Ancient languages preserve the cultures and histories of the past. However, their study is
fraught with difficulties, and experts must tackle a range of challenging text-based tasks, from …

Despite the extensive applications of relation extraction (RE) tasks in various domains, little
has been explored in the historical context, which contains promising data across hundreds …

Recognizing ancient cursive handwritten characters presents unique challenges due to the
diversity of writing styles and significant class imbalances, where some characters have …

Abstract Machine classification of historical books into genres is a common task for NLP-
based classifiers and has a number of applications, from literary analysis to information …

This research aims to explore the comprehension of historical Korean archives authored by
common literati. Numerous endeavors have been made to study Korean historical …

This paper provides an overview of diverse applications of parallel corpora in ancient
languages, particularly Ancient Greek. In the first part, we provide the fundamental principles …

This contribution presents a novel approach to the development and evaluation of
transformer-based models for Named Entity Recognition and Classification in Ancient Greek …

Large language models have shown breakthrough potential in many NLP domains. Here we
consider their use for stylometry, specifically authorship identification in Early Modern …

We implemented a high-performance optical character recognition model for classical
handwritten documents using data augmentation with highly variable cropping within the …

В статье рассмотрено применение больших языковых моделей в исторических
исследованиях для атрибуции, датировки текстов, реконструкции утраченных …