sis 20(26): e10

Research Article

Simplification of Punjabi Sentences: Converting Complex Participial Sentences into Simple Sentences

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  • @ARTICLE{10.4108/eai.13-7-2018.163338,
        author={R. M. Jindal and V. Rana and S. K. Sharma},
        title={Simplification of Punjabi Sentences: Converting Complex Participial Sentences into Simple Sentences},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={7},
        number={26},
        publisher={EAI},
        journal_a={SIS},
        year={2020},
        month={2},
        keywords={Paraphrasing, sentence simplification, participial sentences, Punjabi language, complex sentences},
        doi={10.4108/eai.13-7-2018.163338}
    }
    
  • R. M. Jindal
    V. Rana
    S. K. Sharma
    Year: 2020
    Simplification of Punjabi Sentences: Converting Complex Participial Sentences into Simple Sentences
    SIS
    EAI
    DOI: 10.4108/eai.13-7-2018.163338
R. M. Jindal1,*, V. Rana1, S. K. Sharma2
  • 1: Sant Baba Bhag Singh University, Jalandhar
  • 2: DAV University, Jalandhar
*Contact email: Rmjindal2002@yahoo.co.in

Abstract

INTRODUCTION: In this world of internet and artificial intelligence, Natural Language Processing has emerged as most demanding research area. Under Natural Language Processing, sentence simplification is one of the research area that deals with simplification or conversion of complex sentences in to simple sentences.

OBJECTIVES: In this research article, author has proposed a novel approach for conversion (simplification) of complex sentences (participial type) of Punjabi language into easily understandable simple sentences.

METHODS: Author performed lexical and morphological simplification by using morphological features of the language. Morphological features are used to identify the participial type complex sentences.

RESULTS: on testing the proposed algorithm, a precision of 96.39%, recall of 91.37% and Fmeasure as 93.79% was reported.

CONCLUSION: the developed system can be helpful for Aphasic and Dyslexia readers and can be used as subpart for machine translation system, summarization system and other Natural Language Processing applications.