import pynini from fun_text_processing.text_normalization.en.graph_utils import ( DAMO_NOT_QUOTE, DAMO_SIGMA, DAMO_SPACE, DAMO_WHITE_SPACE, GraphFst, delete_extra_space, delete_preserve_order, ) from fun_text_processing.text_normalization.es.graph_utils import ones from fun_text_processing.text_normalization.es.utils import get_abs_path from pynini.lib import pynutil unit_plural_fem = pynini.string_file(get_abs_path("data/measures/measurements_plural_fem.tsv")) unit_plural_masc = pynini.string_file(get_abs_path("data/measures/measurements_plural_masc.tsv")) unit_singular_fem = pynini.project(unit_plural_fem, "input") unit_singular_masc = pynini.project(unit_plural_masc, "input") unit_plural_fem = pynini.project(unit_plural_fem, "output") unit_plural_masc = pynini.project(unit_plural_masc, "output") class MeasureFst(GraphFst): """ Finite state transducer for verbalizing measure, e.g. measure { cardinal { integer: "dos" units: "gramos" } } -> "dos gramos" measure { decimal { integer_part: "dos" quantity: "millones" units: "gramos" } } -> "dos millones de gramos" Args: decimal: DecimalFst cardinal: CardinalFst fraction: FractionFst deterministic: if True will provide a single transduction option, for False multiple transduction are generated (used for audio-based normalization) """ def __init__( self, decimal: GraphFst, cardinal: GraphFst, fraction: GraphFst, deterministic: bool ): super().__init__(name="measure", kind="verbalize", deterministic=deterministic) graph_decimal_masc = decimal.delete_tokens(decimal.graph_masc) graph_decimal_fem = decimal.delete_tokens(decimal.graph_fem) graph_cardinal_masc = cardinal.delete_tokens(cardinal.graph_masc) graph_cardinal_fem = cardinal.delete_tokens(cardinal.graph_fem) graph_fraction_fem = fraction.delete_tokens(fraction.graph_fem) graph_fraction_masc = fraction.delete_tokens(fraction.graph_masc) unit_masc = (unit_plural_masc | unit_singular_masc) + pynini.closure( DAMO_WHITE_SPACE + "por" + pynini.closure(DAMO_NOT_QUOTE, 1), 0, 1 ) unit_masc |= "por" + pynini.closure(DAMO_NOT_QUOTE, 1) unit_masc = ( pynutil.delete('units: "') + (pynini.closure(DAMO_NOT_QUOTE) @ unit_masc) + pynutil.delete('"') ) unit_fem = (unit_plural_fem | unit_singular_fem) + pynini.closure( DAMO_WHITE_SPACE + "por" + pynini.closure(DAMO_NOT_QUOTE, 1), 0, 1 ) unit_fem = ( pynutil.delete('units: "') + (pynini.closure(DAMO_NOT_QUOTE) @ unit_fem) + pynutil.delete('"') ) graph_masc = (graph_cardinal_masc | graph_decimal_masc) + DAMO_WHITE_SPACE + unit_masc graph_masc |= graph_fraction_masc + DAMO_WHITE_SPACE + pynutil.insert("de ") + unit_masc graph_masc |= pynutil.add_weight( graph_fraction_masc @ (DAMO_SIGMA + pynini.union("medio", "medios")) + DAMO_WHITE_SPACE + unit_masc, -0.001, ) # "medio litro" not "medio de litro" graph_fem = (graph_cardinal_fem | graph_decimal_fem) + DAMO_WHITE_SPACE + unit_fem graph_fem |= graph_fraction_fem + DAMO_WHITE_SPACE + pynutil.insert("de ") + unit_fem graph_fem |= pynutil.add_weight( graph_fraction_fem @ (DAMO_SIGMA + pynini.union("media", "medias")) + DAMO_WHITE_SPACE + unit_fem, -0.001, ) graph = graph_masc | graph_fem graph = ( pynini.cdrewrite( pynutil.insert(" de"), 'quantity: "' + pynini.closure(DAMO_NOT_QUOTE, 1), '"', DAMO_SIGMA, ) @ graph ) # billones de xyz graph @= pynini.cdrewrite( pynini.cross(ones, "uno"), "", DAMO_WHITE_SPACE + "por", DAMO_SIGMA ) # To manage alphanumeric combonations ("a-8, 5x"), we let them use a weighted default path. alpha_num_unit = ( pynutil.delete('units: "') + pynini.closure(DAMO_NOT_QUOTE) + pynutil.delete('"') ) graph_alpha_num = pynini.union( (graph_cardinal_masc | graph_decimal_masc) + DAMO_SPACE + alpha_num_unit, alpha_num_unit + delete_extra_space + (graph_cardinal_masc | graph_decimal_masc), ) graph |= pynutil.add_weight(graph_alpha_num, 0.01) graph += delete_preserve_order delete_tokens = self.delete_tokens(graph) self.fst = delete_tokens.optimize()