After decades of massive digitisation, an unprecedented number of historical documents are
available in digital format, along with their machine-readable texts. While this represents a …

Recent advances in NLP have significantly improved the performance of language models
on a variety of tasks. While these advances are largely driven by the availability of large …

Recent works in historical language processing have shown that transformer-based models
can be successfully created using historical corpora, and that using them for analysing and …

This survey aims to thoroughly examine and evaluate the current landscape of electronic
corpora in historical Portuguese. This is achieved through a comprehensive analysis of …

La creciente aplicación de métodos computacionales a la literatura española del Siglo de
Oro ha revelado la necesidad de automatizar la modernización de los textos para facilitar su …

Our study presents a stratified dataset compiled from six different Slavic bodies of text, for
cross-linguistic and diachronic analyses of Slavic Pre-Modern language variants. We …

En este trabajo presentamos los lineamientos generales de una metodología didáctica que
incorpora la utilización de Inteligencia Artificial Generativa (IAG) en la enseñanza de la …

The study of language through time has long been an area where the corpus approach to
the analysis of language has been an important method. The possibility of using other …

In recent years, neural methods for Natural Language Processing (NLP) have consistently
and repeatedly improved the state of the art in a wide variety of NLP tasks. One of the main …

We describe ongoing work for developing a workflow for the applied use case of classifying
diachronic and regional language variation in Pre-Modern Slavic texts. The data were …