Trained MT in Automotive: 83% Needs No Editing
Jourik Ciesielski trained a Google AutoML engine for an automotive customer in English to Spanish (Latam) language combination. As a result of training, only 17% segments needed editing after machine translation. In this case study we discuss the impact of training on the output generated by an MT engine. The technology behind this project is […]