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 CardinalFst(GraphFst):
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"""
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Finite state transducer for verbalizing roman numerals
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e.g. cardinal { integer: "1 001" } -> 1 001
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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="cardinal", kind="verbalize", deterministic=deterministic)
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optional_sign = pynini.closure(
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pynutil.delete("negative:")
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+ delete_space
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+ pynutil.delete('"')
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+ DAMO_NOT_QUOTE
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+ pynutil.delete('"')
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+ delete_space,
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0,
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1,
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)
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graph = (
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optional_sign
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+ pynutil.delete('integer: "')
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+ pynini.closure(DAMO_NOT_QUOTE, 1)
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+ pynutil.delete('"')
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)
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delete_tokens = self.delete_tokens(graph)
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self.fst = delete_tokens.optimize()
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