Automatic Translation for Software with Safe Velocity

摘要

We report on a model for machine translation (MT) of software, without review, for the Microsoft Office product range. We have deployed an automated localisation workflow, known as Automated Translation (AT) for software, which identifies resource strings as suitable and safe for MT without post-editing. The model makes use of string profiling, user impact assessment, MT quality estimation, and customer feedback mechanisms. This allows us to introduce automatic translation at a safe velocity, with a minimal risk to customer satisfaction. Quality constraints limit the volume of MT in relation to human translation, with published low-quality MT limited to not exceed 10% of total word count. The AT for software model has been deployed into production for most of the Office product range, for 37 languages. It allows us to MT and publish without review over 20% of the word count for some languages and products. To date, we have processed more than 1 million words with this model, and so far have not seen any measurable negative impact on customer satisfaction.