An Approach to Natural Language Equation Reading in Digital Talking Books

Abstract

Mathematic equations are, of necessity, a must in any mathematic textbooks but also in physics, communications and, in general, in any technology related texts. Furthermore, their usage in Digital Talking Books (DTB)[1] can be eased if its corresponding counterpart in both text and/or spoken forms can be automatically generated. Therefore, an automatic system to translate or convert them into text and latter to speech is needed to broaden the scope of the DTBs. DTBs are based on different types of data, structured according to some standard. They also require a player or browser that allows users to navigate, to index and to retrieve information (text, sound, images, etc.). The player was developed using a model based framework for adaptive multi-modal environments [2]. Besides supporting the features described in the DTB standard, the player introduces features complementing the synchronized presentation of text and audio, such as: addition of content related images; variable synchronization units, ranging from word to paragraph; annotation controlled navigation; definition of new reading paths; adaptation of the visual elements; behavioral adaptation reflecting user interaction, amongst others.