Papers by Hyun Chang Cho

1 papers
DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation (2022.findings-acl)

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Challenge: Current research in NMT Domain Adaptation rarely provides insights on the amount of data required to perform Domain .
Approach: They propose a Domain adaptation learning curve prediction model that predicts prospective DA performance based on in-domain monolingual samples in the source language.
Outcome: The proposed model predicts prospective DA performance based on in-domain monolingual samples in the source language.

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