%0 Conference Proceedings
%T Predictive Input Interface of Mathematical Formulas
%+ Graduate School of Information Science and Electrical Engineering
%A Hijikata, Yoshinori
%A Horie, Keisuke
%A Nishida, Shogo
%Z Part 1: Long and Short Papers
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 14th International Conference on Human-Computer Interaction (INTERACT)
%C Cape Town, South Africa
%Y Paula Kotzé
%Y Gary Marsden
%Y Gitte Lindgaard
%Y Janet Wesson
%Y Marco Winckler
%I Springer
%3 Human-Computer Interaction – INTERACT 2013
%V LNCS-8117
%N Part I
%P 383-400
%8 2013-09-02
%D 2013
%R 10.1007/978-3-642-40483-2_27
%K mathematical input
%K probabilistic language model
%K predictive input
%K N-gram model
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 13
%2 https://inria.hal.science/hal-01497449/document
%2 https://inria.hal.science/hal-01497449/file/978-3-642-40483-2_27_Chapter.pdf
%L hal-01497449
%U https://inria.hal.science/hal-01497449
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC13
%~ IFIP-LNCS-8117
%~ IFIP-INTERACT