This paper introduces GENTRAC, an open-access web-based tool built to interactively detect and analyze potentially
traumatic content in witness statements of genocide and mass atrocity trials. Harnessing recent developments in
natural language processing (NLP) to detect trauma, GENTRAC processes and formats court transcripts for NLP
analysis through a sophisticated parsing algorithm and detects the likelihood of traumatic content for each speaker
segment. The tool visualizes the density of such content throughout a trial day and provides statistics on the overall
amount of traumatic content and speaker distribution. Capable of processing transcripts from four prominent interna-
tional criminal courts, including the International Criminal Court (ICC), GENTRAC’s reach is vast, tailored to handle
millions of pages of documents from past and future trials. Detecting potentially re-traumatizing examination methods
can enhance the development of trauma-informed legal procedures. GENTRAC also serves as a reliable resource for
legal, human rights, and other professionals, aiding their comprehension of mass atrocities’ emotional toll on survivors.
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This paper introduces GENTRAC, an open-access web-based tool built to interactively detect and analyze potentially
traumatic content in witness statements of genocide and mass atrocity trials. Harnessing recent developments in
natural language processing (NLP) to detect trauma, GENTRAC processes and formats court transcripts for NLP
analysis through a sophisticated parsing algorithm and detects the likelihood of traumatic content for each speaker
segment. The tool visualizes the density of s...
»