This book "asserts that the origin and spread of languages must be examined primarily through the time-tested techniques of linguistic analysis, rather than those of evolutionary biology" and "defends traditional practices in historical linguistics while remaining open to new techniques, including computational methods" and "will appeal to readers interested in world history and world geography."
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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