Visualizing Inferred Morphotactic Systems

Haley Lepp, Olga Zamaraeva, Emily M. Bender


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
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
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/N19-4022.pdf