Stefan Th. Gries provides an overview on how quantitative corpus methods can provide insights to cognitive/usage-based linguistics and selected psycholinguistic questions as well as introductory examples of how to use R for such research.

This series of lectures provides an overview of the author's work on quantitative applications in cognitive linguistics by discussing a wide range of studies involving corpus-linguistic as well as experimental work. After a discussion of how corpus linguistics, cognitive linguistics, and psycholinguistics relate to each other, the author discusses empirical and statistical studies of a wide variety of phenomena including morphophonology (morphological blends and alliteration effects), corpus-based cognitive semantics, frequency and association at the syntax-lexis interface. The book concludes with chapters exemplifying the role that bottom-up approaches can take, the role of statistical methods more generally, and the role of converging evidence from corpus and experimental data.The lectures for this book were given at The China International Forum on Cognitive Linguistics in May 2013. In the e-book version all handouts have been made available at the back. All audio of the lectures as well as the handouts are available for free, in Open Access, here.

The volume consists of ten studies that involve the use of corpus data relevant to research within a Cognitive Linguistics framework.

A series of 10 lectures on various aspects of Cognitive Linguistics as these relate to matters of language teaching and learning.

Merging insights from cognitive linguistic theories of language and learning theories originating within psychology, Divjak and Milin present a new paradigm that has computational modelling at its core. They showcase the power of this interdisciplinary approach for linguistic theory, methodology and description. Through a series of detailed case studies that model usage of the English article system, the Polish aspectual system, English tense/aspect contrasts and the Serbian case system they show how computational models anchored in learning can provide a simple and comprehensive account of how intricate phenomena that have long defied a unified treatment could be learned from exposure to usage alone. As such, their models form the basis for a first rigorous test of a core assumption of usage-based linguistics: that of the emergence of structure from use.

The volume consists of ten studies that involve the use of corpus data relevant to research within a Cognitive Linguistics framework.

The first textbook of its kind, Quantitative Corpus Linguistics with R demonstrates how to use the open source programming language R for corpus linguistic analyses. Computational and corpus linguists doing corpus work will find that R provides an enormous range of functions that currently require several programs to achieve – searching and processing corpora, arranging and outputting the results of corpus searches, statistical evaluation, and graphing.