Expand description
Taggers for inverse text normalization.
Each tagger handles a specific category of spoken text:
- cardinal: number words → digits
- money: currency expressions
- ordinal: ordinal numbers (first, second, etc.)
- date: date expressions
- time: time expressions
- decimal: decimal numbers
- measure: measurements with units
- telephone: phone numbers
- electronic: URLs and emails
- fraction: fractional numbers
- punctuation: spoken punctuation
- whitelist: pass-through words
Modules§
- cardinal
- Cardinal number tagger.
- date
- Date tagger.
- decimal
- Decimal number tagger.
- electronic
- Electronic address tagger.
- measure
- Measure tagger.
- money
- Money tagger.
- ordinal
- Ordinal number tagger.
- punctuation
- Punctuation tagger.
- telephone
- Telephone number tagger.
- time
- Time tagger.
- whitelist
- Whitelist tagger.
- word
- Word tagger.