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Morphological Analysis of Manipuri Language

Yumnam Bablu, Ch. Yashawanta, Nameirakpam Amit. Published in Information Systems.

Communications on Applied Electronics
Year of Publication: 2017
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Yumnam Bablu, Ch. Yashawanta, Nameirakpam Amit

Yumnam Bablu, Ch. Yashawanta and Nameirakpam Amit. Morphological Analysis of Manipuri Language. Communications on Applied Electronics 6(8):1-6, March 2017. BibTeX

	author = {Yumnam Bablu and Ch. Yashawanta and Nameirakpam Amit},
	title = {Morphological Analysis of Manipuri Language},
	journal = {Communications on Applied Electronics},
	issue_date = {March 2017},
	volume = {6},
	number = {8},
	month = {Mar},
	year = {2017},
	issn = {2394-4714},
	pages = {1-6},
	numpages = {6},
	url = {},
	doi = {10.5120/cae2017652527},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Morphological analysis forms the basic foundation in NLP applications including syntax parsing Machine Translation (MT), Information Retrieval (IR) and automatic indexing in all languages. It is the field of the linguistics; it can provide valuable information for computer based linguistics task such as lemmatization and studies of internal structure of the words. Computational Morphology is the application of morphological rules in the field of computational linguistics, and it is the emerging area in AI, which studies the structure of words, are formed by combining smaller units of linguistics information, called morphemes: the building blocks of words. Morphological analysis provides about semantic and syntactic role in a sentence. It analyzes the Manipuri word forms and produces several grammatical information associated with the words. The Morphological Analyzer for Manipuri has been tested on 3500 Manipuri words in Shakti Standard format (SSF) using Meitei Mayek as source; thereby an accuracy of 80% has been obtained on a manual check.


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  5. Web enabled Multilingual Manipuri Dictionary, Yumnam Bablu Singh.
  6. Aksher Bharathi, Rajeev Sangal,, ”Natural Language Processing: A Paninian Perspective”.


Manipuri; Meitei Mayek; Computational Morphology, Information Retrieval, SSF