Using NLG for speech synthesis of mathematical sentences
Alessandro Mazzei, Michele Monticone, Cristian Bernareggi · 2019
People with sight impairments can access to a mathematical expression by using its L A T E X source.However, this mechanisms have several drawbacks: (1) it assumes the knowledge of the L A T E X, (2) it is slow, since L A T E X is verbose and (3) it is error-prone since L A T E X 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.