TAUS - Enabling better automated translation

This technical guide is intended for anyone faced with preparing translation training data for statistical machine translation. It examines data preparation processes which are the catalysts that enable data and algorithms to work in unison. It explores how to define an organization's training data strategy to match overall system design, identifies potential data sources, introduces the challenges of merging multiple corpora to create large data sets and explores several methods to prepare these translation memories into SMT training data. Finally, it looks into the speech roots of SMT and introduces the concept of exception management as a context for preparing SMT training data.