Z. A. Bakar, N. K. Ismail, Mohd Izani Mohamed Rawi
{"title":"Identification of Noun + Verb Compound Nouns in Malay Standard document based on rule based","authors":"Z. A. Bakar, N. K. Ismail, Mohd Izani Mohamed Rawi","doi":"10.1109/ICETSS.2017.8324176","DOIUrl":null,"url":null,"abstract":"In this paper, we describe our methods to identify Noun + Verb Compound Nouns in Malay Standard document. We addressed the problem on detection of combination noun and verb in sentences to become a compound word. We proposed several identification rules based by using Malay grammar theory and syntactic information to increase the percentage of recall and precision. For compound noun identification, we used dictionary-based and thesaurus information for implementing Part of Speech (POS) tagging to all words in the selected Malay document. Testing was done on selected Malay document. The result showed an improvement compared to previous research with a precision of 93.5% and a recall of 27.5%.","PeriodicalId":228333,"journal":{"name":"2017 IEEE 3rd International Conference on Engineering Technologies and Social Sciences (ICETSS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 3rd International Conference on Engineering Technologies and Social Sciences (ICETSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETSS.2017.8324176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper, we describe our methods to identify Noun + Verb Compound Nouns in Malay Standard document. We addressed the problem on detection of combination noun and verb in sentences to become a compound word. We proposed several identification rules based by using Malay grammar theory and syntactic information to increase the percentage of recall and precision. For compound noun identification, we used dictionary-based and thesaurus information for implementing Part of Speech (POS) tagging to all words in the selected Malay document. Testing was done on selected Malay document. The result showed an improvement compared to previous research with a precision of 93.5% and a recall of 27.5%.