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
- Venue:
- INLG
- SIG:
- SIGGEN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 463–472
- Language:
- URL:
- https://aclanthology.org/W19-8658
- DOI:
- 10.18653/v1/W19-8658
- Cite (ACL):
- Alessandro Mazzei, Michele Monticone, and Cristian Bernareggi. 2019. Using NLG for speech synthesis of mathematical sentences. In Proceedings of the 12th International Conference on Natural Language Generation, pages 463–472, Tokyo, Japan. Association for Computational Linguistics.
- Cite (Informal):
- Using NLG for speech synthesis of mathematical sentences (Mazzei et al., INLG 2019)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/W19-8658.pdf