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BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset

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arxiv 2210.05109 v1 pith:YGHF5NPX submitted 2022-10-11 cs.CL

classification cs.CL
keywords banglabanglaparaphrasedatasetparaphrasehigh-qualitymakingmodelsother
verification ladder T0 review T1 audit T2 compute T3 formal
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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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  1. MahaParaphrase: A Marathi Paraphrase Detection Corpus and BERT-based Models

    cs.CL 2025-08 conditional novelty 6.0 of 10

    A new human-corrected Marathi paraphrase detection corpus with 8,000 pairs in five difficulty buckets, benchmarked with BERT models, with MahaBERT reaching 88.7% F1.

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