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.
@article{arxiv.2011.09567,
title = {Predicting metrical patterns in Spanish poetry with language models},
author = {Javier de la Rosa and Salvador Ros and Elena González-Blanco},
journal= {arXiv preprint arXiv:2011.09567},
year = {2020}
}