EvaLatin 2020: data

PID

Training and gold test data released in EvaLatin 2020, the evaluation campaign of NLP tools for Latin. The two shared tasks proposed in EvaLatin 2020, i. e. Lemmatization and Part-of-Speech tagging, were aimed at fostering research in the field of language technologies for Classical languages. The shared dataset consists of texts taken from the Perseus Digital Library, processed with UDPipe models and then manually corrected by Latin experts. The training set includes only prose texts by Classical authors. The test set, alongside with prose texts by the same authors represented in the training set, also includes data relative to poetry and to the Medieval period.

Identifier
PID http://hdl.handle.net/20.500.11752/OPEN-526
Related Identifier https://www.aclweb.org/anthology/2020.lt4hala-1.16.pdf
Related Identifier https://github.com/CIRCSE/LT4HALA/tree/master/data_and_doc
Metadata Access http://dspace-clarin-it.ilc.cnr.it/repository/oai/request?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:dspace-clarin-it.ilc.cnr.it:20.500.11752/OPEN-526
Provenance
Creator Sprugnoli, Rachele; Pellegrini, Matteo; Cecchini, Flavio Massimiliano; Passarotti, Marco
Publisher CIRCSE Research Centre, Università Cattolica del Sacro Cuore
Publication Year 2020
Funding Reference info:eu-repo/grantAgreement/EC/H2020/769994
Rights Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0); http://creativecommons.org/licenses/by-nc-sa/4.0/; PUB
OpenAccess true
Contact dspace-clarin-it-ilc-help(at)ilc.cnr.it
Representation
Language Latin
Resource Type corpus
Format application/zip; text/plain; charset=utf-8; downloadable_files_count: 1
Discipline Linguistics