Classifying MathML Expressions by Multilayer Perceptron

Yuma NAGAO  Nobutaka SUZUKI  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E101-D   No.7   pp.1954-1958
Publication Date: 2018/07/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2017EDL8211
Type of Manuscript: LETTER
Category: Data Engineering, Web Information Systems
Keyword: 
MathML,  classification,  multilayer perceptron,  

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Summary: 
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.