This is the first study that empirically investigates preposition placement across all clause types. The study compares first-language (British English) and second-language (Kenyan English) data and will therefore appeal to readers interested in world Englishes. Over 100 authentic corpus examples are discussed in the text, which will appeal to those who want to see 'real data'
Data-Oriented Parsing (DOP) is one of the leading paradigms in Statistical Natural Language Processing. In this volume, a collection of computational linguists offers a state-of-the-art overview of DOP suitable for students and researchers in natural language processing and speech recognition as well as computational linguistics.
This handbook begins with the theoretical background of DOP and introduces the various algorithms used in DOP as well as in other probabilistic grammar models. After surveying extensions to the basic DOP model, this volume concludes with a close study of some applications that use DOP as a backbone.
To order this book, contact:
The University of Chicago Press. Call their toll free order number 1-800-621-2736 (U.S. & Canada only) or order online at http://www.press.uchicago.edu/ (use the search feature to locate the book, then order).