A streaming inverse text normalization model for Vietnamese combining PhoBERT tagging with dynamic chunk-size masking and a right-context buffer achieves F1 0.78, close to the non-streaming baseline's 0.86.
By adapting a pretrained model for streaming applica- tions, we addressed the inherent limitations of traditional ITN methods, particularly in real-time scenarios
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Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization
A streaming inverse text normalization model for Vietnamese combining PhoBERT tagging with dynamic chunk-size masking and a right-context buffer achieves F1 0.78, close to the non-streaming baseline's 0.86.