With the rapid development of Chinese economy, more and more foreigners have been attracted to China to invest, work, study, and travel. To help the foreigners better understand China and facilitate cross-cultural com...With the rapid development of Chinese economy, more and more foreigners have been attracted to China to invest, work, study, and travel. To help the foreigners better understand China and facilitate cross-cultural communication, bilingual or even trilingual public signs spring up in every part of China. As is known that public signs, usually in the form of a few words, pictures, or words accompanied with a picture, function not only as a＂face＂ of a city and a nation, but also as a first calling card given to the foreigners. Moreover, public signs have definite functions--informing, warning, or directing. However, to our disappointment, mistranslations of the public signs are often presented in some places. As a special text whose function is strong and communicative purpose is quite clear, the translation of public signs should be based on the text＇s functions and the translator＇s purpose. This paper classifies public signs, compares Chinese signs with English ones, and comes up with the principle for its Chinese-English translation, namely, an A-B-C approach （Adapt-Borrow-Create approach） which is based on the Skopostheorie.展开更多
The paper gives a new approach to statistical simulation and resampling by the use of numbertheoretic methods and representative points. Resempling techniques take samples from an approximate population. The bootstrap...The paper gives a new approach to statistical simulation and resampling by the use of numbertheoretic methods and representative points. Resempling techniques take samples from an approximate population. The bootstrap suggests to use a random sample to form an approximate population. We propose to construct some approximate population distribution by the use of two kinds of representative points, and samples are taken from these approximate distributions. The statistical inference is based on those samples. The statistical inference in this paper involves estimation of mean, variance, skewness, kurtosis, quantile and density of the population distribution. Our results show that the new method can significantly improve the results by the use of Monte Carlo methods.展开更多
文摘With the rapid development of Chinese economy, more and more foreigners have been attracted to China to invest, work, study, and travel. To help the foreigners better understand China and facilitate cross-cultural communication, bilingual or even trilingual public signs spring up in every part of China. As is known that public signs, usually in the form of a few words, pictures, or words accompanied with a picture, function not only as a＂face＂ of a city and a nation, but also as a first calling card given to the foreigners. Moreover, public signs have definite functions--informing, warning, or directing. However, to our disappointment, mistranslations of the public signs are often presented in some places. As a special text whose function is strong and communicative purpose is quite clear, the translation of public signs should be based on the text＇s functions and the translator＇s purpose. This paper classifies public signs, compares Chinese signs with English ones, and comes up with the principle for its Chinese-English translation, namely, an A-B-C approach （Adapt-Borrow-Create approach） which is based on the Skopostheorie.
基金supported by the Special Research Foundation from the Chinese Academyof Sciencesthe Beijing Normal University-Hong Kong Baptist University United International College Research(Grant No.R201409)National Natural Science Foundation of China(Grant No.11261016)
文摘The paper gives a new approach to statistical simulation and resampling by the use of numbertheoretic methods and representative points. Resempling techniques take samples from an approximate population. The bootstrap suggests to use a random sample to form an approximate population. We propose to construct some approximate population distribution by the use of two kinds of representative points, and samples are taken from these approximate distributions. The statistical inference is based on those samples. The statistical inference in this paper involves estimation of mean, variance, skewness, kurtosis, quantile and density of the population distribution. Our results show that the new method can significantly improve the results by the use of Monte Carlo methods.
