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Evaluation of a Predictive Algorithm for Converting Linear Strings to Mathematical Formulae for an Input Method

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Mathematical Aspects of Computer and Information Sciences (MACIS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9582))

Abstract

Recently, some computer-aided assessment (CAA) systems are able to assess learner’s answers using mathematical expressions. However, the standard input method for mathematics is cumbersome for novice learners. In 2011, the last author Fukui proposed a new mathematical input method similar to the ones used for inputting Japanese characters in many systems. This method allows users to input mathematical expressions using colloquial-style mathematical string. However, users must convert each element contained in the colloquial-style mathematical string. In this study, we propose a predictive algorithm for converting the whole mathematical formulae.

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Notes

  1. 1.

    In this article, “operator” is used in the sense of operating on, i.e., performing actions on elements in terms of their arrangements for two-dimensional mathematical notation.

References

  1. Sangwin, C.J.: Computer Aided Assessment of Mathematics Using STACK. In: Proceedings of ICME, vol.12 (2012)

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  4. Fukui, T., Shirai, S.: Predictive algorithm from linear string to mathematical formulae for math input method. In: Proceedings of 21st Conference on Applications of Computer Algebra 2015 in Kalamata, Greece, pp. 17–22 (2015)

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Correspondence to Shizuka Shirai .

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Shirai, S., Fukui, T. (2016). Evaluation of a Predictive Algorithm for Converting Linear Strings to Mathematical Formulae for an Input Method. In: Kotsireas, I., Rump, S., Yap, C. (eds) Mathematical Aspects of Computer and Information Sciences. MACIS 2015. Lecture Notes in Computer Science(), vol 9582. Springer, Cham. https://doi.org/10.1007/978-3-319-32859-1_36

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  • DOI: https://doi.org/10.1007/978-3-319-32859-1_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32858-4

  • Online ISBN: 978-3-319-32859-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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