Papers with dual-encoder structures

1 papers
A Simple and Effective Unified Encoder for Document-Level Machine Translation (2020.acl-main)

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Challenge: Existing models for document-level machine translation use two separate encoders to model the source sentences and document- level contexts.
Approach: They propose a unified encoder that can outperform existing models of dual-encoder models . they propose to use document-level contexts to model the interaction between the contexts and the source sentences .
Outcome: The proposed model outperforms baseline models of dual-encoder models in terms of BLEU and METEOR scores.

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