  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.
