论文标题
用语言模型预测西班牙诗歌中的度量模式
Predicting metrical patterns in Spanish poetry with language models
论文作者
论文摘要
在本文中，我们将可用于西班牙语的自动化度量模式识别系统与经过同一任务训练的微调语言模型进行的广泛实验进行了比较。尽管最初被认为是适合语义任务的模型，但我们的结果表明，基于BERT的模型保留了足够的结构信息，以便在西班牙扫描方面表现出色。
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.
