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A Classification of Grammar-Infused Templates for Ontology and Model Verbalisation

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Metadata and Semantic Research (MTSR 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1057))

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Abstract

Involving domain-experts in the development, maintenance, and use of knowledge organisation systems can be made easier through the introduction of easy-to-use interfaces that are based on natural language. Well resourced languages make use of natural language generation techniques to provide such interfaces. In particular, they often make use of templates combined with computational grammar rules to generate grammatically complex text. However, there is no model of pairing templates and computational grammar rules to ensure suitability for less-resourced languages. These languages require a modular design that ensures grammar detachability so as to allow grammar re-use across domains and applications. In this paper, we present a model and classification scheme for grammar-infused templates suited for less-resourced languages and classify existing systems that make use of them. We have found that of the 15 systems that pair templates and grammar rules, and their 11 distinct template types, 13 have support for detachable grammars.

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Notes

  1. 1.

    e.g., when a person ‘eats’ something, it is udla in isiZulu (one of the 11 official languages of South Africa), but when a giraffe—a noun in a different noun class from person—eats something, then it is idla.

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Authors and Affiliations

  1. University of Cape Town, Cape Town, South Africa

    Zola Mahlaza & C. Maria Keet

Authors
  1. Zola Mahlaza
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  2. C. Maria Keet
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Correspondence to Zola Mahlaza .

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Editors and Affiliations

  1. International Hellenic University, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Guglielmo Marconi University, Rome, Italy

    Francesca Fallucchi

  3. Georg Eckert Institute – Leibniz Institute for International Textbook Research, Braunschweig, Germany

    Ernesto William De Luca

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Mahlaza, Z., Keet, C.M. (2019). A Classification of Grammar-Infused Templates for Ontology and Model Verbalisation. In: Garoufallou, E., Fallucchi, F., William De Luca, E. (eds) Metadata and Semantic Research. MTSR 2019. Communications in Computer and Information Science, vol 1057. Springer, Cham. https://doi.org/10.1007/978-3-030-36599-8_6

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  • DOI: https://doi.org/10.1007/978-3-030-36599-8_6

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