We present a pipeline for a statistical textual exploration, offering a stylometry-based explanation and statistical validation of a hypothesized partition of a text. Given a parameterization of the text, our pipeline: (1) detects literary features yielding the optimal overlap between the hypothesized and unsupervised partitions, (2) performs a hypothesis-testing analysis to quantify the statistical significance of the optimal overlap, while conserving implicit correlations between units of text that are more likely to be grouped, and (3) extracts and quantifies the importance of features most responsible for the classification, estimates their statistical stability and cluster-wise abundance. We apply our pipeline to the first two books in the Bible, where one stylistic component stands out in the eyes of biblical scholars, namely, the Priestly component. We identify and explore statistically significant stylistic differences between the Priestly and non-Priestly components.

翻译：我们提出了一种统计文本探索流程，通过文体学解释与统计验证，为文本的假设性分割提供依据。该流程基于文本参数化：（1）检测能够使假设分割与无监督分割达到最优重叠的文学特征；（2）进行假设检验分析，在保留更可能被归组的文本单元间隐式相关性的前提下，量化最优重叠的统计显著性；（3）提取并量化对分类最关键的要素权重，评估其统计稳定性及聚类丰度。我们将该流程应用于《圣经》前两卷书，其中圣经学者尤为关注一种文体成分——祭司文献。我们识别并探讨了祭司成分与非祭司成分之间具有统计显著性的文体差异。