{"title":"马来语新闻语料库的特征","authors":"N. Zamin, Alan Oxley, Z. Bakar, S. A. Farhan","doi":"10.1109/CCSII.2012.6470503","DOIUrl":null,"url":null,"abstract":"This paper presents in detail a linguistics study of a journalistic corpus of Malay describing Indonesian terrorism. The initial raw text was manually annotated for its parts-of-speech. It is the first corpus of its nature ever established in Malaysia. The objective of this research is to conduct an empirical analysis of the actual patterns of use in journalistic texts. This paper presents the characteristics of Malay terrorism corpus which include the properties, word classes, named entities and word occurrences. The results of this work are given purely in terms of the characteristics of a Malay terrorism corpus. The results are highly useful for solving larger tasks in the Natural Language Processing area, such as Information Retrieval and Information Extraction, in the area of terrorism.","PeriodicalId":389895,"journal":{"name":"2012 IEEE Conference on Control, Systems & Industrial Informatics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Characteristics of a Malay journalistic corpus\",\"authors\":\"N. Zamin, Alan Oxley, Z. Bakar, S. A. Farhan\",\"doi\":\"10.1109/CCSII.2012.6470503\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents in detail a linguistics study of a journalistic corpus of Malay describing Indonesian terrorism. The initial raw text was manually annotated for its parts-of-speech. It is the first corpus of its nature ever established in Malaysia. The objective of this research is to conduct an empirical analysis of the actual patterns of use in journalistic texts. This paper presents the characteristics of Malay terrorism corpus which include the properties, word classes, named entities and word occurrences. The results of this work are given purely in terms of the characteristics of a Malay terrorism corpus. The results are highly useful for solving larger tasks in the Natural Language Processing area, such as Information Retrieval and Information Extraction, in the area of terrorism.\",\"PeriodicalId\":389895,\"journal\":{\"name\":\"2012 IEEE Conference on Control, Systems & Industrial Informatics\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Conference on Control, Systems & Industrial Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCSII.2012.6470503\",\"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 IEEE Conference on Control, Systems & Industrial Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCSII.2012.6470503","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents in detail a linguistics study of a journalistic corpus of Malay describing Indonesian terrorism. The initial raw text was manually annotated for its parts-of-speech. It is the first corpus of its nature ever established in Malaysia. The objective of this research is to conduct an empirical analysis of the actual patterns of use in journalistic texts. This paper presents the characteristics of Malay terrorism corpus which include the properties, word classes, named entities and word occurrences. The results of this work are given purely in terms of the characteristics of a Malay terrorism corpus. The results are highly useful for solving larger tasks in the Natural Language Processing area, such as Information Retrieval and Information Extraction, in the area of terrorism.
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