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SGHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Singapore

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arxiv 2405.01842 v1 pith:4F6T4TED submitted 2024-05-03 cs.CL

classification cs.CL
keywords singaporehatemodelssghatecheckspeechasiadetectionfunctional
verification ladder T0 review T1 audit T2 compute T3 formal
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To address the limitations of current hate speech detection models, we introduce \textsf{SGHateCheck}, a novel framework designed for the linguistic and cultural context of Singapore and Southeast Asia. It extends the functional testing approach of HateCheck and MHC, employing large language models for translation and paraphrasing into Singapore's main languages, and refining these with native annotators. \textsf{SGHateCheck} reveals critical flaws in state-of-the-art models, highlighting their inadequacy in sensitive content moderation. This work aims to foster the development of more effective hate speech detection tools for diverse linguistic environments, particularly for Singapore and Southeast Asia contexts.

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  1. Stylistic Evolution and LLM Neutrality in Singlish Language

    cs.CL 2026-01 conditional novelty 5.0 of 10

    Singlish changed cumulatively over a decade, and LLM-generated Singlish remains tied to particular time periods: realistic outputs carry temporal bias, while neutral outputs lose authenticity.

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