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Recent Advances in Multiword Units in Machine Translation and Translation Technology
Edited by Johanna Monti, Gloria Corpas Pastor, Ruslan Mitkov and Carlos Manuel Hidalgo-Ternero
[Current Issues in Linguistic Theory 366] 2024
► pp. 244–262

Chapter 13
Ontology-based formalisation of Italian clitic verbal MWEs

An approach for supporting machine translation

| University of Naples “L’Orientale”
| University of Naples “L’Orientale”
| University of Naples “L’Orientale”
In this paper we present the development of an ontology-based bilingual (IT-EN) lexicographic resource of Italian clitic Verbal MultiWord Expressions (VMWEs) to support machine translation. Starting from an analysis of these units and their linguistic features, we examine how Neural Machine Translation (NMT) handles complex VMWEs and the related translations issues. Finally, we propose a bilingual resource, formalised by means of the OntoLex-Lemon model, which accounts for morphological, syntactic, and semantic features of Italian clitic verbs, in order to enhance automatic translation of VMWEs.
Keywords: OntoLex-Lemon, Neural Machine Translation, lexicographic resources, Italian clitic verbs, verbal multiword expressions, linguistic linked open data
Article outline
  • 1.Introduction
  • 2.Related work
  • 3.MWE formal representation in multilingual resources
  • 4.Clitic VMWE description
  • 5.Clitic VMWE translation issues
  • 6.Towards an ontology-based bilingual lexicographic resource
    • 6.1Description of linguistic features
    • 6.2OntoLex-Lemon formalisation
  • 7.Conclusion and future work
  • Notes
  • References
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References (44)
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