investigated to what extent different embedding methods are predictive of i) the occurrence of words in the original sentence, ii) the order of words in the original sentence, and iii) the length of the original sentence (Adi et al., 2016(Adi et al., , 2017.  inspected neural machine translation systems with regard to their ability to acquire morphology, while Shi et al.
even on SICK, oftentimes very shallow methods prove effective at obtaining fairly competitive results (Wieting et al., 2015).