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import pynini
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from fun_text_processing.inverse_text_normalization.ko.graph_utils import DAMO_NOT_QUOTE, GraphFst, delete_space
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from pynini.lib import pynutil
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class ElectronicFst(GraphFst):
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"""
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Finite state transducer for verbalizing electronic
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e.g. tokens { electronic { username: "cdf1" domain: "abc.edu" } } -> cdf1@abc.edu
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"""
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def __init__(self):
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super().__init__(name="electronic", kind="verbalize")
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user_name = (
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pynutil.delete("username:")
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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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domain = (
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pynutil.delete("domain:")
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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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protocol = (
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pynutil.delete("protocol:")
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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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graph = user_name + delete_space + pynutil.insert("@") + domain
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graph |= protocol
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delete_tokens = self.delete_tokens(graph)
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self.fst = delete_tokens.optimize()
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