Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation

Abstract

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

Similar works

Full text

CUED - Cambridge University Engineering DepartmentProvided a free PDF (195.62 KB)

976060/core653oai:generic.eprints.org:976060/core653
Last time updated on July 15, 2020

Having an issue?

Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.