Classifying MathML Expressions by Multilayer Perceptron Classifying MathML Expressions by Multilayer Perceptron

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Author(s)

    • NAGAO Yuma
    • Graduate School of Library, Information and Media Studies, University of Tsukuba
    • SUZUKI Nobutaka
    • Faculty of Library, Information and Media Science, University of Tsukuba

Abstract

<p>MathML is a standard markup language for describing math expressions. MathML consists of two sets of elements: Presentation Markup and Content Markup. The former is widely used to display math expressions in Web pages, while the latter is more suited to the calculation of math expressions. In this letter, we focus on the former and consider classifying Presentation MathML expressions. Identifying the classes of given Presentation MathML expressions is helpful for several applications, e.g., Presentation to Content MathML conversion, text-to-speech, and so on. We propose a method for classifying Presentation MathML expressions by using multilayer perceptron. Experimental results show that our method classifies MathML expressions with high accuracy.</p>

Journal

  • IEICE Transactions on Information and Systems

    IEICE Transactions on Information and Systems E101.D(7), 1954-1958, 2018

    The Institute of Electronics, Information and Communication Engineers

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