An Experiment in Natural Language Processing, Machine Learning, and Islamic Law :: Part 2 ::

By Mairaj Syed Results I initially decided that I would divide up the Testimony chapter into 7-gram word fragments, because the original evidence canon consisted of seven Arabic words. This created a list of 38,683 7-gram fragments. Being ambitious and hoping to be lucky, I decided to send the google service 1000 texts at a … Continue reading An Experiment in Natural Language Processing, Machine Learning, and Islamic Law :: Part 2 ::

An Experiment in Natural Language Processing, Machine Learning, and Islamic Law :: Part 1 ::

  By Mairaj Syed Project Description and Goals As I briefly indicated in my previous blog post, a fundamental desideratum for the field of Islamic law and ethics is a corpus of texts whose argumentation has been fully mined: conclusions would be distinguished from premises, and the premises categorized according to type of argument. The … Continue reading An Experiment in Natural Language Processing, Machine Learning, and Islamic Law :: Part 1 ::