@inproceedings{sprugnoli-etal-2022-overview,
title = "Overview of the {E}va{L}atin 2022 Evaluation Campaign",
author = "Sprugnoli, Rachele and
Passarotti, Marco and
Cecchini, Flavio Massimiliano and
Fantoli, Margherita and
Moretti, Giovanni",
editor = "Sprugnoli, Rachele and
Passarotti, Marco",
booktitle = "Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lt4hala-1.29",
pages = "183--188",
abstract = "This paper describes the organization and the results of the second edition of EvaLatin, the campaign for the evaluation of Natural Language Processing tools for Latin. The three shared tasks proposed in EvaLatin 2022, i.,e.,Lemmatization, Part-of-Speech Tagging and Features Identification, are aimed to foster research in the field of language technologies for Classical languages. The shared dataset consists of texts mainly taken from the LASLA corpus. More specifically, the training set includes only prose texts of the Classical period, whereas the test set is organized in three sub-tasks: a Classical sub-task on a prose text of an author not included in the training data, a Cross-genre sub-task on poetic and scientific texts, and a Cross-time sub-task on a text of the 15th century. The results obtained by the participants for each task and sub-task are presented and discussed.",
}
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<abstract>This paper describes the organization and the results of the second edition of EvaLatin, the campaign for the evaluation of Natural Language Processing tools for Latin. The three shared tasks proposed in EvaLatin 2022, i.,e.,Lemmatization, Part-of-Speech Tagging and Features Identification, are aimed to foster research in the field of language technologies for Classical languages. The shared dataset consists of texts mainly taken from the LASLA corpus. More specifically, the training set includes only prose texts of the Classical period, whereas the test set is organized in three sub-tasks: a Classical sub-task on a prose text of an author not included in the training data, a Cross-genre sub-task on poetic and scientific texts, and a Cross-time sub-task on a text of the 15th century. The results obtained by the participants for each task and sub-task are presented and discussed.</abstract>
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%0 Conference Proceedings
%T Overview of the EvaLatin 2022 Evaluation Campaign
%A Sprugnoli, Rachele
%A Passarotti, Marco
%A Cecchini, Flavio Massimiliano
%A Fantoli, Margherita
%A Moretti, Giovanni
%Y Sprugnoli, Rachele
%Y Passarotti, Marco
%S Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F sprugnoli-etal-2022-overview
%X This paper describes the organization and the results of the second edition of EvaLatin, the campaign for the evaluation of Natural Language Processing tools for Latin. The three shared tasks proposed in EvaLatin 2022, i.,e.,Lemmatization, Part-of-Speech Tagging and Features Identification, are aimed to foster research in the field of language technologies for Classical languages. The shared dataset consists of texts mainly taken from the LASLA corpus. More specifically, the training set includes only prose texts of the Classical period, whereas the test set is organized in three sub-tasks: a Classical sub-task on a prose text of an author not included in the training data, a Cross-genre sub-task on poetic and scientific texts, and a Cross-time sub-task on a text of the 15th century. The results obtained by the participants for each task and sub-task are presented and discussed.
%U https://aclanthology.org/2022.lt4hala-1.29
%P 183-188
Markdown (Informal)
[Overview of the EvaLatin 2022 Evaluation Campaign](https://aclanthology.org/2022.lt4hala-1.29) (Sprugnoli et al., LT4HALA 2022)
ACL
- Rachele Sprugnoli, Marco Passarotti, Flavio Massimiliano Cecchini, Margherita Fantoli, and Giovanni Moretti. 2022. Overview of the EvaLatin 2022 Evaluation Campaign. In Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages, pages 183–188, Marseille, France. European Language Resources Association.