Text normalization methods have been commonly applied to historical language or user-
generated content, but less often to dialectal transcriptions. In this paper, we introduce …

This paper presents Murreviikko, a dataset of dialectal Finnish tweets which have been
dialectologically annotated and manually normalized to a standard form. The dataset can be …

Abstract Language label tokens are often used in multilingual neural language modeling
and sequence-to-sequence learning to enhance the performance of such models. An …

This paper presents a study on automatic normalisation of 16th century documents written in
Middle French. These documents present a large variety of wordforms which require …

This paper presents efforts towards creating a tool for translating texts from Middle Polish
into modern Polish. Archaic texts sourced from the CBDU digital library were translated into …

This paper presents CorCoDial, a research project funded by the Academy of Finland
aiming to leverage machine translation technology for corpus-based computational …

Effectively normalizing textual data poses a considerable challenge, especially for low-
resource languages lacking standardized writing systems. In this study, we fine-tuned a …

Conservation of historical documents benefits from computational methods by alleviating the
manual labor related to digitization and modernization of textual content. Languages usually …

En dépit de leur qualité certaine, les ressources et outils disponibles pour l'analyse du
français d'Ancien Régime ne sont plus à même de répondre aux enjeux de la recherche en …

The transition from rule-based to neural-based architectures has made it more difficult for
low-resource languages like Scottish Gaelic to participate in modern language technologies …