Conference paper Open Access

LiLa: Linking Latin – A Knowledge Base of Linguistic Resources and NLP Tools for Latin

Marco Carlo Passarotti; Flavio Massimiliano Cecchini; Greta Franzini; Eleonora Litta; Francesco Mambrini; Paolo Ruffolo

The LiLa: Linking Latin project was recently awarded funding from the European Research Council to build a Knowledge Base of linguistic resources for Latin. LiLa responds to the growing need in the fields of Computational Linguistics, Humanities Computing and Classics to create an interoperable ecosystem of resources and Natural Language Processing tools for Latin. To this end, LiLa makes use of Linked Open Data practices and standards to connect words to distributed textual and lexical resources via unique identifiers. In so doing, it builds rich knowledge graphs, which can be used for research and teaching purposes alike. This paper details the architecture of the LiLa Knowledge Base and presents the solutions found to address the challenges raised by populating it with a first set of linguistic resources.

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