Manipuri Morphological Analysis

Authors

  • Y. Bablu Singh Computer Science Department, Manipur University, Manipur, India
  • Th. Mamata Devi Computer Science Department, Manipur University, Manipur, India
  • Ch. Yashawanta Singh Linguistics Department, Manipur University, Canchipur, Manipur, India

DOI:

https://doi.org/10.51983/ajcst-2020.9.2.2174

Keywords:

Meitei Mayek, Morphological analysis, Machine Translation, Computational Morphology, Information Retrieval, SSF

Abstract

Morphological analysis is the basic foundation in Natural Language Processing applications including Syntax Parsing, Machine Translation (MT), Information Retrieval (IR) and Automatic Indexing. Morphological Analysis can provide valuable information for computer based linguistics task such as Lemmatization and studies of internal structure of the words or the feature values of the word. 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, which are formed by combining smaller units of linguistics information, called morphemes: the building blocks of words. It provides about Semantic and Syntactic role in a sentence. It can analyze the Manipuri word forms and produces grammatical information, which is associated with the lexicon. Morphological Analyzer for Manipuri language has been tested on 4500 Manipuri lexicons in Shakti Standard Format (SSF) using Meitei Mayek Unicode as source; thereby an accuracy of 84% has been obtained on a manual check.

References

Grieson, Linguistics Survey of India,Vol.III part III,1973.

Singh Ch.Yashawanta , Manipuri Grammar, Rajesh Publications”, New Delhi, 2000.

A.Sarangi, Language and Politics in India, Oxford University Press, Ne Delhi, pp. 27, 2009.

K.Nikhil, I.Abhilash and D.M.Sharma, “Hindi Derivational Morphological Analyzer. In Proceedings of SIGMORPHON, 2012.

Yumnam Bablu Singh, Web enabled Multilingual Manipuri Dictionary,

Aksher Bharathi and Rajeev Sangal, et.al, “Natural Language Processing: A Paninian Perspective”.

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Published

05-11-2020

How to Cite

Bablu Singh, Y., Mamata Devi, T., & Yashawanta Singh, . C. (2020). Manipuri Morphological Analysis. Asian Journal of Computer Science and Technology, 9(2), 4–10. https://doi.org/10.51983/ajcst-2020.9.2.2174