BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset

• URL: http://arxiv.org/abs/2210.05109v1
• Date: Tue, 11 Oct 2022 02:52:31 GMT
• Title: BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset
• Authors: Ajwad Akil, Najrin Sultana, Abhik Bhattacharjee and Rifat Shahriyar
• Abstract summary: We present BanglaParaphrase, a high-quality synthetic Bangla Paraphrase dataset curated by a novel filtering pipeline. We aim to take a step towards alleviating the low resource status of the Bangla language in the NLP domain through the introduction of BanglaParaphrase.
• Score: 3.922582192616519
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In this work, we present BanglaParaphrase, a high-quality synthetic Bangla Paraphrase dataset curated by a novel filtering pipeline. We aim to take a step towards alleviating the low resource status of the Bangla language in the NLP domain through the introduction of BanglaParaphrase, which ensures quality by preserving both semantics and diversity, making it particularly useful to enhance other Bangla datasets. We show a detailed comparative analysis between our dataset and models trained on it with other existing works to establish the viability of our synthetic paraphrase data generation pipeline. We are making the dataset and models publicly available at https://github.com/csebuetnlp/banglaparaphrase to further the state of Bangla NLP.

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