This paper analyzes the use of a special type of abstract nouns, shell nouns, in two corpora consisted of 60 research articles published by scholars from China and Sweden. The frequency, classes, lexico-grammatical patterns and premodifiers of shell nouns are investigated in this study. The results indicate that though in general Chinese use significantly less shell nouns than their Swedish counterparts, especially in the cognition class of shell nouns, there is no significant difference between the two groups of authors in other classes, lexico-grammatical patterns or premodifiers of shell nouns. A possible explanation for the results is offered from the perspective of genre and discourse community. Pedagogical suggestions based on these findings are also illustrated for the teaching of shell nouns.
Abstract-Based on language transfer theory, this study tries to explain the differences in shell nouns used by Chinese and Swedish university students from the perspective of linguistics and culture. From the aspect of linguistic features of Chinese and Swedish, we find that methods of texture, popularity of nouns and sentence patterns lead to the differences in shell nouns. As for cultural differences, the two contrary thinking patterns can explain why Chinese and Swedish tend to use shells in distinct manners. We hope that the results of this study could provide useful insights for the teaching and learning of shell nouns.
This paper proposes a method to reconstruct and visualize landslide events based on pre- and post-disaster remote sensing data. The proposed method establishes the dynamic equations of the landslide evolution process and calibrates the model parameters based on pre- and post-disaster remote sensing data. Based on the calibrated dynamic equations, we reconstruct and simulate the historical landslide process and visualize the landslide evolution. The experimental results show that our method could dynamically and realistically reconstruct and visualize the landslide evolution process. Moreover, the landslide process simulation can also detect the maximum depth, maximum sliding speed, maximum momentum, and other indicators during the evolution process, and the visualization results can be used for subsequent hazard assessment, engineering implementation, and other applications.
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