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.
Cite
CITATION STYLE
Kuanzhuo, Z., Li, L., & Zhao, W. (2020). SimpleNLG-TI: Adapting SimpleNLG to Tibetan. In INLG 2020 - 13th International Conference on Natural Language Generation, Proceedings (pp. 86–90). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2020.inlg-1.12
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