Titlebook: Machine Translation; 14th China Workshop, Jiajun Chen,Jiajun Zhang Conference proceedings 2019 Springer Nature Singapore Pte Ltd. 2019 mach

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The Impact of Named Entity Translation for Neural Machine Translation,n this paper, we study a mainstream structure that incorporating an external named entity translation model to neural machine translation. We give several comparison experiments by applying different named entity translation model structures, to clearly represent the impact of this structure in impr

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Neural Name Translation Improves Neural Machine Translation, symbol. Previous solution (Luong et al. [.]) resorts to use multiple numbered unks to learn the correspondence between source and target rare words. However, testing words unseen in the training corpus cannot be handled by this method. And it also suffers from the noisy word alignment. In this pape

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ical inference in linear models with correlated disturbances. The main aim of the study is to give a survey of new and old estimation techniques for regression models with disturbances that follow an autoregressive-moving average process. In the final chapter also several test strategies for discrim

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Yu Lu,Jiajun Zhang,Chengqing Zongcepts applicable to decision-making processes has increased the complexity of problems eligible for analytical treatment. One of the more pertinent criticisms of current decision-making theory and practice is directed against the traditional approximation of multiple goal behavior of men and organiz