Papers with alignment accuracies

1 papers
Jointly Learning to Align and Translate with Transformer Models (D19-1)

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Challenge: Existing word alignment models are not accurate for word alignments.
Approach: They propose a method to train a Transformer model to produce accurate translations and alignments.
Outcome: The proposed model outperforms GIZA++ trained models on translation and alignment tasks while maintaining translation accuracy.

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