  Identifying linguistic differences between dialects of a language often
requires expert knowledge and meticulous human analysis. This is largely due to
the complexity and nuance involved in studying various dialects. We present a
novel approach to extract distinguishing lexical features of dialects by
utilizing interpretable dialect classifiers, even in the absence of human
experts. We explore both post-hoc and intrinsic approaches to interpretability,
conduct experiments on Mandarin, Italian, and Low Saxon, and experimentally
demonstrate that our method successfully identifies key language-specific
lexical features that contribute to dialectal variations.
