle and South Atlantic States (LAMSAS). Topics covered include: the relation of sociolinguistics to the original conception of LAMSAS; the adaptation of LAMSAS to the needs of computerization and the research methods envisioned; the mechanics involved in computerizing LAMSAS; how to handle and analyze the data in the database management system; the creation of categories for analysis; and the logic of statistical testing.

The chapters in this innovative book introduce the quantitative analysis of linguistic survey data with specific reference to the Linguistic Atlas of the Middle and South Atlantic States (LAMSAS). The topics covered include the relation of sociolinguistics to the original conception of LAMSAS, the adaptation of LAMSAS to the needs of computerization and the research methods envisioned, the mechanics involved in computerizing LAMSAS, and much more.

Areas covered include the relation of sociolinguistics to the original concept of the Linguistic Atlas of Middle and South Atlantic States (LAMSAS), the mechanics of computerising LAMSAS, the creation of analysis categories and statistical testing.

The standard scientific methodology in linguistics is empirical testing of falsifiable hypotheses. As such the process of hypothesis generation is central, and involves formulation of a research question about a domain of interest and statement of a hypothesis relative to it. In corpus linguistics the domain is text, and generation involves abstraction of data from text, data analysis, and formulation of a hypothesis based on inference from the results. Traditionally this process has been paper-based, but the advent of electronic text has increasingly rendered it obsolete both because the size of digital corpora is now at or beyond the limit of what can efficiently be used in the traditional way, and because the complexity of data abstracted from them can be impenetrable to understanding. Linguists are increasingly turning to mathematical and statistical computational methods for help, and cluster analysis is such a method. It is used across the sciences for hypothesis generation by identification of structure in data which are too large or complex, or both, to be interpretable by direct inspection. This book aims to show how cluster analysis can be used for hypothesis generation in corpus linguistics, thereby contributing to a quantitative empirical methodology for the discipline.

Presents a comprehensive introduction to analysing quantitative linguistic data. Starting with an definition of quantitative data, and how it differs from qualitative data, Seb Rasinger examines what the student linguist is trying to find out through analysing data, and how quantitative techniques can help arrive at meaningful and accurate conclusions. This expanded, 2nd edition now also includes a discussion of Analysis of Variance (ANOVA) and MANOVA, and provides a brief introduction to statistical meta-analysis. A companion website allows readers to download crib sheets and Excel templates for the main statistical tools. The book introduces: -using statistics -variables -reliability of data -describing data -analysing data -testing hypotheses -dealing with problematic data. Each chapter includes graphs and figures explaining theory through worked examples, chapter summaries, and exercises to aid student understanding. An appendix containing a summary of statistical formulae, excel commands and statistical tables is included and is an invaluable resource. Presenting a down-to-earth and readable introduction to quantitative research, this book is a useful how-to guide for students encountering quantitative data for the first time, or for postgraduates embarking on linguistic research projects.

Top linguists from diverse fields address language varieties in the South. Language Variety in the South Revisited is a comprehensive collection of new research on southern United States English by foremost scholars of regional language variation. Like its predecessor, Language Variety in the South: Perspectives in Black and White (The University of Alabama Press, 1986), this book includes current research into African American vernacular English, but it greatly expands the scope of investigation and offers an extensive assessment of the field. The volume encompasses studies of contact involving African and European languages; analysis of discourse, pragmatic, lexical, phonological, and syntactic features; and evaluations of methods of collecting and examining data. The 38 essays not only offer a wealth of information about southern language varieties but also serve as models for regional linguistic investigation.

Reflecting a multitude of developments in the study of language change and variation over the last ten years, this extensively updated second edition features a number of new chapters and remains the authoritative reference volume on a core research area in linguistics. A fully revised and expanded edition of this acclaimed reference work, which has established its reputation based on its unrivalled scope and depth of analysis in this interdisciplinary field Includes seven new chapters, while the remainder have undergone thorough revision and updating to incorporate the latest research and reflect numerous developments in the field Accessibly structured by theme, covering topics including data collection and evaluation, linguistic structure, language and time, language contact, language domains, and social differentiation Brings together an experienced, international editorial and contributor team to provides an unrivalled learning, teaching and reference tool for researchers and students in sociolinguistics

Self-Organising Maps: Applications in GI Science brings together the latest geographical research where extensive use has been made of the SOM algorithm, and provides readers with a snapshot of these tools that can then be adapted and used in new research projects. The book begins with an overview of the SOM technique and the most commonly used (and freely available) software; it is then sectioned to look at the different uses of the technique, namely clustering, data mining and cartography, from a range of application-areas in the biophysical and socio-economic environments. Only book that takes SOM algorithm to the GIS and Geography research communities The Editors draw together expert contributors from the UK, Europe, USA, New Zealand, and South Africa Covers a range of techniques in clustering, data mining cartography, all featuring an appropriate case study