Abstract
We present a web-based system that facilitates the exploration of complex morphological patterns found in morphologically very rich languages. The need for better understanding of such patterns is urgent for linguistics and important for cross-linguistically applicable natural language processing. In this paper we give an overview of the system architecture and describe a sample case study on Abui [abz], a Trans-New Guinea language spoken in Indonesia.- Anthology ID:
- N19-4022
- Volume:
- Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)
- Month:
- June
- Year:
- 2019
- Address:
- Minneapolis, Minnesota
- Editors:
- Waleed Ammar, Annie Louis, Nasrin Mostafazadeh
- Venue:
- NAACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 127–131
- Language:
- URL:
- https://aclanthology.org/N19-4022
- DOI:
- 10.18653/v1/N19-4022
- Cite (ACL):
- Haley Lepp, Olga Zamaraeva, and Emily M. Bender. 2019. Visualizing Inferred Morphotactic Systems. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations), pages 127–131, Minneapolis, Minnesota. Association for Computational Linguistics.
- Cite (Informal):
- Visualizing Inferred Morphotactic Systems (Lepp et al., NAACL 2019)
- PDF:
- https://preview.aclanthology.org/naacl-24-ws-corrections/N19-4022.pdf