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被字句的语息表达对其成分消隐的制约与影响 被引量:3
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作者 游舒 《华中科技大学学报(社会科学版)》 2005年第3期94-98,共5页
被字句可表示为:A被B+VP。文章讨论被字句中A、B和VP三个成分的消隐情况,在用统计数据对它们的消隐频率进行说明的基础上,文章进而从语息表达的角度对这三个成分的消隐规律进行了探讨。
关键词 被字句 语息表达 焦点
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Supplementary role of multimedia teaching to college English reading 被引量:2
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作者 Jiang Dong 《International Journal of Technology Management》 2014年第3期53-55,共3页
With the application of modem information technology in education, particularly after multimedia network technology enters teaching field of education, the content of education, the content and the means of education ... With the application of modem information technology in education, particularly after multimedia network technology enters teaching field of education, the content of education, the content and the means of education has undergone great changes.In order to develop complex English talent, we designed a teaching model of English reading as a means of multimedia assisted teaching through collaborative, exploratory, autonomous interactive teaching, which can fully exercise and develop students' language skills, improving English quality of teaching.It has changed the traditional teaching model which is constrined bye teacher-centered, textbook-centered, classroom-centered. Multimedia Assisted English reading can give students the greatest degree of autonomy, and pay more attention to students' learning ability to play the main role in the cognitive, reflectting the idea of quality education, meetting the requirements of the times. 展开更多
关键词 MULTIMEDIA university classroom English teaching READING
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QUALITATIVE REASONING BY COMPUTING WITH WORDS IN HERRERA-MARTíNEZ’S LINGUISTIC MODEL
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作者 Li Xinde Dai Xianzhong 《Journal of Electronics(China)》 2009年第4期564-570,共7页
Most of modern systems for information retrieval, fusion and management have to deal with more and more qualitative information (by linguistic labels) besides information expressed quantitatively (by numbers), sin... Most of modern systems for information retrieval, fusion and management have to deal with more and more qualitative information (by linguistic labels) besides information expressed quantitatively (by numbers), since human reports are better and easier expressed in natural language than with numbers. In this paper, Herrera-Martfnez's 2-Tuple linguistic representation model is extended for reasoning with uncertain and qualitative information in Dezert-Smarandache Theory (DSmT) framework, in order to overcome the limitations of current approaches, i.e., the lack of precision in the final results of linguistic information fusion according to 1-Tuple representation ( q1 )- The linguistic information which expresses the expert's qualitative beliefs is expressed by means of mixed 2 Tuples (equidistant linguistic labels with a numeric biased value). Together with the 2-Tuple representation model, some basic operators are presented to carry out the fusion operation among qualitative information sources. At last, through simple example how 2-Tuple qualitative DSmT-based (q2 DSmT) fusion rules can be used for qualitative reasoning and fusion under uncertainty, which advantage is also showed by comparing with other methods. 展开更多
关键词 Information fusion Qualitative reasoning under uncertainty Dezert-smarandache Theory (DSmT) 2-Tuple linguistic label
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