Abstract
The Sanskrit WordNet is a resource currently under development, whose core was induced from a Vedic text sample semantically annotated by means of an ontology mapped on the Princeton WordNet synsets. Building on a previous case study on Ancient Greek (Zanchi et al. 2021), we show how sentence frames can be extracted from morphosyntactically parsed corpora by linking an existing dependency treebank of Vedic Sanskrit to verbal synsets in the Sanskrit WordNet. Our case study focuses on two verbs of asking, yāc- and prach-, featuring a high degree of variability in sentence frames. Treebanks enhanced with WordNet-based semantic information revealed to be of crucial help in motivating sentence frame alternations.- Anthology ID:
- 2023.gwc-1.9
- Volume:
- Proceedings of the 12th Global Wordnet Conference
- Month:
- January
- Year:
- 2023
- Address:
- University of the Basque Country, Donostia - San Sebastian, Basque Country
- Editors:
- German Rigau, Francis Bond, Alexandre Rademaker
- Venue:
- GWC
- SIG:
- Publisher:
- Global Wordnet Association
- Note:
- Pages:
- 77–83
- Language:
- URL:
- https://aclanthology.org/2023.gwc-1.9
- DOI:
- Cite (ACL):
- Erica Biagetti, Chiara Zanchi, and Silvia Luraghi. 2023. Linking the Sanskrit WordNet to the Vedic Dependency Treebank: a pilot study. In Proceedings of the 12th Global Wordnet Conference, pages 77–83, University of the Basque Country, Donostia - San Sebastian, Basque Country. Global Wordnet Association.
- Cite (Informal):
- Linking the Sanskrit WordNet to the Vedic Dependency Treebank: a pilot study (Biagetti et al., GWC 2023)
- PDF:
- https://preview.aclanthology.org/ml4al-ingestion/2023.gwc-1.9.pdf