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ID: noising
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AbstractTranslation-based methods for grammar correction that directly map noisy, ungrammatical text to their clean counterparts are able to correct a broad range of errors; however, such techniques are bottlenecked by …...
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages
AbstractFor most language combinations and parallel data is either scarce or simply unavailable. To address this and unsupervised machine translation (UMT) exploits large amounts of monolingual data by using synthetic …...