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Qin Wang's research proposes a hybrid neural machine translation and large language model architecture for teaching English post-translation editing. The dataset, last updated on April 30, 2026, couples a contrastive learning error perception module with a learner feedback reinforcement learning engine. It is shared under a CC-BY-4.0 license on figshare as a 1.3 MB ZIP file.
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