Hindi POS Tagger Using Naive Stemming : Harnessing Morphological Information Without Extensive Linguistic Knowledge

May 2021
Vol-7, Issue-3
Paper ID: 14229
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer science and engineering
Keywords
CC CD EX JJ MD etc..
Abstract
Part of Speech tagging for Indian Lan- guages in general and Hindi in particu- lar is not a very widely explored territory. There have been many attempts at devel- oping a good POS tagger for Hindi, but the morphological complexity of the language makes it a hard nut to crack. Some of the best taggers available for Indian Lan- guages employ hybrids of machine learn- ing or stochastic methods and linguistic knowledge. Though, the results achieved using such methods are good, there prac- ticability for other inflective Indian Lan- guages is reduced due to their heavy de- pendence on linguistic knowledge. Even though taggers can achieve very good re- sults if provided good morphological in- formation, the cost of creating these re- sources renders such methods impractical.

Author Information

# Name Institute / Affiliation
1 Amita Mahajan Ashwini vairalkar darshana sonawane G h Raisoni Institute of engineering and management jalgaon
2 Ashwini vairalkar G h Raisoni Institute of engineering and management jalgaon
3 Darshana Sonawane G h Raisoni Institute of engineering and management jalgaon

How to Cite

Use the following formats to cite this article in your research.

APA Style
sonawane, Amita Mahajan Ashwini vairalkar darshana, vairalkar, Ashwini, & Sonawane, Darshana (2021). Hindi POS Tagger Using Naive Stemming : Harnessing Morphological Information Without Extensive Linguistic Knowledge. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 502-503.
MLA Style
sonawane, Amita Mahajan Ashwini vairalkar darshana, et al. "Hindi POS Tagger Using Naive Stemming : Harnessing Morphological Information Without Extensive Linguistic Knowledge." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 502-503.
IEEE Style
Amita Mahajan Ashwini vairalkar darshana sonawane, Ashwini vairalkar, and Darshana Sonawane, "Hindi POS Tagger Using Naive Stemming : Harnessing Morphological Information Without Extensive Linguistic Knowledge," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 502-503, 2021.
Vancouver Style
sonawane Amita Mahajan Ashwini vairalkar darshana, vairalkar Ashwini, Sonawane Darshana. Hindi POS Tagger Using Naive Stemming : Harnessing Morphological Information Without Extensive Linguistic Knowledge. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):502-503.
Harvard Style
sonawane, Amita Mahajan Ashwini vairalkar darshana, vairalkar, Ashwini, & Sonawane, Darshana (2021) 'Hindi POS Tagger Using Naive Stemming : Harnessing Morphological Information Without Extensive Linguistic Knowledge', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 502-503.
Chicago Style
sonawane, Amita Mahajan Ashwini vairalkar darshana, Ashwini vairalkar, and Darshana Sonawane. "Hindi POS Tagger Using Naive Stemming : Harnessing Morphological Information Without Extensive Linguistic Knowledge." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 502-503.
Turabian Style
sonawane, Amita Mahajan Ashwini vairalkar darshana, Ashwini vairalkar, and Darshana Sonawane. "Hindi POS Tagger Using Naive Stemming : Harnessing Morphological Information Without Extensive Linguistic Knowledge." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 502-503.

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