Despite the headway made in the last decade in building, sharing and exploiting linguistic resources and tools for the automatic processing of Latin, these remain incompatible.
The objective of LiLa (2018-2023) is to connect and ultimately exploit the wealth of linguistic resources and NLP tools for Latin created so far, in order to bridge the gap between raw language data, NLP and knowledge descriptions. To do so, LiLa is building an open-ended Knowledge Base using the Linked Data paradigm, concurrently adding Latin to the multilingual Linguistic Linked Open Data (LLOD) cloud.Read more →
The LiLa Knowledge Base
You can explore the LiLa Knowledge Base in one of two ways
Classical and Italian Philologist specialising in lexicography. Works on the refinement and extension of the Latin WordNet.
Software developer, expert in NLP, data analysis and visualisation.
Linguist specialising in Computational Linguistics and NLP applied to diachronic varieties. Works on derivational morphology of Medieval Latin in LiLa, LEMLAT and Word Formation Latin.
Master’s student in Classics. Works on linking Lewis & Short Dictionary to Lila Knowledge Base and on the sentiment lexicon LatinAffectus.
Linguist working on Derivational Morphology in LiLa, LEMLAT and Word Formation Latin.
Digital Humanist working at the Swiss Law Sources Foundation.
Working with Named Entity Recogniton and linking of proper nouns in the LiLa Knowledge Base to external databases of proper nouns (VIAF, Wikidata etc.)
Greta H. Franzini
Visiting Scholar from UniHelsinki, author of the Late Latin Charter Treebank (LLCT).
Petar Stjepan Soldo