Stephanie Schuldes

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Challenges in the development of state-of-the-art navigation tools involve the synchronous generation of user-tailored natural language directions and accompanying graphical representations. Of particular interest is the combination of indoor and outdoor scenarios. We describe an architecture for simultaneously generating route directions and suitable(More)
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(More)
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