55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
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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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GraphFst,
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delete_space,
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insert_space,
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)
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from pynini.lib import pynutil
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class TelephoneFst(GraphFst):
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"""
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Finite state transducer for verbalizing telephone numbers, e.g.
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telephone { country_code: "one" number_part: "one two three, one two three, five six seven eight" extension: "one" }
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-> one, one two three, one two three, five six seven eight, one
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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="telephone", kind="verbalize", deterministic=deterministic)
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optional_country_code = pynini.closure(
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pynutil.delete('country_code: "')
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+ pynini.closure(DAMO_NOT_QUOTE, 1)
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+ pynutil.delete('"')
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+ delete_space
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+ insert_space,
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0,
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1,
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)
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number_part = (
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pynutil.delete('number_part: "')
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+ pynini.closure(DAMO_NOT_QUOTE, 1)
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+ pynini.closure(pynutil.add_weight(pynutil.delete(" "), -0.0001), 0, 1)
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+ pynutil.delete('"')
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)
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optional_extension = pynini.closure(
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delete_space
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+ insert_space
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+ pynutil.delete('extension: "')
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+ pynini.closure(DAMO_NOT_QUOTE, 1)
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+ pynutil.delete('"'),
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0,
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1,
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)
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graph = optional_country_code + number_part + optional_extension
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delete_tokens = self.delete_tokens(graph)
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self.fst = delete_tokens.optimize()
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