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Chapter 13. Ontology-based formalisation of Italian clitic verbal MWEs

An approach for supporting machine translation
  • Maria Pia di Buono , Johanna Monti und Valeria Caruso
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Abstract

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.

Abstract

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.

Heruntergeladen am 13.9.2025 von https://www.degruyterbrill.com/document/doi/10.1075/cilt.366.13dib/pdf
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