A deep learning approach for Malayalam morphological analysis at character level

@article{Premjith2018ADL,
  title={A deep learning approach for Malayalam morphological analysis at character level},
  author={B. Premjith and K. Soman and M. A. Kumar},
  journal={Procedia Computer Science},
  year={2018},
  volume={132},
  pages={47-54}
}
Abstract Morphological analysis is one of the fundamental tasks in computational processing of natural languages. It is the study of the rules of word construction by analysing the syntactic properties and morphological information. In order to perform this task, morphemes have to be separated from the original word. This process is termed as sandhi splitting. Sandhi splitting is important in the morphological analysis of agglutinative languages like Malayalam, because of the richness in… Expand
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