• DocumentCode
    1603066
  • Title

    Grammar Teaching Tools for Tamil language

  • Author

    Dhanalakshmi, V. ; Kumar, Anand M. ; Rekha, R.U. ; Soman, K.P. ; Rajendran, S.

  • Author_Institution
    Comput. Eng. & Networking, Amrita Vishwa Vidyapeetham, Coimbatore, India
  • fYear
    2010
  • Firstpage
    85
  • Lastpage
    88
  • 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.
  • Keywords
    computer aided instruction; grammars; learning (artificial intelligence); natural languages; user interfaces; Tamil language; chunker; computer assisted grammar teaching tools; dependency parser; grammar rules; machine learning; parts of speech tagger; user interface; word level analysis; Application software; Computer aided instruction; Computer networks; Education; Feedback; Machine learning; Natural languages; Speech analysis; Tagging; User interfaces; Grammar; Machine Learning; NLP-Tool; Teaching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technology for Education (T4E), 2010 International Conference on
  • Conference_Location
    Mumbai
  • Print_ISBN
    978-1-4244-7362-5
  • Electronic_ISBN
    978-1-4244-7361-8
  • Type

    conf

  • DOI
    10.1109/T4E.2010.5550056
  • Filename
    5550056