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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|
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class TimeFst(GraphFst):
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"""
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Finite state transducer for verbalizing electronic
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e.g. time { hours: "два часа пятнадцать минут" } -> "два часа пятнадцать минут"
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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="time", kind="verbalize", deterministic=deterministic)
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hour = (
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pynutil.delete("hours:")
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+ delete_space
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+ pynutil.delete('"')
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+ pynini.closure(DAMO_NOT_QUOTE, 1)
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+ pynutil.delete('"')
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)
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minutes = (
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pynutil.delete("minutes:")
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+ delete_space
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+ pynutil.delete('"')
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+ pynini.closure(DAMO_NOT_QUOTE, 1)
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+ pynutil.delete('"')
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)
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self.graph = (
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hour
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+ delete_space
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+ insert_space
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+ minutes
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+ delete_space
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+ pynutil.delete("preserve_order: true")
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)
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self.graph |= hour + delete_space
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self.graph |= minutes + delete_space + insert_space + hour + delete_space
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delete_tokens = self.delete_tokens(self.graph)
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self.fst = delete_tokens.optimize()
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