Open AccessPredicting metrical patterns in Spanish poetry with language models
Author(s) -
Javier de la Rosa,
Salvador Cardús i Ros,
Elena González-Blanco
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.52591/lxai2020121212
Subject(s) - computer science , task (project management) , natural language processing , artificial intelligence , language model , identification (biology) , poetry , linguistics , engineering , philosophy , botany , systems engineering , biology
In this paper, we compare automated metrical pattern identification systems available for Spanish against extensive experiments done by fine-tuning language models trained on the same task. Despite being initially conceived as a model suitable for semantic tasks, our results suggest that BERT-based models retain enough structural information to perform reasonably well for Spanish scansion.