  Markedness in natural language is often associated with non-literal meanings
in discourse. Differential Object Marking (DOM) in Korean is one instance of
this phenomenon, where post-positional markers are selected based on both the
semantic features of the noun phrases and the discourse features that are
orthogonal to the semantic features. Previous work has shown that
distributional models of language recover certain semantic features of words --
do these models capture implied discourse-level meanings as well? We evaluate
whether a set of large language models are capable of associating discourse
meanings with different object markings in Korean. Results suggest that
discourse meanings of a grammatical marker can be more challenging to encode
than that of a discourse marker.
