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 …

The main sources of information regarding ancient Mesopotamian history and culture are
clay cuneiform tablets. Many of these tablets are damaged, leading to missing information …

In this paper we present a new method for automatic transliteration and segmentation of
Unicode cuneiform glyphs using Natural Language Processing (NLP) techniques …

This thesis explores the use of Natural Language Processing (NLP) on the ancient
Mesopotamian primary sources, especially those written in the Akkadian language …

Automated content-based search for arbitrary cuneiform signs in photographic reproductions
is a challenging task in the analysis of ancient documents, a central component of which is a …

In the framework of the CUNE-IIIF-ORM project the aim is to train an Artificial Intelligence
Optical Character Recognition (AI-OCR) model that can automatically locate and identify …

Computational Epigraphy refers to the process of extracting text from stone inscription,
transliteration, interpretation, and attribution with the aid of computational methods …

This paper introduces an automated methodology for the detection and translation of
cuneiform symbols using high-level deep learning techniques. A total of five deep learning …

Cuneiform tablets appertain to the oldest textual artifacts used for more than three millennia
and are comparable in amount and relevance to texts written in Latin or ancient Greek …

This paper discusses various transcoding systems that convert non-Latin texts into Latin
script. Particularly significant is the Romanization of Slavic languages. The Latinization …