An Efficient & Learning Approach of POS Tagging using Rule-Based for Devanagari Script
Madhuri Sharma1, Medhavi Malik2, Neha Gupta3
1Madhuri Sharma, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
2Medhavi Malik, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
3Neha Gupta, Department of Computer Science and Engineering, Dr. K. N. Modi Institute of Engineering & Technology, Uttar Pradesh, India.
Manuscript received on 15 May 2019 | Revised Manuscript received on 22 May 2019 | Manuscript Published on 10 July 2019 | PP: 181-182 | Volume-8 Issue-7C2 May 2019 | Retrieval Number: G10420587C219/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, we present a novel approach for Devanagari Script which can help in various applications like:- Named Entity Resolution, Sentiment Analysis, and Question Answer. This framework works on the following approaches: Learning Task, Performance Efficiency Improvement Task. This system will automatically learn its rules and the main focus is on the tagger which automatically identifies, & resolves its shortcomings which will incrementally increased the performance. The basic problems with POS tagging for Indian Languages are very difficult due to some constraints in there. But with some rules and overcoming of limitations restrictions this can be solved. User provides the sentence which goes through a series of stages. In each stage, system also learns the new rules and provides the better results.
Keywords: Part of Speech Tagging, Devanagari Script.
Scope of the Article: Computer Science and Its Applications