Outperforming Multilingual Models: Character-level Processing and Custom Word Embeddings for Old English.

We evaluate a Stanza-based pipeline for Old English that combines character-level processing with language-specific word embeddings derived from the Dictionary of Old English Corpus. On a 25,000-word dataset annotated with Universal Dependencies, character-level models yield consistent gains over to...

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Detalles Bibliográficos

Publicado en:	International Journal of Humanities & Arts Computing: A Journal of Digital Humanities Vol. 20; no. 1; pp. 18 - 36
Autores principales:	Arista, Javier Martín, Rodríguez, Darío Metola
Formato:	Artículo
Publicado:	Edinburgh University Press Mar2026
Materias:	Old English language Parsing (Grammar) Natural language processing Language models Low-resource languages Text processing (Computer science)
Acceso en línea:	Ver este registro en EBSCOhost