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We describe PARANMT-50M, a dataset of more than 50 million English-Englishsentential paraphrase pairs. We generated the pairs automatically by usingneural machine translation to translate the non-English side of a largeparallel corpus, following Wieting et al. (2017). Our hope is that ParaNMT-50Mcan be a valuable resource for paraphrase generation and can provide a richsource of semantic knowledge to improve downstream natural languageunderstanding tasks. To show its utility, we use ParaNMT-50M to trainparaphrastic sentence embeddings that outperform all supervised systems onevery SemEval semantic textual similarity competition, in addition to showinghow it can be used for paraphrase generation.

ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations