Ciallabacialla! Modeling and Linking a Regional Lexical Resource to Include Sicilian in the Semantic Web

Slide presented at CLiC-it 2025 (Eleventh Italian Conference on Computational Linguistics). This paper describes the inclusion of Sicilian in the Semantic Web through the development of new resources aligned with Linguistic Linked Open Data principles. More specifically, we model and publish the first Sicilian Lemma Bank and a bilingual Sicilian–Italian glossary extracted from the Sicilian Wiktionary (Wikizziunariu). These resources are formalized using the OntoLex-Lemon and LiLa (Linking Latin) ontologies with the aim of enabling cross-lingual interoperability. The glossary is also linked to the LiITA (Linking Italian) knowledge base. In addition, two preliminary experiments are reported: the first evaluates the translation capabilities of commercial Large Language Models (LLMs) from Sicilian into Italian; the second investigates bilingual lexicon induction through cross-lingual embedding alignment, with results indicating the challenges posed by low-resource dialects. This work aims to demonstrate the feasibility and importance of integrating under-resourced languages into broader Computational Linguistics and Semantic Web infrastructures.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-25
DOI
https://doi.org/10.5281/zenodo.17201249
Primary Topic
Education, Psychology, and Social Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Ciallabacialla! Modeling and Linking a Regional Lexical Resource to Include Sicilian in the Semantic Web

Zenodo (CERN European Organization for Nuclear Research)
Education, Psychology, and Social Research
article

Ciallabacialla! Modeling and Linking a Regional Lexical Resource to Include Sicilian in the Semantic Web

article en

Abstract

Slide presented at CLiC-it 2025 (Eleventh Italian Conference on Computational Linguistics). This paper describes the inclusion of Sicilian in the Semantic Web through the development of new resources aligned with Linguistic Linked Open Data principles. More specifically, we model and publish the first Sicilian Lemma Bank and a bilingual Sicilian–Italian glossary extracted from the Sicilian Wiktionary (Wikizziunariu). These resources are formalized using the OntoLex-Lemon and LiLa (Linking Latin) ontologies with the aim of enabling cross-lingual interoperability. The glossary is also linked to the LiITA (Linking Italian) knowledge base. In addition, two preliminary experiments are reported: the first evaluates the translation capabilities of commercial Large Language Models (LLMs) from Sicilian into Italian; the second investigates bilingual lexicon induction through cross-lingual embedding alignment, with results indicating the challenges posed by low-resource dialects. This work aims to demonstrate the feasibility and importance of integrating under-resourced languages into broader Computational Linguistics and Semantic Web infrastructures.

Zenodo (CERN European Organization for Nuclear Research)
Università Cattolica del Sacro Cuore (IT)
Openalex Percentile: Top 36%
Education, Psychology, and Social Research
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