Workplace Discourse provides an overview of the rapidly developing field of spoken and written workplace interaction, taking a fresh perspective on research methods and key issues in the field.. It examines discourse in a wide variety of workplace contexts using both genre analysis and a corpus-driven approach.
The eleven contributions to this volume, written by expert corpus linguists, tackle corpora from a wide range of perspectives and aim to shed light on the numerous linguistic and pedagogical uses to which corpora can be put. They present cutting-edge research in the authors respective domain of expertise and suggest directions for future research. The main focus of the book is on learner corpora, but it also includes reflections on the role of other types of corpora, such as native corpora, expert users corpora, parallel corpora or corpora of New Englishes. For readers who are already familiar with corpora, this volume offers an informed account of the key role that corpus data play in applied linguistics today. As for readers who are new to corpus linguistics, the overview of approaches, methods and domains of applications presented will undoubtedly help them develop their own taste for corpora. This volume has been edited in honour of Sylviane Granger, who has been one of the pioneers of learner corpus research.
This book will show you the essential techniques of text and language processing. Starting with tokenization, stemming, and the WordNet dictionary, you’ll progress to part-of-speech tagging, phrase chunking, and named entity recognition. You’ll learn how various text corpora are organized, as well as how to create your own custom corpus. Then, you’ll move onto text classification with a focus on sentiment analysis. And because NLP can be computationally expensive on large bodies of text, you’ll try a few methods for distributed text processing. Finally, you’ll be introduced to a number of other small but complementary Python libraries for text analysis, cleaning, and parsing.
