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- import pynini
- from fun_text_processing.text_normalization.en.graph_utils import DAMO_NOT_QUOTE, GraphFst
- from fun_text_processing.text_normalization.es.graph_utils import (
- add_cardinal_apocope_fem,
- shift_cardinal_gender,
- strip_cardinal_apocope,
- )
- from pynini.lib import pynutil
- class CardinalFst(GraphFst):
- """
- Finite state transducer for verbalizing cardinals
- e.g. cardinal { integer: "dos" } -> "dos"
- Args:
- deterministic: if True will provide a single transduction option,
- for False multiple transduction are generated (used for audio-based normalization)
- """
- def __init__(self, deterministic: bool = True):
- super().__init__(name="cardinal", kind="verbalize", deterministic=deterministic)
- optional_sign = pynini.closure(pynini.cross("negative: \"true\" ", "menos "), 0, 1)
- self.optional_sign = optional_sign
- integer = pynini.closure(DAMO_NOT_QUOTE, 1)
- self.integer = pynutil.delete(" \"") + integer + pynutil.delete("\"")
- integer = pynutil.delete("integer:") + self.integer
- graph_masc = optional_sign + integer
- graph_fem = shift_cardinal_gender(graph_masc)
- self.graph_masc = pynini.optimize(graph_masc)
- self.graph_fem = pynini.optimize(graph_fem)
- # Adding adjustment for fem gender (choice of gender will be random)
- graph = graph_masc | graph_fem
- if not deterministic:
- # For alternate renderings when apocope is omitted (i.e. cardinal stands alone)
- graph |= strip_cardinal_apocope(graph_masc)
- # "una" will drop to "un" in unique contexts
- graph |= add_cardinal_apocope_fem(graph_fem)
- delete_tokens = self.delete_tokens(graph)
- self.fst = delete_tokens.optimize()
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