  We present the Radar de Parit\'e, an automated Natural Language Processing
(NLP) system that measures the proportion of women and men quoted daily in six
Canadian French-language media outlets. We outline the system's architecture
and detail the challenges we overcame to address French-specific issues, in
particular regarding coreference resolution, a new contribution to the NLP
literature on French. We also showcase statistics covering over one year's
worth of data (282,512 news articles). Our results highlight the
underrepresentation of women in news stories, while also illustrating the
application of modern NLP methods to measure gender representation and address
societal issues.
