• DOI:10.1109/ARTCom.2009.184
Corpus ID: 10519701

Morphological Analyzer for Agglutinative Languages Using Machine Learning Approaches

@inproceedings{Dhanalakshmi2009MorphologicalAF,
  title={Morphological Analyzer for Agglutinative Languages Using Machine Learning Approaches},
  author={V. Dhanalakshmi and M. A. Kumar and R. Rekha and C. Kumar and K. Soman and S. Rajendran},
  booktitle={ARTCom},
  year={2009}
}

• V. Dhanalakshmi, M. A. Kumar, +3 authors S. Rajendran
• Published in ARTCom 2009
• Computer Science

This paper is based on morphological analyzer using machine learning approach for complex agglutinative natural languages. Morphological analysis is concerned with retrieving the structure, the syntactic and morphological properties or the meaning of a morphologically complex word. The morphology structure of agglutinative language is unique and capturing its complexity in a machine analyzable and generatable format is a challenging job. Generally rule based approaches are used for building… Expand

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