Abstract: Search and indexing systems bear a significant quality called word stemming, is lump of content excavating requests, IR frameworks and natural language handling frameworks. The fundamental topic in the search and indexing through time is to upgrade infer via robotized diminishing and fussing of the words into word roots. From index term by evacuating any connected prefixes and postfixes, Stemming is done to proceeding piece of work of index word, and more extensive idea than the real word is spoken by trunk. In an IR framework, the numeral of recovered archives is expanded by stemming process.

Sanaullah Memon, Ghulam Ali Mallah, K.N.Memon, AG Shaikh, Sunny K.Aasoori and Faheem Ul Hussain Dehraj, “Comparative Study of Truncating and Statistical Stemming Algorithms” International Journal of Advanced Computer Science and Applications(IJACSA), 11(2), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110272

@article{Memon2020,
title = {Comparative Study of Truncating and Statistical Stemming Algorithms},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110272},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110272},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {2},
author = {Sanaullah Memon and Ghulam Ali Mallah and K.N.Memon and AG Shaikh and Sunny K.Aasoori and Faheem Ul Hussain Dehraj}
}