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Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractProducing diverse paraphrases of a sentence is a challenging task. Natural paraphrase corpora are scarce and limited, while existing large-scale resources are automatically generated via back-translation and rely on beam …...

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Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic Diversity

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractRecent work has shown that a multilingual neural machine translation (NMT) model can be used to judge how well a sentence paraphrases another sentence in the same language (Thompson and …...

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ParaCotta: Synthetic Multilingual Paraphrase Corpora from the Most Diverse Translation Sample Pair

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

We release our synthetic parallel paraphrase corpus across 17 languages: Arabic, Catalan, Czech, German, English, Spanish, Estonian, French, Hindi, Indonesian, Italian, Dutch, Ro- manian, Russian, Swedish, Vietnamese, and Chinese. Our …...

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