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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 sixCanadian French-language media outlets. We outline the system's architectureand detail the challenges we overcame to address French-specific issues, inparticular regarding coreference resolution, a new contribution to the NLPliterature on French. We also showcase statistics covering over one year'sworth of data (282,512 news articles). Our results highlight theunderrepresentation of women in news stories, while also illustrating theapplication of modern NLP methods to measure gender representation and addresssocietal issues.

Radar de Parit\'e: An NLP system to measure gender representation in French news stories