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Sentences Generation by Frequent Parsing Patterns

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Intelligent Data Engineering and Automated Learning – IDEAL 2010 (IDEAL 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6283))

Abstract

We propose a sophisticated approach to generate sentences from syntax trees. Users are assumed to give their intent in text or equivalent ones (such as syntax trees). Here we generate standard sentences by examining how the syntax structure consist of frequent structures and how they are constructed. We examine corpus in some domains to extract elementary syntax structures appeared in the corpus as well as standard sentences using the trees.

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References

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© 2010 Springer-Verlag Berlin Heidelberg

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Yanagisawa, T., Miura, T., Shioya, I. (2010). Sentences Generation by Frequent Parsing Patterns. In: Fyfe, C., Tino, P., Charles, D., Garcia-Osorio, C., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2010. IDEAL 2010. Lecture Notes in Computer Science, vol 6283. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15381-5_7

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  • DOI: https://doi.org/10.1007/978-3-642-15381-5_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15380-8

  • Online ISBN: 978-3-642-15381-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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