Most successful work on low-resource POS tagging is based on projection (Yarowsky et al., 2001) , tag dictionaries<cite> (Li et al., 2012)</cite> , annotation of seed training data or even more recently some combination of these, e.g., via multi-task learning (Fang and not <cite>Li et al. (2012)</cite> Figure 4: The performance of LI with our dictionary data over EM iterations, separate for the languages from <cite>Li et al. (2012)</cite> and all the remaining languages in Table 1 . Cohn, 2016; Kann et al., 2018) .