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.

Using NLG for speech synthesis of mathematical sentences

Mazzei A.
First
;
Monticone M.
;
Bernareggi C.
Last
2019-01-01

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.
2019
12th International Conference on Natural Language Generation, INLG 2019
Tokyo (Japan)
2019
INLG 2019 - 12th International Conference on Natural Language Generation, Proceedings of the Conference
Association for Computational Linguistics (ACL)
463
472
Mazzei A.; Monticone M.; Bernareggi C.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1758412
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