by Wido van Peursen | Jul 4, 2022 | AI, Computational Linguistics, Hebrew Bible, linguistics, methodology
Willem van Peursen, Martijn Naaijer, Constantijn Sikkel, Mathias Coeckelbergs[1] “How can we make a Machine Learning (ML) based parser for the morphology of inflectional languages?” This question was the starting point for the project “Morphological Parser for...
by Mathias Coeckelbergs | Jan 21, 2022 | AI, Bible, Computational Linguistics, Hebrew Bible, linguistics, methodology, Open Science, Peshitta, semantics, Syriac, text linguistics
This second blogpost for the PaTraCoSy project brings us to a first discussion of the translation patterns from the Hebrew Bible into the Peshitta. Before we can address the results, we briefly describe how we constructed the model. After installation of Colibri Core,...
by Mathias Coeckelbergs | Sep 20, 2021 | AI, Bible, Computational Linguistics, Hebrew Bible, linguistics, Open Science, Peshitta, semantics, Syriac, Uncategorized
This very first blogpost seeks to report on our advancements in the PaTraCoSy (PAtterns in TRAnslation: Using COlibriCore for the Hebrew Bible corpus and its SYriac translation) project, which is funded by CLARIAH. The overall goal of this project is to use the...
by Christian Canu Højgaard | Jul 7, 2021 | Bible, Computational Linguistics, Hebrew Bible, linguistics, methodology, semantics, Social Network Analysis, Text-Fabric
The Mosaic laws of the Torah are quite unusual, embedded as they are in the narrative of the Torah. Thus, they are not only commands and prohibitions but relate intrinsically to the grand storyline of Torah extending from creation to the impending conquest of...
by Mark Klooster | Oct 26, 2020 | AI, Computational Linguistics, Database, Education, linguistics, Studies
Tuesday morning (Amsterdam time), September 1st, was the start of the course Digital Hermeneutics and the Reception of the Hebrew Bible at the Vrije Universiteit in Amsterdam. Because of the coronavirus, all lectures took place online via Zoom meetings. Although it...
