  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 its public release, and some observations
and musings. This report is intended for: people using this corpus, people
extending this corpus, and people designing similar collections of bilingual
dialog data.
