cantonese

This paper evaluates whether Cantonese-adapted language models better predict Cantonese reading using eye-tracking data, comparing models like CKIP GPT-2 and CantoneseLLM-7B. Results indicate that more extensive Cantonese-specific training improves predictive fit, though performance varies by information-theoretic measure.

This paper proposes a cross-lingual romanization ecosystem for Sinitic languages, develops specific schemes for Mandarin and Cantonese, and shows improved performance in speech-to-romanization tasks compared to baseline methods.

This paper presents the development of Cantonese and Irish treebanks within the ParGram Project and investigates the potential and limitations of using multilingual LLMs (OpenAI's gpt-oss-120b) for grammar engineering tasks such as translation and syntactic structure generation.