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Australasian Joint Conference on Artificial Intelligence

AI 2011: AI 2011: Advances in Artificial Intelligence pp 658–667Cite as

Processing Coordinated Structures in PENG Light

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7106))

Abstract

PENG Light is a controlled natural language designed to write unambiguous specifications that can be translated automatically via discourse representation structures into a formal target language. Instead of writing axioms in a formal language, an author writes a specification and the associated background axioms directly in controlled natural language. In this paper, we first review the controlled natural language PENG Light and show how a discourse representation structure is generated for sentences written in PENG Light. We then discuss two different solutions of how discourse representation structures can be implemented for coordinated structures. Finally, we show how an efficient implementation of coordinated structures combined with a suitable parsing strategy affects the parsing performance of the controlled natural language.

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Author information

Authors and Affiliations

  1. Centre for Language Technology, Macquarie University, Sydney, NSW, 2109, Australia

    Rolf Schwitter

Authors
  1. Rolf Schwitter
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Editor information

Editors and Affiliations

  1. School of Engineering and Mathematical Sciences, La Trobe University, 3086, Melbourne, VIC, Australia

    Dianhui Wang

  2. School of Computer Science and Software Engineering, The University of Western Australia, 6009, Perth, WA, Australia

    Mark Reynolds

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© 2011 Springer-Verlag Berlin Heidelberg

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Schwitter, R. (2011). Processing Coordinated Structures in PENG Light. In: Wang, D., Reynolds, M. (eds) AI 2011: Advances in Artificial Intelligence. AI 2011. Lecture Notes in Computer Science(), vol 7106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25832-9_67

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  • DOI: https://doi.org/10.1007/978-3-642-25832-9_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25831-2

  • Online ISBN: 978-3-642-25832-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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