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Evaluation of Automatic Text Visualization Systems: A Case Study

  • Priyanka JainEmail author
  • R. P. Bhavsar
  • Karimullah Shaik
  • Ajai Kumar
  • B. V. Pawar
  • Hemant Darbari
  • Virendrakumar C. Bhavsar
Conference paper
  • 61 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1141)

Abstract

体育赛事投注记录we have developed an automatic text visualization (atv) system, named preksha, that takes natural language text in hindi as input and produces a run-time interactive 3d scene based on it. preksha is the only atv system which deals with complex processing of morphologically rich input in hindi, a language of free-word-order nature. its design and approach make preksha extendible to other indian languages. in this paper, we present challenges for evaluation of an atv system and propose a subjective evaluation methodology. this evaluation design includes intelligibility, fidelity and complexity aspects of the scenes generated. subsequently, preksha is evaluated by using a total of 10,220 user responses through an online evaluation survey. the results show that preksha is able to generate scenes with very high levels of intelligibility and fidelity.

Keywords

Text-to-scene conversion Automatic text visualization Natural language processing Cognitive methods 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2021

Authors and Affiliations

  • Priyanka Jain
    • 1
    Email author
  • R. P. Bhavsar
    • 2
  • Karimullah Shaik
    • 1
  • Ajai Kumar
    • 1
  • B. V. Pawar
    • 2
  • Hemant Darbari
    • 1
  • Virendrakumar C. Bhavsar
    • 3
  1. 1.Centre for Development of Advanced ComputingPuneIndia
  2. 2.KBC-North Maharashtra UniversityJalgaonIndia
  3. 3.University of New BrunswickFrederictonCanada

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