from fun_text_processing.inverse_text_normalization.id.verbalizers.cardinal import CardinalFst from fun_text_processing.inverse_text_normalization.id.verbalizers.date import DateFst from fun_text_processing.inverse_text_normalization.id.verbalizers.decimal import DecimalFst from fun_text_processing.inverse_text_normalization.id.verbalizers.electronic import ElectronicFst from fun_text_processing.inverse_text_normalization.id.verbalizers.measure import MeasureFst from fun_text_processing.inverse_text_normalization.id.verbalizers.money import MoneyFst from fun_text_processing.inverse_text_normalization.id.verbalizers.ordinal import OrdinalFst from fun_text_processing.inverse_text_normalization.id.verbalizers.telephone import TelephoneFst from fun_text_processing.inverse_text_normalization.id.verbalizers.time import TimeFst from fun_text_processing.inverse_text_normalization.id.verbalizers.whitelist import WhiteListFst from fun_text_processing.inverse_text_normalization.id.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