Michele Monticone


Fixing paper assignments

  1. Please select all papers that belong to the same person.
  2. Indicate below which author they should be assigned to.
Provide a valid ORCID iD here. This will be used to match future papers to this author.
Provide the name of the school or the university where the author has received or will receive their highest degree (e.g., Ph.D. institution for researchers, or current affiliation for students). This will be used to form the new author page ID, if needed.

TODO: "submit" and "cancel" buttons here


2019

pdf bib
Evaluating Speech Synthesis on Mathematical Sentences
Alessandro Mazzei | Michele Monticone | Cristian Bernareggi
Proceedings of the Sixth Italian Conference on Computational Linguistics (CLiC-it 2019)

pdf bib
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 error-prone 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.