As a term of cognitive psychology, image is closely related to grammar analysis. The present paper takes English as an example and through the analysis of parameters--basal body and side, selection, angle of view, deg...As a term of cognitive psychology, image is closely related to grammar analysis. The present paper takes English as an example and through the analysis of parameters--basal body and side, selection, angle of view, degree of detail, prominence, which constitute different images, to demonstrate the relationship between image and English grammar analysis.展开更多
A SVMs (Support Vector Machines) based method to identify Chinese place names is presented. In our approach, place name candidate is located according to a rational forming assumption, then SVMs based identification s...A SVMs (Support Vector Machines) based method to identify Chinese place names is presented. In our approach, place name candidate is located according to a rational forming assumption, then SVMs based identification strategy is used to distinguish whether one candidate is true place name or not. Referring to linguistic knowledge, basic semanteme of a contextual word and frequency information of words inside place name candidate are selected as features in our methodology. So dimension in the feature space is reduced dramatically and processing procedure is performed more efficiently. Result of open testing on unregistered place names achieves F-measure 83.25 in 8.17 million words news based on this project.展开更多
文摘As a term of cognitive psychology, image is closely related to grammar analysis. The present paper takes English as an example and through the analysis of parameters--basal body and side, selection, angle of view, degree of detail, prominence, which constitute different images, to demonstrate the relationship between image and English grammar analysis.
基金Foundation of China(Grant No.60175020and60673037) and the National High Technology Research and Development Program of China (Grant No.2002AA117010-09).
文摘A SVMs (Support Vector Machines) based method to identify Chinese place names is presented. In our approach, place name candidate is located according to a rational forming assumption, then SVMs based identification strategy is used to distinguish whether one candidate is true place name or not. Referring to linguistic knowledge, basic semanteme of a contextual word and frequency information of words inside place name candidate are selected as features in our methodology. So dimension in the feature space is reduced dramatically and processing procedure is performed more efficiently. Result of open testing on unregistered place names achieves F-measure 83.25 in 8.17 million words news based on this project.
