[2604.08568] Can We Still Hear the Accent? Investigating the Resilience of Native Language Signals in the LLM Era

Computer Science > Computation and Language arXiv:2604.08568 (cs) [Submitted on 20 Mar 2026] Title:Can We Still Hear the Accent? Investigating the Resilience of Native Language Signals in the LLM Era Authors:Nabelanita Utami, Sasano Ryohei View a PDF of the paper titled Can We Still Hear the Accent? Investigating the Resilience of Native Language Signals in the LLM Era, by Nabelanita Utami and 1 other authors View PDF HTML (experimental) Abstract:The evolution of writing assistance tools from machine translation to large language models (LLMs) has changed how researchers write. This study investigates whether this shift is homogenizing research papers by analyzing native language identification (NLI) trends in ACL Anthology papers across three eras: pre-neural network (NN), pre-LLM, and post-LLM. We construct a labeled dataset using a semi-automated framework and fine-tune a classifier to detect linguistic fingerprints of author backgrounds. Our analysis shows a consistent decline in NLI performance over time. Interestingly, the post-LLM era reveals anomalies: while Chinese and French show unexpected resistance or divergent trends, Japanese and Korean exhibit sharper-than-expected declines. Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI) Cite as: arXiv:2604.08568 [cs.CL]   (or arXiv:2604.08568v1 [cs.CL] for this version)   https://doi.org/10.48550/arXiv.2604.08568 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Nabelan...