{"title":"快速移动文本输入皮特曼速记的在线识别","authors":"M. Yang, G. Leedham, C. Higgins, S. M. Htwe","doi":"10.1109/ICITA.2005.196","DOIUrl":null,"url":null,"abstract":"A novel solution to on-line Pitman shorthand recognition for high speed text input (>120wpm) to computer and mobile devices such as PDA's is proposed in this paper. Approaches to the recognition of three major components of Pitman shorthand - consonant outlines, vowel and diphthong symbols and shortforms are described in detail. Evaluation shows that the proposed approach achieved 84.4% recognition accuracy.","PeriodicalId":371528,"journal":{"name":"Third International Conference on Information Technology and Applications (ICITA'05)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"On-line recognition of Pitman shorthand for fast mobile text entry\",\"authors\":\"M. Yang, G. Leedham, C. Higgins, S. M. Htwe\",\"doi\":\"10.1109/ICITA.2005.196\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel solution to on-line Pitman shorthand recognition for high speed text input (>120wpm) to computer and mobile devices such as PDA's is proposed in this paper. Approaches to the recognition of three major components of Pitman shorthand - consonant outlines, vowel and diphthong symbols and shortforms are described in detail. Evaluation shows that the proposed approach achieved 84.4% recognition accuracy.\",\"PeriodicalId\":371528,\"journal\":{\"name\":\"Third International Conference on Information Technology and Applications (ICITA'05)\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Third International Conference on Information Technology and Applications (ICITA'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITA.2005.196\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Conference on Information Technology and Applications (ICITA'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITA.2005.196","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On-line recognition of Pitman shorthand for fast mobile text entry
A novel solution to on-line Pitman shorthand recognition for high speed text input (>120wpm) to computer and mobile devices such as PDA's is proposed in this paper. Approaches to the recognition of three major components of Pitman shorthand - consonant outlines, vowel and diphthong symbols and shortforms are described in detail. Evaluation shows that the proposed approach achieved 84.4% recognition accuracy.