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Can we detect ChatGPT-generated texts in Czech and Slovak languages?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00132775" target="_blank" >RIV/00216224:14330/23:00132775 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Can we detect ChatGPT-generated texts in Czech and Slovak languages?

  • Original language description

    The wide availability of generative AI exacerbates existing threats to society. It would not be easy even for linguists to tell whether the text we are reading was generated by a Large Language Model (LLM) or written by a human. Researchers have started developing tools that detect AI-generated content. This paper tested how two of these tools, Compilatio and GPT-2 Output Detector, performed with Czech, Slovak and English texts. There was only one tool somewhat capable of detecting AI-generated texts: Compilatio. Other tools were designed to work only with English texts. Hence, we also tested whether automatically translating the Czech and Slovak texts to English before uploading them to the detectors would have given any promising results. Ultimately, we showed that the texts generated by ChatGPT4 were less detectable than the texts generated by ChatGPT3.5.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2023

  • ISBN

    9788026317937

  • ISSN

    2336-4289

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    35-43

  • Publisher name

    Tribun EU

  • Place of publication

    Brno

  • Event location

    Kouty nad Desnou

  • Event date

    Jan 1, 2023

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article