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
For users familiar with the SPARQL query languageTake me there
A friendly application for all usersTake me there
The LiLa team covers a range of expertise, including Computational Linguistics, Latin Linguistics, Natural Language Processing, Classical Philology and Humanities Computing
Principal Investigator, Professor
Computational Linguist. Co-founder and Director of the CIRCSE Research Centre. Head of the Index Thomisticus Treebank project.
Linguist responsible for Word Formation Latin and the evaluation and extension of the Latin VALLEX.
Classical Philologist specialising in NLP and Linked Open Data. Works on the ontology behind the LiLa Knowledge Base.
Flavio M. Cecchini
Mathematician specialising in Linguistics and NLP. Works on LEMLAT and the Universal Dependencies version of the Index Thomisticus Treebank.
Classical and Italian Philologist specialising in lexicography. Works on the refinement and extension of the Latin WordNet.
Linguist working on Word Formation Latin and on the representation of morphosyntactic features in the LiLa knowledge base.
Classical Philologist specialising in NLP and LOD.
Works on linking lexical and textual resources to the LiLa knowledge base and on syntactic annotation according to the Universal Dependencies framework.
Software developer, expert in NLP, data analysis and visualisation.
NLP specialist, data manager and system administrator. Works on LEMLAT.
Researcher at Parma University
Computational Linguist and Digital Humanist. Works on NLP for Latin and on the LiLa Knowledge Base.
Lexicologist and linguistic annotator. Works on the Index Thomisticus Treebank, on morphological tagging and lemmatization of Latin texts, and on the sentiment lexicon LatinAffectus
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.
Lucas Consolin Dezotti
Ph.D. student in Linguistics at Sao Paulo State University (UNESP, Brazil), working on modelling and linking Latin Portuguese Dictionaries to LiLa Knowledge Base.
Master student in Linguistics, working on the linking of textual and lexical resources.
Master student in Classics. Works on linking Du Cange Glossarium to Lila Knowledge Base.
Master student in Classics. Works on linking the Lexicon der indogermanischen Verben (LIV) to the LiLa knowledge base.
Former staff and collaborators
Greta H. Franzini
Visiting Scholar from UniHelsinki, author of the Late Latin Charter Treebank (LLCT).
Petar Stjepan Soldo