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