Newspaper is, to some extent, a mirror of our society, reflecting the latest change and development of the society.News text is a linguistic representation of the world. This paper is to briefly introduce the structur...Newspaper is, to some extent, a mirror of our society, reflecting the latest change and development of the society.News text is a linguistic representation of the world. This paper is to briefly introduce the structure, writing and linguistic styles of news texts and thus to increase readers' awareness of the distinctive features of news texts.展开更多
The present study aims to explore the discursive strategies in Chinese housing news texts on the basis of a self-built corpus.A critical discourse analysis methodology is a—dopted to explore the implicit meaning and ...The present study aims to explore the discursive strategies in Chinese housing news texts on the basis of a self-built corpus.A critical discourse analysis methodology is a—dopted to explore the implicit meaning and attitudes in the housing texts.The keyword analysis proves to be effective in discovering the lexical features of the texts.The findings show that the news texts remain implicit in their attitudes through the use of professional voice and the direction of readers'attention.展开更多
Video data are composed of multimodal information streams including visual, auditory and textual streams, so an approach of story segmentation for news video using multimodal analysis is described in this paper. The p...Video data are composed of multimodal information streams including visual, auditory and textual streams, so an approach of story segmentation for news video using multimodal analysis is described in this paper. The proposed approach detects the topic-caption frames, and integrates them with silence clips detection results, as well as shot segmentation results to locate the news story boundaries. The integration of audio-visual features and text information overcomes the weakness of the approach using only image analysis techniques. On test data with 135 400 frames, when the boundaries between news stories are detected, the accuracy rate 85.8% and the recall rate 97.5% are obtained. The experimental results show the approach is valid and robust.展开更多
We study the short-term memory capacity of ancient readers of the original New Testament written in Greek, of its translations to Latin and to modern languages. To model it, we consider the number of words between any...We study the short-term memory capacity of ancient readers of the original New Testament written in Greek, of its translations to Latin and to modern languages. To model it, we consider the number of words between any two contiguous interpunctions I<sub>p</sub>, because this parameter can model how the human mind memorizes “chunks” of information. Since I<sub>P</sub> can be calculated for any alphabetical text, we can perform experiments—otherwise impossible— with ancient readers by studying the literary works they used to read. The “experiments” compare the I<sub>P</sub> of texts of a language/translation to those of another language/translation by measuring the minimum average probability of finding joint readers (those who can read both texts because of similar short-term memory capacity) and by defining an “overlap index”. We also define the population of universal readers, people who can read any New Testament text in any language. Future work is vast, with many research tracks, because alphabetical literatures are very large and allow many experiments, such as comparing authors, translations or even texts written by artificial intelligence tools.展开更多
Many of the literary works of Matthew Arnold reflect the contradictory psychology in the 19th century,of which Dover Beach ranks high..It touches the major concerns of Mid-Victorian writing.Since the readers have good...Many of the literary works of Matthew Arnold reflect the contradictory psychology in the 19th century,of which Dover Beach ranks high..It touches the major concerns of Mid-Victorian writing.Since the readers have good acknowledgement of the extrinsic approach,to analyze this poem from a New Criticism point of view might better and objectively probe the central idea of it.展开更多
The network is a major platform for implementing new cyber-telecom crimes.Therefore,it is important to carry out monitoring and early warning research on new cyber-telecom crime platforms,which will lay the foundation...The network is a major platform for implementing new cyber-telecom crimes.Therefore,it is important to carry out monitoring and early warning research on new cyber-telecom crime platforms,which will lay the foundation for the establishment of prevention and control systems to protect citizens’property.However,the deep-learning methods applied in the monitoring and early warning of new cyber-telecom crime platforms have some apparent drawbacks.For instance,the methods suffer from data-distribution differences and tremendous manual efforts spent on data labeling.Therefore,a monitoring and early warning method for new cyber-telecom crime platforms based on the BERT migration learning model is proposed.This method first identifies the text data and their tags,and then performs migration training based on a pre-training model.Finally,the method uses the fine-tuned model to predict and classify new cyber-telecom crimes.Experimental analysis on the crime data collected by public security organizations shows that higher classification accuracy can be achieved using the proposed method,compared with the deep-learning method.展开更多
文摘Newspaper is, to some extent, a mirror of our society, reflecting the latest change and development of the society.News text is a linguistic representation of the world. This paper is to briefly introduce the structure, writing and linguistic styles of news texts and thus to increase readers' awareness of the distinctive features of news texts.
基金supported by the Teaching Research Project of Yangtze University"Research on the Backwash Effects of Changes in CET Question Types"(JY2014041)and"Research on Assessment for Learning in Foreign Language Teaching"(JY2014040)the 12th Five-Year Plan Project of Hubei Educational Science"Formative Assessment of University English Teachers in Hubei"
文摘The present study aims to explore the discursive strategies in Chinese housing news texts on the basis of a self-built corpus.A critical discourse analysis methodology is a—dopted to explore the implicit meaning and attitudes in the housing texts.The keyword analysis proves to be effective in discovering the lexical features of the texts.The findings show that the news texts remain implicit in their attitudes through the use of professional voice and the direction of readers'attention.
文摘Video data are composed of multimodal information streams including visual, auditory and textual streams, so an approach of story segmentation for news video using multimodal analysis is described in this paper. The proposed approach detects the topic-caption frames, and integrates them with silence clips detection results, as well as shot segmentation results to locate the news story boundaries. The integration of audio-visual features and text information overcomes the weakness of the approach using only image analysis techniques. On test data with 135 400 frames, when the boundaries between news stories are detected, the accuracy rate 85.8% and the recall rate 97.5% are obtained. The experimental results show the approach is valid and robust.
文摘We study the short-term memory capacity of ancient readers of the original New Testament written in Greek, of its translations to Latin and to modern languages. To model it, we consider the number of words between any two contiguous interpunctions I<sub>p</sub>, because this parameter can model how the human mind memorizes “chunks” of information. Since I<sub>P</sub> can be calculated for any alphabetical text, we can perform experiments—otherwise impossible— with ancient readers by studying the literary works they used to read. The “experiments” compare the I<sub>P</sub> of texts of a language/translation to those of another language/translation by measuring the minimum average probability of finding joint readers (those who can read both texts because of similar short-term memory capacity) and by defining an “overlap index”. We also define the population of universal readers, people who can read any New Testament text in any language. Future work is vast, with many research tracks, because alphabetical literatures are very large and allow many experiments, such as comparing authors, translations or even texts written by artificial intelligence tools.
文摘Many of the literary works of Matthew Arnold reflect the contradictory psychology in the 19th century,of which Dover Beach ranks high..It touches the major concerns of Mid-Victorian writing.Since the readers have good acknowledgement of the extrinsic approach,to analyze this poem from a New Criticism point of view might better and objectively probe the central idea of it.
基金supported in part by the Basic Public Welfare Research Program of Zhejiang Province under Grant LGF20G030001.
文摘The network is a major platform for implementing new cyber-telecom crimes.Therefore,it is important to carry out monitoring and early warning research on new cyber-telecom crime platforms,which will lay the foundation for the establishment of prevention and control systems to protect citizens’property.However,the deep-learning methods applied in the monitoring and early warning of new cyber-telecom crime platforms have some apparent drawbacks.For instance,the methods suffer from data-distribution differences and tremendous manual efforts spent on data labeling.Therefore,a monitoring and early warning method for new cyber-telecom crime platforms based on the BERT migration learning model is proposed.This method first identifies the text data and their tags,and then performs migration training based on a pre-training model.Finally,the method uses the fine-tuned model to predict and classify new cyber-telecom crimes.Experimental analysis on the crime data collected by public security organizations shows that higher classification accuracy can be achieved using the proposed method,compared with the deep-learning method.
