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In this paper we analyze features to classify human- and AI-generated textfor English, French, German and Spanish and compare them across languages. Weinvestigate two scenarios: (1) The detection of text generated by AI fromscratch, and (2) the detection of text rephrased by AI. For training andtesting the classifiers in this multilingual setting, we created a new textcorpus covering 10 topics for each language. For the detection of AI-generatedtext, the combination of all proposed features performs best, indicating thatour features are portable to other related languages: The F1-scores are closewith 99% for Spanish, 98% for English, 97% for German and 95% for French. Forthe detection of AI-rephrased text, the systems with all features outperformsystems with other features in many cases, but using only document featuresperforms best for German (72%) and Spanish (86%) and only text vector featuresleads to best results for English (78%).

Classification of Human- and AI-Generated Texts for English, French, German, and Spanish