17 Oct19 Issue #56 – Scalable Adaptation for Neural Machine Translation Author: Raj Patel, Machine Translation Scientist @ Iconic Although current research has explored numerous approaches for adapting Neural MT engines to different languages and domains, fine-tuning remains the most common approach. In fine-tuning, the parameters of a pre-trained model are updated for the target language or domain in question. However, fine-tuning requires training and maintenance of a separate model for each target task (i.e. a separate MT engine for every […]