  Deep learning holds great promise for detecting discriminatory language in
the public sphere. However, for the detection of illegal age discrimination in
job advertisements, regex approaches are still strong performers. In this
paper, we investigate job advertisements in the Netherlands. We present a
qualitative analysis of the benefits of the 'old' approach based on regexes and
investigate how neural embeddings could address its limitations.
