Can LLMs Simulate L2-English Dialogue? An Information-Theoretic Analysis of L1-Dependent Biases
Published in arXiv preprint, 2025
This paper investigates whether large language models can effectively simulate L2-English dialogue and analyzes L1-dependent biases using information-theoretic approaches. We examine how different first languages influence the quality and authenticity of simulated second-language conversations.
The research provides insights into the challenges of cross-linguistic dialogue simulation and contributes to understanding language transfer effects in AI systems.
Recommended citation: R Gao, X Wu, T Kuribayashi, M Ye, S Qi, C Roever, Y Liu, Z Yuan, JH Lau. (2025). "Can LLMs Simulate L2-English Dialogue? An Information-Theoretic Analysis of L1-Dependent Biases." arXiv preprint arXiv:2502.14507.
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