A deep learning approach for Malayalam morphological analysis at character level-Reference-Cited by-同舟云学术

A deep learning approach for Malayalam morphological analysis at character level

Published:2018 Issue: Volume:132 Page:47-54
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

B Premjith,K.P. Soman,Kumar M Anand

Publisher

Elsevier BV

Subject

General Engineering

Reference16 articles.

1. A. R. Raja Raja Varma. (2000) “Keralapaanineeyam.” D. C Books Kottayam-12, India.

2. Antony, P. J, and Soman, K. P. (2012) “Computational morphology and natural language parsing for Indian languages: a literature survey.” International Journal of Scientific and Engineering Research 3.

3. Rajeev, R. R, and Sherly, E. (2007) “A suffix Stripping based Morph Analyser for Malayalam Language.” in Proceedings of 20th Kerala Science Congress (pp. 482-484).

4. Saranya, S. K. (2008) “Morphological analyzer for Malayalam verbs.” Unpublished M. Tech Thesis, Amrita School of Engineering, Coimbatore.

5. Malayalam Noun and Verb Morphological Analyzer: A Simple Approach.;Valath;International Journal of Science and Research,2014

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