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Testing the Word-Based Model in the Ontological Analysis of Modern Greek Derivational Morphology

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New Trends in Database and Information Systems (ADBIS 2022)

Abstract

In the present article we explore the Item and Process (IP) approach - frequently known as Word-Based (WB) - as a theoretical model to ontologically represent the interconnection between derivatives of Modern Greek (MG). The model puts emphasis on the word as an indivisible base unit, the template rules to which words are subsumed to form new ones and the kind of relationships they establish. After a brief MG morphological analysis and the representation of various WB formation rules we proceed to test those on the MMoOn model in order to check its ontological expressiveness. In doing so we adopt an as possible top-down approach so that templates dynamically link to their respective lexical instances. Although the model generally satisfies the IP paradigm specifications it seems deficient in dealing with MG language-specific derivational rules or directional peculiarities and not very persuasive in terms of input-output categorial change representation as well as in dealing with derivatives at lexical-to-hyper-lexical level. To tackle these issues, we propose possible solutions and present their advantages in each case.

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Notes

  1. 1.

    The two terms are used interchangeably.

  2. 2.

    Lexical instances in the morphological analysis are phonetically transcribed according to the International Phonetic Alphabet (IRA) (cf. https://www.internationalphoneticassociation.org/content/ipa-chart).

  3. 3.

    By the term hyper-lexical we refer to a lexeme that at least one of its morphological constituents is another lexeme (cf. a derived prefixed word, e.g. pros-δiorίzo ʽto defineʼ, a compound word, e.g. thallas-o-taraxi ʽsea stormʼ or an analytical word form, e.g. θa trekso ʽI will runʼ).

  4. 4.

    https://aksw.org/Projects/MMoOn.html and https://github.com/MMoOn-Project/MMoOn.

  5. 5.

    https://www.w3.org/community/ontolex/wiki/Morphology.

  6. 6.

    The current version files of the ell_schema and its ell_inventory can be found in https://github.com/nvasilogamvrakis/mmoon_project/blob/main/ell_schema/ell_schema_02.owl and https://github.com/nvasilogamvrakis/mmoon_project/blob/main/inventory/ell_inventory_02.owl respectively and can be used as proof of concept.

  7. 7.

    https://github.com/MMoOn-Project/OpenGerman/blob/master/deu/inventory/og.ttl.

  8. 8.

    Capital Χ represents the unchanged lexical part (stem, word or unspecified lexical string) while the final lowercase letters the input-output categorial change.

  9. 9.

    All instances in the ontology, be it rule templates in the schema or morphological entities in the inventory, are directly given in MG morphologically transcribed IRIs.

  10. 10.

    To test our ontological MG instance, we have used the ontology editor Protégé v.5.5.0.

  11. 11.

    As long as templates between different rules do not overlap, a more abstract template for a less productive rule could also be possible.

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Acknowledgements

This research was supported by the project: “Activities of the Laboratory on Digital Libraries and Electronic Publishing of the Department of Archives, Library Science and Museology”.

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Correspondence to Nikos Vasilogamvrakis .

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Vasilogamvrakis, N., Koliopoulou, M., Sfakakis, M., Giannoulopoulou, G. (2022). Testing the Word-Based Model in the Ontological Analysis of Modern Greek Derivational Morphology. In: Chiusano, S., et al. New Trends in Database and Information Systems. ADBIS 2022. Communications in Computer and Information Science, vol 1652. Springer, Cham. https://doi.org/10.1007/978-3-031-15743-1_52

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  • DOI: https://doi.org/10.1007/978-3-031-15743-1_52

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