Abstract
Morphology is the linguistic field that investigates the minimal meaningful units within words and their interactive processes. In coping with the ontological representation of Modern Greek (MG) derivational morphology the morpheme-based or lexicalist paradigm was tested due to the highly productive concatenative nature of the language. Following this, a specific domain ontological model, the MMoOn was chosen to assess MG morpheme-based morphological representation while being prepared to incorporate other formation approaches when required by the lexical data. Among others, MMoOn was chosen because of its targeted morphological character, its conceptual granularity, the covering of derivational aspects of morphology, its elasticity of embedding different inflectional language data models and its reference to previous frameworks. Accordingly, the model was appropriately extended for the MG language schema and tested towards a very productive MG derivational pattern revealing its high dynamics of representation and usability as a computed lexical inventory that semantically interlinks its entries.
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Notes
- 1.
We refer to redundancy rules of the lexicalist hypothesis.
- 2.
For MG morphological analysis we will use the stem entity as the minimal lexical atom because a root concept in MG cannot frequently be located or justified synchronically as roots are actually traced back in AG lexical forms [34].
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- 7.
- 8.
This is separately available as the Lemon Inflectional Agglutinative Morphology: http://lemon-model.net/liam.
- 9.
Image taken from https://mmoon.org/mmoon-core-model/.
- 10.
MMoOn was after all initially motivated so as to cover morphological gaps in Ontolex-lemon.
- 11.
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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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Vasilogamvrakis, N., Sfakakis, M. (2022). A Morpheme-Based Paradigm for the Ontological Analysis of Modern Greek Derivational Morphology. In: Garoufallou, E., Ovalle-Perandones, MA., Vlachidis, A. (eds) Metadata and Semantic Research. MTSR 2021. Communications in Computer and Information Science, vol 1537. Springer, Cham. https://doi.org/10.1007/978-3-030-98876-0_34
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