“nya”作为回指词:一个建议的解决方案

Mohd Juzaiddin Abd. Aziz, S. Noah, M. P. Hamzah
{"title":"“nya”作为回指词:一个建议的解决方案","authors":"Mohd Juzaiddin Abd. Aziz, S. Noah, M. P. Hamzah","doi":"10.1109/STAIR.2011.5995797","DOIUrl":null,"url":null,"abstract":"This paper not considering how to determine antecedents with its anaphor, but to discuss how to determine the anaphoric word. Anaphoric word determination is important process needs in anaphora resolution. In Malay language there is a word that can be used in three conditions; human referral, other than human referral and not referral word. The word is “nya”. The usage of word “nya” can be trace based on semantic knowledge of word that combines with word “nya”. A novel approach is proposed to identify such uses of “nya”. The propose approach is semantic knowledge that focus on classification of words before “nya”. There are three type of word involve in this determination process. The types are nouns, verb and “kata tugas”. There are classes that have been identified for each type of word. These classes are 16 classes to determine pronoun, six classes for referral word and other than those classes are for not referral word. The experiment has been executed using 60 text news from Berita Harian that consist of 385 word “nya” with 278 “nya” as human referral, 35 “nya” as other than human referral and 72 “nya” not referral word. The result shows that the rules are acceptable. The precision for human referral, other than human referral and non referral word are 0.960, 0.824 and 0.627 respectively. Where else recall for pronoun, referral word, and non-referral word are 0.863, 0.412 and 0.973.","PeriodicalId":376671,"journal":{"name":"2011 International Conference on Semantic Technology and Information Retrieval","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"“nya” as anaphoric word: A proposed solution\",\"authors\":\"Mohd Juzaiddin Abd. Aziz, S. Noah, M. P. Hamzah\",\"doi\":\"10.1109/STAIR.2011.5995797\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper not considering how to determine antecedents with its anaphor, but to discuss how to determine the anaphoric word. Anaphoric word determination is important process needs in anaphora resolution. In Malay language there is a word that can be used in three conditions; human referral, other than human referral and not referral word. The word is “nya”. The usage of word “nya” can be trace based on semantic knowledge of word that combines with word “nya”. A novel approach is proposed to identify such uses of “nya”. The propose approach is semantic knowledge that focus on classification of words before “nya”. There are three type of word involve in this determination process. The types are nouns, verb and “kata tugas”. There are classes that have been identified for each type of word. These classes are 16 classes to determine pronoun, six classes for referral word and other than those classes are for not referral word. The experiment has been executed using 60 text news from Berita Harian that consist of 385 word “nya” with 278 “nya” as human referral, 35 “nya” as other than human referral and 72 “nya” not referral word. The result shows that the rules are acceptable. The precision for human referral, other than human referral and non referral word are 0.960, 0.824 and 0.627 respectively. Where else recall for pronoun, referral word, and non-referral word are 0.863, 0.412 and 0.973.\",\"PeriodicalId\":376671,\"journal\":{\"name\":\"2011 International Conference on Semantic Technology and Information Retrieval\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Semantic Technology and Information Retrieval\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STAIR.2011.5995797\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Semantic Technology and Information Retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STAIR.2011.5995797","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

本文不考虑先行词与指代词的确定问题,而是讨论指代词的确定问题。回指词的确定是回指消解中的一个重要过程。马来语中有一个词可以在三种情况下使用;人转介,除了人转介和不转介两字。单词是“nya”。根据与“nya”相结合的词的语义知识,可以追溯“nya”的用法。提出了一种新的方法来识别“nya”的这种用法。提出的方法是语义知识,重点是对“nya”之前的词进行分类。在这个确定过程中有三种类型的词。类型有名词、动词和“字形”。每种类型的单词都有相应的类。这些类中有16类为确定代词,6类为指代词,其余的类为不指代词。实验使用了来自Berita Harian的60个文本新闻,其中包含385个单词“nya”,其中278个“nya”为人类推荐词,35个“nya”为非人类推荐词,72个“nya”为非推荐词。结果表明,该规则是可以接受的。人工推荐词、非人工推荐词和非人工推荐词的准确率分别为0.960、0.824和0.627。其中,代词、指代词和非指代词的召回率分别为0.863、0.412和0.973。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
“nya” as anaphoric word: A proposed solution
This paper not considering how to determine antecedents with its anaphor, but to discuss how to determine the anaphoric word. Anaphoric word determination is important process needs in anaphora resolution. In Malay language there is a word that can be used in three conditions; human referral, other than human referral and not referral word. The word is “nya”. The usage of word “nya” can be trace based on semantic knowledge of word that combines with word “nya”. A novel approach is proposed to identify such uses of “nya”. The propose approach is semantic knowledge that focus on classification of words before “nya”. There are three type of word involve in this determination process. The types are nouns, verb and “kata tugas”. There are classes that have been identified for each type of word. These classes are 16 classes to determine pronoun, six classes for referral word and other than those classes are for not referral word. The experiment has been executed using 60 text news from Berita Harian that consist of 385 word “nya” with 278 “nya” as human referral, 35 “nya” as other than human referral and 72 “nya” not referral word. The result shows that the rules are acceptable. The precision for human referral, other than human referral and non referral word are 0.960, 0.824 and 0.627 respectively. Where else recall for pronoun, referral word, and non-referral word are 0.863, 0.412 and 0.973.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信