Translating language with technology's help

In this article, we introduced an iterative system for improving speech recognition in the context of human mediated translation scenarios. In contrast to related work conducted in this field, we included scenarios in which only spoken language representations are available. One key feature of our iterative system is that all involved system components, ASR as well as MT, are improved. Particularly in the context of a spoken source language representation, not only is the target language ASR automatically improved but so is the source language ASR. Using Spanish as the source language and English as the target language, we were able to reduce the WER of the English ASR by 35.8% when given a written-source language representation. Given a spoken-source language representation, we achieved a relative WER reduction of 29.9% for English and 20.9% for Spanish