Using ChatGPT and Gemini to Dispel Doubts about French Pronunciation: A Case Study
DOI:
https://doi.org/10.47133/NEMITYRA20250703b-A10Palabras clave:
accuracy, ChatGPT, French as a second language, Gemini, nuances, pronunciationResumen
Previous research findings have revealed concerns regarding the presence of inaccuracies in language models’ (LMs’) output and regarding the treatment of nuances in the same type of output in educational contexts. The extent to which a version of ChatGPT and a version of Gemini provided inaccurate and unnuanced information concerning the pronunciation of the target French words of this paper, namely, six and dix, was explored, and to this end three prompt types and a benchmark were used. The results of this exploratory case study showed that Gemini’s responses were less inaccurate than ChatGPT’s, and that Gemini covered cases that relate to the pronunciation of the parts of speech that are present in the benchmark more often. These findings led to reflections on the convenience of tackling the limitations of using LMs as if they were regular reference works that can dispel doubts about French pronunciation in French as a second language courses for adults where pronunciation is taught. It also raised reflections on the importance of comparing LMs’ output concerning French pronunciation with information about French pronunciation as presented by reliable sources.
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Derechos de autor 2025 Maximiliano Eduardo Orlando; Revista Ñemitỹrã
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
