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This work describes first steps towards building a system that synchronously generates multimodal (textual and visual) route directions for pedestrians. We pursue a corpus-based approach for building a generation model that produces natural instructions in multiple languages. We conducted an empirical study to collect verbal route directions, and annotated the acquired texts on different levels. Here we describe the experimental setting and an analysis of the collected data.
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Schuldes et al. (2009) studied this question.