Predictive Input Interface of Mathematical Formulas

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.
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Communication dans un congrès
Paula Kotzé; Gary Marsden; Gitte Lindgaard; Janet Wesson; Marco Winckler. 14th International Conference on Human-Computer Interaction (INTERACT), Sep 2013, Cape Town, South Africa. Springer, Lecture Notes in Computer Science, LNCS-8117 (Part I), pp.383-400, 2013, Human-Computer Interaction – INTERACT 2013. 〈10.1007/978-3-642-40483-2_27〉
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Yoshinori Hijikata, Keisuke Horie, Shogo Nishida. Predictive Input Interface of Mathematical Formulas. Paula Kotzé; Gary Marsden; Gitte Lindgaard; Janet Wesson; Marco Winckler. 14th International Conference on Human-Computer Interaction (INTERACT), Sep 2013, Cape Town, South Africa. Springer, Lecture Notes in Computer Science, LNCS-8117 (Part I), pp.383-400, 2013, Human-Computer Interaction – INTERACT 2013. 〈10.1007/978-3-642-40483-2_27〉. 〈hal-01497449〉

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