International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 183 - Number 39 |
Year of Publication: 2021 |
Authors: Pardhi Tufan Singh, Petkar Harshalata |
10.5120/ijca2021921791 |
Pardhi Tufan Singh, Petkar Harshalata . A Review on Morph Analyzer for Indian Languages. International Journal of Computer Applications. 183, 39 ( Nov 2021), 38-42. DOI=10.5120/ijca2021921791
Computational linguistics is the applied aspect of linguistics that has Morphological Analyzer (MA) as a fundamental link in developing many applications in the field of natural language processing. It’s a crucial stage where words are selected to be analyzed down to the minimum meaningful unit of that language. There has been a substantial development of morphological analyzers and its applications indicating all possible approaches to rule-based as well as machine learning. In the present paper, literature review has been accomplished for morphological analyzer in Indian languages including Hindi, Marathi, Sanskrit, Kokani, Malvi, Sambhalpuri, Kashmiri, Tamil, Manipuri, Assamese, Punjabi and Oriya which is foundation to explore the morphology of Pawari Language.