Issue #120 – Interactive Neural Machine Translation
04 Mar21
Issue #120 – Interactive Neural Machine Translation
Author: Dr. Patrik Lambert, Senior Machine Translation Scientist @ Iconic
Introduction
Despite the great quality improvements achieved recently by machine translation (MT) technology thanks to neural systems, it is still not error-free. To achieve a controlled quality, the output of a machine translation engine must be corrected by a human agent in a post-editing phase. Today we take a look at a paper from Peris et al. (2017) (publisher version, non-final author version), which describes how to optimise this process by improving the neural MT hypothesis interactively, given the human correction. Although the neural MT technology used in the paper is not the state of the art anymore, the interactivity protocols