From the initial sparks of fire to the present independent school, the network language has become the research object of many language scholars. With the rapid development of the lntemet, a large number of the networ...From the initial sparks of fire to the present independent school, the network language has become the research object of many language scholars. With the rapid development of the lntemet, a large number of the network new words and hot words have a rapid impact on people＇s social communication and their life. This kind of the vocabularies truly reflects the different life attitudes and cultures mainly with the words as the carrier, and then shows the network cultures, mentalities and life styles of the Chinese people, and especially the young people in different stages. From the perspective of the English vocabulary, take the reverse into consideration of the reaction of the network new and hot words on the present situations of the life of young people, the latest social phenomena and the importance and particularity of the new things, and we can find out the roles and values of the network new and hot words in the intercultural communication.展开更多
As a special kind of vocabularies originated from the network language,the network hot words are the manifcstation of the diversification of thec nctwork cra as well as of people's social consciousncss,To improve ...As a special kind of vocabularies originated from the network language,the network hot words are the manifcstation of the diversification of thec nctwork cra as well as of people's social consciousncss,To improve the translation quality of Chinese network hot words is not only conducive to promoting the Chinese network culure,but also an important way for foreigner to better understand China.This paper starts from the cases of network hot words translation,making the specific analysis of those words and the relationship among the translator,original writer and target readers.It also analyzes the factors that limit the translator's subjectivity and the translation skills of the network hot words,aiming at further clarifying the translator's subjectivity in the translation of network hot words.Through this research,this paper expectes to have a positive impact on the translation of Chinese network hot words and the promotion of Chinese culture.展开更多
Over the past century,the Communist Party of China(CPC)has transformed China from extreme poverty to prosperity,leading the country into modernization.Utilizing descriptive statistics,the Latent Dirichlet Allocation(L...Over the past century,the Communist Party of China(CPC)has transformed China from extreme poverty to prosperity,leading the country into modernization.Utilizing descriptive statistics,the Latent Dirichlet Allocation(LDA)topic model,and word co-occurrence networks,this paper systematically explores the development and governing philosophy articulated in the CPC’s discourse,as presented in the official reports of 20 Party Congresses from 1921 to 2023,in order to comprehend the pathways of China’s rapid development.For better understanding through visualization,a thematic evolution chart is constructed to display the CPC’s ideological development,and aword co-occurrence network is established to illustrate the changes in terminology over time.The analysis reveals distinct characteristics of the CPC’s development and governance across different phases,specifically shifting from a focus on revolutionary ideals and class struggle in the early stages to an emphasis on economic reforms and modernization in recent stages.Such kind of works not only help to catch up the core concepts and working endeavors during the different period of development,but also highlight the significance of analyzing the political documents from a systemic perspective.展开更多
In recent years,the use of convolutional neural networks(CNNs)and graph neural networks(GNNs)to identify hyperspectral images(HSIs)has achieved excellent results,and such methods are widely used in agricultural remote...In recent years,the use of convolutional neural networks(CNNs)and graph neural networks(GNNs)to identify hyperspectral images(HSIs)has achieved excellent results,and such methods are widely used in agricultural remote sensing,geological exploration,and marine remote sensing.Although many generalization classification algorithms are designed for the purpose of learning a small number of samples,there is often a problem of a low utilization rate of position information in the empty spectral domain.Based on this,a GNN with an autoregressive moving average(ARMA)-based smoothingfilter samples the node information in the null spectral domain and then captures the spatial information at the pixel level via spatial feature convolution;then,the null spectral domain position information lost by the CNN is located by a coordinate attention(CA)mechanism.Finally,autoregressive,spatial convolution,and CA mechanisms are combined into multiscale features to enhance the learning capacity of the network for tiny samples.Experiments conducted on the widely used Indian Pines(IP)dataset,the Botswana(BS)dataset,Houton 2013(H2013),and the WHU-Hi-HongHu(WHU)benchmark HSI dataset demonstrate that the proposed GACP technique can perform classification work with good accuracy even with a small number of training examples.展开更多
文摘From the initial sparks of fire to the present independent school, the network language has become the research object of many language scholars. With the rapid development of the lntemet, a large number of the network new words and hot words have a rapid impact on people＇s social communication and their life. This kind of the vocabularies truly reflects the different life attitudes and cultures mainly with the words as the carrier, and then shows the network cultures, mentalities and life styles of the Chinese people, and especially the young people in different stages. From the perspective of the English vocabulary, take the reverse into consideration of the reaction of the network new and hot words on the present situations of the life of young people, the latest social phenomena and the importance and particularity of the new things, and we can find out the roles and values of the network new and hot words in the intercultural communication.
文摘As a special kind of vocabularies originated from the network language,the network hot words are the manifcstation of the diversification of thec nctwork cra as well as of people's social consciousncss,To improve the translation quality of Chinese network hot words is not only conducive to promoting the Chinese network culure,but also an important way for foreigner to better understand China.This paper starts from the cases of network hot words translation,making the specific analysis of those words and the relationship among the translator,original writer and target readers.It also analyzes the factors that limit the translator's subjectivity and the translation skills of the network hot words,aiming at further clarifying the translator's subjectivity in the translation of network hot words.Through this research,this paper expectes to have a positive impact on the translation of Chinese network hot words and the promotion of Chinese culture.
基金supported by the National Social Science Fund of China(No.23&ZD331).
文摘Over the past century,the Communist Party of China(CPC)has transformed China from extreme poverty to prosperity,leading the country into modernization.Utilizing descriptive statistics,the Latent Dirichlet Allocation(LDA)topic model,and word co-occurrence networks,this paper systematically explores the development and governing philosophy articulated in the CPC’s discourse,as presented in the official reports of 20 Party Congresses from 1921 to 2023,in order to comprehend the pathways of China’s rapid development.For better understanding through visualization,a thematic evolution chart is constructed to display the CPC’s ideological development,and aword co-occurrence network is established to illustrate the changes in terminology over time.The analysis reveals distinct characteristics of the CPC’s development and governance across different phases,specifically shifting from a focus on revolutionary ideals and class struggle in the early stages to an emphasis on economic reforms and modernization in recent stages.Such kind of works not only help to catch up the core concepts and working endeavors during the different period of development,but also highlight the significance of analyzing the political documents from a systemic perspective.
基金supported by National Natural Science Foundation of China(No.62166005)National Key R&D Program of China(No.2018AAA0101800)+3 种基金Guizhou Provincial Key Technology R&D Program(No.QKH[2022]130,QKH[2022]003,QKH[2021]335)Developing Objects and Projects of Scientific and Technological Talents in Guiyang City(No.ZKHT[2023]48-8)Joint Open Fund Project of Key Laboratories of the Ministry of Education([2020]245,[2020]248)Foundation of State Key Laboratory of Public Big Data(No.QJJ[2022]418).
文摘In recent years,the use of convolutional neural networks(CNNs)and graph neural networks(GNNs)to identify hyperspectral images(HSIs)has achieved excellent results,and such methods are widely used in agricultural remote sensing,geological exploration,and marine remote sensing.Although many generalization classification algorithms are designed for the purpose of learning a small number of samples,there is often a problem of a low utilization rate of position information in the empty spectral domain.Based on this,a GNN with an autoregressive moving average(ARMA)-based smoothingfilter samples the node information in the null spectral domain and then captures the spatial information at the pixel level via spatial feature convolution;then,the null spectral domain position information lost by the CNN is located by a coordinate attention(CA)mechanism.Finally,autoregressive,spatial convolution,and CA mechanisms are combined into multiscale features to enhance the learning capacity of the network for tiny samples.Experiments conducted on the widely used Indian Pines(IP)dataset,the Botswana(BS)dataset,Houton 2013(H2013),and the WHU-Hi-HongHu(WHU)benchmark HSI dataset demonstrate that the proposed GACP technique can perform classification work with good accuracy even with a small number of training examples.
