{"title":"韩语未登记词过程的复合名词分析","authors":"Guanghe Jin, Zhang Li, Dapeng Qu, Xingwei Wang","doi":"10.1109/ICCIS.2012.109","DOIUrl":null,"url":null,"abstract":"In this paper, a new method of compound noun analysis is proposed. It uses decomposition model and unregistered words recognition. The latter contains loanword nouns, name nouns and place name. Loanword noun is recognized based on it's formed by syllables which have low use frequency in Korean syllable. Name noun is recognized based on the characteristics of Korean name and the repeatability of the certain amount of syllables. Place name is recognized by consulting place name dictionary based on the analysis of model that the place names appear. The experimental results for compound noun analysis have an average accuracy of 98.2%. The accuracy of loanword nouns recognition and name nouns recognition is 92% and 95% separately.","PeriodicalId":269967,"journal":{"name":"2012 Fourth International Conference on Computational and Information Sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Compound Noun Analysis for Process of Korean Unregistered Word\",\"authors\":\"Guanghe Jin, Zhang Li, Dapeng Qu, Xingwei Wang\",\"doi\":\"10.1109/ICCIS.2012.109\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new method of compound noun analysis is proposed. It uses decomposition model and unregistered words recognition. The latter contains loanword nouns, name nouns and place name. Loanword noun is recognized based on it's formed by syllables which have low use frequency in Korean syllable. Name noun is recognized based on the characteristics of Korean name and the repeatability of the certain amount of syllables. Place name is recognized by consulting place name dictionary based on the analysis of model that the place names appear. The experimental results for compound noun analysis have an average accuracy of 98.2%. The accuracy of loanword nouns recognition and name nouns recognition is 92% and 95% separately.\",\"PeriodicalId\":269967,\"journal\":{\"name\":\"2012 Fourth International Conference on Computational and Information Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fourth International Conference on Computational and Information Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIS.2012.109\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Computational and Information Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIS.2012.109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Compound Noun Analysis for Process of Korean Unregistered Word
In this paper, a new method of compound noun analysis is proposed. It uses decomposition model and unregistered words recognition. The latter contains loanword nouns, name nouns and place name. Loanword noun is recognized based on it's formed by syllables which have low use frequency in Korean syllable. Name noun is recognized based on the characteristics of Korean name and the repeatability of the certain amount of syllables. Place name is recognized by consulting place name dictionary based on the analysis of model that the place names appear. The experimental results for compound noun analysis have an average accuracy of 98.2%. The accuracy of loanword nouns recognition and name nouns recognition is 92% and 95% separately.
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