Results by title

Jordan Fenlon and Julie A. Hochgesang present a revolutionary contribution to the field of signed language linguistics with Signed Language Corpora, the first volume to provide a comprehensive overview of the creation, development, and use of signed language corpora. This work will advance discussions on corpus linguistics as a methodology and its place in signed language linguistics research.

       The ability to search corpora to obtain information about the frequency of patterns in language is an important step forward for signed language research. Access to large datasets will expand scholarly understandings of signed language structure in ways never before possible. Through reflective discussions on the processes of creating, using, and utilizing corpora, the editors and contributors hope that other linguists will be inspired to take similar steps. The descriptions provided in this book have been written to provide a framework for those eager to develop or make use of signed language corpora for their respective signed language varieties. Creating signed language corpora is significant not only for linguistic research, but for the long-term preservation of collected texts that include the stories and histories of signed language communities.

       Additional areas of focus include the use of signed language corpora in applied settings, the ethics of working with signed language communities, and the future of this methodology in research.

Text at Scale presents corpus analysis as a methodological framework for exploring questions about genre development, technological mediation, writing practice, and teaching, among many other areas of inquiry central to technical and professional communication. Arguing that corpus analytics provides a powerful approach for the field, Carradini and Swarts provide an overview of corpus analysis as a coherent set of methodological practices and frames of analysis, show how it can be used to pose and address questions about large corpora of language data, and offer practical and replicable demonstrations of corpus analysis techniques. Through their clear discussions and extensive examples, the authors offer a theoretically informed and strongly grounded approach to using corpus analysis to develop and test hypotheses against large bodies of textual data.