Abstract
This paper illustrates the first steps in the creation of a computational terminology for the Babylonian Talmud. After introducing reasons and the state of the art, the paper exposes the choice of using OntoLex-Lemon and the new FrAC module for encoding the attestations and quantitative data of the terminology extraction. After that, the Talmudic terminology base is introduced and an example entry with the above-mentioned data is shown. The scheme is motivated not only by the rich representation the model allows, but also by the future management of the link between text and lexical entries.- Anthology ID:
- 2024.ldl-1.13
- Volume:
- Proceedings of the 9th Workshop on Linked Data in Linguistics @ LREC-COLING 2024
- Month:
- May
- Year:
- 2024
- Address:
- Torino, Italia
- Editors:
- Christian Chiarcos, Katerina Gkirtzou, Maxim Ionov, Fahad Khan, John P. McCrae, Elena Montiel Ponsoda, Patricia Martín Chozas
- Venues:
- LDL | WS
- SIG:
- Publisher:
- ELRA and ICCL
- Note:
- Pages:
- 103–107
- Language:
- URL:
- https://aclanthology.org/2024.ldl-1.13
- DOI:
- Cite (ACL):
- Flavia Sciolette. 2024. Modeling linking between text and lexicon with OntoLex-Lemon: a case study of computational terminology for the Babylonian Talmud. In Proceedings of the 9th Workshop on Linked Data in Linguistics @ LREC-COLING 2024, pages 103–107, Torino, Italia. ELRA and ICCL.
- Cite (Informal):
- Modeling linking between text and lexicon with OntoLex-Lemon: a case study of computational terminology for the Babylonian Talmud (Sciolette, LDL-WS 2024)
- PDF:
- https://preview.aclanthology.org/landing_page/2024.ldl-1.13.pdf