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 …

We present Latin BERT, a contextual language model for the Latin language, trained on
642.7 million words from a variety of sources spanning the Classical era to the 21st century …

Being recognized among the cradles of human civilization, ancient China nurtured the
longest continuous academic traditions and humanistic spirits, which continue to impact …

Identifying intertextual relationships between authors is of central importance to the study of
literature. We report an empirical analysis of intertextuality in classical Latin literature using …

The detection of allusive text reuse is particularly challenging due to the sparse evidence on
which allusive references rely---commonly based on none or very few shared words …

Daur Ulang Text didefinisikan sebagai pemanfaatan sumber tulisan yang ada untuk
penulisan sebuah teks baru. Persentase penggunaan ulang teks dari sumber sebelumnya …

With the increasing availability of wordnets for ancient languages, such as Ancient Greek
and Latin, gaps remain in the coverage of less studied languages of antiquity. This paper …

What can you do with multiple noisy versions of the same text? We present a method which
generates a single consensus between multi-parallel corpora. By maximizing a function of …

Abstract Characterization of intertextual references among authors is fundamental for the
study of Latin literature. In this paper, we describe a large-scale intertextuality dataset …

This PhD thesis focuses on computational modeling of semantic change through large
language models. It investigates the modeling of lexical semantic change, where words …