Papers by Francesco Mambrini
Exploring Neural Topic Modeling on a Classical Latin Corpus (2024.lrec-main)
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| Challenge: | Using topic modeling, it is possible to study Latin literature through methods and tools that support distant reading. |
| Approach: | They propose to use topic modeling to investigate thematic distribution of Latin corpus . they train, optimize and compare two neural models to evaluate which performs better . |
| Outcome: | The proposed model is compared with two neural models with a Classical Latin corpus and shows that it is coherent and interpretable. |
Modelling and Linking an Old Latin-Portuguese Dictionary to the LiLa Knowledge Base (2024.lrec-main)
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| Challenge: | lexical and lexicographic information of Antonio Velez's bilingual Latin-Portuguese dictionary was modelled using the Lexicon Model for Ontologies and its lexicog module. |
| Approach: | This paper describes steps undertaken to include data from Antonio Velez’s bilingual Latin-Portuguese dictionary into the LiLa Knowledge Base of interoperable linguistic resources for Latin. |
| Outcome: | The proposed model includes lexical and lexicographic information from the source dictionary with those of the LiLa collection of Latin lemmas. |
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 . |