Sharma, S.K (2019) Sentence Reduction for Syntactic Analysis of Compound Sentences in Punjabi Language. EAI Endorsed Transactions on Scalable Information Systems, 6 (20): e4. ISSN 2032-9407
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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%.
Item Type: | Article |
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Uncontrolled Keywords: | Grammar Checker, Compound Sentences, Sentence simplification, Punjabi Sentences |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science QA75 Electronic computers. Computer science |
Depositing User: | EAI Editor II. |
Date Deposited: | 08 Oct 2020 13:57 |
Last Modified: | 08 Oct 2020 13:57 |
URI: | https://eprints.eudl.eu/id/eprint/715 |