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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)
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from pynini.lib import pynutil
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|
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class DecimalFst(GraphFst):
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"""
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Finite state transducer for verbalizing decimal, e.g.
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tokens { decimal { integer_part: "одно целая" fractional_part: "восемь сотых} } ->
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"одно целая восемь сотых"
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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="decimal", kind="verbalize", deterministic=deterministic)
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optional_sign = pynini.closure(pynini.cross('negative: "true" ', "минус "), 0, 1)
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integer = pynutil.delete(' "') + pynini.closure(DAMO_NOT_QUOTE, 1) + pynutil.delete('"')
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integer_part = pynutil.delete("integer_part:") + integer
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fractional_part = pynutil.delete("fractional_part:") + integer
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optional_quantity_part = pynini.closure(
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pynini.accep(" ")
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+ pynutil.delete('quantity: "')
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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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self.graph = (
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optional_sign
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+ integer_part
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+ pynini.accep(" ")
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+ fractional_part
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+ optional_quantity_part
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+ delete_space
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)
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delete_tokens = self.delete_tokens(self.graph)
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self.fst = delete_tokens.optimize()
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