{"title":"Implementation of the rule-based approach for the resolution of strong personal anaphora in Pashto discourse","authors":"R. Ali, M.A. Khan, R. Ahmad","doi":"10.1109/INMIC.2008.4777790","DOIUrl":null,"url":null,"abstract":"The rationale behind anaphora resolution in Pashto language is to make it easier for computer to comprehend and further process Pashto text accurately. This paper is focused on the implementation of the algorithm (Ali et al., 2007) and modifying few of its rules. It also adds some new rules and eliminates an undesirable one to enhance the accuracy and efficiency. The algorithm uses a rule-based approach for the resolution of strong personal pronouns of Pashto language in their direct, oblique, and possessive cases. It has been implemented in Visual C#.NET and tested on real world text taken from different genres. The modified algorithm increases the accuracy from 80% to 85.14%.","PeriodicalId":112530,"journal":{"name":"2008 IEEE International Multitopic Conference","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Multitopic Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INMIC.2008.4777790","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The rationale behind anaphora resolution in Pashto language is to make it easier for computer to comprehend and further process Pashto text accurately. This paper is focused on the implementation of the algorithm (Ali et al., 2007) and modifying few of its rules. It also adds some new rules and eliminates an undesirable one to enhance the accuracy and efficiency. The algorithm uses a rule-based approach for the resolution of strong personal pronouns of Pashto language in their direct, oblique, and possessive cases. It has been implemented in Visual C#.NET and tested on real world text taken from different genres. The modified algorithm increases the accuracy from 80% to 85.14%.
普什图语回指解析的基本原理是使计算机更容易准确地理解和进一步处理普什图语文本。本文的重点是该算法的实现(Ali et al.， 2007)，并修改了其中的一些规则。它还增加了一些新的规则，并消除了一些不需要的规则，以提高准确性和效率。该算法采用基于规则的方法对普什图语中直接、间接和所有格的强人称代词进行解析。它已经在Visual c#中实现。NET和测试了现实世界的文本从不同的体裁。改进后的算法将准确率从80%提高到85.14%。
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