Papers with multilingual language-specific pre-trained models
IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages (2022.emnlp-main)
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Aman Kumar, Himani Shrotriya, Prachi Sahu, Amogh Mishra, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra, Pratyush Kumar
| Challenge: | IndicNLG is a non-English language that is hampered by the scarcity of datasets. |
| Approach: | They propose to create a dataset for natural language generation for 11 Indic languages . they use a set of pre-trained models to train multilingual models . |
| Outcome: | The proposed datasets show that pre-trained models perform well in multilingual and monolingual tasks. |