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