从阅读到写作——交互式阅读模式对英语语篇连贯写作方法的启示

Stanovich的交互式阅读模式认为阅读过程是自上而下和自下而上的信息处理之间不断的信息互动和信息弥补。从英语写作者的角度出发 ,本文从理论上分析了此阅读模式对英语语篇连贯写作方法的启示 :①写作者应该在语篇中给阅读者提供充足的信息以激活阅读者与写作者恰当的共享知识 ,使阅读者能够进行自上而下的信息处理 ;②写作者可以通过使用不同的衔接手段为阅读者提供足够的下层信息 ,主要是词汇和语义信息 ,使阅读者能够进行自下而上的信息处理 ;③在写作中 ,方法①和方法②的有机结合可以给阅读者提供充足的上层信息和下层信息 ,便于自上而下和自下而上的信息处理之间的信息弥补 ,因此 ,这两种方法的有机结合是达到语篇连贯的必要条件。

任务型人机对话系统开发平台研究

任务型人机对话系统的核心功能在于它可以基于不同用户提供的特定信息数据,为其提供服务,它能够让人们的日常作业变得简单快捷,在实际中有极大的应有价值。任务型人机对话系统能够与人类的自然交互习惯相匹配,在信息交互处理方面具有极强的适应性。笔者从人机对话的简述入手,从模块、层次,两个方面对任务型人机对话系统开发平台及其技术分层进行了相应的分析与论述,以期为任务型人机对话系统平台的未来研发提供有益参考。

Image Registration Based on Improved Mutual Information with Hybrid Optimizer

An improved image registration method is proposed based on mutual infor- mation with hybrid optimizer. Firstly, mutual information measure is combined with morphological gradient information. The essence of the gradient information is that locations a large gradient magnitude should be aligned, but also the orientation of the gradients at those locations should be similar. Secondly, a hybrid optimizer combined PSO with Powell algorithm is proposed to restrain local maxima of mutual information function and improve the registration accuracy to sub-pixel level. Lastly, muhlresolution data structure based on Mallat decomposition can not only improve the behavior of registration function, but also improve the speed of the algorithm. Experimental results demonstrate that the new method can yield good registration result, superior to traditional optimizer with respect to smoothness and attraction basin as well as convergence speed.