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Routledge Discourse Function & Syntactic Form in Natural Language Generation (Outstanding Dissertations in Linguistics)

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Description
Users of natural languages have many word orders with which to encode the same truth-conditional meaning. They choose contextually appropriate strings from these many ways with little conscious effort and with effective communicative results. Previous computational models of when English speakers produce non-canonical word orders, like topicalization, left-dislocation and clefts, fail. The primary goal of this book is to present a better model of when speakers choose to produce certain non-canonical word orders by incorporating the effects of discourse context and speaker goals on syntactic choice. This book makes extensive use of previously unexamined naturally occurring corpus data of non-canonical word order in English, both to illustrate the points of the theoretical model and to train the statistical model.

Product Specifications
Brand
Routledge
Format
hardcover
ASIN
0415971047
Category
Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain
Amazon UK
Release Date
12 January 2005
Listed Since
27 December 2006

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