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Generative AI, Pragmatics, and Authenticity in Second Language Learning

arXiv 2410.14395 ↗First posted 18 Oct 2024cs.CL cs.AI cs.HCcited by 0

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Abstract (arXiv)

There are obvious benefits to integrating generative AI (artificial intelligence) into language learning and teaching. Those include using AI as a language tutor, creating learning materials, or assessing learner output. However, due to how AI systems under-stand human language, based on a mathematical model using statistical probability, they lack the lived experience to be able to use language with the same social aware-ness as humans. Additionally, there are built-in linguistic and cultural biases based on their training data which is mostly in English and predominantly from Western sources. Those facts limit AI suitability for some language learning interactions. Stud-ies have clearly shown that systems such as ChatGPT often do not produce language that is pragmatically appropriate. The lack of linguistic and cultural authenticity has important implications for how AI is integrated into second language acquisition as well as in instruction targeting development of intercultural communication compe-tence.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 10 of its 69 references that are in the map. First posted on arXiv 18 Oct 2024.

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References · 10

  1. 2023Role-Play with Large Language Modelscited by 294
  2. 2023Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Studycited by 206
  3. 2023Having Beer after Prayer? Measuring Cultural Bias in Large Language Modelscited by 153
  4. 2023Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensionscited by 112
  5. 2022The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMscited by 58
  6. 2023Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Modelscited by 43
  7. 2022How do you Converse with an Analytical Chatbot? Revisiting Gricean Maxims for Designing Analytical Conversational Behaviorcited by 20
  8. 2024Language Writ Large: LLMs, ChatGPT, Grounding, Meaning and Understandingcited by 12
  9. 2024ChatGPT Role-play Dataset: Analysis of User Motives and Model Naturalnesscited by 7
  10. 2024The Human and the Mechanical: logos, truthfulness, and ChatGPTcited by 1

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