  SGNMT is a decoding platform for machine translation which allows paring
various modern neural models of translation with different kinds of constraints
and symbolic models. In this paper, we describe three use cases in which SGNMT
is currently playing an active role: (1) teaching as SGNMT is being used for
course work and student theses in the MPhil in Machine Learning, Speech and
Language Technology at the University of Cambridge, (2) research as most of the
research work of the Cambridge MT group is based on SGNMT, and (3) technology
transfer as we show how SGNMT is helping to transfer research findings from the
laboratory to the industry, eg. into a product of SDL plc.
