from fun_text_processing.inverse_text_normalization.de.verbalizers.cardinal import CardinalFst
|
from fun_text_processing.inverse_text_normalization.de.verbalizers.decimal import DecimalFst
|
from fun_text_processing.inverse_text_normalization.de.verbalizers.measure import MeasureFst
|
from fun_text_processing.inverse_text_normalization.de.verbalizers.money import MoneyFst
|
from fun_text_processing.inverse_text_normalization.de.verbalizers.time import TimeFst
|
from fun_text_processing.text_normalization.de.verbalizers.cardinal import (
|
CardinalFst as TNCardinalVerbalizer,
|
)
|
from fun_text_processing.text_normalization.de.verbalizers.decimal import (
|
DecimalFst as TNDecimalVerbalizer,
|
)
|
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, deterministic: bool = True):
|
super().__init__(name="verbalize", kind="verbalize", deterministic=deterministic)
|
tn_cardinal_verbalizer = TNCardinalVerbalizer(deterministic=False)
|
tn_decimal_verbalizer = TNDecimalVerbalizer(deterministic=False)
|
|
cardinal = CardinalFst(tn_cardinal_verbalizer=tn_cardinal_verbalizer)
|
cardinal_graph = cardinal.fst
|
decimal = DecimalFst(tn_decimal_verbalizer=tn_decimal_verbalizer)
|
decimal_graph = decimal.fst
|
measure_graph = MeasureFst(decimal=decimal, cardinal=cardinal).fst
|
money_graph = MoneyFst(decimal=decimal).fst
|
time_graph = TimeFst().fst
|
graph = time_graph | money_graph | measure_graph | decimal_graph | cardinal_graph
|
self.fst = graph
|
