This study presents a corpus of turn changes between speakers in U.S. Supreme Court oral arguments. Each turn change is labeled on a spectrum of "cooperative" to "competitive" by a human annotator with legal experience in the United States. We analyze the relationship between speech features, the nature of exchanges, and the gender and legal role of the speakers. Finally, we demonstrate that the models can be used to predict the label of an exchange with moderate success. The automatic classification of the nature of exchanges indicates that future studies of turn-taking in oral arguments can rely on larger, unlabeled corpora.

中文翻译：

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原谅中断：美国最高法院口头辩论中的性别和轮换分析

本研究展示了美国最高法院口头辩论中发言者之间的转向变化语料库。每个转弯变化都由在美国具有法律经验的人类注释者标记为从“合作”到“竞争”的范围。我们分析了言语特征、交流的性质以及说话者的性别和法律角色之间的关系。最后，我们证明了这些模型可用于预测具有中等成功的交易所的标签。交流性质的自动分类表明，未来口头辩论中的轮换研究可以依赖更大的、未标记的语料库。