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