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 …

In this paper, we explore the possibility that machine learning approaches to natural-
language processing being developed in engineering-oriented computational linguistics …

Ancient history relies on disciplines such as epigraphy, the study of ancient inscribed texts,
for evidence of the recorded past. However, these texts," inscriptions", are often damaged …

As large language models such as BERT are becoming increasingly popular in Digital
Humanities (DH), the question has arisen as to how such models can be made suitable for …

Computational Analysis and Understanding of Natural Languages: Principles, Methods and
Applications, Volume 38, the latest release in this monograph that provides a cohesive and …

More and more historical texts are becoming available in digital form. Digitization of paper
documents is motivated by the aim of preserving cultural heritage and making it more …

We have all read the headlines heralding, often hyperbolically, the latest advances in text-
and image-based Artificial Intelligence (AI). What is perhaps most unique about these …

Deep Learning waves have lapped at the shores of computational linguistics for several
years now, but 2015 seems like the year when the full force of the tsunami hit the major …

We present a grand challenge to build a corpus that will include all of the world's languages,
in a consistent structure that permits large-scale cross-linguistic processing, enabling the …

THE TERM NATURAL language refers to any system of symbolic communication (spoken,
signed, or written) that has evolved naturally in humans without intentional human planning …