Papers with unsupervised MERT variant

1 papers
Unsupervised Statistical Machine Translation (D18-1)

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Challenge: Neural Machine Translation (NMT) systems can be trained from monolingual corpora without supervision.
Approach: They propose a phrase-based approach that trains from monolingual corpora . their method is based on phrase-driven Statistical Machine Translation (SMT) they propose to train NMT systems without supervision from monolinguistic corpors .
Outcome: The proposed approach improves on the existing supervised systems by combining a phrase table with an n-gram language model and fine-tuning hyperparameters through an unsupervised MERT variant.

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