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Chinese Grammatical Correction Using BERT-based Pre-trained Model
In recent years, pre-trained models have been extensively studied, and several downstream tasks have benefited from their utilization.
Dynamic Fusion: Attentional Language Model for Neural Machine Translation
In prior investigations, two models have been used: a translation model and a language model.
Japanese Predicate Conjugation for Neural Machine Translation
Neural machine translation (NMT) has a drawback in that can generate only high-frequency words owing to the computational costs of the softmax function in the output layer.
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