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Rule-Based Approach to Sentence Simplification of Factual Articles

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ICT Systems and Sustainability

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1077))

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Abstract

A model for automatic text simplification by splitting the longer sentences from a given text has been presented. The paper’s proof-of-concept model demonstrated the following capabilities: (i) the average number of characters per sentence in the output text is reduced to 54% of that of the input text, (ii) 90% of the newly generated sentences are comparable with those generated by a human expert. The Flesch-Kincaid Grade Level (FKGL) of text complexity used in this experiment is 16.5, suitable for graduate students. The FKGL of the processed text is 9.7, suited for tenth grade students. Sentence simplification has various applications in natural language processing, including automatic question generating systems. This work is aimed at simplification so as to enhance accessibility of text and its comprehension by learning disabled children.

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Author information

Authors and Affiliations

  1. Podar International School, Mumbai, India

    Aryan Dhar

  2. Department of Computer Science, University of Mumbai, Mumbai, India

    Ambuja Salgaonkar

Authors
  1. Aryan Dhar
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  2. Ambuja Salgaonkar
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Corresponding author

Correspondence to Aryan Dhar .

Editor information

Editors and Affiliations

  1. Belgrade, Serbia

    Milan Tuba

  2. ITM University, Gwalior, India

    Shyam Akashe

  3. Global Knowledge Research Foundation, Ahmedabad, India

    Amit Joshi

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Dhar, A., Salgaonkar, A. (2020). Rule-Based Approach to Sentence Simplification of Factual Articles. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Systems and Sustainability. Advances in Intelligent Systems and Computing, vol 1077. Springer, Singapore. https://doi.org/10.1007/978-981-15-0936-0_20

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