-
Deep Learning of Biblical Cantillation Based on Linguistic Features Poster
- Author(s):
- Chaim Metzger (see profile) , Joshua Waxman
- Date:
- 2021
- Group(s):
- CSDH-SCHN 2021: Making the Network
- Subject(s):
- Machine learning, Musical analysis, Grammar, Comparative and general--Syntax
- Item Type:
- Conference poster
- Conf. Title:
- CSDH / SCHN 2021
- Conf. Org.:
- CSDH
- Conf. Date:
- June 03, 2021
- Tag(s):
- Hebrew bible, Music analysis, Syntax
- Permanent URL:
- http://dx.doi.org/10.17613/me8a-p449
- Abstract:
- Cantillation notes (“taamim” or “trop”) direct readers of the Hebrew Bible as to how to chant the text, and serve as a form of syntactic and logical commentary on the text and can be deduced using machine learning and Neural Networks.
- Metadata:
- xml
- Status:
- Published
- Last Updated:
- 2 years ago
- License:
- All Rights Reserved
trupposter6.pptx