domain adaptation

Bridging Domains for Automatic Post-Editing: A Classifier-Guided Multi-Domain Adaptation Framework

Automatic Post-Editing (APE) is a widely studied approach for enhancing the output quality of Neural Machine Translation (NMT) systems. While most prior work has focused on general-purpose APE, the potential of domain-specific APE, such as for …

Domain-Specific Quality Estimation for Machine Translation in Low-Resource Scenarios

Quality Estimation (QE) is essential for assessing machine translation quality in reference-less settings, particularly for domain-specific and low-resource language scenarios. In this paper, we investigate sentence-level QE for English to Indic …