Translating Akkadian signs to transcriptions using NLP techniques such as HMM, MEMM and BiLSTM neural networks.
Translating Akkadian signs to transcriptions using NLP techniques such as HMM, MEMM and BiLSTM neural networks.
Conditional Random Fields model for NER in Dutch Archaeology.
Machine learning techniques for archaeology.
Automated detection and classification of multi-cell phytoliths at genera and species-level using Deep Learning algorithm.
A Dutch BERT model for the Archaeology domain.
An AI-assisted workflow capable of creating uniform archaeological datasets from heterogeneous published resources.
A computer vision tool designed to automate the documentation and analysis of archaeological pottery.
Automates the digital inking process of archaeological pottery drawings, transforming pencil drawings into publication-ready illustrations while preserving the original characteristics and enhancing their analytical power.
Provides a comprehensive suite of tools for processing, detecting, and analyzing pottery fragments from scanned documents.
A text analysis program to explore online content about prehistoric rock art.