Essentially, annotation adaptation and annotation projection tackle different problems; the former aims to transform the annotations from one guideline to another (of course in the same language), whereas the latter aims to project the annotation (as well as the annotation guideline) from one language to another.
the machine learning methods for annotation adaptation pay attention to automatic transformation of annotations, while for annotation projection, the machine learning methods focus on the bilingual projection across languages.