Research Article
Sentence Reduction for Syntactic Analysis of Compound Sentences in Punjabi Language
@ARTICLE{10.4108/eai.13-7-2018.156440, author={S.K Sharma}, title={Sentence Reduction for Syntactic Analysis of Compound Sentences in Punjabi Language}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={6}, number={20}, publisher={EAI}, journal_a={SIS}, year={2019}, month={1}, keywords={Grammar Checker, Compound Sentences, Sentence simplification, Punjabi Sentences}, doi={10.4108/eai.13-7-2018.156440} }- S.K Sharma
Year: 2019
Sentence Reduction for Syntactic Analysis of Compound Sentences in Punjabi Language
SIS
EAI
DOI: 10.4108/eai.13-7-2018.156440
Abstract
Objective: This research paper is an attempt to develop a syntactic analysis system for compound sentences of Punjabi language. Methods/Statistical Analysis: Sentence simplification approach has been used for splitting compound sentences into simple sentences and then analyzing these simple sentences for syntactical error. A full form lexicon based morph, HMM based POS tagger and set of rules have been used for identification of grammatical mistakes. Findings: On testing an overall precision as 93.30, recall as 97.32 and F-measure as 95.25 is reported by the system. Application/Improvements: the system shows better performance on comparing it with existing Punjabi grammar (Precision=76.79, Recall=87.08) and Myanmar grammar checker that works on compound sentence and shows precision 83.75%.
Copyright © 2019 S.K Sharma et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
