TRACER is a suite of 700 algorithms, whose features can be combined to create the optimal formula for detecting those words, sentences and ideas that have been reused across texts. Created by Marco B├╝chler, TRACER is designed to facilitate research in text reuse detection and many have made use of it to identify plagiarism in a text, as well as verbatim and near verbatim quotations, paraphrase and even allusions. The thousands of feature combinations that TRACER supports allow to investigate not only contemporary texts, but also complex historical texts where reuse is harder to spot. TRACER is language-independent and has been successfully tested on: Ancient Greek, Arabic, Coptic, English, German, Hebrew, Latin and Tibetan. Source: https://www.etrap.eu/research/tracer/

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