Cristian Bernareggi
2019
Using NLG for speech synthesis of mathematical sentences
Alessandro Mazzei

Michele Monticone

Cristian Bernareggi
Proceedings of the 12th International Conference on Natural Language Generation
People with sight impairments can access to a mathematical expression by using its LaTeX source. However, this mechanisms have several drawbacks: (1) it assumes the knowledge of the LaTeX, (2) it is slow, since LaTeX is verbose and (3) it is errorprone since LATEX is a typographical language. In this paper we study the design of a natural language generation system for producing a mathematical sentence, i.e. a natural language sentence expressing the semantics of a mathematical expression. Moreover, we describe the main results of a first human based evaluation experiment of the system for Italian language.