Thutmose Tagger: Single-pass neural model for Inverse Text Normalization. (arXiv:2208.00064v1 [cs.CL])

Inverse text normalization (ITN) is an essential post-processing step in
automatic speech recognition (ASR). It converts numbers, dates, abbreviations,
and other semiotic classes from the spoken form generated by ASR to their
written forms. One can consider ITN as a Machine Translation task and use
neural sequence-to-sequence models to solve it. Unfortunately, such neural
models are prone to hallucinations that could lead to unacceptable errors. To
mitigate this issue, we propose a single-pass token classifier model that
regards ITN as …

arxiv normalization text