融合篇章结构位置编码的神经机器翻译
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亢晓勉,宗成庆
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Fusion of discourse structural position encoding for neural machine translation
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Xiaomian KANG,Chengqing ZONG
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表3 在HierAtt模型上运用非线性融合方式加入篇章结构位置编码后的BLEU值
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模型 | 英译中TED | 英译德TED | 英译德Europarl | Base | 21.54% | 28.44% | 28.87% | HierAtt | 22.29% | 29.31% | 29.76% | +Rel EDU-PE | 22.41% | 29.52% | 29.95% | +Rel Depth-PE | 22.82%* | 29.61% | 30.12%* | +Path-PE | 22.78%* | 29.83%* | 30.17%* | +Rel EDU-PE+Rel Depth-PE | 23.07%* | 29.70% | 30.21%* | +Rel EDU-PE+Rel Depth-PE+Path-PE | 22.98%* | 29.97%* | 30.28%* |
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