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

Latin, Historical and general linguistics, Informatics.

Start Date

2018-01-01

Associated Entities

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

Contributors

Marco Passarotti.

Related Projects

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

Location

Milan.

Research Activities

Knowledge Extraction, Modeling, Programming.

Technologies Used

SPARQL, SQL, RDF, Linked Open Data.

Outputs

LiLa Knowledge Base, LiLa Lemma Bank.

Bibliographic References

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

Homepage

https://lila-erc.eu/

Project Status

Ongoing

Research Project

This record catalogues digital scholarly activity as an instance of the PROV-O Activity class. This activity represents academic research projects that have produced digital scholarly objects. See the Documentation page for more information.

Permalink

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