Published April 2, 2024 | Version 0.0.2
Dataset Open

PoeTree. Poetry Treebanks in Czech, English, French, German, Hungarian, Italian, Portuguese, Russian, Slovenian and Spanish

Creators

  • 1. ROR icon Czech Academy of Sciences, Institute of Czech Literature
  • 2. ROR icon Charles University
  • 3. ROR icon The Institute of the Polish Language of the Polish Academy of Sciences
  • 4. ROR icon University of Tartu
  • 5. ROR icon Tilburg University
  • 6. ROR icon University of Basel
  • 7. ROR icon University of Passau
  • 8. ROR icon University of Ljubljana
  • 9. ROR icon Université de Caen Normandie
  • 10. Metricalizer
  • 11. ROR icon Universidade Federal de Santa Catarina
  • 12. ROR icon Eötvös Loránd University
  • 13. ROR icon University of Alicante
  • 14. ROR icon University of Strasbourg
  • 15. Jinntec GmbH
  • 16. Institute of Russian Language, Russian Academy of Sciences
  • 17. Institute of Linguistics, Russian Academy of Sciences
  • 18. ROR icon University of Potsdam

Description

PoeTree (Poetry Treebanks) is a dataset comprising over 330,000 poems / 89,000,000 tokens in nine languages (Czech, English, French, German, Hungarian, Italian, Portuguese, Spanish, Slovenian, and Russian). Each corpus has been deduplicated, enriched with Universal Dependencies, provided with additional metadata and converted into a unified JSON structure (schema available at https://versologie.cz/poetree/json-schema).

new in v. 0.0.2:

  • PoeTree.sl added
  • PoeTree.de enriched with Deutsches Lyrik Korpus

Files

cs.zip

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Additional details

Is derived from
Dataset: 10.5281/zenodo.4569929 (DOI)
Dataset: https://metricalizer.de/en/ (URL)
Dataset: 10.5281/zenodo.3634442 (DOI)
Dataset: 10.5281/zenodo.7675512 (DOI)
Dataset: https://crisco4.unicaen.fr/verlaine/ (URL)
Dataset: https://github.com/ELTE-DH/poetry-corpus/ (URL)
Dataset: http://www.bibliotecaitaliana.it/ (URL)
Dataset: https://github.com/adiel-mittmann/poemas (URL)
Dataset: https://ruscorpora.ru/en/ (URL)
Dataset: https://github.com/tnhaider/DLK (URL)

References

  • Bobenhausen, K., & Hammerich, B. (2015). Métrique littéraire, métrique linguistique et métrique algorithmique de l'allemand mises en jeu dans le programme Metricalizer². Langages, (199), 67–87.
  • Delente, É., & Renault, R. (2021). Projet Anamètre : présentation, limites et avancées. In A.-S. Bories, G. Purnelle, & H. Marchal (Eds.), Plotting Poetry, On Mechanically-Enhanced Reading (pp. 73–92). Presses universitaires de Liège.
  • Horváth, P., Kundráth, P., Indig, B., Fellegi, Z., Szlávich, E., Borbála Bajzát, T., Sárközi-Lindner, Z., Vida, B., Karabulut A., Timári M., & Palkó, G. (2022). ELTE Poetry Corpus: a machine annotated database of canonical Hungarian poetry. In N. Calzolari, F. Béchet, P. Blache, K. Choukri, C. Cieri, T. Declerck, S. Goggi, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, J. Odijk, & S. Piperidis (Eds.), Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022) (pp. 3471–3478). ELRA. https://aclanthology.org/2022.lrec-1.372/
  • Mittmann, A., Pergher, P. H., & Luiz dos Santos, A. (2019). What Rhythmic Signature Says About Poetic Corpora. In P. Plecháč, B. P. Scherr, T. Skulacheva, H. Bermúdez-Sabel, R. Kolár (Eds.), Quantitative Approaches to Versification (pp. 153–172). ICL CAS. https://versologie.cz/conference2019/proceedings/mittmann-pergher-dossantos.pdf
  • Navarro-Colorado, B., Ribez Lafoz, M., & Sánchez, N. (2017). Metrical annotation of a large corpus of Spanish sonnets: representation, scansion and evaluation. In N. Calzolari, K. Choukri, T. Declerck, S. Goggi, M. Grobelnik, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, & S. Piperidis (Eds.), Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016) (pp. 4360–4364). ELRA. http://www.lrec-conf.org/proceedings/lrec2016/pdf/453_Paper.pdf
  • Plecháč, P., & Kolár, R. (2015). The Corpus of Czech Verse. Studia Metrica et Poetica, 2(1), 107–118. https://doi.org/10.12697/smp.2015.2.1.05
  • Ruiz Fabo, P., Bermúdez Sabel, H., Martínez Cantón, C., & González-Blanco, E. (2020). The Diachronic Spanish Sonnet Corpus: TEI and linked open data encoding, data distribution, and metrical findings. Digital Scholarship in the Humanities, vol. 36(Supplement_1), i68–i80, 2021. https://doi.org/10.1093/llc/fqaa035
  • Grishina E., Korchagin K., Plungian V., & Sichinava D. (2009). Poeticheskii korpus v ramkah NKRIA: obschaia struktura i perspektivy ispolzovania. In Natsionalnii korpus russkogo iazyka: 2006-2008. Novye rezultaty i perspektivy (pp. 71–113). Nestor-Istoria.
  • Haider, T. (2021). Metrical Tagging in the Wild: Building and Annotating Poetry Corpora with Rhythmic Features. In Merlo, P., Tiedemann, J., & Tsarfaty, R. (Eds.), Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (pp. 3715–3725). Association for Computational Linguistics https://doi.org/10.18653/v1/2021.eacl-main.325