SimpleNLG-TI: Adapting SimpleNLG to Tibetan

Zewang Kuanzhuo, Li Lin, Zhao Weina


Abstract
Surface realisation is the last but not the least phase of Natural Language Generation, which aims to produce high-quality natural language text based on meaning representations. In this article, we present our work on SimpleNLG-TI, a Tibetan surface realiser, which follows the design paradigm of SimpleNLG-EN. SimpleNLG-TI is built up by our investigation of the core features of Tibetan morphology and syntax. Through this work, we provide a robust and flexible surface realiser for Tibetan generation systems.
Anthology ID:
2020.inlg-1.12
Volume:
Proceedings of the 13th International Conference on Natural Language Generation
Month:
December
Year:
2020
Address:
Dublin, Ireland
Editors:
Brian Davis, Yvette Graham, John Kelleher, Yaji Sripada
Venue:
INLG
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
86–90
Language:
URL:
https://aclanthology.org/2020.inlg-1.12
DOI:
10.18653/v1/2020.inlg-1.12
Bibkey:
Cite (ACL):
Zewang Kuanzhuo, Li Lin, and Zhao Weina. 2020. SimpleNLG-TI: Adapting SimpleNLG to Tibetan. In Proceedings of the 13th International Conference on Natural Language Generation, pages 86–90, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
SimpleNLG-TI: Adapting SimpleNLG to Tibetan (Kuanzhuo et al., INLG 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.inlg-1.12.pdf