Globally, YiSi-2 clearly performs best at this task when using BWE's trained on domainspecific parallel data (PSC.bivec), even when there is very limited quantities of such data, as is the case here.
bERT models perform comparably to vector-mapped bWE's trained with indomain data (PSC.vecmap), and substantially better than bWE's trained on large quantities of generic, out-of-domain parallel data (WMT).