Dialogs Re-enacted Across Languages

To support machine learning of cross-language prosodic mappings and other ways to improve speech-to-speech translation, we present a protocol for collecting closely matched pairs of utterances across languages, a description of the resulting data collection, and some observations and musings. This report is intended for 1) people using the corpus, 2) people extending the corpus, and 3) people designing similar collections of bilingual dialog data.