ELTE Poetry Corpus: A Machine Annotated Database of Canonical Hungarian Poetry

Péter Horváth, Péter Kundráth, Balázs Indig, Zsófia Fellegi, Eszter Szlávich, Tímea Borbála Bajzát, Zsófia Sárközi-Lindner, Bence Vida, Aslihan Karabulut, Mária Timári, Gábor Palkó


Abstract
ELTE Poetry Corpus is a database that stores canonical Hungarian poetry with automatically generated annotations of the poems’ structural units, grammatical features and sound devices, i.e. rhyme patterns, rhyme pairs, rhythm, alliterations and the main phonological features of words. The corpus has an open access online query tool with several search functions. The paper presents the main stages of the annotation process and the tools used for each stage. The TEI XML format of the different versions of the corpus, each of which contains an increasing number of annotation layers, is presented as well. We have also specified our own XML format for the corpus, slightly different from TEI, in order to make it easier and faster to execute queries on the corpus. We discuss the results of a manual evaluation of the quality of automatic annotation of rhythm, as well as the results of an automatic evaluation of different rule sets used for the automatic annotation of rhyme patterns. Finally, the paper gives an overview of the main functions of the online query tool developed for the corpus.
Anthology ID:
2022.lrec-1.372
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
3471–3478
Language:
URL:
https://aclanthology.org/2022.lrec-1.372
DOI:
Bibkey:
Cite (ACL):
Péter Horváth, Péter Kundráth, Balázs Indig, Zsófia Fellegi, Eszter Szlávich, Tímea Borbála Bajzát, Zsófia Sárközi-Lindner, Bence Vida, Aslihan Karabulut, Mária Timári, and Gábor Palkó. 2022. ELTE Poetry Corpus: A Machine Annotated Database of Canonical Hungarian Poetry. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 3471–3478, Marseille, France. European Language Resources Association.
Cite (Informal):
ELTE Poetry Corpus: A Machine Annotated Database of Canonical Hungarian Poetry (Horváth et al., LREC 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.lrec-1.372.pdf
Code
 elte-dh/poetry-corpus