Abstract
Currently, inputting mathematical formulas into a document using a PC requires more effort by users than inputting normal text. This fact inhibits the spreading of mathematical formulas as internet contents. We propose a method for predicting user's inputs of mathematical formulas using an N-gram model: a popular probabilistic language model in natural language processing. Mathematical formulas are usually presented in hierarchical structure. Therefore, our method incorporates hierarchical information of mathematical formulas to create a prediction model. We try to achieve high prediction accuracy of inputting characters for mathematical formulas. © 2013 IFIP International Federation for Information Processing.
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CITATION STYLE
Hijikata, Y., Horie, K., & Nishida, S. (2013). Predictive input interface of mathematical formulas. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8117 LNCS, pp. 383–400). https://doi.org/10.1007/978-3-642-40483-2_27
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