The Archaeology of the Mind Lab
Prof. Orly Goldwasser
The Archaeology of the Mind Lab studies how different cultures, past and present, organize knowledge about the world.
Mindmapping of ancient cultures
Members of our team will present research done at the lab with the iClassifier research tool in the upcoming ICE @ Leiden this August:
Orly Goldwasser and Yanru Xu. Ancient Chinese and Ancient Egyptian Scripts – New Comparative Interdisciplinary Research.
Susana Soler. New Vista on ‘The Story of Sinuhe’: A Corpus-Based Study of the Classifier System by the Digital Research Platform iClassifier.
Haleli Harel. Categories of Lexical Innovation in New Kingdom Egypt: A Categorical Semantic Network.
Svenja Stern and Tanja Pommerening
e(bers)Classifier - digital analysis of papyrus Ebers
Jorke Grotenhuis. Digitizing Seth: digital studies of Sethian hieroglyphs in the Coffin Texts.
A classifier network of Sumerian, based on the ePSD2 database.
Data collected by Bo Zhang in iClassifier.
Selz, Gebhard. 2021. “Appositive semantic classification in Sumerian Cuneiform and the implementation of iClassifier.” Ash-sharq: Bulletin of the Ancient Near East 6, 142–171.
A classifier network of lexical borrowings in New Kingdom texts
Created by Haleli Harel in iClassifier
To appear in:
Harel, Haleli, Orly Goldwasser and Dmitry Nikolaev. 2023. ‘Mapping the ancient Egyptian mind: Introducing iClassifier, a new platform for systematic analysis of classifiers in Egyptian and beyond.’ In Ancient Egypt and New Technology: The Present and Future of Computer Visualization, Virtual Reality and other Digital Humanities in Egyptology. Edited by J. A. Roberson, R. Lucarelli and S. Vinson. Leiden: Brill.
And in Harel, Haleli. Forthcoming. A Network of Lexical Borrowings in Egyptian Texts of the New Kingdom: Organizing Knowledge according to the Classifier System. Doctoral dissertation. The Hebrew University of Jerusalem.
Blue lines link classifiers and lemmas (=words) they occur with.
Red lines link classifiers that co-occur with a host lemma.
Click the image to zoom into a detail.