A study of Association Rule Mining to Pattern Detection of Communication Acts

• Main Authors: Sung-Yu Li, 李松榆
• Other Authors: Yeou-Jiunn Chen
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/50351607981497223226

碩士 === 南台科技大學 === 電機工程系 === 99 === Oral communication act has been the focus of many studies. The degree of development of communication act is very important. If not, the application of the appropriate age to achieve pragmatic competence. In the future, it will affect communication skills, learning achievement, daily life, social adjustment, interpersonal relationships and emotional development. According to Kaohsiung City and County Early Intervention for Children with developmental delay and informed of the results of a statistical analysis of case management, that children with developmental delay developmental delays in language behavior is pretty high. The language assessment and conduct the training process and it takes a lot of time. The Speech therapy professionals are very lack in the country. Supporting the development of clinically detect and training system to improve the efficiency of verbal communication behavior. The develop need to support system to improve detection and training of language communication act. This paper, the development of oral communication patterns detection and training systems. The application of association rule mining in oral communication act. First, The collected of oral communication corpus, and apply INCA-A to code interchange、speech act and pragmatic flexibility. Second, the application of sequential patterns mining for Corpus analysis. Tertiary, According to oral communication acts to develop oral communication act patterns detection and training system. Experimental results show that the platform is designed paper can effectively improve the efficiency of speech therapist diagnosed.