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Hindi Story Heading Generation Using Proverb Identification

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Advanced Informatics for Computing Research (ICAICR 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 955))

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Abstract

This paper explains 02 methods to generate the headings or titles of Hindi stories. We have developed a title generation tool that takes a story (without any length limit) as input and suggests some titles based on (i) keyword matching and (ii) proverb sensing. In keyword matching approach, it deals with database which includes keywords associated with each proverb. The corpora contain 35135 Hindi words which are classified separately among Nouns, Adjectives, Verbs, Adverbs, and Quantifiers etc. Both algorithms for generating the titles are described in this paper. RD Parts Of Speech Tagger (an open source POS tagger) has been referred and some tagged word enhancements have been done in the POS tagger corpora to improve the efficiency. Our proposed tool was tested on randomly selected 40 common Hindi short stories and the system produces more than 90% relevant (The results were verified and validated by 02 School Hindi Teachers having more than 10 years experience (St. Soldiers Public School, Jalandhar, Punjab, India)) titles using proverb sensing method. This application can be recommended as an informative tool for school going students as well as for school Hindi teachers as an effective pedagogy tool for teaching and learning. It can also be helpful to Hindi newspaper editors, blog writers and technical writers in finding the tentative titles for their articles.

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Author information

Authors and Affiliations

  1. IKG-Punjab Technical University, Kapurthala, Punjab, India

    Leena Jain & Prateek Agrawal

  2. Lovely Professional University, Phagwara, Punjab, India

    Prateek Agrawal

Authors
  1. Leena Jain
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  2. Prateek Agrawal
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Corresponding author

Correspondence to Prateek Agrawal .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Maharshi Dayanand University, Rohtak, Haryana, India

    Ashish Kumar Luhach

  2. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

  3. National Chung Cheng University, Minxiong Township, Chiayi County, Taiwan

    Pao-Ann Hsiung

  4. Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Kamarul Bin Ghazali Hawari

  5. Saint Mary's University, Halifax, NS, Canada

    Pawan Lingras

  6. Department of Computer Science and Engineering, Jaypee University of Information Technology, Kandaghat, India

    Pradeep Kumar Singh

Appendices

Story 1

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Story 2

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Story 3

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Story 4

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Story 5

figure h

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Jain, L., Agrawal, P. (2019). Hindi Story Heading Generation Using Proverb Identification. In: Luhach, A., Singh, D., Hsiung, PA., Hawari, K., Lingras, P., Singh, P. (eds) Advanced Informatics for Computing Research. ICAICR 2018. Communications in Computer and Information Science, vol 955. Springer, Singapore. https://doi.org/10.1007/978-981-13-3140-4_35

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  • DOI: https://doi.org/10.1007/978-981-13-3140-4_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3139-8

  • Online ISBN: 978-981-13-3140-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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