import pynini
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from fun_text_processing.inverse_text_normalization.id.graph_utils import (
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DAMO_CHAR,
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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 MeasureFst(GraphFst):
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"""
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Finite state transducer for verbalizing measure, e.g.
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measure { negative: "true" cardinal { integer: "12" } units: "kg" } -> -12 kg
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Args:
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decimal: DecimalFst
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cardinal: CardinalFst
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"""
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def __init__(self, decimal: GraphFst, cardinal: GraphFst):
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super().__init__(name="measure", kind="verbalize")
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optional_sign = pynini.closure(pynini.cross('negative: "true"', "-"), 0, 1)
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unit = (
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pynutil.delete("units:")
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+ delete_space
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+ pynutil.delete('"')
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+ pynini.closure(DAMO_CHAR - " ", 1)
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+ pynutil.delete('"')
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+ delete_space
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)
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graph_decimal = (
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pynutil.delete("decimal {")
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+ delete_space
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+ optional_sign
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+ delete_space
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+ decimal.numbers
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+ delete_space
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+ pynutil.delete("}")
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)
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graph_cardinal = (
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pynutil.delete("cardinal {")
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+ delete_space
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+ optional_sign
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+ delete_space
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+ cardinal.numbers
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+ delete_space
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+ pynutil.delete("}")
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)
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graph = (graph_cardinal | graph_decimal) + delete_space + pynutil.insert(" ") + unit
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delete_tokens = self.delete_tokens(graph)
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self.fst = delete_tokens.optimize()
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