Semantic Scholar Open Access 2019 2132 sitasi

Using NLG for speech synthesis of mathematical sentences

Alessandro Mazzei Michele Monticone Cristian Bernareggi

Lihat Sumber DOI

Abstrak

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.

Topik & Kata Kunci

Computer Science

Penulis (3)

Alessandro Mazzei

Michele Monticone

Cristian Bernareggi

Format Sitasi

APA MLA BibTeX

Mazzei, A., Monticone, M., Bernareggi, C. (2019). Using NLG for speech synthesis of mathematical sentences. https://doi.org/10.18653/v1/W19-8658

Akses Cepat

Lihat di Sumber doi.org/10.18653/v1/W19-8658

Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Total Sitasi: 2132×
Sumber Database: Semantic Scholar
DOI: 10.18653/v1/W19-8658
Akses: Open Access ✓