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import pynini
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from fun_text_processing.text_normalization.en.graph_utils import GraphFst
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from fun_text_processing.text_normalization.ru.alphabet import RU_ALPHA
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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, e.g.
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telephone { number_part: "восемь девятьсот тринадцать девятьсот восемьдесят три пятьдесят шесть ноль один" } -> "восемь девятьсот тринадцать девятьсот восемьдесят три пятьдесят шесть ноль один"
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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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graph = pynutil.delete("number_part: \"") + pynini.closure(RU_ALPHA | " ", 1) + 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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