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Language choice models for microplanning and readability

Williams, Sandra (2003). Language choice models for microplanning and readability. In: Proceedings of the Student Workshop of the Human Language Technology and North American Chapter of the Association for Computational Linguistics, 27 May - 1 Jun 2003, Edmonton, Canada, pp. 13–18.

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This paper describes the construction of language choice models for the microplanning of discourse relations in a Natural Language Generation system that attempts to generate appropriate texts for users with varying levels of literacy. The models consist of constraint satisfaction problem graphs that have been derived from the results of a corpus analysis. The corpus that the models are based on was written for good readers. We adapted the models for poor readers by allowing certain constraints to be tightened, based on psycholinguistic evidence. We describe how the design of microplanner is evolving. We discuss the compromises involved in generating more readable textual output and implications of our design for NLG architectures. Finally we describe plans for future work.

Item Type: Conference or Workshop Item
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 12453
Depositing User: Sandra Williams
Date Deposited: 26 Nov 2008 08:58
Last Modified: 08 Dec 2018 14:33
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