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Cohesive Generation of Syntactically Simplified Newspaper Text

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1902))

Abstract

This paper describes SYSTAR (SYntactic Simplification of Text for Aphasic Readers), the PSet module which splits compound sentences, activises seven agentive passive clause types, and resolves and replaces eight frequently occurring anaphoric pronouns. We describe our techniques and strategies, report on the results obtained after evaluation of a corpus of 100 newspaper articles downloaded from the website of a daily provincial, and briefly report on experimental studies with aphasic participants.

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© 2000 Springer-Verlag Berlin Heidelberg

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Canning, Y., Tait, J., Archibald, J., Crawley, R. (2000). Cohesive Generation of Syntactically Simplified Newspaper Text. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2000. Lecture Notes in Computer Science(), vol 1902. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45323-7_25

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  • DOI: https://doi.org/10.1007/3-540-45323-7_25

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41042-3

  • Online ISBN: 978-3-540-45323-9

  • eBook Packages: Springer Book Archive

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