Opendata, web and dolomites


Linking Latin. Building a Knowledge Base of Linguistic Resources for Latin

Total Cost €


EC-Contrib. €






Project "LiLa" data sheet

The following table provides information about the project.


Organization address
address: Largo Agostino Gemelli 1
city: MILANO
postcode: 20123

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Total cost 1˙984˙500 €
 EC max contribution 1˙984˙500 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-COG
 Funding Scheme ERC-COG
 Starting year 2018
 Duration (year-month-day) from 2018-06-01   to  2023-05-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Although the research area dealing with building, sharing and exploiting linguistic resources and tools for automatic processing of Latin (and, more generally, of ancient languages) has seen a large growth across the last decade, linguistic resources for Latin are still not interoperable. This means that linguistic information is split up in many products that just do not talk to each other. Such a situation results in poor exploitation of the richness provided by all those digital objects for Latin that were produced across years of work. Since Latin is a dead language (thus missing native speakers), all we can and must do is to exploit to the best the information contained in those few and precious texts that survived from the past. This means: - to make the best possible organization and use of the available linguistic resources for Latin (enhanced with web-services for Natural Language Processing – NLP –) for a fruitful integration of the information they provide, i.e. to retrieve and combine information from different sources in the most efficient way; - to make it available linguistic resources whose quality is assessed (curated data sets). The objective of the LiLa project is to connect and, ultimately, to exploit the wealth of linguistic resources and NLP tools for Latin assembled so far, in order to bridge the gap between raw language data, NLP and knowledge descriptions, thus enabling scholars to exploit to the best the currently available resources and tools. To address such a challenge, LiLa intends to incorporate the linguistic resources for Latin into the Linked Data framework, making it possible for them to be published and interlinked on the web and to interact with each other. To this aim, the project will build an open-ended knowledge base for Latin by using the Linked Data paradigm to combine data from disparate linguistic resources, provide NLP web-services and include also Latin into the multilingual Linguistic Linked Open Data cloud.


List of deliverables.
Data Management Plan Open Research Data Pilot 2019-04-18 13:57:44

Take a look to the deliverables list in detail:  detailed list of LiLa deliverables.


year authors and title journal last update
List of publications.
2019 Franzini Greta, Peverelli Andrea, Ruffolo Paolo, Passarotti Marco, Sanna Helena, Signoroni Edoardo, Ventura Viviana, Zampedri Federica
Nunc Est Aestimandum: Towards an Evaluation of the Latin WordNet
published pages: 1-7, ISSN: , DOI: 10.5281/zenodo.3518774
Proceedings of the Sixth Italian Conference on Computational Linguistics 6 2019-12-17
2019 Sprugnoli Rachele, Passarotti Marco, Moretti Giovanni
Vir is to Moderatus as Mulier is to Intemperans. Lemma Embeddings for Latin
published pages: 1-8, ISSN: , DOI: 10.5281/zenodo.3565572
Proceedings of the Sixth Italian Conference on Computational Linguistics 6 2019-12-16
2019 Passarotti Marco Carlo, Cecchini Flavio Massimiliano, Franzini Greta, Litta Eleonora, Mambrini Francesco, Ruffolo Paolo
The LiLa Knowledge Base of Linguistic Resources and NLP Tools for Latin
published pages: 6-11, ISSN: , DOI: 10.5281/zenodo.3358550
Proceedings of the Poster Session of the 2nd Conference on Language, Data and Knowledge (LDK 2019), Leipzig, Germany, May 21, 2019 2 2019-08-29

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The information about "LILA" are provided by the European Opendata Portal: CORDIS opendata.

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