PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India (2023.findings-emnlp)
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| Challenge: | Existing datasets for Indian languages are limited in terms of coverage and size. |
| Approach: | They propose a multilingual and massively parallel summarization corpus focused on languages in India that provides a training and testing ground for four language families, 14 languages, and the largest to date with 196 language pairs. |
| Outcome: | The proposed dataset provides a training and testing ground for four language families, 14 languages, and the largest to date with 196 language pairs. |
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