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In this paper, we discuss the need for improved user interfaces for editing mathematical text, focusing of three types (individuals suffering from various disabilities, people relying heaving on on-line learning systems and ones relying on using portable devices) of people for whom conventional editing approaches are not very satisfactory. After reviewing various recent approaches, we focus on describing the development and evaluation of our own intelligent web-based interfaces, TalkMaths and SWIMS for editing mathematical text. The former is a speech-based editing interface, the latter a system which assists the user through the predictive and corrective power of statistical language models. It offers options for predicting what will appear next (analogous to predictive text for SMS messages) and identifying likely errors due to simple mistakes on the user's part in order to assist in correcting the errors. Using text-stream input, we investigate the utility of the error identification by studying the proportion of times the correct version of the complete mathematical expression appears within the M most likely alternatives suggested by our system. These systems are currently independent of each other, but we aim to integrate the facilities they provide into a simple intelligent assistive interface.
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