{"title":"一个模糊视觉语言编译器","authors":"Ting Yu, Shi-Kuo Chang","doi":"10.1109/WVL.1990.128399","DOIUrl":null,"url":null,"abstract":"An efficient parser for analyzing visual sentences that is based on the theory of fuzzy sets is described. The fuzzy parser selects the most reasonable parse tree for a visual sentence. The parser has been incorporated into the SIL visual language compiler. Experimental results are reported. A model which uses fuzzy theory to represent and analyze the reasonableness of derivation trees is given.<<ETX>>","PeriodicalId":256667,"journal":{"name":"Proceedings of the 1990 IEEE Workshop on Visual Languages","volume":"61 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"A fuzzy visual language compiler\",\"authors\":\"Ting Yu, Shi-Kuo Chang\",\"doi\":\"10.1109/WVL.1990.128399\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An efficient parser for analyzing visual sentences that is based on the theory of fuzzy sets is described. The fuzzy parser selects the most reasonable parse tree for a visual sentence. The parser has been incorporated into the SIL visual language compiler. Experimental results are reported. A model which uses fuzzy theory to represent and analyze the reasonableness of derivation trees is given.<<ETX>>\",\"PeriodicalId\":256667,\"journal\":{\"name\":\"Proceedings of the 1990 IEEE Workshop on Visual Languages\",\"volume\":\"61 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1990 IEEE Workshop on Visual Languages\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WVL.1990.128399\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1990 IEEE Workshop on Visual Languages","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WVL.1990.128399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An efficient parser for analyzing visual sentences that is based on the theory of fuzzy sets is described. The fuzzy parser selects the most reasonable parse tree for a visual sentence. The parser has been incorporated into the SIL visual language compiler. Experimental results are reported. A model which uses fuzzy theory to represent and analyze the reasonableness of derivation trees is given.<>
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