Edited By Anita Auer, Daniel Schreier, and Richard J. Watts
This book "challenges the assumption that there is only one 'legitimate' and homogenous form of English or of any other language" and "supports the view of different/alternative histories of the English language and will appeal to readers who are skeptical of 'standard' language ideology."
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.
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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).