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Statistically-Guided Controlled Language Authoring

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Controlled Natural Language (CNL 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9767))

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Abstract

This study presents a series of experiments using contextual next word prediction to aid controlled language authoring. The goal is to assess the capabilities of n-gram language modelling to improve the generation of controlled language in restricted domains with minimal supervision. We evaluate how different dimensions of language model design can impact prediction and textual coherence. In particular, evaluations of suggestion ranking, perplexity gain and language model combination are presented. We show that word prediction can provide adequate suggestions which could offer an alternative to costly manual configuration of rules in controlled language applications.

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Notes

  1. 1.

    http://www.sumitsoft.com/.

  2. 2.

    http://www.goqsoftware.com/wordQ.php.

  3. 3.

    http://opus.lingfil.uu.se/.

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Author information

Authors and Affiliations

  1. Vicomtech-IK4, Donostia - San Sebastián, Spain

    Susana Palmaz, Montse Cuadros & Thierry Etchegoyhen

Authors
  1. Susana Palmaz
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  2. Montse Cuadros
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  3. Thierry Etchegoyhen
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Corresponding author

Correspondence to Susana Palmaz .

Editor information

Editors and Affiliations

  1. National University of Ireland , Galway, Ireland

    Brian Davis

  2. University of Malta , Msida, Malta

    Gordon J. Pace

  3. University of Aberdeen , Aberdeen, United Kingdom

    Adam Wyner

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© 2016 Springer International Publishing Switzerland

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Palmaz, S., Cuadros, M., Etchegoyhen, T. (2016). Statistically-Guided Controlled Language Authoring. In: Davis, B., Pace, G., Wyner, A. (eds) Controlled Natural Language. CNL 2016. Lecture Notes in Computer Science(), vol 9767. Springer, Cham. https://doi.org/10.1007/978-3-319-41498-0_4

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  • DOI: https://doi.org/10.1007/978-3-319-41498-0_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41497-3

  • Online ISBN: 978-3-319-41498-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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