Influenced by its training corpus,the performance of different machine translation systems varies greatly.Aiming at achieving higher quality translations,system combination methods combine the translation results of m...Influenced by its training corpus,the performance of different machine translation systems varies greatly.Aiming at achieving higher quality translations,system combination methods combine the translation results of multiple systems through statistical combination or neural network combination.This paper proposes a new multi-system translation combination method based on the Transformer architecture,which uses a multi-encoder to encode source sentences and the translation results of each system in order to realize encoder combination and decoder combination.The experimental verification on the Chinese-English translation task shows that this method has 1.2-2.35 more bilingual evaluation understudy(BLEU)points compared with the best single system results,0.71-3.12 more BLEU points compared with the statistical combination method,and 0.14-0.62 more BLEU points compared with the state-of-the-art neural network combination method.The experimental results demonstrate the effectiveness of the proposed system combination method based on Transformer.展开更多
页岩的矿物成分复杂、孔隙结构多样,导致页岩吸附性能差异大,同一储层中不同岩样的等温吸附曲线形态变化大,有必要针对页岩建立标准等温吸附曲线。对来自鄂尔多斯盆地长7油层组的页岩储层样品进行了低温液氮等温吸附实验,将实验所得曲...页岩的矿物成分复杂、孔隙结构多样,导致页岩吸附性能差异大,同一储层中不同岩样的等温吸附曲线形态变化大,有必要针对页岩建立标准等温吸附曲线。对来自鄂尔多斯盆地长7油层组的页岩储层样品进行了低温液氮等温吸附实验,将实验所得曲线进行初步标准化后按照BET理论中的常数C值取2为底的指数进行分类并标准化。再将所有样品的标准等温吸附曲线使用4种吸附层厚度方程在Matlab数值分析软件中进行参数拟合,用以验证标准等温吸附曲线。按拟合精度从小到大排列的4种吸附层厚度方程的顺序为:Carbon Black 2次方程<Carbon Black 3次方程<Halsey方程<De Bore方程。最后通过参数平均得出了每一类型的页岩标准等温吸附曲线。所得页岩储层的标准等温吸附曲线代表了一系列表面性质相似的储层的吸附特征,可直接用于油藏数值模拟或油藏工程计算,简化了大量的繁琐计算过程,降低了岩样随机选择所导致的数据不确定性,且使计算结果具有较强的代表性。展开更多
基金Supported by the National Key Research and Development Program of China(No.2019YFA0707201)the Fund of the Institute of Scientific and Technical Information of China(No.ZD2021-17).
文摘Influenced by its training corpus,the performance of different machine translation systems varies greatly.Aiming at achieving higher quality translations,system combination methods combine the translation results of multiple systems through statistical combination or neural network combination.This paper proposes a new multi-system translation combination method based on the Transformer architecture,which uses a multi-encoder to encode source sentences and the translation results of each system in order to realize encoder combination and decoder combination.The experimental verification on the Chinese-English translation task shows that this method has 1.2-2.35 more bilingual evaluation understudy(BLEU)points compared with the best single system results,0.71-3.12 more BLEU points compared with the statistical combination method,and 0.14-0.62 more BLEU points compared with the state-of-the-art neural network combination method.The experimental results demonstrate the effectiveness of the proposed system combination method based on Transformer.
文摘页岩的矿物成分复杂、孔隙结构多样,导致页岩吸附性能差异大,同一储层中不同岩样的等温吸附曲线形态变化大,有必要针对页岩建立标准等温吸附曲线。对来自鄂尔多斯盆地长7油层组的页岩储层样品进行了低温液氮等温吸附实验,将实验所得曲线进行初步标准化后按照BET理论中的常数C值取2为底的指数进行分类并标准化。再将所有样品的标准等温吸附曲线使用4种吸附层厚度方程在Matlab数值分析软件中进行参数拟合,用以验证标准等温吸附曲线。按拟合精度从小到大排列的4种吸附层厚度方程的顺序为:Carbon Black 2次方程<Carbon Black 3次方程<Halsey方程<De Bore方程。最后通过参数平均得出了每一类型的页岩标准等温吸附曲线。所得页岩储层的标准等温吸附曲线代表了一系列表面性质相似的储层的吸附特征,可直接用于油藏数值模拟或油藏工程计算,简化了大量的繁琐计算过程,降低了岩样随机选择所导致的数据不确定性,且使计算结果具有较强的代表性。
