Score: 2

Stylistic Evolution and LLM Neutrality in Singlish Language

Published: January 10, 2026 | arXiv ID: 2601.06580v1

By: Linus Tze En Foo , Weihan Angela Ng , Wenkai Li and more

Potential Business Impact:

Shows how online chats change language over time.

Business Areas:
Natural Language Processing Artificial Intelligence, Data and Analytics, Software

Singlish is a creole rooted in Singapore's multilingual environment and continues to evolve alongside social and technological change. This study investigates the evolution of Singlish over a decade of informal digital text messages. We propose a stylistic similarity framework that compares lexico-structural, pragmatic, psycholinguistic, and encoder-derived features across years to quantify temporal variation. Our analysis reveals notable diachronic changes in tone, expressivity and sentence construction over the years. Conversely, while some LLMs were able to generate superficially realistic Singlish messages, they do not produce temporally neutral outputs, and residual temporal signals remain detectable despite prompting and fine-tuning. Our findings highlight the dynamic evolution of Singlish, as well as the capabilities and limitations of current LLMs in modeling sociolectal and temporal variations in the colloquial language.

Country of Origin
πŸ‡¨πŸ‡­ πŸ‡ΊπŸ‡Έ United States, Switzerland


Page Count
12 pages

Category
Computer Science:
Computation and Language