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- import pynini
- from fun_text_processing.inverse_text_normalization.fr.graph_utils import DAMO_NOT_QUOTE, GraphFst, delete_space
- from pynini.lib import pynutil
- class ElectronicFst(GraphFst):
- """
- Finite state transducer for verbalizing electronic
- e.g. tokens { electronic { username: "cdf1" domain: "abc.edu" } } -> cdf1@abc.edu
- """
- def __init__(self):
- super().__init__(name="electronic", kind="verbalize")
- user_name = (
- pynutil.delete("username:")
- + delete_space
- + pynutil.delete("\"")
- + pynini.closure(DAMO_NOT_QUOTE, 1)
- + pynutil.delete("\"")
- )
- domain = (
- pynutil.delete("domain:")
- + delete_space
- + pynutil.delete("\"")
- + pynini.closure(DAMO_NOT_QUOTE, 1)
- + pynutil.delete("\"")
- )
- graph = user_name + delete_space + pynutil.insert("@") + domain
- delete_tokens = self.delete_tokens(graph)
- self.fst = delete_tokens.optimize()
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