Sparsely Factored Neural Machine Translation

1 code implementation • 17 Feb 2021 • Noe Casas, Jose A. R. Fonollosa, Marta R. Costa-jussà

The standard approach to incorporate linguistic information to neural machine translation systems consists in maintaining separate vocabularies for each of the annotated features to be incorporated (e. g. POS tags, dependency relation label), embed them, and then aggregate them with each subword in the word they belong to.

Machine Translation POS +1

Dealing with Input Noise in Statistical Machine Translation

no code implementations • COLING 2012 • Lluis Formiga, Jose A. R. Fonollosa

Machine Translation Translation