character-level

The paper introduces Stoicheia, a 405M-parameter character-level masked diffusion encoder for Ancient Greek that unifies textual restoration, parsing, and metrical scansion in a single model, outperforming prior systems like Ithaca on benchmark tasks.

This paper probes character-level transformers to investigate whether they encode the Spanish L-shaped morphome, an irregular morphological pattern, as an abstract class or just surface alternations. The authors find that the encoding is item-specific and localized, but does not generalize like human learners.

提出CHiPS，一种轻量级的字符级作者归属方法，适用于罗马尼亚语文本，采用字符直方图和位置信号，无需分词或预训练语言模型，在封闭集基准测试中达到0.9310准确率。