This study collects 3896 errors made by junior middle students in Xining.Then they are classified into interlingual errors and intralingual errors and a macro-analysis is done to discover the possible causes behind th...This study collects 3896 errors made by junior middle students in Xining.Then they are classified into interlingual errors and intralingual errors and a macro-analysis is done to discover the possible causes behind these errors.This research comes to the following conclusions:First,a large number of the errors made by the students are intralingual errors rather than interlingual ones.Secondly,the students at elementary levels produce more interlingual errors than those at intermediate or advanced levels.Conversely,the students at intermediate or advanced levels produce more intralingual errors.Thirdly,errors can have more than one source.展开更多
This research collects 3896 errors made by 965 Chinese students in 5 junior middle schools in Xining and then a detailed analysis is made to discover the possible causes behind these errors.This research comes to the ...This research collects 3896 errors made by 965 Chinese students in 5 junior middle schools in Xining and then a detailed analysis is made to discover the possible causes behind these errors.This research comes to the following conclusions:first,during the course of English learning in junior middle school,the students make errors mainly in six specific areas:spelling,tenses,pronouns,verb“be”,articles,and numbers;second,the learners at an elementary level produce more interlingual errors than the learners at an advanced level.Third,error fossilization is serious.展开更多
be stored or transmitted in an efficient form.In this work,a new idea is proposed,where we take advantage of the redundancy that appears in a group of images to be all compressed together,instead of compressing each i...be stored or transmitted in an efficient form.In this work,a new idea is proposed,where we take advantage of the redundancy that appears in a group of images to be all compressed together,instead of compressing each image by itself.In our proposed technique,a classification process is applied,where the set of the input images are classified into groups based on existing technique like L1 and L2 norms,color histograms.All images that belong to the same group are compressed based on dividing the images of the same group into sub-images of equal sizes and saving the references into a codebook.In the process of extracting the different sub-images,we used the mean squared error for comparison and three blurring methods(simple,middle and majority blurring)to increase the compression ratio.Experiments show that varying blurring values,as well as MSE thresholds,enhanced the compression results in a group of images compared to JPEG and PNG compressors.展开更多
文摘This study collects 3896 errors made by junior middle students in Xining.Then they are classified into interlingual errors and intralingual errors and a macro-analysis is done to discover the possible causes behind these errors.This research comes to the following conclusions:First,a large number of the errors made by the students are intralingual errors rather than interlingual ones.Secondly,the students at elementary levels produce more interlingual errors than those at intermediate or advanced levels.Conversely,the students at intermediate or advanced levels produce more intralingual errors.Thirdly,errors can have more than one source.
文摘This research collects 3896 errors made by 965 Chinese students in 5 junior middle schools in Xining and then a detailed analysis is made to discover the possible causes behind these errors.This research comes to the following conclusions:first,during the course of English learning in junior middle school,the students make errors mainly in six specific areas:spelling,tenses,pronouns,verb“be”,articles,and numbers;second,the learners at an elementary level produce more interlingual errors than the learners at an advanced level.Third,error fossilization is serious.
文摘be stored or transmitted in an efficient form.In this work,a new idea is proposed,where we take advantage of the redundancy that appears in a group of images to be all compressed together,instead of compressing each image by itself.In our proposed technique,a classification process is applied,where the set of the input images are classified into groups based on existing technique like L1 and L2 norms,color histograms.All images that belong to the same group are compressed based on dividing the images of the same group into sub-images of equal sizes and saving the references into a codebook.In the process of extracting the different sub-images,we used the mean squared error for comparison and three blurring methods(simple,middle and majority blurring)to increase the compression ratio.Experiments show that varying blurring values,as well as MSE thresholds,enhanced the compression results in a group of images compared to JPEG and PNG compressors.
