Papers by Matteo Pellegrini

2 papers
Representing Compounding with OntoLex. An Evaluation of Vocabularies for Word Formation Resources (2024.lrec-main)

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Challenge: OntoLex is a de facto standard for the modelling of lexical resources in the framework of Linguistic Linked Open Data.
Approach: They propose to use OntoLex to convert Linked Open Data into compounds by using the RDF model.
Outcome: The proposed model can be applied to all resources harmonized in that format, potentially allowing for the conversion into Linked Open Data of a large amount of structured data.
The Index Thomisticus Treebank as Linked Data in the LiLa Knowledge Base (2022.lrec-1)

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Challenge: a series of Latin treebanks with word-by-word account of syntax and morphology of Latin texts have been published only in recent years.
Approach: They propose to publish Latin treebanks that contain morphology and syntax annotations . they propose to use principles of the Linguistic Linked Open Data community .
Outcome: The proposed approach enables interoperability between corpora and lexical resources for Latin . language learning and corpus-based research are the most obvious applications .

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