@inproceedings{kuanzhuo-etal-2020-simplenlg,
title = "{S}imple{NLG}-{TI}: Adapting {S}imple{NLG} to {T}ibetan",
author = "Kuanzhuo, Zewang and
Lin, Li and
Weina, Zhao",
editor = "Davis, Brian and
Graham, Yvette and
Kelleher, John and
Sripada, Yaji",
booktitle = "Proceedings of the 13th International Conference on Natural Language Generation",
month = dec,
year = "2020",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.inlg-1.12/",
doi = "10.18653/v1/2020.inlg-1.12",
pages = "86--90",
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."
}
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<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.</abstract>
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%0 Conference Proceedings
%T SimpleNLG-TI: Adapting SimpleNLG to Tibetan
%A Kuanzhuo, Zewang
%A Lin, Li
%A Weina, Zhao
%Y Davis, Brian
%Y Graham, Yvette
%Y Kelleher, John
%Y Sripada, Yaji
%S Proceedings of the 13th International Conference on Natural Language Generation
%D 2020
%8 December
%I Association for Computational Linguistics
%C Dublin, Ireland
%F kuanzhuo-etal-2020-simplenlg
%X 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.
%R 10.18653/v1/2020.inlg-1.12
%U https://aclanthology.org/2020.inlg-1.12/
%U https://doi.org/10.18653/v1/2020.inlg-1.12
%P 86-90
Markdown (Informal)
[SimpleNLG-TI: Adapting SimpleNLG to Tibetan](https://aclanthology.org/2020.inlg-1.12/) (Kuanzhuo et al., INLG 2020)
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.