Rule based intelligent system verbalizing mathematical notation

Abstract

An adaptive and adaptable multi-purpose math-to-speech translation system is proposed in the paper. Along with the detailed presentation and design approach for the core math-to-speech translation system, exemplary output and tests are discussed. A scripting extension, providing flexibility of the system and enabling the user to adjust the output translations to his/hers preferences is incorporated into the presented solution. Some unit-tests and adaptable versions of translation rule sets are elaborated and evaluated by means of standard measures of machine translation quality. Designed as a flexible self contained solution, the presented system may be applied for various purposes such as e-learning audio presentation systems, educational tools for non-native speakers or visually impaired people, and may be easily adjusted to different national languages.