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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GraphFst,
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)
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from fun_text_processing.text_normalization.es.graph_utils import shift_number_gender
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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 ordinals
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e.g. ordinal { integer: "tercer" } } -> "tercero"
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-> "tercera"
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-> "tercer"
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Args:
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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__(self, deterministic: bool = True):
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super().__init__(name="ordinal", kind="verbalize", deterministic=deterministic)
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graph = (
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pynutil.delete('integer: "') + pynini.closure(DAMO_NOT_QUOTE, 1) + pynutil.delete('"')
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)
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# masculne gender we leave as is
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graph_masc = graph + pynutil.delete(' morphosyntactic_features: "gender_masc')
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# shift gender
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graph_fem_ending = graph @ pynini.cdrewrite(
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pynini.cross("o", "a"), "", DAMO_SPACE | pynini.accep("[EOS]"), DAMO_SIGMA
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)
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graph_fem = shift_number_gender(graph_fem_ending) + pynutil.delete(
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' morphosyntactic_features: "gender_fem'
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)
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# Apocope just changes tercero and primero. May occur if someone wrote 11.er (uncommon)
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graph_apocope = (
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pynini.cross("tercero", "tercer")
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| pynini.cross("primero", "primer")
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| pynini.cross("undécimo", "decimoprimer")
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) # In case someone wrote 11.er with deterministic
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graph_apocope = (
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graph @ pynini.cdrewrite(graph_apocope, "", "", DAMO_SIGMA)
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) + pynutil.delete(' morphosyntactic_features: "apocope')
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graph = graph_apocope | graph_masc | graph_fem
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if not deterministic:
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# Plural graph
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graph_plural = pynini.cdrewrite(
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pynutil.insert("s"),
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pynini.union("o", "a"),
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DAMO_SPACE | pynini.accep("[EOS]"),
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DAMO_SIGMA,
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)
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graph |= (graph @ graph_plural) + pynutil.delete("/plural")
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self.graph = graph + pynutil.delete('"')
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delete_tokens = self.delete_tokens(self.graph)
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self.fst = delete_tokens.optimize()
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