Discourse Function & Syntactic Form in Natural Language Generation
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.
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Discourse Function & Syntactic Form in Natural Language Generation
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.
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Discourse Function & Syntactic Form in Natural Language Generation

Discourse Function & Syntactic Form in Natural Language Generation

by Cassandre Creswell
Discourse Function & Syntactic Form in Natural Language Generation

Discourse Function & Syntactic Form in Natural Language Generation

by Cassandre Creswell

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Overview

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 Details

ISBN-13: 9781135876203
Publisher: Taylor & Francis
Publication date: 12/24/2004
Series: Outstanding Dissertations in Linguistics
Sold by: Barnes & Noble
Format: eBook
Pages: 196
File size: 552 KB

About the Author

Cassandre Creswell earned her B.A. in linguistics at the University of Illinois at Urbana-Champaign. She has a M.S.E. in computer and information science and a Ph.D. in linguistics from the University of Pennsylvania. She currently resides in Toronto, Canada.

Table of Contents

Acknowledgements Tables Figures Chapter 1: Introduction Chapter 2: Background: Previous Work and Relevant Theory Chapter 3: A Goal-Based Model of Syntactic Choice Chapter 4: An Empirical Study of Discourse Structure and Non-Canonical Word Order Chapter 5: Conclusions and Future Directions Bibliography Index
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