from fun_text_processing.inverse_text_normalization.en.verbalizers.whitelist import WhiteListFst from fun_text_processing.inverse_text_normalization.ru.verbalizers.cardinal import CardinalFst from fun_text_processing.inverse_text_normalization.ru.verbalizers.date import DateFst from fun_text_processing.inverse_text_normalization.ru.verbalizers.decimal import DecimalFst from fun_text_processing.inverse_text_normalization.ru.verbalizers.electronic import ElectronicFst from fun_text_processing.inverse_text_normalization.ru.verbalizers.measure import MeasureFst from fun_text_processing.inverse_text_normalization.ru.verbalizers.money import MoneyFst from fun_text_processing.inverse_text_normalization.ru.verbalizers.ordinal import OrdinalFst from fun_text_processing.inverse_text_normalization.ru.verbalizers.telephone import TelephoneFst from fun_text_processing.inverse_text_normalization.ru.verbalizers.time import TimeFst 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 = OrdinalFst() ordinal_graph = ordinal.fst decimal = DecimalFst() decimal_graph = decimal.fst whitelist_graph = WhiteListFst().fst electronic_graph = ElectronicFst().fst money_graph = MoneyFst().fst date_graph = DateFst().fst measure_graph = MeasureFst().fst telephone_graph = TelephoneFst().fst time_graph = TimeFst().fst graph = ( whitelist_graph | cardinal_graph | ordinal_graph | decimal_graph | electronic_graph | date_graph | money_graph | measure_graph | telephone_graph | time_graph ) self.fst = graph