Stephanie Schuldes

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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(More)
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)
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