介词的句法和语义范畴识别算法:Case of Over

Yukiko Sasaki Alam
{"title":"介词的句法和语义范畴识别算法:Case of Over","authors":"Yukiko Sasaki Alam","doi":"10.1109/ICCTA.2007.24","DOIUrl":null,"url":null,"abstract":"This paper proposes an algorithm for assigning the syntactic categories of over, many uses of which are not used as prepositions. The algorithm, enriched for the semantic capacity from earlier studies, identifies four syntactic categories of over and eleven meanings of the prepositional uses. The ability of the algorithm was tested manually by using five hundred instances of over from British National Corpus. The results are encouraging, with over 95 percent of the instances being correctly classified. This study, while pointing to an ideal direction, will reveal many important points to consider in natural language processing","PeriodicalId":308247,"journal":{"name":"2007 International Conference on Computing: Theory and Applications (ICCTA'07)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Algorithm for Identifying the Syntactic and Semantic Categories of Prepositions: Case of Over\",\"authors\":\"Yukiko Sasaki Alam\",\"doi\":\"10.1109/ICCTA.2007.24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an algorithm for assigning the syntactic categories of over, many uses of which are not used as prepositions. The algorithm, enriched for the semantic capacity from earlier studies, identifies four syntactic categories of over and eleven meanings of the prepositional uses. The ability of the algorithm was tested manually by using five hundred instances of over from British National Corpus. The results are encouraging, with over 95 percent of the instances being correctly classified. This study, while pointing to an ideal direction, will reveal many important points to consider in natural language processing\",\"PeriodicalId\":308247,\"journal\":{\"name\":\"2007 International Conference on Computing: Theory and Applications (ICCTA'07)\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-03-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Computing: Theory and Applications (ICCTA'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCTA.2007.24\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Computing: Theory and Applications (ICCTA'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCTA.2007.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

本文提出了一种分配over的句法范畴的算法,其中over的许多用法不用作介词。该算法在前期研究的基础上丰富了语义能力,确定了介词用法的四种句法类别和十一种意义。通过使用来自英国国家语料库的500个实例,人工测试了该算法的能力。结果令人鼓舞,超过95%的实例被正确分类。这项研究虽然指出了一个理想的方向,但将揭示自然语言处理中需要考虑的许多重要问题
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithm for Identifying the Syntactic and Semantic Categories of Prepositions: Case of Over
This paper proposes an algorithm for assigning the syntactic categories of over, many uses of which are not used as prepositions. The algorithm, enriched for the semantic capacity from earlier studies, identifies four syntactic categories of over and eleven meanings of the prepositional uses. The ability of the algorithm was tested manually by using five hundred instances of over from British National Corpus. The results are encouraging, with over 95 percent of the instances being correctly classified. This study, while pointing to an ideal direction, will reveal many important points to consider in natural language processing
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