In general, CLSC methods make use of generalpurpose bilingual resources-such as hand-crafted bilingual lexica or parallel corpora-to alleviate or eliminate the need for task-specific TARGET annotations.
the bilingual resource of choice for the majority of previous CLSC models is a full-fledged Machine Translation (MT) system (Wan, 2008(Wan, , 2009Lu et al., 2011;Zhou et al., 2016), a component that is expensive to obtain.