Artificial Intelligence applied to Written Heritage

Abstract

Artificial Intelligence (AI) applied to written heritage refers to the utilization of AI technologies and techniques to preserve, analyze, interpret, and enhance various forms of written cultural heritage. The technical process known as (Digital) Document Analysis involves the extraction and organization of document content to make it understandable for computer systems. This entails converting document content into a format that can be readily processed and utilized for subsequent tasks. AI- powered transcription tools for example can convert handwritten or difficult-to-read historical texts into machine-readable formats. AI can also assist in analyzing large volumes of written content to identify patterns, themes, sentiments, and linguistic nuances. This can help researchers and historians gain insights into the context and significance of historical documents. AI techniques, such as writer retrieval can help determine the authenticity of historical texts and assist in attributing authorship, especially in cases where the true authors are unknown or disputed. In particular, writer retrieval enables experts in history or paleography to trace individuals or social groups across different time epochs. Finally, AI can aid in the restoration and conservation of deteriorating manuscripts and documents by digitally enhancing images and repairing damaged text or images. In any case, a collaboration between AI experts, historians, archivists, and cultural heritage professionals is essential to ensure responsible and meaningful application of AI to written heritage. This presentation will give an overview on methods of AI and how they are applied to written heritage.