Improving the Accuracy of Normalizing Historical Estonian Texts by Combining Statistical Machine Translation with BERT Language Model.

Automatic analysis of historical texts is often hindered by different spelling system compared to the one used today. One approach to address this issue is to convert these texts to present-day spelling conventions, also called normalizing. One of the relatively old, however, still used methods for...

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Publicado en:	Digital Humanities in the Nordic & Baltic Countries Publications (DHNB Publications) Vol. 7; no. 2; pp. 1 - 10
Autor principal:	Jaanimäe, Gerth
Formato:	Artículo
Publicado:	University of Oslo 2025
Materias:	Estonian language Language models Natural language processing Text processing (Computer science) Historical literature Machine translating Morphology (Grammar)
Acceso en línea:	Ver este registro en EBSCOhost