Digital humanities has a venerable pedigree, stretching back to the middle of the twentieth century, but despite noteworthy pioneering contributions it has not become a mainstream practice in Islamic Studies. This essay applies humanities computing to the study of Islamic law. We analyze a representative corpus of works of Islamic substantive law (furūʿ al-fiqh) from the beginnings of Islamic legal jurisprudence to the early modern period (2nd/8th-13th/19th c.) using several computational tools and methods: text-reuse network analysis based on plain-text annotations and html tags, clustered frequency-based analysis, word clouds, and topic modeling. Applying machine-guided distant reading to Islamic legal texts over the longue-dureé, we study (1) the role of the Qurʾān, (2) patterns of normative qualifications (aḥkām), and (3) the distribution of topics in our corpus. In certain instances the analysis confirms claims made in the scholarly literature on Islamic law, in other instances it corrects such claims.

数字人文学科有着悠久的历史，可以追溯到 20 世纪中叶，但尽管有值得注意的开创性贡献，但它并未成为伊斯兰研究的主流实践。本文将人文计算应用于伊斯兰法律的研究。我们使用几种计算工具和方法分析了从伊斯兰法律法理学开始到现代早期（2nd/8th-13th/19th c.）的伊斯兰实体法（furūʿ al-fiqh）的代表性作品集：文本重用基于纯文本注释和html标签的网络分析、基于聚类的频率分析、词云和主题建模。在longue-dureé 上将机器引导的远程阅读应用于伊斯兰法律文本，我们研究（1）古兰经的作用，（2）规范资格（aḥkām）的模式，以及（3）我们语料库中主题的分布。在某些情况下，分析证实了有关伊斯兰法的学术文献中提出的主张，在其他情况下，它纠正了此类主张。