Discourse Function & Syntactic Form in Natural Language Generation

Nonfiction, Reference & Language, Language Arts, Linguistics
Cover of the book Discourse Function & Syntactic Form in Natural Language Generation by Cassandre Creswell, Taylor and Francis
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Author: Cassandre Creswell ISBN: 9781135876203
Publisher: Taylor and Francis Publication: December 24, 2004
Imprint: Routledge Language: English
Author: Cassandre Creswell
ISBN: 9781135876203
Publisher: Taylor and Francis
Publication: December 24, 2004
Imprint: Routledge
Language: English

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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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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