Sentence Reduction for Syntactic Analysis of Compound Sentences in Punjabi Language

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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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
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

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