Abstract
This paper introduces a database for crosslinguistic modal semantics. The purpose of this database is to (1) enable ongoing consolidation of modal semantic typological knowledge into a repository according to uniform data standards and to (2) provide data for investigations in crosslinguistic modal semantic theory and experiments explaining such theories. We describe the kind of semantic variation that the database aims to record, the format of the data, and a current snapshot of the database, emphasizing access and contribution to the database in light of the goals above. We release the database at https://clmbr.shane.st/modal-typology.- Anthology ID:
- 2022.sigtyp-1.6
- Volume:
- Proceedings of the 4th Workshop on Research in Computational Linguistic Typology and Multilingual NLP
- Month:
- July
- Year:
- 2022
- Address:
- Seattle, Washington
- Editors:
- Ekaterina Vylomova, Edoardo Ponti, Ryan Cotterell
- Venue:
- SIGTYP
- SIG:
- SIGTYP
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 42–51
- Language:
- URL:
- https://aclanthology.org/2022.sigtyp-1.6
- DOI:
- 10.18653/v1/2022.sigtyp-1.6
- Cite (ACL):
- Qingxia Guo, Nathaniel Imel, and Shane Steinert-Threlkeld. 2022. A Database for Modal Semantic Typology. In Proceedings of the 4th Workshop on Research in Computational Linguistic Typology and Multilingual NLP, pages 42–51, Seattle, Washington. Association for Computational Linguistics.
- Cite (Informal):
- A Database for Modal Semantic Typology (Guo et al., SIGTYP 2022)
- PDF:
- https://preview.aclanthology.org/ingest-bitext-workshop/2022.sigtyp-1.6.pdf