SGNMT -- A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies

Felix Stahlberg, E Hasler, Danielle Saunders & William Byrne
This paper introduces SGNMT, our experimental platform for machine translation research. SGNMT provides a generic interface to neural and symbolic scoring modules (predictors) with left-to-right semantic such as translation models like NMT, language models, translation lattices, n-best lists or other kinds of scores and constraints. Predictors can be combined with other predictors to form complex decoding tasks. SGNMT implements a number of search strategies for traversing the space spanned by the predictors which are appropriate...

This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.