{'fraction_non_alphanumeric': 0.02512562814070352, 'fraction_numerical': 0.020100502512562814, 'mean_word_length': 4.98, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Demonstration of the Ferret Plagiarism Detector

The basic core of Ferret was developed by Lyon, Malcolm and Dickerson (2001). It provides very fast and fine-grained similarity detection in moderately large collections of documents by using triples of tokens to compute a measure of resemblance between each pair of documents in the collection. This earlier version of Ferret has been used primarily to detect collusion in students' work; and is described in (Lyon and Malcolm, 2002) from a pedagogic viewpoint. More detailed experiments on a variety of datasets are reported by Lyon et al (2003).