The question of what types of data and evidence can be used is one of the most important topics in linguistics. This book is the first to comprehensively present the methodological problems associated with linguistic data and evidence. Its originality is twofold. First, the authors' approach accounts for a series of unexplained characteristics of linguistic theorising: the uncertainty and diversity of data, the role of evidence in the evaluation of hypotheses, the problem solving strategies as well as the emergence and resolution of inconsistencies. Second, the findings are obtained by the application of a new model of plausible argumentation which is also of relevance from a general argumentation theoretical point of view. All concepts and theses are systematically introduced and illustrated by a number of examples from different linguistic theories, and a detailed case-study section shows how the proposed model can be applied to specific linguistic problems.

This volume further elaborates the empirical tradition of Columbia School (CS) Linguistics by offering diverse empirical analyses for a wide variety of languages. These studies open a much needed debate advocating the necessity of the independent validation of linguistic hypotheses. This research exemplifies how such a validation should be conducted by determining which forms underlie the analyses and extracting those observations that are considered to be objective. The volume consists of two parts: a section on synchronic and diachronic grammatical problems and a section on Phonology as Human Behavior (PHB), the Columbia School version of phonology, applied to evolutionary, developmental and clinical issues and the phonotactics of the selected lexicon of a literary text. It provides a wealth of useful empirical data and in-depth and sophisticated qualitative and quantitative analyses of a broad range of languages from diverse families: French, Spanish, Afrikaans, Dutch, English, Polish, Russian, Japanese, and Hebrew.

Cognitive linguistics has an honourable tradition of paying respect to naturally occurring language data and there have been fruitful interactions between corpus data and aspects of linguistic structure and meaning. More recently, dialect data and sociolinguistic data collection methods/theoretical concepts have started to generate interest. There has also been an increase in several kinds of experimental work. However, not all linguistic data is simply naturally occurring or derived from experiments with statistically robust samples of speakers. Other traditions, especially the generative tradition, have fruitfully used introspection and questions about the grammaticality of different strings to uncover patterns which might otherwise have gone unnoticed. The divide between generative and cognitive approaches to language is intimately connected to the kinds of data drawn on, and the way in which generalisations are derived from these data. The papers in this volume explore these issues through the lens of synchronic linguistic analysis, the study of language change, typological investigation and experimental study. Originally published in Studies in Language Vol. 36:3 (2012).

What counts as evidence in linguistics? This question is addressed by the contributions to the present volume (originally published as a Special Issue of Studies in Language 28:3 (2004). Focusing on the innateness debate, what is illustrated is how formal and functional approaches to linguistics have different perspectives on linguistic evidence. While special emphasis is paid to the status of typological evidence and universals for the construction of Universal Grammar (UG), this volume also highlights more general issues such as the roles of (non)-standard language and historical evidence. To address the overall topic, the following three guiding questions are raised: What type of evidence can be used for innateness claims (or UG)?; What is the content of such innate features (or UG)?; and, How can UG be used as a theory guiding empirical research? A combination of articles and peer commentaries yields a lively discussion between leading representatives of formal and functional approaches.

From Data to Evidence in English Language Research draws on diverse digital data sources alongside more traditional linguistic corpora to offer new insights into the ways in which they can be used to extend and re-evaluate research questions in English linguistics. This is achieved, for example, by increasing data size, adding multi-layered contextual analyses, applying methods from adjacent fields, and adapting existing data sets to new uses. Making innovative contributions to digital linguistics, the chapters in the volume apply a combination of methods to the increasing amount of digital data available to researchers to show how this data – both established and newly available - can be utilized, enriched and rethought to provide new evidence for developments in the English language.

The successful collection of data is a key challenge to obtaining reliable and valid results in applied linguistics research. Data Collection Research Methods in Applied Linguistics investigates how research is conducted in the field, encompassing the challenges and obstacles applied linguists face in collecting good data. The book explores frequently used data collection techniques, including: * interviews and focus groups * observations * stimulated recall and think aloud protocols * data elicitation tasks * corpus methods * questionnaires * validated tests and measures Each chapter focuses on one type of data collection, outlining key concepts, threats to reliability and validity, procedures for good data collection, and implications for researchers. The chapters also include exemplary research projects, showcasing and explaining for readers how the technique was used to collect data in a successfully published study. This book is an essential resource for both novice and experienced applied linguists tackling data collection techniques for the first time.

The volume argues for the use of multi-methodological strategies in linguistic research. In its lead chapter, in addition, the thorny issue of phenomenological pluralism is explored in detail. From a usage-based perspective, the individual chapters demonstrate methodological pluralism in the investigation of meaning, language acquisition, and discourse. The chapters report on studies in which the use of corpus data is combined with other methodological tools, e.g. experimentally elicited findings, showing how introspection and the analysis of performance data go hand in hand to provide empirical support for researchers hypotheses. Some of the authors inspire the discussion in usage-based linguistics, proposing innovative methods of analysis. Others adopt such methods and combine them in original ways. The cutting-edge studies presented in this volume should be of great interest to scholars and students of cognitive and corpus linguistics who want to familiarize themselves with recent methodological advances and their applications in the field."

Over the past decade, conducting empirical research in linguistics has become increasingly popular. The first of its kind, this book provides an engaging and practical introduction to this exciting versatile field, providing a comprehensive overview of research aspects in general, and covering a broad range of subdiscipline-specific methodological approaches. Subfields covered include language documentation and descriptive linguistics, language typology, corpus linguistics, sociolinguistics and anthropological linguistics, cognitive linguistics and psycholinguistics, and neurolinguistics. The book reflects on the strengths and weaknesses of each single approach and on how they interact with one-another across the study of language in its many diverse facets. It also includes exercises, example student projects and recommendations for further reading, along with additional online teaching materials. Providing hands-on experience, and written in an engaging and accessible style, this unique and comprehensive guide will give students the inspiration they need to develop their own research projects in empirical linguistics.

A linguistic corpus is a collection of texts which have been selected and brought together so that language can be studied on the computer. Today, corpus linguistics offers some of the most powerful new procedures for the analysis of language, and the impact of this dynamic and expanding sub-discipline is making itself felt in many areas of language study. In this volume, a selection of leading experts in various key areas of corpus construction offer advice in a readable and largely non-technical style to help the reader to ensure that their corpus is well designed and fit for the intended purpose. This guide is aimed at those who are at some stage of building a linguistic corpus. Little or no knowledge of corpus linguistics or computational procedures is assumed, although it is hoped that more advanced users will find the guidelines here useful. It is also aimed at those who are not building a corpus, but who need to know something about the issues involved in the design of corpora in order to choose between available resources and to help draw conclusions from their studies.

The question of what types of data and evidence can be used is one of the most important topics in linguistics. This book is the first to comprehensively present the methodological problems associated with linguistic data and evidence. Its originality is twofold. First, the authors' approach accounts for a series of unexplained characteristics of linguistic theorising: the uncertainty and diversity of data, the role of evidence in the evaluation of hypotheses, the problem solving strategies as well as the emergence and resolution of inconsistencies. Second, the findings are obtained by the application of a new model of plausible argumentation which is also of relevance from a general argumentation theoretical point of view. All concepts and theses are systematically introduced and illustrated by a number of examples from different linguistic theories, and a detailed case-study section shows how the proposed model can be applied to specific linguistic problems.