EvaLatin 2020: data

  Authors

Sprugnoli, Rachele ; Pellegrini, Matteo ; Cecchini, Flavio Massimiliano and Passarotti, Marco

  Item identifier

http://hdl.handle.net/20.500.11752/OPEN-526

 Project URL

https://github.com/CIRCSE/LT4HALA/tree/master/data_and_doc

 Demo URL

https://github.com/CIRCSE/LT4HALA/blob/master/data_and_doc/gold_EvaLatin/Horatius-Carmina_GOLD.conllu

 Referenced by

https://www.aclweb.org/anthology/2020.lt4hala-1.16.pdf

 Date issued

2020

 Type

corpus, text

 Size

341,419 tokens, 16 files

 Language(s)

Latin

 Description

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.

 Publisher

CIRCSE Research Centre, Università Cattolica del Sacro Cuore

 Acknowledgement

European Union

Project code: EC/H2020/769994

Project name: LiLa - Linking Latin. Building a Knowledge Base of Linguistic Resources for Latin

 Subject(s)

Latin POS tagging Lemmatization

 Collection(s)

CIRCSE

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