V. Dhanalakshmi, M. A. Kumar, R. Rekha, K. Soman, S. Rajendran
{"title":"Grammar Teaching Tools for Tamil language","authors":"V. Dhanalakshmi, M. A. Kumar, R. Rekha, K. Soman, S. Rajendran","doi":"10.1109/T4E.2010.5550056","DOIUrl":null,"url":null,"abstract":"Grammar plays an important role in good communication. Learning grammar rules for Tamil language is very difficult as they have a very rich morphological structure which is agglutinative. Students get annoyed with the language rules and the old teaching methodology. Computer assisted Grammar Teaching Tools makes students to learn faster and better. NLP applications are used to generate such tools for curriculum enhancement of the students. In this paper we present the Grammar teaching tools in the sentence and word analyzing level for Tamil Language. The tools like Parts of speech Tagger, Chunker and Dependency parser for the sentence level analysis and Morphological Analyzer and Generator for the word level analysis were developed using machine learning based technology. These tools were very useful for second language learners to understand the word and sentence construction in a non-conceptual way. An user interface is developed for the practical usage of the tool.","PeriodicalId":266595,"journal":{"name":"2010 International Conference on Technology for Education","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Technology for Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/T4E.2010.5550056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Grammar plays an important role in good communication. Learning grammar rules for Tamil language is very difficult as they have a very rich morphological structure which is agglutinative. Students get annoyed with the language rules and the old teaching methodology. Computer assisted Grammar Teaching Tools makes students to learn faster and better. NLP applications are used to generate such tools for curriculum enhancement of the students. In this paper we present the Grammar teaching tools in the sentence and word analyzing level for Tamil Language. The tools like Parts of speech Tagger, Chunker and Dependency parser for the sentence level analysis and Morphological Analyzer and Generator for the word level analysis were developed using machine learning based technology. These tools were very useful for second language learners to understand the word and sentence construction in a non-conceptual way. An user interface is developed for the practical usage of the tool.