Stemming Javanese: Another Adaptation of the Nazief-Adriani Algorithm

Mohammad Arifin Nq, L. Manik, Dany Widiyatmoko
{"title":"Stemming Javanese: Another Adaptation of the Nazief-Adriani Algorithm","authors":"Mohammad Arifin Nq, L. Manik, Dany Widiyatmoko","doi":"10.1109/ISRITI51436.2020.9315420","DOIUrl":null,"url":null,"abstract":"Javanese is the regional language with the most speakers in Indonesia. Not only in the Java island, but the Javanese is also spoken by people outside Indonesia, such as in Malaysia and Suriname. Besides Bahasa Indonesia, which is the national language that must be learned by Indonesian society, the regional languages, like Javanese, also must be preserved. One of the preservation methods is by using an information retrieval system. One of the popular preprocessing methods in information retrieval is called stemming. It is used to reduce differences in word forms so that the information retrieval process becomes effective. Since Javanese has its uniqueness, the language morphology is different from Bahasa Indonesia. Thus, the stemming process of Javanese words also differs from Bahasa Indonesia. The stemming algorithm in this paper is developed by adapting the Nazief-Adriani algorithm, a well-known Bahasa Indonesia stemmer method. The algorithm in this paper is made based on the rules of Javanese language morphology. It removes ater-ater (prefixes), seselan (infixes), penambang (suffixes), bebarengan (confixes), and tembung rangkep (repeated word).","PeriodicalId":325920,"journal":{"name":"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISRITI51436.2020.9315420","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Javanese is the regional language with the most speakers in Indonesia. Not only in the Java island, but the Javanese is also spoken by people outside Indonesia, such as in Malaysia and Suriname. Besides Bahasa Indonesia, which is the national language that must be learned by Indonesian society, the regional languages, like Javanese, also must be preserved. One of the preservation methods is by using an information retrieval system. One of the popular preprocessing methods in information retrieval is called stemming. It is used to reduce differences in word forms so that the information retrieval process becomes effective. Since Javanese has its uniqueness, the language morphology is different from Bahasa Indonesia. Thus, the stemming process of Javanese words also differs from Bahasa Indonesia. The stemming algorithm in this paper is developed by adapting the Nazief-Adriani algorithm, a well-known Bahasa Indonesia stemmer method. The algorithm in this paper is made based on the rules of Javanese language morphology. It removes ater-ater (prefixes), seselan (infixes), penambang (suffixes), bebarengan (confixes), and tembung rangkep (repeated word).
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
爪哇语词干:Nazief-Adriani算法的另一种改编
爪哇语是印尼使用人数最多的地方语言。不仅在爪哇岛,爪哇语也被印度尼西亚以外的人使用,比如马来西亚和苏里南。除了印尼社会必须学习的国家语言印尼语外,爪哇语等地方语言也必须保留。其中一种保存方法是利用信息检索系统。信息检索中常用的预处理方法之一是词干提取。它被用来减少单词形式的差异,使信息检索过程变得有效。由于爪哇语有其独特性,语言形态与印尼语不同。因此,爪哇语单词的词干过程也不同于印尼语。本文的词干提取算法是根据著名的印尼语词干提取方法Nazief-Adriani算法开发的。本文的算法是根据爪哇语的词法规则制定的。它删除了after -ater(前缀)、seselan(中缀)、penambang(后缀)、bebarengan(后缀)和tembung rangkep(重复的单词)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Combined Firefly Algorithm-Random Forest to Classify Autistic Spectrum Disorders Analysis of Indonesia's Internet Topology Borders at the Autonomous System Level Influence Distribution Training Data on Performance Supervised Machine Learning Algorithms Design of Optimal Satellite Constellation for Indonesian Regional Navigation System based on GEO and GSO Satellites Real-time Testing on Improved Data Transmission Security in the Industrial Control System
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1