Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research
Low-resource languages serve as invaluable repositories of human history, embodying
cultural evolution and intellectual diversity. Despite their significance, these languages face …
cultural evolution and intellectual diversity. Despite their significance, these languages face …
Explainability and transparency in the realm of digital humanities: toward a historian XAI
H El-Hajj, O Eberle, A Merklein, A Siebold… - International Journal of …, 2023 - Springer
The recent advancements in the field of Artificial Intelligence (AI) translated to an increased
adoption of AI technology in the humanities, which is often challenged by the limited amount …
adoption of AI technology in the humanities, which is often challenged by the limited amount …
LLMCO4MR: LLMs-Aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang
Restoring ancient manuscripts fragments, such as those from Dunhuang, is crucial for
preserving human historical culture. However, their worldwide dispersal and the shifts in …
preserving human historical culture. However, their worldwide dispersal and the shifts in …
Reproducing the Past: A Dataset for Benchmarking Inscription Restoration
Inscriptions on ancient steles, as carriers of culture, encapsulate the humanistic thoughts
and aesthetic values of our ancestors. However, these relics often deteriorate due to …
and aesthetic values of our ancestors. However, these relics often deteriorate due to …
A Systematic Review of Computational Approaches to Deciphering Bronze Age Aegean and Cypriot Scripts
This paper provides a detailed insight into computational approaches for deciphering
Bronze Age Aegean and Cypriot scripts, namely the Archanes script and the Archanes …
Bronze Age Aegean and Cypriot scripts, namely the Archanes script and the Archanes …
A novel masking model for Buddhist literature understanding by using Generative Adversarial Networks
C Yan, Y Wang, L Chang, Q Zhang, T He - Expert Systems with Applications, 2024 - Elsevier
This paper is focused on ancient Chinese Buddhist literature understanding. Buddhist
literature incorporates a plethora of dialects and slang, which makes it challenging to extract …
literature incorporates a plethora of dialects and slang, which makes it challenging to extract …
Deep Aramaic: Towards a synthetic data paradigm enabling machine learning in epigraphy
AC Aioanei, RR Hunziker-Rodewald, KM Klein… - Plos one, 2024 - journals.plos.org
Epigraphy is witnessing a growing integration of artificial intelligence, notably through its
subfield of machine learning (ML), especially in tasks like extracting insights from ancient …
subfield of machine learning (ML), especially in tasks like extracting insights from ancient …
The Artificial Papyrologist at Work
N Reggiani - Decoding Cultural Heritage: A Critical Dissection and …, 2024 - Springer
The chapter focuses on the recent advancements in Artificial Intelligence (AI) and Machine
Learning (ML) applications within papyrological research. These technologies have a …
Learning (ML) applications within papyrological research. These technologies have a …
Lacuna Language Learning: Leveraging RNNs for Ranked Text Completion in Digitized Coptic Manuscripts
Ancient manuscripts are frequently damaged, containing gaps in the text known as lacunae.
In this paper, we present a bidirectional RNN model for character prediction of Coptic …
In this paper, we present a bidirectional RNN model for character prediction of Coptic …
Multi-Modal Multi-Granularity Tokenizer for Chu Bamboo Slips
Y Chen, C Hu, C Feng, C Song, S Yu… - Proceedings of the …, 2025 - aclanthology.org
This study presents a multi-modal multi-granularity tokenizer specifically designed for
analyzing ancient Chinese scripts, focusing on the Chu bamboo slip (CBS) script used …
analyzing ancient Chinese scripts, focusing on the Chu bamboo slip (CBS) script used …