Conversational AI has seen a growing interest among government, researchers, and
industrialists. This comprehensive survey paper provides an in-depth analysis of large …

Ancient history relies on disciplines such as epigraphy—the study of inscribed texts known
as inscriptions—for evidence of the thought, language, society and history of past …

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 success of Transformer architecture has seen increased interest in machine translation
(MT). The translation quality of neural network-based MT transcends that of translations …

This paper compiles the most relevant contributions of AI technology in the field of Human
Sciences, more specifically Literature, Palaeography, Epigraphy, Archaeology and History of …

Languages that allow free word order, such as Arabic dialects, are of significant difficulty for
neural machine translation (NMT) because of many scarce words and the inefficiency of …

We present a generative neural language model for the most ancient proven stage of the
Greek language, the Mycenaean Greek attributed by the Linear B script. To capture the …

In this article, by the ability to translate Aramaic to another spoken languages, we
investigated machine translation in a cultural heritage domain for two primary purposes …

Historical records in Korea before the 20th century were primarily written in Hanja, an extinct
language based on Chinese characters and not understood by modern Korean or Chinese …

In this paper, we aim to address the challenges surrounding the translation of ancient
Chinese text:(1) The linguistic gap due to the difference in eras results in translations that …