import pynini
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from fun_text_processing.inverse_text_normalization.fr.graph_utils import (
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DAMO_DIGIT,
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DAMO_NOT_QUOTE,
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GraphFst,
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delete_space,
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)
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from fun_text_processing.inverse_text_normalization.fr.utils import get_abs_path
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from pynini.lib import pynutil
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class OrdinalFst(GraphFst):
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"""
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Finite state transducer for verbalizing ordinal, e.g.
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ordinal { integer: "13" morphosyntactic_features: "e" } -> 13ᵉ
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Given 'special' terms for ordinals (e.g. siècle), renders
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amount in conventional format. e.g.
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ordinal { integer: "13" morphosyntactic_features: "e/siècle" } -> XIIIᵉ
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"""
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def __init__(self):
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super().__init__(name="ordinal", kind="verbalize")
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graph_integer = (
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pynutil.delete("integer:")
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+ delete_space
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+ pynutil.delete('"')
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+ pynini.closure(DAMO_NOT_QUOTE, 1)
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+ pynutil.delete('"')
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)
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replace_suffix = pynini.union(
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pynini.cross("e", "ᵉ"), # only delete first quote since there may be more features
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pynini.cross("d", "ᵈ"),
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pynini.cross("r", "ʳ"),
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pynini.cross("s", "ˢ"),
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)
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replace_suffix = pynutil.delete(' morphosyntactic_features: "') + replace_suffix.plus
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graph_arabic = graph_integer + replace_suffix.plus
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# For roman.
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graph_roman_digits = pynini.string_file(
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get_abs_path("data/roman/digits_large.tsv")
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).invert()
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graph_roman_ties = pynini.string_file(get_abs_path("data/roman/ties_large.tsv")).invert()
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graph_roman_hundreds = pynini.string_file(
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get_abs_path("data/roman/hundreds_large.tsv")
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).invert()
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graph_roman_zero_digit = pynutil.delete("0")
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graph_roman_hundreds = DAMO_DIGIT**3 @ (
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graph_roman_hundreds
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+ pynini.union(graph_roman_ties, graph_roman_zero_digit)
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+ pynini.union(graph_roman_digits, graph_roman_zero_digit)
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)
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graph_roman_ties = DAMO_DIGIT**2 @ (
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graph_roman_ties + pynini.union(graph_roman_digits, graph_roman_zero_digit)
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)
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graph_roman_digits = DAMO_DIGIT @ graph_roman_digits
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graph_roman_integers = graph_roman_hundreds | graph_roman_ties | graph_roman_digits
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graph_roman = (graph_integer @ graph_roman_integers) + replace_suffix
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graph_roman += pynini.cross("/", " ") + "siècle"
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graph = (graph_roman | graph_arabic) + pynutil.delete('"')
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delete_tokens = self.delete_tokens(graph)
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self.fst = delete_tokens.optimize()
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