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 architectures. In this paper, we provide a comprehensive review
on the existing resources and methodologies for Cantonese Natural Language Processing,
covering the recent progress in language understanding, text generation and development …
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 architectures. In this paper, we provide a comprehensive review
on the existing resources and methodologies for Cantonese Natural Language Processing,
covering the recent progress in language understanding, text generation and development …
Cantonese Natural Language Processing in the Transformers Era
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 architectures. In this paper, we provide a comprehensive review
on the existing resources and methodologies for Cantonese Natural Language Processing,
covering the recent progress in language understanding, text generation and development …
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 architectures. In this paper, we provide a comprehensive review
on the existing resources and methodologies for Cantonese Natural Language Processing,
covering the recent progress in language understanding, text generation and development …
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