Cantonese natural language processing in the transformers era: a survey and current challenges.

Despite being spoken by a large population of speakers worldwide, Cantonese is under-resourced in terms of the data scale and diversity compared to other major languages. This limitation has excluded it from the current "pre-training and fine-tuning" paradigm that is dominated by Transformer archite...

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Detalles Bibliográficos

Publicado en:	Language Resources & Evaluation Vol. 59; no. 2; pp. 1747 - 1774
Autores principales:	Xiang, Rong, Chersoni, Emmanuele, Li, Yixia, Li, Jing, Huang, Chu-Ren, Pan, Yushan, Li, Yushi
Formato:	Literature Review
Publicado:	Springer Nature Jun2025
Materias:	Natural language processing Language models Cantonese dialects Language acquisition Transformer models
Acceso en línea:	Ver este registro en EBSCOhost