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Natural Language Understanding for Grading Essay Questions in Persian Language

  • Conference paper
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data (NLP-NABD 2013, CCL 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8202))

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Abstract

Many intelligent systems are intended to communicate with users through natural language. Understanding the natural language by the computer is one of the most essential operations in natural language processing. One of the applications of natural languages is in the exams having essay questions. The objective of this paper is to propose a method for designing an examiner machine and creating an intelligent evaluator to grade the users’ given answers to the essay questions. Algorithms such as “phrase structure” are weak at natural language processing in “free word order languages” such as Persian. The recommended method in this paper is based on “dependency grammar” and is applicable for various natural languages. Reduction in evaluation time and increase in the accuracy are advantages of the proposed method.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, University of Jahad, Shahrekord, Iran

    Iman Mokhtari-Fard

Authors
  1. Iman Mokhtari-Fard
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, 100084, Beijing, China

    Maosong Sun

  2. Horizon Doctoral Training Centre, School of Computer Science, University of Nottingham, NG8 1BB, Nottingham, UK

    Min Zhang

  3. Google Inc., Mountain View, CA, USA

    Dekang Lin

  4. Baidu Inc., Beijing, China

    Haifeng Wang

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Mokhtari-Fard, I. (2013). Natural Language Understanding for Grading Essay Questions in Persian Language. In: Sun, M., Zhang, M., Lin, D., Wang, H. (eds) Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data. NLP-NABD CCL 2013 2013. Lecture Notes in Computer Science(), vol 8202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41491-6_14

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  • DOI: https://doi.org/10.1007/978-3-642-41491-6_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41490-9

  • Online ISBN: 978-3-642-41491-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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