chore: import upstream snapshot with attribution
This commit is contained in:
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from fun_text_processing.inverse_text_normalization.pt.taggers.tokenize_and_classify import (
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ClassifyFst,
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)
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from fun_text_processing.inverse_text_normalization.pt.verbalizers.verbalize import VerbalizeFst
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from fun_text_processing.inverse_text_normalization.pt.verbalizers.verbalize_final import (
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VerbalizeFinalFst,
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)
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€ euros
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£ libras esterlinas
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US$ dólares americanos
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$ dólares
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R$ reais
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@@ -0,0 +1,5 @@
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€ euro
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£ libra esterlina
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US$ dólar americano
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$ dólar
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R$ real
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@@ -0,0 +1 @@
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@@ -0,0 +1,26 @@
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com
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es
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uk
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fr
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net
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br
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in
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ru
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de
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it
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edu
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co
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ar
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bo
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cl
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co
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ec
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fk
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gf
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fy
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pe
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py
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sr
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ve
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uy
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pt
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@@ -0,0 +1,11 @@
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gmail g mail
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gmail
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nvidia n vidia
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nvidia
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outlook
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hotmail
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yahoo
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aol
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live
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msn
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live
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@@ -0,0 +1,6 @@
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. ponto
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- traço
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- hífen
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_ traço baixo
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_ underscore
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/ barra
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+56
@@ -0,0 +1,56 @@
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h horas
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min minutos
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s segundos
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ms milissegundos
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ns nanossegundos
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μs microssegundos
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t toneladas
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kg quilos
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kg quilogramas
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g gramas
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mg miligramas
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μm micrômetros
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nm nanômetros
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mm milímetros
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cm centímetros
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cm² centímetros quadrado
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cm³ centímetros cúbico
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m metros
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m² metros quadrados
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m³ metros cúbicos
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km quilômetros
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km² quilômetros quadrados
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ha hectares
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kph quilômetros por hora
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mph milhas por hora
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m/s metros por segundo
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l litros
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ml mililitros
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kgf quilogramas forças
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kgf quilogramas força
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% por cento
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°F fahrenheit
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°C celsius
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°F graus fahrenheit
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°C graus celsius
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Hz hertz
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kHz quilo hertz
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MHz mega hertz
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GHz giga hertz
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W watts
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kW quilowatts
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MW megawatts
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GW gigawatts
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Wh watts hora
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kWh quilowatts hora
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MWh megawatts hora
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GWh gigawatts hora
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kV quilovolts
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V volts
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mV milivolts
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A amperes
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mA miliamperes
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rpm rotações por minuto
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db decibéis
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cal calorias
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kcal quilocalorias
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+55
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h hora
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min minuto
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s segundo
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ms milissegundo
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ns nanossegundo
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μs microssegundo
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t tonelada
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kg quilo
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kg quilograma
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g grama
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mg miligrama
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μm micrômetro
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nm nanômetro
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mm milímetro
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cm centímetro
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cm² centímetro quadrado
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cm³ centímetro cúbico
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m metro
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m² metro quadrado
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m³ metro cúbico
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km quilômetro
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km² quilômetro quadrado
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ha hectare
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kph quilômetro por hora
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mph milha por hora
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m/s metro por segundo
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l litro
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ml mililitro
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kgf quilograma força
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% por cento
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°F fahrenheit
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°C celsius
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°F grau fahrenheit
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°C grau celsius
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Hz hertz
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kHz quilo hertz
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MHz mega hertz
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GHz giga hertz
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W watt
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kW quilowatt
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MW megawatt
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GW gigawatt
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Wh watt hora
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kWh quilowatt hora
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MWh megawatt hora
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GWh gigawatt hora
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kV quilovolt
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V volt
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mV milivolt
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A ampere
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mA miliampere
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rpm rotação por minuto
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db decibel
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cal caloria
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kcal quilocaloria
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@@ -0,0 +1,12 @@
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janeiro
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fevereiro
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março
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abril
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maio
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junho
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julho
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agosto
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setembro
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outubro
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novembro
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dezembro
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@@ -0,0 +1,11 @@
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um 1
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uma 1
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dois 2
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duas 2
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três 3
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quatro 4
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cinco 5
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seis 6
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sete 7
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oito 8
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nove 9
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@@ -0,0 +1,17 @@
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cento 1
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duzentos 2
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duzentas 2
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trezentos 3
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trezentas 3
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quatrocentos 4
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quatrocentas 4
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quinhentos 5
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quinhentas 5
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seiscentos 6
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seiscentas 6
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setecentos 7
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setecentas 7
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oitocentos 8
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oitocentas 8
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novecentos 9
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novecentas 9
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cem 100
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dez 10
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onze 11
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doze 12
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treze 13
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catorze 14
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quatorze 14
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quinze 15
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dezesseis 16
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dezessete 17
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dezoito 18
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dezenove 19
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@@ -0,0 +1,8 @@
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vinte 2
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trinta 3
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quarenta 4
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cinquenta 5
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sessenta 6
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setenta 7
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oitenta 8
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noventa 9
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vinte um 21
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vinte dois 22
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vinte três 23
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vinte quatro 24
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vinte cinco 25
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vinte seis 26
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vinte sete 27
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vinte oito 28
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vinte nove 29
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zero 0
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@@ -0,0 +1,18 @@
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primeiro 1
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primeira 1
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segundo 2
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segunda 2
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terceiro 3
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terceira 3
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quarto 4
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quarta 4
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quinto 5
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quinta 5
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sexto 6
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sexta 6
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sétimo 7
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sétima 7
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oitavo 8
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oitava 8
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nono 9
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nona 9
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centésimo 1
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centésima 1
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ducentésimo 2
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ducentésima 2
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tricentésimo 3
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tricentésima 3
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trecentésimo 3
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trecentésima 3
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quadringentésimo 4
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quadringentésima 4
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quingentésimo 5
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quingentésima 5
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sexcentésimo 6
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sexcentésima 6
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seiscentésimo 6
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seiscentésima 6
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septingentésimo 7
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septingentésima 7
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setingentésimo 7
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setingentésima 7
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octingentésimo 8
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octingentésima 8
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octogentésimo 8
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octogentésima 8
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noningentésimo 9
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noningentésima 9
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nongentésimo 9
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nongentésima 9
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@@ -0,0 +1,20 @@
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décimo 1
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décima 1
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vigésimo 2
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vigésima 2
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trigésimo 3
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trigésima 3
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quadragésimo 4
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quadragésima 4
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quinquagésimo 5
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quinquagésima 5
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sexagésimo 6
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sexagésima 6
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septuagésimo 7
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septuagésima 7
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setuagésimo 7
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setuagésima 7
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octogésimo 8
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octogésima 8
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nonagésimo 9
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nonagésima 9
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1 0
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1 12
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0 23
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2 1
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3 2
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4 3
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5 4
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6 5
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7 6
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8 7
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9 8
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10 9
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11 10
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12 11
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13 12
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14 13
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15 14
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16 15
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17 16
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18 17
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19 18
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20 19
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21 20
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22 21
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23 22
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01 59
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02 58
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03 57
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05 55
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06 54
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08 52
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09 51
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10 50
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18 42
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21 39
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22 38
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23 37
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24 36
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25 35
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26 34
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27 33
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28 32
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29 31
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30 30
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31 29
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32 28
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33 27
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34 26
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35 25
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36 24
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37 23
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38 22
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39 21
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40 20
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46 14
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48 12
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49 11
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50 10
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51 09
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52 08
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53 07
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54 06
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55 05
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56 04
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57 03
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58 02
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59 01
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da madrugada da madrugada
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da manhã da manhã
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da tarde da tarde
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da noite da noite
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segunda-feira segunda feira
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terça-feira terça feira
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quarta-feira quarta feira
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quinta-feira quinta feira
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sexta-feira sexta feira
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@@ -0,0 +1,397 @@
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import pynini
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from fun_text_processing.inverse_text_normalization.pt.utils import get_abs_path
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from fun_text_processing.text_normalization.en.graph_utils import (
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DAMO_ALPHA,
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DAMO_DIGIT,
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DAMO_SIGMA,
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DAMO_SPACE,
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DAMO_WHITE_SPACE,
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GraphFst,
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delete_space,
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)
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from pynini.lib import pynutil
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class CardinalFst(GraphFst):
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"""
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Finite state transducer for classifying cardinals
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e.g. menos veintitrés -> cardinal { negative: "-" integer: "23"}
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This class converts cardinals up to (but not including) "un cuatrillón",
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i.e up to "one septillion" in English (10^{24}).
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Cardinals below ten are not converted (in order to avoid
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"vivo em uma casa" --> "vivo em 1 casa" and any other odd conversions.)
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Although technically Portuguese grammar requires that "e" only comes after
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"10s" numbers (ie. "trinta", ..., "noventa"), these rules will convert
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numbers even with "e" in an ungrammatical place (because "e" is ignored
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inside cardinal numbers).
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e.g. "mil e uma" -> cardinal { integer: "1001"}
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e.g. "cento e uma" -> cardinal { integer: "101"}
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"""
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def __init__(self, use_strict_e=False):
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"""
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:param use_strict_e: When True forces to have the separator "e" in the right places
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"""
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super().__init__(name="cardinal", kind="classify")
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graph_zero = pynini.string_file(get_abs_path("data/numbers/zero.tsv"))
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graph_digit = pynini.string_file(get_abs_path("data/numbers/digit.tsv"))
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graph_ties = pynini.string_file(get_abs_path("data/numbers/ties.tsv"))
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graph_teen = pynini.string_file(get_abs_path("data/numbers/teen.tsv"))
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graph_twenties = pynini.string_file(get_abs_path("data/numbers/twenties.tsv"))
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graph_one_hundred = pynini.string_file(get_abs_path("data/numbers/onehundred.tsv"))
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graph_hundreds = pynini.string_file(get_abs_path("data/numbers/hundreds.tsv"))
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graph = None
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if not use_strict_e:
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graph_hundred_component = graph_hundreds | pynutil.insert("0")
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graph_hundred_component += delete_space
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graph_hundred_component += pynini.union(
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graph_twenties | graph_teen | pynutil.insert("00"),
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(graph_ties | pynutil.insert("0"))
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+ delete_space
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+ (graph_digit | pynutil.insert("0")),
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)
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graph_hundred_component = pynini.union(graph_hundred_component, graph_one_hundred)
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graph_hundred_component_at_least_one_none_zero_digit = graph_hundred_component @ (
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pynini.closure(DAMO_DIGIT) + (DAMO_DIGIT - "0") + pynini.closure(DAMO_DIGIT)
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)
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graph_thousands = pynini.union(
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graph_hundred_component_at_least_one_none_zero_digit
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+ delete_space
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+ pynutil.delete("mil"),
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pynutil.insert("001")
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+ pynutil.delete("mil"), # because we say 'mil', not 'hum mil'
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pynutil.insert("000", weight=0.01),
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)
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graph_milhoes = pynini.union(
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graph_hundred_component_at_least_one_none_zero_digit
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+ delete_space
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+ (pynutil.delete("milhão") | pynutil.delete("milhões")),
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pynutil.insert("000", weight=0.01),
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)
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graph_bilhoes = pynini.union(
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graph_hundred_component_at_least_one_none_zero_digit
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+ delete_space
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+ (pynutil.delete("bilhão") | pynutil.delete("bilhões")),
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pynutil.insert("000", weight=0.01),
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)
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graph_trilhoes = pynini.union(
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graph_hundred_component_at_least_one_none_zero_digit
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+ delete_space
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+ (pynutil.delete("trilhão") | pynutil.delete("trilhões")),
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pynutil.insert("000", weight=0.01),
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||||
)
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graph_quatrilhoes = pynini.union(
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graph_hundred_component_at_least_one_none_zero_digit
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+ delete_space
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||||
+ (pynutil.delete("quatrilhão") | pynutil.delete("quatrilhões")),
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||||
pynutil.insert("000", weight=0.01),
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||||
)
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||||
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graph_quintilhoes = pynini.union(
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||||
graph_hundred_component_at_least_one_none_zero_digit
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||||
+ delete_space
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||||
+ (pynutil.delete("quintilhão") | pynutil.delete("quintilhões")),
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||||
pynutil.insert("000", weight=0.01),
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||||
)
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||||
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||||
graph_sextilhoes = pynini.union(
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||||
graph_hundred_component_at_least_one_none_zero_digit
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||||
+ delete_space
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||||
+ (pynutil.delete("sextilhão") | pynutil.delete("sextilhões")),
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||||
pynutil.insert("000", weight=0.01),
|
||||
)
|
||||
|
||||
graph = pynini.union(
|
||||
graph_sextilhoes
|
||||
+ delete_space
|
||||
+ graph_quintilhoes
|
||||
+ delete_space
|
||||
+ graph_quatrilhoes
|
||||
+ delete_space
|
||||
+ graph_trilhoes
|
||||
+ delete_space
|
||||
+ graph_bilhoes
|
||||
+ delete_space
|
||||
+ graph_milhoes
|
||||
+ delete_space
|
||||
+ graph_thousands
|
||||
+ delete_space
|
||||
+ graph_hundred_component,
|
||||
graph_zero,
|
||||
)
|
||||
|
||||
graph = graph @ pynini.union(
|
||||
pynutil.delete(pynini.closure("0"))
|
||||
+ pynini.difference(DAMO_DIGIT, "0")
|
||||
+ pynini.closure(DAMO_DIGIT),
|
||||
"0",
|
||||
)
|
||||
|
||||
graph = (
|
||||
pynini.cdrewrite(pynutil.delete("e"), DAMO_SPACE, DAMO_SPACE, DAMO_SIGMA)
|
||||
@ (DAMO_ALPHA + DAMO_SIGMA)
|
||||
@ graph
|
||||
)
|
||||
|
||||
else:
|
||||
graph_e = (
|
||||
pynutil.delete(DAMO_WHITE_SPACE.plus)
|
||||
+ pynutil.delete("e")
|
||||
+ pynutil.delete(DAMO_WHITE_SPACE.plus)
|
||||
)
|
||||
|
||||
graph_ties_component = pynini.union(
|
||||
graph_teen | graph_twenties,
|
||||
graph_ties + ((graph_e + graph_digit) | pynutil.insert("0")),
|
||||
pynutil.add_weight(pynutil.insert("0") + graph_digit, 0.1),
|
||||
) @ (pynini.closure(DAMO_DIGIT) + (DAMO_DIGIT - "0") + pynini.closure(DAMO_DIGIT))
|
||||
|
||||
graph_hundreds_except_hundred = (
|
||||
pynini.project(graph_hundreds, "input") - "cento"
|
||||
) @ graph_hundreds
|
||||
|
||||
graph_hundred_component_prefix_e = pynini.union(
|
||||
graph_one_hundred,
|
||||
pynutil.add_weight(graph_hundreds_except_hundred + pynutil.insert("00"), 0.1),
|
||||
pynutil.insert("0") + graph_ties_component,
|
||||
) @ (pynini.closure(DAMO_DIGIT) + (DAMO_DIGIT - "0") + pynini.closure(DAMO_DIGIT))
|
||||
graph_hundred_component_prefix_e = graph_hundred_component_prefix_e.optimize()
|
||||
|
||||
graph_hundred_component_no_prefix = pynini.union(
|
||||
graph_hundreds + graph_e + graph_ties_component,
|
||||
) @ (pynini.closure(DAMO_DIGIT) + (DAMO_DIGIT - "0") + pynini.closure(DAMO_DIGIT))
|
||||
graph_hundred_component_no_prefix = graph_hundred_component_no_prefix.optimize()
|
||||
|
||||
graph_mil_prefix_e = pynini.union(
|
||||
# because we say 'mil', not 'hum mil'
|
||||
(
|
||||
(graph_hundred_component_prefix_e + delete_space + pynutil.delete("mil"))
|
||||
| (pynutil.insert("001", weight=0.1) + pynutil.delete("mil"))
|
||||
)
|
||||
+ (
|
||||
(graph_e + graph_hundred_component_prefix_e)
|
||||
| (delete_space + graph_hundred_component_no_prefix)
|
||||
| pynutil.insert("000", weight=0.1)
|
||||
)
|
||||
)
|
||||
|
||||
graph_mil_no_prefix = pynini.union(
|
||||
(
|
||||
(graph_hundred_component_no_prefix + delete_space + pynutil.delete("mil"))
|
||||
| pynutil.insert("000", weight=0.1)
|
||||
)
|
||||
+ (
|
||||
(graph_e + graph_hundred_component_prefix_e)
|
||||
| (delete_space + graph_hundred_component_no_prefix)
|
||||
| pynutil.insert("000", weight=0.1)
|
||||
)
|
||||
)
|
||||
|
||||
graph_milhao_prefix_e = pynini.union(
|
||||
(
|
||||
graph_hundred_component_prefix_e
|
||||
+ delete_space
|
||||
+ (pynutil.delete("milhão") | pynutil.delete("milhões"))
|
||||
)
|
||||
+ ((graph_e + graph_mil_prefix_e) | (delete_space + graph_mil_no_prefix))
|
||||
)
|
||||
|
||||
graph_milhao_no_prefix = pynini.union(
|
||||
(
|
||||
(
|
||||
graph_hundred_component_no_prefix
|
||||
+ delete_space
|
||||
+ (pynutil.delete("milhão") | pynutil.delete("milhões"))
|
||||
)
|
||||
| pynutil.insert("000", weight=0.1)
|
||||
)
|
||||
+ ((graph_e + graph_mil_prefix_e) | (delete_space + graph_mil_no_prefix))
|
||||
)
|
||||
|
||||
graph_bilhao_prefix_e = pynini.union(
|
||||
(
|
||||
graph_hundred_component_prefix_e
|
||||
+ delete_space
|
||||
+ (pynutil.delete("bilhão") | pynutil.delete("bilhões"))
|
||||
)
|
||||
+ ((graph_e + graph_milhao_prefix_e) | (delete_space + graph_milhao_no_prefix))
|
||||
)
|
||||
|
||||
graph_bilhao_no_prefix = pynini.union(
|
||||
(
|
||||
(
|
||||
graph_hundred_component_no_prefix
|
||||
+ delete_space
|
||||
+ (pynutil.delete("bilhão") | pynutil.delete("bilhões"))
|
||||
)
|
||||
| pynutil.insert("000", weight=0.1)
|
||||
)
|
||||
+ ((graph_e + graph_milhao_prefix_e) | (delete_space + graph_milhao_no_prefix))
|
||||
)
|
||||
|
||||
graph_trilhao_prefix_e = pynini.union(
|
||||
(
|
||||
graph_hundred_component_prefix_e
|
||||
+ delete_space
|
||||
+ (pynutil.delete("trilhão") | pynutil.delete("trilhões"))
|
||||
)
|
||||
+ ((graph_e + graph_bilhao_prefix_e) | (delete_space + graph_bilhao_no_prefix))
|
||||
)
|
||||
|
||||
graph_trilhao_no_prefix = pynini.union(
|
||||
(
|
||||
(
|
||||
graph_hundred_component_no_prefix
|
||||
+ delete_space
|
||||
+ (pynutil.delete("trilhão") | pynutil.delete("trilhões"))
|
||||
)
|
||||
| pynutil.insert("000", weight=0.1)
|
||||
)
|
||||
+ ((graph_e + graph_bilhao_prefix_e) | (delete_space + graph_bilhao_no_prefix))
|
||||
)
|
||||
|
||||
graph_quatrilhao_prefix_e = pynini.union(
|
||||
(
|
||||
graph_hundred_component_prefix_e
|
||||
+ delete_space
|
||||
+ (pynutil.delete("quatrilhão") | pynutil.delete("quatrilhões"))
|
||||
)
|
||||
+ ((graph_e + graph_trilhao_prefix_e) | (delete_space + graph_trilhao_no_prefix))
|
||||
)
|
||||
|
||||
graph_quatrilhao_no_prefix = pynini.union(
|
||||
(
|
||||
(
|
||||
graph_hundred_component_no_prefix
|
||||
+ delete_space
|
||||
+ (pynutil.delete("quatrilhão") | pynutil.delete("quatrilhões"))
|
||||
)
|
||||
| pynutil.insert("000", weight=0.1)
|
||||
)
|
||||
+ ((graph_e + graph_trilhao_prefix_e) | (delete_space + graph_trilhao_no_prefix))
|
||||
)
|
||||
|
||||
graph_quintilhao_prefix_e = pynini.union(
|
||||
(
|
||||
graph_hundred_component_prefix_e
|
||||
+ delete_space
|
||||
+ (pynutil.delete("quintilhão") | pynutil.delete("quintilhões"))
|
||||
)
|
||||
+ (
|
||||
(graph_e + graph_quatrilhao_prefix_e)
|
||||
| (delete_space + graph_quatrilhao_no_prefix)
|
||||
)
|
||||
)
|
||||
|
||||
graph_quintilhao_no_prefix = pynini.union(
|
||||
(
|
||||
(
|
||||
graph_hundred_component_no_prefix
|
||||
+ delete_space
|
||||
+ (pynutil.delete("quintilhão") | pynutil.delete("quintilhões"))
|
||||
)
|
||||
| pynutil.insert("000", weight=0.1)
|
||||
)
|
||||
+ (
|
||||
(graph_e + graph_quatrilhao_prefix_e)
|
||||
| (delete_space + graph_quatrilhao_no_prefix)
|
||||
)
|
||||
)
|
||||
|
||||
graph_sextilhao_prefix_e = pynini.union(
|
||||
(
|
||||
graph_hundred_component_prefix_e
|
||||
+ delete_space
|
||||
+ (pynutil.delete("sextilhão") | pynutil.delete("sextilhões"))
|
||||
)
|
||||
+ (
|
||||
(graph_e + graph_quintilhao_prefix_e)
|
||||
| (delete_space + graph_quintilhao_no_prefix)
|
||||
)
|
||||
)
|
||||
|
||||
graph_sextilhao_no_prefix = pynini.union(
|
||||
(
|
||||
(
|
||||
graph_hundred_component_no_prefix
|
||||
+ delete_space
|
||||
+ (pynutil.delete("sextilhão") | pynutil.delete("sextilhões"))
|
||||
)
|
||||
| pynutil.insert("000", weight=0.1)
|
||||
)
|
||||
+ (
|
||||
(graph_e + graph_quintilhao_prefix_e)
|
||||
| (delete_space + graph_quintilhao_no_prefix)
|
||||
)
|
||||
)
|
||||
|
||||
graph = pynini.union(
|
||||
graph_sextilhao_no_prefix,
|
||||
graph_sextilhao_prefix_e,
|
||||
graph_quintilhao_prefix_e,
|
||||
graph_quatrilhao_prefix_e,
|
||||
graph_trilhao_prefix_e,
|
||||
graph_bilhao_prefix_e,
|
||||
graph_milhao_prefix_e,
|
||||
graph_mil_prefix_e,
|
||||
graph_hundred_component_prefix_e,
|
||||
graph_ties_component,
|
||||
graph_zero,
|
||||
).optimize()
|
||||
|
||||
graph = graph @ pynini.union(
|
||||
pynutil.delete(pynini.closure("0"))
|
||||
+ pynini.difference(DAMO_DIGIT, "0")
|
||||
+ pynini.closure(DAMO_DIGIT),
|
||||
"0",
|
||||
)
|
||||
|
||||
graph = graph.optimize()
|
||||
self.graph_no_exception = graph
|
||||
|
||||
# save self.numbers_up_to_thousand for use in DecimalFst
|
||||
digits_up_to_thousand = DAMO_DIGIT | (DAMO_DIGIT**2) | (DAMO_DIGIT**3)
|
||||
numbers_up_to_thousand = pynini.compose(graph, digits_up_to_thousand).optimize()
|
||||
self.numbers_up_to_thousand = numbers_up_to_thousand
|
||||
|
||||
# save self.numbers_up_to_million for use in DecimalFst
|
||||
digits_up_to_million = (
|
||||
DAMO_DIGIT
|
||||
| (DAMO_DIGIT**2)
|
||||
| (DAMO_DIGIT**3)
|
||||
| (DAMO_DIGIT**4)
|
||||
| (DAMO_DIGIT**5)
|
||||
| (DAMO_DIGIT**6)
|
||||
)
|
||||
numbers_up_to_million = pynini.compose(graph, digits_up_to_million).optimize()
|
||||
self.numbers_up_to_million = numbers_up_to_million
|
||||
|
||||
# save self.digits_from_year for use in DateFst
|
||||
digits_1_2099 = [str(digits) for digits in range(1, 2100)]
|
||||
digits_from_year = (numbers_up_to_million @ pynini.union(*digits_1_2099)).optimize()
|
||||
self.digits_from_year = digits_from_year
|
||||
|
||||
# don't convert cardinals from zero to nine inclusive
|
||||
graph_exception = pynini.project(pynini.union(graph_digit, graph_zero), "input")
|
||||
|
||||
self.graph = (pynini.project(graph, "input") - graph_exception.arcsort()) @ graph
|
||||
|
||||
optional_minus_graph = pynini.closure(
|
||||
pynutil.insert("negative: ") + pynini.cross("menos", '"-"') + DAMO_SPACE, 0, 1
|
||||
)
|
||||
|
||||
final_graph = (
|
||||
optional_minus_graph + pynutil.insert('integer: "') + self.graph + pynutil.insert('"')
|
||||
)
|
||||
|
||||
final_graph = self.add_tokens(final_graph)
|
||||
self.fst = final_graph.optimize()
|
||||
@@ -0,0 +1,77 @@
|
||||
import pynini
|
||||
from fun_text_processing.inverse_text_normalization.pt.utils import get_abs_path
|
||||
from fun_text_processing.text_normalization.en.graph_utils import (
|
||||
GraphFst,
|
||||
delete_extra_space,
|
||||
delete_space,
|
||||
)
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class DateFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for classifying date,
|
||||
e.g. primeiro de janeiro -> date { day: "1" month: "janeiro" }
|
||||
e.g. um de janeiro -> date { day: "1" month: "janeiro" }
|
||||
"""
|
||||
|
||||
def __init__(self, cardinal: GraphFst):
|
||||
super().__init__(name="date", kind="classify")
|
||||
|
||||
digits_from_year = cardinal.digits_from_year
|
||||
|
||||
graph_digit = pynini.string_file(get_abs_path("data/numbers/digit.tsv"))
|
||||
graph_ties = pynini.string_file(get_abs_path("data/numbers/ties.tsv"))
|
||||
graph_teen = pynini.string_file(get_abs_path("data/numbers/teen.tsv"))
|
||||
graph_twenties = pynini.string_file(get_abs_path("data/numbers/twenties.tsv"))
|
||||
|
||||
graph_1_to_100 = pynini.union(
|
||||
pynutil.insert("0") + graph_digit,
|
||||
graph_twenties,
|
||||
graph_teen,
|
||||
(graph_ties + pynutil.insert("0")),
|
||||
(graph_ties + pynutil.delete(" e ") + graph_digit),
|
||||
)
|
||||
|
||||
digits_1_to_31 = [str("{:0>2d}").format(digits) for digits in range(1, 32)]
|
||||
graph_1_to_31 = graph_1_to_100 @ pynini.union(*digits_1_to_31)
|
||||
# can use "primeiro" for 1st day of the month
|
||||
graph_1_to_31 = pynini.union(graph_1_to_31, pynini.cross("primeiro", "01"))
|
||||
|
||||
day_graph = pynutil.insert('day: "') + graph_1_to_31 + pynutil.insert('"')
|
||||
|
||||
month_name_graph = pynini.string_file(get_abs_path("data/months.tsv"))
|
||||
month_name_graph = pynutil.insert('month: "') + month_name_graph + pynutil.insert('"')
|
||||
|
||||
# vinte do oito -> 20/08
|
||||
digits_1_to_12 = [str("{:0>2d}").format(digits) for digits in range(1, 13)]
|
||||
graph_1_to_12 = graph_1_to_100 @ pynini.union(*digits_1_to_12)
|
||||
month_number_graph = pynutil.insert('month: "') + graph_1_to_12 + pynutil.insert('"')
|
||||
|
||||
graph_dm = (
|
||||
day_graph + delete_space + pynutil.delete("de") + delete_extra_space + month_name_graph
|
||||
)
|
||||
|
||||
graph_dm |= (
|
||||
day_graph
|
||||
+ delete_space
|
||||
+ pynutil.delete("do")
|
||||
+ delete_extra_space
|
||||
+ month_number_graph
|
||||
+ pynutil.insert(' morphosyntactic_features: "/"')
|
||||
)
|
||||
|
||||
graph_year = (
|
||||
delete_space
|
||||
+ pynutil.delete("de")
|
||||
+ delete_extra_space
|
||||
+ pynutil.insert('year: "')
|
||||
+ digits_from_year
|
||||
+ pynutil.insert('"')
|
||||
)
|
||||
graph_dmy = graph_dm + graph_year.ques
|
||||
|
||||
final_graph = graph_dmy
|
||||
final_graph += pynutil.insert(" preserve_order: true")
|
||||
final_graph = self.add_tokens(final_graph)
|
||||
self.fst = final_graph.optimize()
|
||||
@@ -0,0 +1,119 @@
|
||||
import pynini
|
||||
from fun_text_processing.inverse_text_normalization.pt.utils import get_abs_path
|
||||
from fun_text_processing.text_normalization.en.graph_utils import (
|
||||
DAMO_DIGIT,
|
||||
GraphFst,
|
||||
delete_extra_space,
|
||||
delete_space,
|
||||
)
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
def get_quantity(
|
||||
decimal: "pynini.FstLike", cardinal_up_to_million: "pynini.FstLike"
|
||||
) -> "pynini.FstLike":
|
||||
"""
|
||||
Returns FST that transforms either a cardinal or decimal followed by a quantity into a numeral,
|
||||
e.g. one million -> integer_part: "1" quantity: "million"
|
||||
e.g. one point five million -> integer_part: "1" fractional_part: "5" quantity: "million"
|
||||
|
||||
Args:
|
||||
decimal: decimal FST
|
||||
cardinal_up_to_million: cardinal FST
|
||||
"""
|
||||
numbers = cardinal_up_to_million @ (
|
||||
pynutil.delete(pynini.closure("0"))
|
||||
+ pynini.difference(DAMO_DIGIT, "0")
|
||||
+ pynini.closure(DAMO_DIGIT)
|
||||
)
|
||||
|
||||
suffix = pynini.union(
|
||||
"milhão",
|
||||
"milhões",
|
||||
"bilhão",
|
||||
"bilhões",
|
||||
"trilhão",
|
||||
"trilhões",
|
||||
"quatrilhão",
|
||||
"quatrilhões",
|
||||
"quintilhão",
|
||||
"quintilhões",
|
||||
"sextilhão",
|
||||
"sextilhões",
|
||||
)
|
||||
res = (
|
||||
pynutil.insert('integer_part: "')
|
||||
+ numbers
|
||||
+ pynutil.insert('"')
|
||||
+ delete_extra_space
|
||||
+ pynutil.insert('quantity: "')
|
||||
+ suffix
|
||||
+ pynutil.insert('"')
|
||||
)
|
||||
res |= (
|
||||
decimal + delete_extra_space + pynutil.insert('quantity: "') + suffix + pynutil.insert('"')
|
||||
)
|
||||
return res
|
||||
|
||||
|
||||
class DecimalFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for classifying decimal
|
||||
Decimal point is either "." or ",", determined by whether "ponto" or "vírgula" is spoken.
|
||||
e.g. menos um vírgula dois seis -> decimal { negative: "true" integer_part: "1" morphosyntactic_features: "," fractional_part: "26" }
|
||||
e.g. menos um ponto dois seis -> decimal { negative: "true" integer_part: "1" morphosyntactic_features: "." fractional_part: "26" }
|
||||
|
||||
This decimal rule assumes that decimals can be pronounced as:
|
||||
(a cardinal) + ('vírgula' or 'ponto') plus (any sequence of cardinals <1000, including 'zero')
|
||||
|
||||
Also writes large numbers in shortened form, e.g.
|
||||
e.g. um vírgula dois seis milhões -> decimal { negative: "false" integer_part: "1" morphosyntactic_features: "," fractional_part: "26" quantity: "milhões" }
|
||||
e.g. dois milhões -> decimal { negative: "false" integer_part: "2" quantity: "milhões" }
|
||||
e.g. mil oitcentos e vinte e quatro milhões -> decimal { negative: "false" integer_part: "1824" quantity: "milhões" }
|
||||
Args:
|
||||
cardinal: CardinalFst
|
||||
|
||||
"""
|
||||
|
||||
def __init__(self, cardinal: GraphFst):
|
||||
super().__init__(name="decimal", kind="classify")
|
||||
|
||||
# number after decimal point can be any series of cardinals <1000, including 'zero'
|
||||
graph_decimal = cardinal.numbers_up_to_thousand
|
||||
graph_decimal = pynini.closure(graph_decimal + delete_space) + graph_decimal
|
||||
self.graph = graph_decimal
|
||||
|
||||
# decimal point can be denoted by 'vírgula' or 'ponto'
|
||||
decimal_point = pynini.cross("vírgula", 'morphosyntactic_features: ","')
|
||||
decimal_point |= pynini.cross("ponto", 'morphosyntactic_features: "."')
|
||||
|
||||
optional_graph_negative = pynini.closure(
|
||||
pynutil.insert("negative: ") + pynini.cross("menos", '"true"') + delete_extra_space,
|
||||
0,
|
||||
1,
|
||||
)
|
||||
|
||||
graph_fractional = (
|
||||
pynutil.insert('fractional_part: "') + graph_decimal + pynutil.insert('"')
|
||||
)
|
||||
|
||||
cardinal_graph = cardinal.graph_no_exception | pynini.string_file(
|
||||
get_abs_path("data/numbers/zero.tsv")
|
||||
)
|
||||
graph_integer = pynutil.insert('integer_part: "') + cardinal_graph + pynutil.insert('"')
|
||||
final_graph_wo_sign = (
|
||||
pynini.closure(graph_integer + delete_extra_space, 0, 1)
|
||||
+ decimal_point
|
||||
+ delete_extra_space
|
||||
+ graph_fractional
|
||||
)
|
||||
final_graph = optional_graph_negative + final_graph_wo_sign
|
||||
|
||||
self.final_graph_wo_negative = final_graph_wo_sign | get_quantity(
|
||||
final_graph_wo_sign, cardinal.numbers_up_to_million
|
||||
)
|
||||
final_graph |= optional_graph_negative + get_quantity(
|
||||
final_graph_wo_sign, cardinal.numbers_up_to_million
|
||||
)
|
||||
final_graph = self.add_tokens(final_graph)
|
||||
self.fst = final_graph.optimize()
|
||||
@@ -0,0 +1,95 @@
|
||||
import pynini
|
||||
from fun_text_processing.inverse_text_normalization.pt.utils import get_abs_path
|
||||
from fun_text_processing.text_normalization.en.graph_utils import DAMO_ALPHA, GraphFst, insert_space
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class ElectronicFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for classifying 'electronic' semiotic classes, i.e.
|
||||
email address (which get converted to "username" and "domain" fields),
|
||||
and URLS (which get converted to a "protocol" field).
|
||||
e.g. c d f um arroba a b c ponto e d u -> tokens { electronic { username: "cdf1" domain: "abc.edu" } }
|
||||
e.g. dáblio dáblio dáblio a b c ponto e d u -> tokens { electronic { protocol: "www.abc.edu" } }
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(name="electronic", kind="classify")
|
||||
|
||||
delete_extra_space = pynutil.delete(" ")
|
||||
alpha_num = (
|
||||
DAMO_ALPHA
|
||||
| pynini.string_file(get_abs_path("data/numbers/digit.tsv"))
|
||||
| pynini.string_file(get_abs_path("data/numbers/zero.tsv"))
|
||||
)
|
||||
|
||||
symbols = pynini.string_file(get_abs_path("data/electronic/symbols.tsv")).invert()
|
||||
|
||||
accepted_username = alpha_num | symbols
|
||||
process_dot = pynini.cross("ponto", ".")
|
||||
username = (
|
||||
pynutil.insert('username: "')
|
||||
+ alpha_num
|
||||
+ delete_extra_space
|
||||
+ pynini.closure(accepted_username + delete_extra_space)
|
||||
+ alpha_num
|
||||
+ pynutil.insert('"')
|
||||
)
|
||||
single_alphanum = pynini.closure(alpha_num + delete_extra_space) + alpha_num
|
||||
server = (
|
||||
single_alphanum
|
||||
| pynini.string_file(get_abs_path("data/electronic/server_name.tsv")).invert()
|
||||
)
|
||||
domain = (
|
||||
single_alphanum
|
||||
| pynini.string_file(get_abs_path("data/electronic/domain.tsv")).invert()
|
||||
)
|
||||
domain_graph = (
|
||||
pynutil.insert('domain: "')
|
||||
+ server
|
||||
+ delete_extra_space
|
||||
+ process_dot
|
||||
+ delete_extra_space
|
||||
+ domain
|
||||
+ pynutil.insert('"')
|
||||
)
|
||||
graph = (
|
||||
username
|
||||
+ delete_extra_space
|
||||
+ pynutil.delete("arroba")
|
||||
+ insert_space
|
||||
+ delete_extra_space
|
||||
+ domain_graph
|
||||
)
|
||||
|
||||
############# url ###
|
||||
protocol_end = pynini.cross(pynini.union("www", "w w w", "dáblio dáblio dáblio"), "www")
|
||||
protocol_start = pynini.cross(pynini.union("http", "h t t p", "agá tê tê pê"), "http")
|
||||
protocol_start |= pynini.cross(
|
||||
pynini.union("https", "h t t p s", "agá tê tê pê ésse"), "https"
|
||||
)
|
||||
protocol_start += pynini.cross(" dois pontos barra barra ", "://")
|
||||
|
||||
# e.g. .com, .es
|
||||
ending = (
|
||||
delete_extra_space
|
||||
+ symbols
|
||||
+ delete_extra_space
|
||||
+ (domain | pynini.closure(accepted_username + delete_extra_space) + accepted_username)
|
||||
)
|
||||
|
||||
protocol = (
|
||||
pynini.closure(protocol_start, 0, 1)
|
||||
+ protocol_end
|
||||
+ delete_extra_space
|
||||
+ process_dot
|
||||
+ delete_extra_space
|
||||
+ (pynini.closure(delete_extra_space + accepted_username, 1) | server)
|
||||
+ pynini.closure(ending, 1)
|
||||
)
|
||||
protocol = pynutil.insert('protocol: "') + protocol + pynutil.insert('"')
|
||||
graph |= protocol
|
||||
########
|
||||
|
||||
final_graph = self.add_tokens(graph)
|
||||
self.fst = final_graph.optimize()
|
||||
@@ -0,0 +1,100 @@
|
||||
import pynini
|
||||
from fun_text_processing.inverse_text_normalization.pt.utils import get_abs_path
|
||||
from fun_text_processing.text_normalization.en.graph_utils import (
|
||||
DAMO_SIGMA,
|
||||
GraphFst,
|
||||
convert_space,
|
||||
delete_extra_space,
|
||||
delete_space,
|
||||
)
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class MeasureFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for classifying measure
|
||||
e.g. menos doze quilogramas -> measure { cardinal { negative: "true" integer: "12" } units: "kg" }
|
||||
|
||||
Args:
|
||||
cardinal: CardinalFst
|
||||
decimal: DecimalFst
|
||||
"""
|
||||
|
||||
def __init__(self, cardinal: GraphFst, decimal: GraphFst):
|
||||
super().__init__(name="measure", kind="classify")
|
||||
|
||||
cardinal_graph = cardinal.graph_no_exception
|
||||
|
||||
graph_unit_singular = pynini.string_file(
|
||||
get_abs_path("data/measurements_singular.tsv")
|
||||
).invert()
|
||||
graph_unit_plural = pynini.string_file(
|
||||
get_abs_path("data/measurements_plural.tsv")
|
||||
).invert()
|
||||
|
||||
optional_graph_negative = pynini.closure(
|
||||
pynutil.insert("negative: ") + pynini.cross("menos", '"true"') + delete_extra_space,
|
||||
0,
|
||||
1,
|
||||
)
|
||||
|
||||
unit_singular = convert_space(graph_unit_singular)
|
||||
unit_plural = convert_space(graph_unit_plural)
|
||||
unit_misc = (
|
||||
pynutil.insert("/")
|
||||
+ pynutil.delete("por")
|
||||
+ delete_space
|
||||
+ convert_space(graph_unit_singular)
|
||||
)
|
||||
|
||||
unit_singular = (
|
||||
pynutil.insert('units: "')
|
||||
+ (
|
||||
unit_singular
|
||||
| unit_misc
|
||||
| pynutil.add_weight(unit_singular + delete_space + unit_misc, 0.01)
|
||||
)
|
||||
+ pynutil.insert('"')
|
||||
)
|
||||
unit_plural = (
|
||||
pynutil.insert('units: "')
|
||||
+ (
|
||||
unit_plural
|
||||
| unit_misc
|
||||
| pynutil.add_weight(unit_plural + delete_space + unit_misc, 0.01)
|
||||
)
|
||||
+ pynutil.insert('"')
|
||||
)
|
||||
|
||||
subgraph_decimal = (
|
||||
pynutil.insert("decimal { ")
|
||||
+ optional_graph_negative
|
||||
+ decimal.final_graph_wo_negative
|
||||
+ pynutil.insert(" }")
|
||||
+ delete_extra_space
|
||||
+ unit_plural
|
||||
)
|
||||
subgraph_cardinal = (
|
||||
pynutil.insert("cardinal { ")
|
||||
+ optional_graph_negative
|
||||
+ pynutil.insert('integer: "')
|
||||
+ ((DAMO_SIGMA - "um" - "uma") @ cardinal_graph)
|
||||
+ pynutil.insert('"')
|
||||
+ pynutil.insert(" }")
|
||||
+ delete_extra_space
|
||||
+ unit_plural
|
||||
)
|
||||
subgraph_cardinal |= (
|
||||
pynutil.insert("cardinal { ")
|
||||
+ optional_graph_negative
|
||||
+ pynutil.insert('integer: "')
|
||||
+ (pynini.cross("um", "1") | pynini.cross("uma", "1"))
|
||||
+ pynutil.insert('"')
|
||||
+ pynutil.insert(" }")
|
||||
+ delete_extra_space
|
||||
+ unit_singular
|
||||
)
|
||||
|
||||
final_graph = subgraph_decimal | subgraph_cardinal
|
||||
final_graph = self.add_tokens(final_graph)
|
||||
self.fst = final_graph.optimize()
|
||||
@@ -0,0 +1,122 @@
|
||||
import pynini
|
||||
from fun_text_processing.inverse_text_normalization.pt.utils import get_abs_path
|
||||
from fun_text_processing.text_normalization.en.graph_utils import (
|
||||
DAMO_DIGIT,
|
||||
DAMO_SIGMA,
|
||||
GraphFst,
|
||||
convert_space,
|
||||
delete_extra_space,
|
||||
delete_space,
|
||||
insert_space,
|
||||
)
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class MoneyFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for classifying money
|
||||
e.g. doze dólares e cinco centavos -> money { integer_part: "12" fractional_part: "05" currency: "$" }
|
||||
|
||||
Args:
|
||||
cardinal: CardinalFst
|
||||
decimal: DecimalFst
|
||||
"""
|
||||
|
||||
def __init__(self, cardinal: GraphFst, decimal: GraphFst):
|
||||
super().__init__(name="money", kind="classify")
|
||||
# quantity, integer_part, fractional_part, currency
|
||||
|
||||
cardinal_graph = cardinal.graph_no_exception
|
||||
graph_decimal_final = decimal.final_graph_wo_negative
|
||||
|
||||
unit_singular = pynini.string_file(get_abs_path("data/currency_singular.tsv")).invert()
|
||||
unit_plural = pynini.string_file(get_abs_path("data/currency_plural.tsv")).invert()
|
||||
|
||||
graph_unit_singular = (
|
||||
pynutil.insert('currency: "') + convert_space(unit_singular) + pynutil.insert('"')
|
||||
)
|
||||
graph_unit_plural = (
|
||||
pynutil.insert('currency: "') + convert_space(unit_plural) + pynutil.insert('"')
|
||||
)
|
||||
|
||||
add_leading_zero_to_double_digit = (DAMO_DIGIT + DAMO_DIGIT) | (
|
||||
pynutil.insert("0") + DAMO_DIGIT
|
||||
)
|
||||
# twelve dollars (and) fifty cents, zero cents
|
||||
cents_standalone = (
|
||||
pynutil.insert('morphosyntactic_features: ","') # always use a comma in the decimal
|
||||
+ insert_space
|
||||
+ pynutil.insert('fractional_part: "')
|
||||
+ pynini.union(
|
||||
pynutil.add_weight(((DAMO_SIGMA - "um" - "uma") @ cardinal_graph), -0.7)
|
||||
@ add_leading_zero_to_double_digit
|
||||
+ delete_space
|
||||
+ pynutil.delete(pynini.union("centavos")),
|
||||
pynini.cross("um", "01") + delete_space + pynutil.delete(pynini.union("centavo")),
|
||||
)
|
||||
+ pynutil.insert('"')
|
||||
)
|
||||
|
||||
optional_cents_standalone = pynini.closure(
|
||||
delete_space
|
||||
+ pynini.closure((pynutil.delete("com") | pynutil.delete("e")) + delete_space, 0, 1)
|
||||
+ insert_space
|
||||
+ cents_standalone,
|
||||
0,
|
||||
1,
|
||||
)
|
||||
|
||||
# twelve dollars fifty, only after integer
|
||||
# setenta e cinco dólares com sessenta e três ~ $75,63
|
||||
optional_cents_suffix = pynini.closure(
|
||||
delete_extra_space
|
||||
+ pynutil.insert('morphosyntactic_features: ","') # always use a comma in the decimal
|
||||
+ insert_space
|
||||
+ pynutil.insert('fractional_part: "')
|
||||
+ pynini.closure((pynutil.delete("com") | pynutil.delete("e")) + delete_space, 0, 1)
|
||||
+ pynutil.add_weight(cardinal_graph @ add_leading_zero_to_double_digit, -0.7)
|
||||
+ pynutil.insert('"'),
|
||||
0,
|
||||
1,
|
||||
)
|
||||
|
||||
graph_integer = (
|
||||
pynutil.insert('integer_part: "')
|
||||
+ ((DAMO_SIGMA - "um" - "uma") @ cardinal_graph)
|
||||
+ pynutil.insert('"')
|
||||
+ delete_extra_space
|
||||
+ graph_unit_plural
|
||||
+ (optional_cents_standalone | optional_cents_suffix)
|
||||
)
|
||||
graph_integer |= (
|
||||
pynutil.insert('integer_part: "')
|
||||
+ (pynini.cross("um", "1") | pynini.cross("uma", "1"))
|
||||
+ pynutil.insert('"')
|
||||
+ delete_extra_space
|
||||
+ graph_unit_singular
|
||||
+ (optional_cents_standalone | optional_cents_suffix)
|
||||
)
|
||||
|
||||
graph_cents_standalone = pynini.union(
|
||||
pynutil.insert('currency: "R$" integer_part: "0" ') + cents_standalone,
|
||||
pynutil.add_weight(
|
||||
pynutil.insert('integer_part: "0" ')
|
||||
+ cents_standalone
|
||||
+ delete_extra_space
|
||||
+ pynutil.delete("de")
|
||||
+ delete_space
|
||||
+ graph_unit_singular,
|
||||
-0.1,
|
||||
),
|
||||
)
|
||||
|
||||
graph_decimal = (
|
||||
graph_decimal_final
|
||||
+ delete_extra_space
|
||||
+ (pynutil.delete("de") + delete_space).ques
|
||||
+ graph_unit_plural
|
||||
)
|
||||
graph_decimal |= graph_cents_standalone
|
||||
final_graph = graph_integer | graph_decimal
|
||||
final_graph = self.add_tokens(final_graph)
|
||||
self.fst = final_graph.optimize()
|
||||
@@ -0,0 +1,78 @@
|
||||
import pynini
|
||||
from fun_text_processing.inverse_text_normalization.pt.utils import get_abs_path
|
||||
from fun_text_processing.text_normalization.en.graph_utils import DAMO_SIGMA, GraphFst, delete_space
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class OrdinalFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for classifying ordinal
|
||||
vigésimo primeiro -> ordinal { integer: "21" morphosyntactic_features: "o" }
|
||||
This class converts ordinal up to "milésimo" (one thousandth) exclusive.
|
||||
|
||||
Cardinals below ten are not converted (in order to avoid
|
||||
e.g. "primero fez ..." -> "1º fez...", "segunda guerra mundial" -> "2ª guerra mundial"
|
||||
and any other odd conversions.)
|
||||
|
||||
This FST also records the ending of the ordinal (called "morphosyntactic_features"):
|
||||
either "o" or "a".
|
||||
|
||||
Args:
|
||||
cardinal: CardinalFst
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(name="ordinal", kind="classify")
|
||||
|
||||
graph_digit = pynini.string_file(get_abs_path("data/ordinals/digit.tsv"))
|
||||
graph_ties = pynini.string_file(get_abs_path("data/ordinals/ties.tsv"))
|
||||
graph_hundreds = pynini.string_file(get_abs_path("data/ordinals/hundreds.tsv"))
|
||||
|
||||
ordinal_graph_union = pynini.union(
|
||||
pynutil.add_weight(graph_digit, 0.4),
|
||||
pynutil.add_weight(
|
||||
graph_ties + ((delete_space + graph_digit) | pynutil.insert("0")), 0.2
|
||||
),
|
||||
graph_hundreds
|
||||
+ ((delete_space + graph_ties) | pynutil.insert("0"))
|
||||
+ ((delete_space + graph_digit) | pynutil.insert("0")),
|
||||
)
|
||||
|
||||
accept_o_endings = DAMO_SIGMA + pynini.accep("o")
|
||||
accept_a_endings = DAMO_SIGMA + pynini.accep("a")
|
||||
|
||||
ordinal_graph_o = accept_o_endings @ ordinal_graph_union
|
||||
ordinal_graph_a = accept_a_endings @ ordinal_graph_union
|
||||
|
||||
# 'optional_numbers_in_front' have negative weight so we always
|
||||
# include them if they're there
|
||||
optional_in_front = (
|
||||
pynutil.add_weight(ordinal_graph_union, -0.1) + delete_space.closure()
|
||||
).closure()
|
||||
graph_o_suffix = optional_in_front + ordinal_graph_o
|
||||
graph_a_suffix = optional_in_front + ordinal_graph_a
|
||||
|
||||
# don't convert ordinals from one to nine inclusive
|
||||
graph_exception = pynini.project(pynini.union(graph_digit), "input")
|
||||
graph_o_suffix = (
|
||||
pynini.project(graph_o_suffix, "input") - graph_exception.arcsort()
|
||||
) @ graph_o_suffix
|
||||
graph_a_suffix = (
|
||||
pynini.project(graph_a_suffix, "input") - graph_exception.arcsort()
|
||||
) @ graph_a_suffix
|
||||
|
||||
graph = (
|
||||
pynutil.insert('integer: "')
|
||||
+ graph_o_suffix
|
||||
+ pynutil.insert('"')
|
||||
+ pynutil.insert(' morphosyntactic_features: "o"')
|
||||
)
|
||||
graph |= (
|
||||
pynutil.insert('integer: "')
|
||||
+ graph_a_suffix
|
||||
+ pynutil.insert('"')
|
||||
+ pynutil.insert(' morphosyntactic_features: "a"')
|
||||
)
|
||||
|
||||
final_graph = self.add_tokens(graph)
|
||||
self.fst = final_graph.optimize()
|
||||
@@ -0,0 +1,20 @@
|
||||
import pynini
|
||||
from fun_text_processing.text_normalization.en.graph_utils import GraphFst
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class PunctuationFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for classifying punctuation
|
||||
e.g. a, -> tokens { name: "a" } tokens { name: "," }
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(name="punctuation", kind="classify")
|
||||
|
||||
s = "!#$%&'()*+,-./:;<=>?@^_`{|}~"
|
||||
punct = pynini.union(*s)
|
||||
|
||||
graph = pynutil.insert('name: "') + punct + pynutil.insert('"')
|
||||
|
||||
self.fst = graph.optimize()
|
||||
@@ -0,0 +1,125 @@
|
||||
import pynini
|
||||
from fun_text_processing.inverse_text_normalization.pt.utils import get_abs_path
|
||||
from fun_text_processing.text_normalization.en.graph_utils import (
|
||||
GraphFst,
|
||||
delete_space,
|
||||
insert_space,
|
||||
)
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class TelephoneFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for classifying telephone numbers, e.g.
|
||||
um dois um dois três quatro cinco seis sete oito nove -> { number_part: "(12) 12345-6789" }.
|
||||
If 11 digits are spoken, they are grouped as 2+5+4 (eg. (12) 34567-8901).
|
||||
If 10 digits are spoken, they are grouped as 2+4+4 (eg. (12) 3456-7890).
|
||||
If 9 digits are spoken, they are grouped as 5+4 (eg. 12345-6789).
|
||||
If 8 digits are spoken, they are grouped as 4+4 (eg. 1234-5678).
|
||||
In portuguese, digits are generally spoken individually, or as 2-digit numbers,
|
||||
eg. "trinta e quatro oitenta e dois" = "3482",
|
||||
"meia sete vinte" = "6720".
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(name="telephone", kind="classify")
|
||||
|
||||
# create `single_digits` and `double_digits` graphs as these will be
|
||||
# the building blocks of possible telephone numbers
|
||||
graph_digit = pynini.string_file(get_abs_path("data/numbers/digit.tsv"))
|
||||
graph_ties = pynini.string_file(get_abs_path("data/numbers/ties.tsv"))
|
||||
graph_twenties = pynini.string_file(get_abs_path("data/numbers/twenties.tsv"))
|
||||
graph_teen = pynini.string_file(get_abs_path("data/numbers/teen.tsv"))
|
||||
graph_zero = pynini.string_file(get_abs_path("data/numbers/zero.tsv"))
|
||||
graph_half = pynini.cross("meia", "6")
|
||||
|
||||
graph_all_digits = pynini.union(graph_digit, graph_half, graph_zero)
|
||||
|
||||
single_digits = pynini.invert(graph_all_digits).optimize()
|
||||
|
||||
double_digits = (
|
||||
pynini.union(
|
||||
graph_teen | graph_twenties,
|
||||
(graph_ties + pynutil.insert("0")),
|
||||
(graph_ties + delete_space + pynutil.delete("e") + delete_space + graph_digit),
|
||||
(graph_all_digits + delete_space + graph_all_digits),
|
||||
)
|
||||
.invert()
|
||||
.optimize()
|
||||
)
|
||||
|
||||
# define `eleven_digit_graph`, `ten_digit_graph`, `nine_digit_graph`, `eight_digit_graph`
|
||||
# which accept telephone numbers spoken (1) only with single digits,
|
||||
# or (2) spoken with double digits (and sometimes single digits)
|
||||
|
||||
# 11-digit option (2): (2) + (1+2+2) + (2+2) digits
|
||||
eleven_digit_graph = (
|
||||
pynutil.delete("(")
|
||||
+ double_digits
|
||||
+ insert_space
|
||||
+ pynutil.delete(") ")
|
||||
+ single_digits
|
||||
+ insert_space
|
||||
+ double_digits
|
||||
+ insert_space
|
||||
+ double_digits
|
||||
+ insert_space
|
||||
+ pynutil.delete("-")
|
||||
+ double_digits
|
||||
+ insert_space
|
||||
+ double_digits
|
||||
)
|
||||
|
||||
# 10-digit option (2): (2) + (2+2) + (2+2) digits
|
||||
ten_digit_graph = (
|
||||
pynutil.delete("(")
|
||||
+ double_digits
|
||||
+ insert_space
|
||||
+ pynutil.delete(") ")
|
||||
+ double_digits
|
||||
+ insert_space
|
||||
+ double_digits
|
||||
+ insert_space
|
||||
+ pynutil.delete("-")
|
||||
+ double_digits
|
||||
+ insert_space
|
||||
+ double_digits
|
||||
)
|
||||
|
||||
# 9-digit option (2): (1+2+2) + (2+2) digits
|
||||
nine_digit_graph = (
|
||||
single_digits
|
||||
+ insert_space
|
||||
+ double_digits
|
||||
+ insert_space
|
||||
+ double_digits
|
||||
+ insert_space
|
||||
+ pynutil.delete("-")
|
||||
+ double_digits
|
||||
+ insert_space
|
||||
+ double_digits
|
||||
)
|
||||
|
||||
# 8-digit option (2): (2+2) + (2+2) digits
|
||||
eight_digit_graph = (
|
||||
double_digits
|
||||
+ insert_space
|
||||
+ double_digits
|
||||
+ insert_space
|
||||
+ pynutil.delete("-")
|
||||
+ double_digits
|
||||
+ insert_space
|
||||
+ double_digits
|
||||
)
|
||||
|
||||
number_part = pynini.union(
|
||||
eleven_digit_graph, ten_digit_graph, nine_digit_graph, eight_digit_graph
|
||||
)
|
||||
|
||||
number_part = (
|
||||
pynutil.insert('number_part: "') + pynini.invert(number_part) + pynutil.insert('"')
|
||||
)
|
||||
|
||||
graph = number_part
|
||||
final_graph = self.add_tokens(graph)
|
||||
self.fst = final_graph.optimize()
|
||||
@@ -0,0 +1,223 @@
|
||||
import pynini
|
||||
from fun_text_processing.inverse_text_normalization.pt.utils import get_abs_path
|
||||
from fun_text_processing.text_normalization.en.graph_utils import (
|
||||
GraphFst,
|
||||
delete_space,
|
||||
insert_space,
|
||||
)
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class TimeFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for classifying time
|
||||
e.g. quinze pro meio dia -> time { hours: "11" minutes: "45" }
|
||||
e.g. quinze pra meia noite -> time { hours: "23" minutes: "45" }
|
||||
e.g. quinze pra uma -> time { hours: "12" minutes: "45" }
|
||||
e.g. dez pras duas -> time { hours: "1" minutes: "50" }
|
||||
e.g. quinze pras duas -> time { hours: "1" minutes: "45" }
|
||||
e.g. ao meio dia -> time { hours: "12" minutes: "00" morphosyntactic_features: "ao" }
|
||||
e.g. ao meio dia e meia -> time { hours: "12" minutes: "30" morphosyntactic_features: "ao" }
|
||||
e.g. ao meio dia e meio -> time { hours: "12" minutes: "30" morphosyntactic_features: "ao" }
|
||||
e.g. à meia noite e quinze -> time { hours: "0" minutes: "15" morphosyntactic_features: "à" }
|
||||
e.g. à meia noite e meia -> time { hours: "0" minutes: "30" morphosyntactic_features: "à" }
|
||||
e.g. à uma e trinta -> time { hours: "1" minutes: "30" morphosyntactic_features: "à" }
|
||||
e.g. às onze e trinta -> time { hours: "11" minutes: "30" morphosyntactic_features: "às" }
|
||||
e.g. às três horas e trinta minutos -> time { hours: "3" minutes: "30" morphosyntactic_features: "às" }
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(name="time", kind="classify")
|
||||
|
||||
# graph_hour_to_am = pynini.string_file(get_abs_path("data/time/hour_to_am.tsv"))
|
||||
# graph_hour_to_pm = pynini.string_file(get_abs_path("data/time/hour_to_pm.tsv"))
|
||||
graph_hours_to = pynini.string_file(get_abs_path("data/time/hours_to.tsv"))
|
||||
graph_minutes_to = pynini.string_file(get_abs_path("data/time/minutes_to.tsv"))
|
||||
graph_suffix_am = pynini.string_file(get_abs_path("data/time/time_suffix_am.tsv"))
|
||||
graph_suffix_pm = pynini.string_file(get_abs_path("data/time/time_suffix_pm.tsv"))
|
||||
|
||||
graph_digit = pynini.string_file(get_abs_path("data/numbers/digit.tsv"))
|
||||
graph_ties = pynini.string_file(get_abs_path("data/numbers/ties.tsv"))
|
||||
graph_teen = pynini.string_file(get_abs_path("data/numbers/teen.tsv"))
|
||||
graph_twenties = pynini.string_file(get_abs_path("data/numbers/twenties.tsv"))
|
||||
|
||||
graph_1_to_100 = pynini.union(
|
||||
graph_digit,
|
||||
graph_twenties,
|
||||
graph_teen,
|
||||
(graph_ties + pynutil.insert("0")),
|
||||
(graph_ties + pynutil.delete(" e ") + graph_digit),
|
||||
)
|
||||
|
||||
# note that graph_hour will start from 2 hours
|
||||
# "1 o'clock" will be treated differently because it
|
||||
# is singular
|
||||
digits_2_to_23 = [str(digits) for digits in range(2, 24)]
|
||||
digits_1_to_59 = [str(digits) for digits in range(1, 60)]
|
||||
|
||||
graph_2_to_23 = graph_1_to_100 @ pynini.union(*digits_2_to_23)
|
||||
graph_1_to_59 = graph_1_to_100 @ pynini.union(*digits_1_to_59)
|
||||
graph_uma = pynini.cross("uma", "1")
|
||||
|
||||
# Mapping 'horas'
|
||||
graph_hour = pynutil.delete(pynini.accep("hora") + pynini.accep("s").ques)
|
||||
graph_minute = pynutil.delete(pynini.accep("minuto") + pynini.accep("s").ques)
|
||||
|
||||
# Mapping 'meio dia' and 'meia noite'
|
||||
graph_meio_dia = pynini.cross("meio dia", "12")
|
||||
graph_meia_noite = pynini.cross("meia noite", "0")
|
||||
|
||||
# Mapping 'e meia'
|
||||
graph_e = delete_space + pynutil.delete(" e ") + delete_space
|
||||
graph_e_meia = graph_e + pynini.cross("meia", "30")
|
||||
graph_e_meio = graph_e + pynini.cross("meio", "30")
|
||||
|
||||
# à uma e meia -> 1:30
|
||||
# às três e meia -> 3:30
|
||||
graph_hours_at_prefix_singular = (
|
||||
pynutil.insert('morphosyntactic_features: "')
|
||||
+ (pynini.cross("à", "à") | pynini.cross("a", "à"))
|
||||
+ pynutil.insert('" ')
|
||||
+ delete_space
|
||||
)
|
||||
graph_hours_at_singular = (
|
||||
graph_hours_at_prefix_singular
|
||||
+ pynutil.insert('hours: "')
|
||||
+ graph_uma
|
||||
+ pynutil.insert('"')
|
||||
+ (delete_space + graph_hour).ques
|
||||
)
|
||||
graph_hours_at_prefix_plural = (
|
||||
pynutil.insert('morphosyntactic_features: "')
|
||||
+ (pynini.cross("às", "às") | pynini.cross("as", "às"))
|
||||
+ pynutil.insert('" ')
|
||||
+ delete_space
|
||||
)
|
||||
graph_hours_at_plural = (
|
||||
graph_hours_at_prefix_plural
|
||||
+ pynutil.insert('hours: "')
|
||||
+ graph_2_to_23
|
||||
+ pynutil.insert('"')
|
||||
+ (delete_space + graph_hour).ques
|
||||
)
|
||||
final_graph_hour_at = graph_hours_at_singular | graph_hours_at_plural
|
||||
|
||||
graph_minutes_component_without_zero = (
|
||||
graph_e + graph_1_to_59 + (delete_space + graph_minute).ques
|
||||
)
|
||||
graph_minutes_component_without_zero |= (
|
||||
graph_e_meia + pynutil.delete(delete_space + pynini.accep("hora")).ques
|
||||
)
|
||||
final_graph_minute = (
|
||||
pynutil.insert(' minutes: "')
|
||||
+ graph_minutes_component_without_zero
|
||||
+ pynutil.insert('"')
|
||||
)
|
||||
|
||||
graph_hm = final_graph_hour_at + final_graph_minute
|
||||
|
||||
# à uma hora -> 1:00
|
||||
graph_hours_at_singular_with_hour = (
|
||||
graph_hours_at_prefix_singular
|
||||
+ pynutil.insert('hours: "')
|
||||
+ graph_uma
|
||||
+ pynutil.insert('"')
|
||||
+ delete_space
|
||||
+ graph_hour
|
||||
)
|
||||
|
||||
graph_hours_at_plural_with_hour = (
|
||||
graph_hours_at_prefix_plural
|
||||
+ pynutil.insert('hours: "')
|
||||
+ graph_2_to_23
|
||||
+ pynutil.insert('"')
|
||||
+ delete_space
|
||||
+ graph_hour
|
||||
)
|
||||
|
||||
graph_hm |= (
|
||||
graph_hours_at_singular_with_hour | graph_hours_at_plural_with_hour
|
||||
) + pynutil.insert(' minutes: "00"', weight=0.2)
|
||||
|
||||
# meio dia e meia -> 12:30
|
||||
# meia noite e meia -> 0:30
|
||||
graph_minutes_without_zero = (
|
||||
pynutil.insert(' minutes: "')
|
||||
+ graph_minutes_component_without_zero
|
||||
+ pynutil.insert('"')
|
||||
)
|
||||
graph_meio_min = (
|
||||
pynutil.insert('hours: "')
|
||||
+ (graph_meio_dia | graph_meia_noite)
|
||||
+ pynutil.insert('"')
|
||||
+ graph_minutes_without_zero
|
||||
)
|
||||
graph_meio_min |= (
|
||||
pynutil.insert('hours: "')
|
||||
+ graph_meio_dia
|
||||
+ pynutil.insert('" minutes: "')
|
||||
+ graph_e_meio
|
||||
+ pynutil.insert('"')
|
||||
)
|
||||
graph_hm |= graph_meio_min
|
||||
|
||||
# às quinze para as quatro -> às 3:45
|
||||
# NOTE: case 'para à uma' ('to one') could be either 0:XX or 12:XX
|
||||
# leading to wrong reading ('meio dia e ...' or 'meia noite e ...')
|
||||
graph_para_a = (
|
||||
pynutil.delete("para")
|
||||
| pynutil.delete("para a")
|
||||
| pynutil.delete("para as")
|
||||
| pynutil.delete("pra")
|
||||
| pynutil.delete("pras")
|
||||
)
|
||||
graph_para_o = pynutil.delete("para") | pynutil.delete("para o") | pynutil.delete("pro")
|
||||
|
||||
graph_pra_min = (
|
||||
pynutil.insert('morphosyntactic_features: "')
|
||||
+ (
|
||||
pynini.cross("à", "à")
|
||||
| pynini.cross("às", "às")
|
||||
| pynini.cross("a", "à")
|
||||
| pynini.cross("as", "às")
|
||||
)
|
||||
+ pynutil.insert('" ')
|
||||
+ delete_space
|
||||
)
|
||||
graph_pra_min += (
|
||||
pynutil.insert('minutes: "')
|
||||
+ (graph_1_to_59 @ graph_minutes_to)
|
||||
+ pynutil.insert('" ')
|
||||
+ (delete_space + graph_minute).ques
|
||||
)
|
||||
graph_pra_hour = (
|
||||
pynutil.insert('hours: "')
|
||||
+ (graph_2_to_23 @ graph_hours_to)
|
||||
+ pynutil.insert('"')
|
||||
+ (delete_space + graph_hour).ques
|
||||
)
|
||||
graph_pra_hour |= (
|
||||
pynutil.insert('hours: "') + (graph_meia_noite @ graph_hours_to) + pynutil.insert('"')
|
||||
)
|
||||
|
||||
graph_pra = graph_pra_min + delete_space + graph_para_a + delete_space + graph_pra_hour
|
||||
|
||||
# às quinze pro meio dia -> às 11:45
|
||||
graph_pro = graph_pra_min + delete_space + graph_para_o + delete_space
|
||||
graph_pro += (
|
||||
pynutil.insert(' hours: "') + (graph_meio_dia @ graph_hours_to) + pynutil.insert('"')
|
||||
)
|
||||
|
||||
graph_mh = graph_pra | graph_pro
|
||||
|
||||
# optional suffix
|
||||
final_suffix = (
|
||||
pynutil.insert('suffix: "') + (graph_suffix_am | graph_suffix_pm) + pynutil.insert('"')
|
||||
)
|
||||
final_suffix_optional = pynini.closure(delete_space + insert_space + final_suffix, 0, 1)
|
||||
|
||||
final_graph = pynini.union((graph_hm | graph_mh) + final_suffix_optional).optimize()
|
||||
|
||||
final_graph = self.add_tokens(final_graph)
|
||||
|
||||
self.fst = final_graph.optimize()
|
||||
@@ -0,0 +1,102 @@
|
||||
import os
|
||||
|
||||
import pynini
|
||||
from fun_text_processing.inverse_text_normalization.pt.taggers.cardinal import CardinalFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.taggers.date import DateFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.taggers.decimal import DecimalFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.taggers.electronic import ElectronicFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.taggers.measure import MeasureFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.taggers.money import MoneyFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.taggers.ordinal import OrdinalFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.taggers.punctuation import PunctuationFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.taggers.telephone import TelephoneFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.taggers.time import TimeFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.taggers.whitelist import WhiteListFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.taggers.word import WordFst
|
||||
from fun_text_processing.text_normalization.en.graph_utils import (
|
||||
GraphFst,
|
||||
delete_extra_space,
|
||||
delete_space,
|
||||
generator_main,
|
||||
)
|
||||
from pynini.lib import pynutil
|
||||
|
||||
import logging
|
||||
|
||||
|
||||
class ClassifyFst(GraphFst):
|
||||
"""
|
||||
Final class that composes all other classification grammars. This class can process an entire sentence, that is lower cased.
|
||||
For deployment, this grammar will be compiled and exported to OpenFst Finate State Archiv (FAR) File.
|
||||
More details to deployment at NeMo/tools/text_processing_deployment.
|
||||
|
||||
Args:
|
||||
cache_dir: path to a dir with .far grammar file. Set to None to avoid using cache.
|
||||
overwrite_cache: set to True to overwrite .far files
|
||||
"""
|
||||
|
||||
def __init__(self, cache_dir: str = None, overwrite_cache: bool = False):
|
||||
super().__init__(name="tokenize_and_classify", kind="classify")
|
||||
|
||||
far_file = None
|
||||
if cache_dir is not None and cache_dir != "None":
|
||||
os.makedirs(cache_dir, exist_ok=True)
|
||||
far_file = os.path.join(cache_dir, "_pt_itn.far")
|
||||
if not overwrite_cache and far_file and os.path.exists(far_file):
|
||||
self.fst = pynini.Far(far_file, mode="r")["tokenize_and_classify"]
|
||||
logging.info(f"ClassifyFst.fst was restored from {far_file}.")
|
||||
else:
|
||||
logging.info(f"Creating ClassifyFst grammars.")
|
||||
|
||||
cardinal = CardinalFst(use_strict_e=True)
|
||||
cardinal_graph = cardinal.fst
|
||||
|
||||
ordinal_graph = OrdinalFst().fst
|
||||
|
||||
decimal = DecimalFst(cardinal)
|
||||
decimal_graph = decimal.fst
|
||||
|
||||
measure_graph = MeasureFst(cardinal=cardinal, decimal=decimal).fst
|
||||
date_graph = DateFst(cardinal=cardinal).fst
|
||||
word_graph = WordFst().fst
|
||||
time_graph = TimeFst().fst
|
||||
money_graph = MoneyFst(cardinal=cardinal, decimal=decimal).fst
|
||||
whitelist_graph = WhiteListFst().fst
|
||||
punct_graph = PunctuationFst().fst
|
||||
electronic_graph = ElectronicFst().fst
|
||||
telephone_graph = TelephoneFst().fst
|
||||
|
||||
classify = (
|
||||
pynutil.add_weight(whitelist_graph, 1.01)
|
||||
| pynutil.add_weight(time_graph, 1.09)
|
||||
| pynutil.add_weight(date_graph, 1.09)
|
||||
| pynutil.add_weight(decimal_graph, 1.09)
|
||||
| pynutil.add_weight(measure_graph, 1.1)
|
||||
| pynutil.add_weight(cardinal_graph, 1.1)
|
||||
| pynutil.add_weight(ordinal_graph, 1.1)
|
||||
| pynutil.add_weight(money_graph, 1.1)
|
||||
| pynutil.add_weight(telephone_graph, 1.1)
|
||||
| pynutil.add_weight(electronic_graph, 1.1)
|
||||
| pynutil.add_weight(word_graph, 100)
|
||||
)
|
||||
|
||||
punct = (
|
||||
pynutil.insert("tokens { ")
|
||||
+ pynutil.add_weight(punct_graph, weight=1.1)
|
||||
+ pynutil.insert(" }")
|
||||
)
|
||||
token = pynutil.insert("tokens { ") + classify + pynutil.insert(" }")
|
||||
token_plus_punct = (
|
||||
pynini.closure(punct + pynutil.insert(" "))
|
||||
+ token
|
||||
+ pynini.closure(pynutil.insert(" ") + punct)
|
||||
)
|
||||
|
||||
graph = token_plus_punct + pynini.closure(delete_extra_space + token_plus_punct)
|
||||
graph = delete_space + graph + delete_space
|
||||
|
||||
self.fst = graph.optimize()
|
||||
|
||||
if far_file:
|
||||
generator_main(far_file, {"tokenize_and_classify": self.fst})
|
||||
logging.info(f"ClassifyFst grammars are saved to {far_file}.")
|
||||
@@ -0,0 +1,19 @@
|
||||
import pynini
|
||||
from fun_text_processing.inverse_text_normalization.pt.utils import get_abs_path
|
||||
from fun_text_processing.text_normalization.en.graph_utils import GraphFst, convert_space
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class WhiteListFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for classifying whitelisted tokens
|
||||
e.g. usted -> tokens { name: "ud." }
|
||||
This class has highest priority among all classifier grammars. Whitelisted tokens are defined and loaded from "data/whitelist.tsv".
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(name="whitelist", kind="classify")
|
||||
|
||||
whitelist = pynini.string_file(get_abs_path("data/whitelist.tsv")).invert()
|
||||
graph = pynutil.insert('name: "') + convert_space(whitelist) + pynutil.insert('"')
|
||||
self.fst = graph.optimize()
|
||||
@@ -0,0 +1,15 @@
|
||||
import pynini
|
||||
from fun_text_processing.text_normalization.en.graph_utils import DAMO_NOT_SPACE, GraphFst
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class WordFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for classifying plain tokens, that do not belong to any special class. This can be considered as the default class.
|
||||
e.g. sleep -> tokens { name: "sleep" }
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(name="word", kind="classify")
|
||||
word = pynutil.insert('name: "') + pynini.closure(DAMO_NOT_SPACE, 1) + pynutil.insert('"')
|
||||
self.fst = word.optimize()
|
||||
@@ -0,0 +1,13 @@
|
||||
import os
|
||||
|
||||
|
||||
def get_abs_path(rel_path):
|
||||
"""
|
||||
Get absolute path
|
||||
|
||||
Args:
|
||||
rel_path: relative path to this file
|
||||
|
||||
Returns absolute path
|
||||
"""
|
||||
return os.path.dirname(os.path.abspath(__file__)) + "/" + rel_path
|
||||
@@ -0,0 +1 @@
|
||||
|
||||
@@ -0,0 +1,38 @@
|
||||
import pynini
|
||||
from fun_text_processing.text_normalization.en.graph_utils import (
|
||||
DAMO_NOT_QUOTE,
|
||||
GraphFst,
|
||||
delete_space,
|
||||
)
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class CardinalFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for verbalizing cardinal
|
||||
e.g. cardinal { negative: "-" integer: "23" } -> -23
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(name="cardinal", kind="verbalize")
|
||||
optional_sign = pynini.closure(
|
||||
pynutil.delete("negative:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ DAMO_NOT_QUOTE
|
||||
+ pynutil.delete('"')
|
||||
+ delete_space,
|
||||
0,
|
||||
1,
|
||||
)
|
||||
graph = (
|
||||
pynutil.delete("integer:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ pynini.closure(DAMO_NOT_QUOTE, 1)
|
||||
+ pynutil.delete('"')
|
||||
)
|
||||
self.numbers = graph
|
||||
graph = optional_sign + graph
|
||||
delete_tokens = self.delete_tokens(graph)
|
||||
self.fst = delete_tokens.optimize()
|
||||
@@ -0,0 +1,73 @@
|
||||
import pynini
|
||||
from fun_text_processing.text_normalization.en.graph_utils import (
|
||||
DAMO_NOT_QUOTE,
|
||||
GraphFst,
|
||||
delete_extra_space,
|
||||
delete_space,
|
||||
insert_space,
|
||||
)
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class DateFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for verbalizing date, e.g.
|
||||
date { day: "1" month: "enero" preserve_order: true } -> 1 de enero
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(name="date", kind="verbalize")
|
||||
month = (
|
||||
pynutil.delete("month:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ pynini.closure(DAMO_NOT_QUOTE, 1)
|
||||
+ pynutil.delete('"')
|
||||
)
|
||||
day = (
|
||||
pynutil.delete("day:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ pynini.closure(DAMO_NOT_QUOTE, 1)
|
||||
+ pynutil.delete('"')
|
||||
)
|
||||
year = (
|
||||
pynutil.delete("year:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ pynini.closure(DAMO_NOT_QUOTE, 1)
|
||||
+ pynutil.delete('"')
|
||||
)
|
||||
|
||||
# day month
|
||||
graph_dmy = (
|
||||
day
|
||||
+ delete_extra_space
|
||||
+ pynutil.insert("de")
|
||||
+ insert_space
|
||||
+ month
|
||||
+ (delete_extra_space + pynutil.insert("de") + insert_space + year).ques
|
||||
)
|
||||
graph_dmy |= (
|
||||
day
|
||||
+ delete_space
|
||||
+ pynutil.insert("/")
|
||||
+ month
|
||||
+ pynutil.delete(' morphosyntactic_features: "/"')
|
||||
+ (delete_space + pynutil.insert("/") + year).ques
|
||||
)
|
||||
|
||||
optional_preserve_order = pynini.closure(
|
||||
pynutil.delete("preserve_order:") + delete_space + pynutil.delete("true") + delete_space
|
||||
| pynutil.delete("field_order:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ DAMO_NOT_QUOTE
|
||||
+ pynutil.delete('"')
|
||||
+ delete_space
|
||||
)
|
||||
|
||||
final_graph = graph_dmy + delete_space + optional_preserve_order
|
||||
|
||||
delete_tokens = self.delete_tokens(final_graph)
|
||||
self.fst = delete_tokens.optimize()
|
||||
@@ -0,0 +1,56 @@
|
||||
import pynini
|
||||
from fun_text_processing.text_normalization.en.graph_utils import (
|
||||
DAMO_NOT_QUOTE,
|
||||
GraphFst,
|
||||
delete_space,
|
||||
)
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class DecimalFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for verbalizing decimal,
|
||||
e.g. decimal { negative: "true" integer_part: "1" morphosyntactic_features: "," fractional_part: "26" } -> -1,26
|
||||
e.g. decimal { negative: "true" integer_part: "1" morphosyntactic_features: "." fractional_part: "26" } -> -1.26
|
||||
e.g. decimal { negative: "false" integer_part: "1" morphosyntactic_features: "," fractional_part: "26" quantity: "millón" } -> 1,26 millón
|
||||
e.g. decimal { negative: "false" integer_part: "2" quantity: "millones" } -> 2 millones
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(name="decimal", kind="verbalize")
|
||||
optionl_sign = pynini.closure(pynini.cross('negative: "true"', "-") + delete_space, 0, 1)
|
||||
integer = (
|
||||
pynutil.delete("integer_part:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ pynini.closure(DAMO_NOT_QUOTE, 1)
|
||||
+ pynutil.delete('"')
|
||||
)
|
||||
optional_integer = pynini.closure(integer + delete_space, 0, 1)
|
||||
|
||||
decimal_point = pynini.cross('morphosyntactic_features: ","', ",")
|
||||
decimal_point |= pynini.cross('morphosyntactic_features: "."', ".")
|
||||
|
||||
fractional = (
|
||||
decimal_point
|
||||
+ delete_space
|
||||
+ pynutil.delete("fractional_part:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ pynini.closure(DAMO_NOT_QUOTE, 1)
|
||||
+ pynutil.delete('"')
|
||||
)
|
||||
optional_fractional = pynini.closure(fractional + delete_space, 0, 1)
|
||||
quantity = (
|
||||
pynutil.delete("quantity:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ pynini.closure(DAMO_NOT_QUOTE, 1)
|
||||
+ pynutil.delete('"')
|
||||
)
|
||||
optional_quantity = pynini.closure(pynutil.insert(" ") + quantity + delete_space, 0, 1)
|
||||
graph = optional_integer + optional_fractional + optional_quantity
|
||||
self.numbers = graph
|
||||
graph = optionl_sign + graph
|
||||
delete_tokens = self.delete_tokens(graph)
|
||||
self.fst = delete_tokens.optimize()
|
||||
@@ -0,0 +1,45 @@
|
||||
import pynini
|
||||
from fun_text_processing.text_normalization.en.graph_utils import (
|
||||
DAMO_NOT_QUOTE,
|
||||
GraphFst,
|
||||
delete_space,
|
||||
)
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class ElectronicFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for verbalizing electronic
|
||||
e.g. tokens { electronic { username: "cdf1" domain: "abc.edu" } } -> cdf1@abc.edu
|
||||
e.g. tokens { electronic { protocol: "www.abc.edu" } } -> www.abc.edu
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(name="electronic", kind="verbalize")
|
||||
user_name = (
|
||||
pynutil.delete("username:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ pynini.closure(DAMO_NOT_QUOTE, 1)
|
||||
+ pynutil.delete('"')
|
||||
)
|
||||
domain = (
|
||||
pynutil.delete("domain:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ pynini.closure(DAMO_NOT_QUOTE, 1)
|
||||
+ pynutil.delete('"')
|
||||
)
|
||||
|
||||
protocol = (
|
||||
pynutil.delete("protocol:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ pynini.closure(DAMO_NOT_QUOTE, 1)
|
||||
+ pynutil.delete('"')
|
||||
)
|
||||
|
||||
graph = user_name + delete_space + pynutil.insert("@") + domain
|
||||
graph |= protocol
|
||||
delete_tokens = self.delete_tokens(graph)
|
||||
self.fst = delete_tokens.optimize()
|
||||
@@ -0,0 +1,47 @@
|
||||
import pynini
|
||||
from fun_text_processing.text_normalization.en.graph_utils import DAMO_CHAR, GraphFst, delete_space
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class MeasureFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for verbalizing measure, e.g.
|
||||
measure { cardinal { negative: "true" integer: "12" } units: "kg" } -> -12 kg
|
||||
|
||||
Args:
|
||||
decimal: DecimalFst
|
||||
cardinal: CardinalFst
|
||||
"""
|
||||
|
||||
def __init__(self, decimal: GraphFst, cardinal: GraphFst):
|
||||
super().__init__(name="measure", kind="verbalize")
|
||||
optional_sign = pynini.closure(pynini.cross('negative: "true"', "-"), 0, 1)
|
||||
unit = (
|
||||
pynutil.delete("units:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ pynini.closure(DAMO_CHAR - " ", 1)
|
||||
+ pynutil.delete('"')
|
||||
+ delete_space
|
||||
)
|
||||
graph_decimal = (
|
||||
pynutil.delete("decimal {")
|
||||
+ delete_space
|
||||
+ optional_sign
|
||||
+ delete_space
|
||||
+ decimal.numbers
|
||||
+ delete_space
|
||||
+ pynutil.delete("}")
|
||||
)
|
||||
graph_cardinal = (
|
||||
pynutil.delete("cardinal {")
|
||||
+ delete_space
|
||||
+ optional_sign
|
||||
+ delete_space
|
||||
+ cardinal.numbers
|
||||
+ delete_space
|
||||
+ pynutil.delete("}")
|
||||
)
|
||||
graph = (graph_cardinal | graph_decimal) + delete_space + pynutil.insert(" ") + unit
|
||||
delete_tokens = self.delete_tokens(graph)
|
||||
self.fst = delete_tokens.optimize()
|
||||
@@ -0,0 +1,31 @@
|
||||
import pynini
|
||||
from fun_text_processing.text_normalization.en.graph_utils import (
|
||||
DAMO_CHAR,
|
||||
GraphFst,
|
||||
delete_space,
|
||||
insert_space,
|
||||
)
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class MoneyFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for verbalizing money, e.g.
|
||||
money { integer_part: "12" morphosyntactic_features: "," fractional_part: "05" currency: "$" } -> $12,05
|
||||
|
||||
Args:
|
||||
decimal: DecimalFst
|
||||
"""
|
||||
|
||||
def __init__(self, decimal: GraphFst):
|
||||
super().__init__(name="money", kind="verbalize")
|
||||
unit = (
|
||||
pynutil.delete("currency:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ pynini.closure(DAMO_CHAR - " ", 1)
|
||||
+ pynutil.delete('"')
|
||||
)
|
||||
graph = unit + delete_space + insert_space + decimal.numbers
|
||||
delete_tokens = self.delete_tokens(graph)
|
||||
self.fst = delete_tokens.optimize()
|
||||
@@ -0,0 +1,34 @@
|
||||
import pynini
|
||||
from fun_text_processing.text_normalization.en.graph_utils import (
|
||||
DAMO_NOT_QUOTE,
|
||||
GraphFst,
|
||||
delete_space,
|
||||
)
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class OrdinalFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for verbalizing ordinal, e.g.
|
||||
ordinal { integer: "13" morphosyntactic_features: "o" } -> 13º
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(name="ordinal", kind="verbalize")
|
||||
graph = (
|
||||
pynutil.delete("integer:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ pynini.closure(DAMO_NOT_QUOTE, 1)
|
||||
+ pynutil.delete('"')
|
||||
)
|
||||
|
||||
replace_suffix = pynini.union(
|
||||
pynini.cross(' morphosyntactic_features: "o"', "º"),
|
||||
pynini.cross(' morphosyntactic_features: "a"', "ª"),
|
||||
)
|
||||
|
||||
graph = graph + replace_suffix
|
||||
|
||||
delete_tokens = self.delete_tokens(graph)
|
||||
self.fst = delete_tokens.optimize()
|
||||
@@ -0,0 +1,22 @@
|
||||
import pynini
|
||||
from fun_text_processing.text_normalization.en.graph_utils import DAMO_NOT_QUOTE, GraphFst
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class TelephoneFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for verbalizing telephone, e.g.
|
||||
telephone { number_part: "123-123-5678" }
|
||||
-> 123-123-5678
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(name="telephone", kind="verbalize")
|
||||
|
||||
number_part = (
|
||||
pynutil.delete('number_part: "')
|
||||
+ pynini.closure(DAMO_NOT_QUOTE, 1)
|
||||
+ pynutil.delete('"')
|
||||
)
|
||||
delete_tokens = self.delete_tokens(number_part)
|
||||
self.fst = delete_tokens.optimize()
|
||||
@@ -0,0 +1,70 @@
|
||||
import pynini
|
||||
from fun_text_processing.text_normalization.en.graph_utils import (
|
||||
DAMO_DIGIT,
|
||||
DAMO_NOT_QUOTE,
|
||||
GraphFst,
|
||||
delete_space,
|
||||
insert_space,
|
||||
)
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class TimeFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for verbalizing time,
|
||||
e.g. time { hours: "à 1" minutes: "10" } -> à 1:10
|
||||
e.g. time { hours: "às 2" minutes: "45" } -> às 2:45
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(name="time", kind="verbalize")
|
||||
add_leading_zero_to_double_digit = (DAMO_DIGIT + DAMO_DIGIT) | (
|
||||
pynutil.insert("0") + DAMO_DIGIT
|
||||
)
|
||||
|
||||
prefix = (
|
||||
pynutil.delete("morphosyntactic_features:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ pynini.closure(DAMO_NOT_QUOTE, 1)
|
||||
+ pynutil.delete('"')
|
||||
+ delete_space
|
||||
+ insert_space
|
||||
)
|
||||
optional_prefix = pynini.closure(prefix, 0, 1)
|
||||
|
||||
hour = (
|
||||
pynutil.delete("hours:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ pynini.closure(DAMO_DIGIT, 1)
|
||||
+ pynutil.delete('"')
|
||||
)
|
||||
minute = (
|
||||
pynutil.delete("minutes:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ pynini.closure(DAMO_DIGIT, 1)
|
||||
+ pynutil.delete('"')
|
||||
)
|
||||
suffix = (
|
||||
delete_space
|
||||
+ insert_space
|
||||
+ pynutil.delete("suffix:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ pynini.closure(DAMO_NOT_QUOTE, 1)
|
||||
+ pynutil.delete('"')
|
||||
)
|
||||
optional_suffix = pynini.closure(suffix, 0, 1)
|
||||
|
||||
graph = (
|
||||
optional_prefix
|
||||
+ hour
|
||||
+ delete_space
|
||||
+ pynutil.insert(":")
|
||||
+ (minute @ add_leading_zero_to_double_digit)
|
||||
+ optional_suffix
|
||||
)
|
||||
delete_tokens = self.delete_tokens(graph)
|
||||
self.fst = delete_tokens.optimize()
|
||||
@@ -0,0 +1,48 @@
|
||||
from fun_text_processing.inverse_text_normalization.pt.verbalizers.cardinal import CardinalFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.verbalizers.date import DateFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.verbalizers.decimal import DecimalFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.verbalizers.electronic import ElectronicFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.verbalizers.measure import MeasureFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.verbalizers.money import MoneyFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.verbalizers.ordinal import OrdinalFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.verbalizers.telephone import TelephoneFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.verbalizers.time import TimeFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.verbalizers.whitelist import WhiteListFst
|
||||
from fun_text_processing.text_normalization.en.graph_utils import GraphFst
|
||||
|
||||
|
||||
class VerbalizeFst(GraphFst):
|
||||
"""
|
||||
Composes other verbalizer grammars.
|
||||
For deployment, this grammar will be compiled and exported to OpenFst Finate State Archiv (FAR) File.
|
||||
More details to deployment at NeMo/tools/text_processing_deployment.
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(name="verbalize", kind="verbalize")
|
||||
cardinal = CardinalFst()
|
||||
cardinal_graph = cardinal.fst
|
||||
ordinal_graph = OrdinalFst().fst
|
||||
decimal = DecimalFst()
|
||||
decimal_graph = decimal.fst
|
||||
measure_graph = MeasureFst(decimal=decimal, cardinal=cardinal).fst
|
||||
money_graph = MoneyFst(decimal=decimal).fst
|
||||
time_graph = TimeFst().fst
|
||||
date_graph = DateFst().fst
|
||||
whitelist_graph = WhiteListFst().fst
|
||||
telephone_graph = TelephoneFst().fst
|
||||
electronic_graph = ElectronicFst().fst
|
||||
|
||||
graph = (
|
||||
time_graph
|
||||
| date_graph
|
||||
| money_graph
|
||||
| measure_graph
|
||||
| ordinal_graph
|
||||
| decimal_graph
|
||||
| cardinal_graph
|
||||
| whitelist_graph
|
||||
| telephone_graph
|
||||
| electronic_graph
|
||||
)
|
||||
self.fst = graph
|
||||
@@ -0,0 +1,33 @@
|
||||
import pynini
|
||||
from fun_text_processing.inverse_text_normalization.pt.verbalizers.verbalize import VerbalizeFst
|
||||
from fun_text_processing.inverse_text_normalization.pt.verbalizers.word import WordFst
|
||||
from fun_text_processing.text_normalization.en.graph_utils import (
|
||||
GraphFst,
|
||||
delete_extra_space,
|
||||
delete_space,
|
||||
)
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class VerbalizeFinalFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer that verbalizes an entire sentence, e.g.
|
||||
tokens { name: "its" } tokens { time { hours: "12" minutes: "30" } } tokens { name: "now" } -> its 12:30 now
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(name="verbalize_final", kind="verbalize")
|
||||
verbalize = VerbalizeFst().fst
|
||||
word = WordFst().fst
|
||||
types = verbalize | word
|
||||
graph = (
|
||||
pynutil.delete("tokens")
|
||||
+ delete_space
|
||||
+ pynutil.delete("{")
|
||||
+ delete_space
|
||||
+ types
|
||||
+ delete_space
|
||||
+ pynutil.delete("}")
|
||||
)
|
||||
graph = delete_space + pynini.closure(graph + delete_extra_space) + graph + delete_space
|
||||
self.fst = graph
|
||||
@@ -0,0 +1,27 @@
|
||||
import pynini
|
||||
from fun_text_processing.text_normalization.en.graph_utils import (
|
||||
DAMO_CHAR,
|
||||
DAMO_SIGMA,
|
||||
GraphFst,
|
||||
delete_space,
|
||||
)
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class WhiteListFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for verbalizing whitelist
|
||||
e.g. tokens { name: "sexta feira" } -> "sexta-feira"
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(name="whitelist", kind="verbalize")
|
||||
graph = (
|
||||
pynutil.delete("name:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ pynini.closure(DAMO_CHAR - " ", 1)
|
||||
+ pynutil.delete('"')
|
||||
)
|
||||
graph = graph @ pynini.cdrewrite(pynini.cross("\u00A0", " "), "", "", DAMO_SIGMA)
|
||||
self.fst = graph.optimize()
|
||||
@@ -0,0 +1,29 @@
|
||||
import pynini
|
||||
from fun_text_processing.text_normalization.en.graph_utils import (
|
||||
DAMO_CHAR,
|
||||
DAMO_SIGMA,
|
||||
GraphFst,
|
||||
delete_space,
|
||||
)
|
||||
from pynini.lib import pynutil
|
||||
|
||||
|
||||
class WordFst(GraphFst):
|
||||
"""
|
||||
Finite state transducer for verbalizing plain tokens
|
||||
e.g. tokens { name: "sleep" } -> sleep
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(name="word", kind="verbalize")
|
||||
chars = pynini.closure(DAMO_CHAR - " ", 1)
|
||||
char = (
|
||||
pynutil.delete("name:")
|
||||
+ delete_space
|
||||
+ pynutil.delete('"')
|
||||
+ chars
|
||||
+ pynutil.delete('"')
|
||||
)
|
||||
graph = char @ pynini.cdrewrite(pynini.cross("\u00A0", " "), "", "", DAMO_SIGMA)
|
||||
|
||||
self.fst = graph.optimize()
|
||||
Reference in New Issue
Block a user