arXiv cs.CL· Linus Tze En Foo, Weihan Angela Ng, Wenkai Li, Lynnette Hui Xian Ng·· 13 小时前AI 评分21
研究揭示 LLM 生成 Singlish 的真实性与时间中性难以兼得
Stylistic Evolution and LLM Neutrality in Singlish Language
AI 导读
一项基于十年非正式数字消息的研究发现，Singlish 的风格可分性随时间距离增大而增强，主要由长度和复杂度等结构特征驱动。多数 LLM 无法同时实现真实性与时间中性，呈现出结构性权衡：生成逼真 Singlish 的模型会继承其时间偏差，而时间中性的模型输出则不真实。研究据此将时间中性定位为评估 LLM 社会方言接地能力的诊断指标。
正文 · 原文
Abstract:Singlish is a creole rooted in Singapore's multilingual environment that continues to evolve alongside social and technological change. We examine diachronic stylistic change across a decade of informal digital messages and ask whether Large Language Models (LLMs) can generate temporally neutral outputs approximating the stable essence of the variety. Using lexical, pragmatic, psycholinguistic, and encoder-based features, we find that stylistic separability increases with temporal distance, driven primarily by structural features such as length and complexity. Evaluated against a null distribution baseline, most LLMs fail to achieve both authenticity and temporal neutrality simultaneously, revealing a structural trade-off: models generating realistic Singlish inherit its temporal biases, while temporally neutral models produce inauthentic outputs. These findings position temporal neutrality as a diagnostic metric for assessing sociolectal grounding in LLMs.
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2601.06580 [cs.CL] |
| (or arXiv:2601.06580v3 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2601.06580 arXiv-issued DOI via DataCite |
Submission history
From: Linus Tze En Foo [view email]
[v1]
Sat, 10 Jan 2026 14:34:07 UTC (2,299 KB)
[v2]
Tue, 26 May 2026 04:23:35 UTC (166 KB)
[v3]
Sat, 24 Oct 2026 12:57:02 UTC (168 KB)
来源：arXiv cs.CL · arxiv.org