The service can be expected to store models for a large number of users and dynamically load and adapt models for many active users concurrently.
the overall best performing compact adaptation technique, group lasso regularization, is further evaluated on six other language pairs trained using production data sets collected from Lilt's user base: English↔French, English↔Russian and English↔Chinese.