LiLa: Linking Latin

Description

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.

Primary Subjects

Informatics, Latin, Historical and general linguistics.

Start Date

2018-01-01

Associated Entities

Centro Interdisciplinare di Ricerche per la Computerizzazione dei Segni dell’Espressione (CIRCSE), Università Cattolica del Sacro Cuore.

Contributors

Marco Passarotti.

Related Projects

Index Thomisticus Treebank, Linguistic Linked Open Data cloud, Corpus for Latin Sociolinguistic Studies on Epigraphic textS, DanteSearch.

Location

Milan.

Research Activities

Programming, Knowledge Extraction, Modeling.

Technologies Used

Linked Open Data, SPARQL, RDF, SQL.

Outputs

LiLa Lemma Bank, LiLa Knowledge Base.

Bibliographic References

https://lila-erc.eu/output/

Homepage

https://lila-erc.eu/

Project Status

Ongoing

Research Project

This record catalogues digital scholarly activity (academic research projects) as an instance of the PROV-O Activity class. See the Documentation page for more information.

Permalink

http://purl.org/knot/data/lila-project