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.

翻译：本文介绍“性别比例雷达”（Radar de Parité）——一种基于自然语言处理（NLP）的自动化系统，用于衡量加拿大六家法语媒体每日新闻中引用女性和男性的比例。我们阐述了该系统的架构，并详细描述了为应对法语特有挑战（特别是共指消解问题）所克服的困难，这一工作为法语NLP文献做出了新贡献。同时，我们展示了涵盖一年以上数据（282,512篇新闻文章）的统计结果。研究结果不仅凸显了新闻故事中女性代表性不足的问题，也展示了运用现代NLP方法衡量性别表征、解决社会议题的实践价值。