However, training an NMT is not feasible for GSW/DE, as the size of our resources is several orders of magnitude below NMT requirements.
several recent approaches have explored a new strategy: the translation system is trained at the character level (Ling et al., 2015;Costa-jussà and Fonollosa, 2016;Chung et al., 2016;Bradbury et al., 2017;Lee et al., 2017), or at least character-level techniques such as byte-pair encoding are used to translate OOV words (Sennrich et al., 2016).