An adaptive and adaptable multipurpose math-to-speech translation system is proposed in the paper. Along with the detailed presentation and design approach for the core math-tospeech 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.

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In the paper an algorithm for an automatic recognition of the structure of mathematical formulae saved in a graphical form has been presented. The described method is based on 2D graph grammars, although the other approaches were mentioned. Moreover, the heuristic rules used during the simplification of the initial data structure, the example graph grammar rules, the priority system used within the production of the rules, and the test application that allows the step-by-step analysis of an entire recognition process, were discussed. The solution introduced in the paper allows to analyse web pages and the other documents containing a math notation saved in graphics formats. It will also help in the development of systems indexing, searching and translating such documents to formats used by visually impaired people.