Abstract: Computational Linguistic refers to the development of the computer systems that deal with human languages. In this paper, different Computational Linguistic Techniques such as Parts of Speech (POS) tagger, ‘Sandhi’ Splitter, ‘Alankaar’ Finder and ‘Samaas’ Finder were considered. After a thorough literature review, it was found that fifteen techniques were used for POS tagging, nine techniques were used for ‘Sandhi’ splitting, one work is done for ‘Alankaar’ finder and absolutely no techniques are available for ‘Samaas’ finder for the Indo-Aryan as well as Dravidian languages. Analysis shows that Rule Based Approach (RBA) and Hidden Markov Model (HMM) are frequently used for POS tagging, RBA is most frequently used for ‘Sandhi’ Splitter, the general Human Intelligence (HI) is used for ‘Alankaar’ Finder and no ‘Samaas’ finder technique is available for any Indian language.

Hema Gaikwad and Jatinderkumar R. Saini, “On State-of-the-art of POS Tagger, ‘Sandhi’ Splitter, ‘Alankaar’ Finder and ‘Samaas’ Finder for Indo-Aryan and Dravidian Languages” International Journal of Advanced Computer Science and Applications(IJACSA), 12(4), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120455

@article{Gaikwad2021,
title = {On State-of-the-art of POS Tagger, ‘Sandhi’ Splitter, ‘Alankaar’ Finder and ‘Samaas’ Finder for Indo-Aryan and Dravidian Languages},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120455},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120455},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {4},
author = {Hema Gaikwad and Jatinderkumar R. Saini}
}