Embedding Technology at the front end of the Human Translation Workflow: An NVTC Vision
Carol Van Ess-Dykema, Helen G. Gigley, Stephen E. Lewis, Emily Vancho Bannister · 2008
This paper describes the strategic vision for a new translation management workflow for the US Government’s National Virtual Transla-tion Center (NVTC). The paper also describes past, current, and planned experiments vali-dating the vision, along with experiment re-sults to-date. The most salient features of the new workflow include the embedding of translation technology at the front end of the workflow (e.g., translation memory technol-ogy, specialized lexicons, and machine trans-lation), technology-generated “seed translation”, a new human work role called “paralinguist ” to assess the “seed translation” and assign an appropriate translator/post-editor, and new human translation strategies including federated search of online dictionar-ies and collaborative translation. 1