Research Article

# On Ambiguity Issues of Converting LaTeX Mathematical Formula to Content MathML

@INPROCEEDINGS{10.1007/978-3-319-28910-6_26, author={Kai Wang and Xinfu Li and Xuedong Tian}, title={On Ambiguity Issues of Converting LaTeX Mathematical Formula to Content MathML}, proceedings={Collaborative Computing: Networking, Applications, and Worksharing. 11th International Conference, CollaborateCom 2015, Wuhan, November 10-11, 2015, China. Proceedings}, proceedings_a={COLLABORATECOM}, year={2016}, month={2}, keywords={Mathematic formula conversion LaTeX Content MathML Ambiguity formula Semantic of formula}, doi={10.1007/978-3-319-28910-6_26} }

- Kai Wang

Xinfu Li

Xuedong Tian

Year: 2016

On Ambiguity Issues of Converting LaTeX Mathematical Formula to Content MathML

COLLABORATECOM

Springer

DOI: 10.1007/978-3-319-28910-6_26

## Abstract

Facing the demand of providing retrieval result with rich semantic information for users in math searching, mathematical formulas of LaTeX are usually converted to Content MathML. For the problem of ambiguity formulas in the process of conversion, a method of semantic disambiguation for mathematics formulas which is based on the operator context was proposed. At first, ambiguity operator was found according to the ambiguity operator mapping table. Then, the ambiguity operator context is got through the array traversal. At last, the specific meaning was conjectured according to the ambiguity operator context. The experimental results show that compared with the type-system the method can make up for its disadvantages in simple formulas aspect and gets a higher average accuracy. In practical application, this method can effectively solve the problem of ambiguity formulas in the process of conversion.