The important difference is that when these folders and cards are digital, you can easily rearrange them, visualise, explore them and reuse them in ways that were not possible before. ![]() Instead of storing small papers with pertinent information in specific boxes, they are stored digitally in files that are like cabinets: their structure, which is easy for a computer to process, is like folders within folders, which can easily take you to the information you are looking for. In fact, saving pieces of data in digital format is not at all different from traditional methods of card-file catalogues. Doing this process digitally helps to maintain consistency and accuracy. In other words, it is a task of meticulous close reading, later synthesised by an expert. Often historical research involves reading substantial amounts of texts and extracting relevant information. The benefits of searchable databases for texts in hieroglyphic, cuneiform, or any of the alphabetic scripts of the ancient world are already well established, with websites like Trismegistos, the Cuneiform Digital Library Initiative, Hethitologie Portal Mainz, or the Comprehensive Aramaic Lexicon Project, to name a few.Īnother benefit is consistency in the work process. ![]() You can search for specific words or sign sequences or even general keywords. ![]() Imagine all ancient texts were available with an effective search engine. There are multiple benefits of using computational methods for studying ancient texts and scripts, like Egyptian hieroglyphs or Mesopotamian cuneiform writing. Shai Gordin, Senior Lecturer at Digital Pasts Lab, Ariel University in Israel, provides intriguing insights about reading & deciphering ancient writing systems using AIĬan computers read ancient language systems better than experts? And why would we want AI to do that? How exactly do computational models read texts? Computational methods to study ancient texts & scripts
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