arXiv
Open Access
2020
Predicting metrical patterns in Spanish poetry with language models
Javier de la Rosa
Salvador Ros
Elena González-Blanco
Abstrak
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.
Topik & Kata Kunci
Penulis (3)
J
Javier de la Rosa
S
Salvador Ros
E
Elena González-Blanco
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2020
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓