Poesiaren eskantsio automatikoabi hizkuntzen azterketa
- Manex Agirrezabal Zabaleta
- Iñaki Alegria Loinaz
- Mans Hulden
- Iñaki Alegria (ed. lit.)
- Ainhoa Latatu (ed. lit.)
- Miren Josu Omaetxebarria (ed. lit.)
- Patxi Salaberri (ed. lit.)
Publisher: Udako Euskal Unibertsitatea, UEU = Universidad Vasca de Verano
ISBN: 978-84-8438-627-8, 978-84-8438-628-5
Year of publication: 2017
Volume Title: Giza Zientziak eta Artea
Tome: 1
Volume: 1
Pages: 48-55
Congress: Ikergazte. Nazioarteko Ikerketa Euskaraz (2. 2017. Iruñea)
Type: Conference paper
Abstract
In this work we perform automatic scansion —the act of metrically representing a line of verse— ofpoetry. We employ typical Natural Language Processing techniques and go further by using current DeepLearning models. We have tested our systems in two languages; English and Spanish. We got our bestresults with the Deep Learning frameworks, both in English and Spanish. Furthermore, we can concludethat the scansion of poetry in English is more complex than in Spanish. We intend to apply these modelson Basque poetry.