Using NLG for speech synthesis of mathematical sentences

Alessandro Mazzei, Michele Monticone, Cristian Bernareggi


Abstract
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.
Anthology ID:
W19-8658
Volume:
Proceedings of the 12th International Conference on Natural Language Generation
Month:
October–November
Year:
2019
Address:
Tokyo, Japan
Venues:
INLG | WS
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
463–472
Language:
URL:
https://www.aclweb.org/anthology/W19-8658
DOI:
10.18653/v1/W19-8658
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PDF:
http://aclanthology.lst.uni-saarland.de/W19-8658.pdf