mlsanityData to 7 Oct 2026

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

arXiv 2312.04882 ↗First posted 8 Dec 2023cs.CL cs.AIcited by 4

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Abstract (arXiv)

In this paper we analyze features to classify human- and AI-generated text for English, French, German and Spanish and compare them across languages. We investigate two scenarios: (1) The detection of text generated by AI from scratch, and (2) the detection of text rephrased by AI. For training and testing the classifiers in this multilingual setting, we created a new text corpus covering 10 topics for each language. For the detection of AI-generated text, the combination of all proposed features performs best, indicating that our features are portable to other related languages: The F1-scores are close with 99% for Spanish, 98% for English, 97% for German and 95% for French. For the detection of AI-rephrased text, the systems with all features outperform systems with other features in many cases, but using only document features performs best for German (72%) and Spanish (86%) and only text vector features leads to best results for English (78%).

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 17 of its 32 references that are in the map. First posted on arXiv 8 Dec 2023.

Builds on

17 of 32 references.

References · 17

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5 more
  1. 2023ChatGPT or Human? Detect and Explain. Explaining Decisions of Machine Learning Model for Detecting Short ChatGPT-generated Textcited by 84
  2. 2023Stylometric Detection of AI-Generated Text in Twitter Timelinescited by 57
  3. 2023Classification of Human- and AI-Generated Texts: Investigating Features for ChatGPTcited by 18
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 1.

4 papers.