A RAG method with a curated lexicon enables controlled Singlish generation from standard English through sparse substitutions, matching zero-shot prompting in perceived naturalness while achieving higher semantic preservation and edit minimality.
GLUEC o S : An Evaluation Benchmark for Code-Switched NLP
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This survey paper identifies opportunities for LLMs in low-resource language humanities research along with challenges in data accessibility, model adaptability, and cultural sensitivity.
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From Standard English to Singlish: A Retrieval-Augmented Approach for Code-Switched Creole Generation in Large Language Models
A RAG method with a curated lexicon enables controlled Singlish generation from standard English through sparse substitutions, matching zero-shot prompting in perceived naturalness while achieving higher semantic preservation and edit minimality.
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Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research
This survey paper identifies opportunities for LLMs in low-resource language humanities research along with challenges in data accessibility, model adaptability, and cultural sensitivity.