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import pynini
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from fun_text_processing.text_normalization.de.utils import get_abs_path, load_labels
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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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DAMO_SIGMA,
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GraphFst,
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delete_preserve_order,
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)
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from pynini.lib import pynutil
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class DateFst(GraphFst):
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"""
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Finite state transducer for verbalizing date, e.g.
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date { day: "vier" month: "april" year: "zwei tausend zwei" } -> "vierter april zwei tausend zwei"
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date { day: "vier" month: "mai" year: "zwei tausend zwei" } -> "vierter mai zwei tausend zwei"
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Args:
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ordinal: ordinal verbalizer GraphFst
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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, ordinal: GraphFst, deterministic: bool = True):
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super().__init__(name="date", kind="verbalize", deterministic=deterministic)
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day_cardinal = pynutil.delete("day: \"") + pynini.closure(DAMO_NOT_QUOTE, 1) + pynutil.delete("\"")
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day = day_cardinal @ pynini.cdrewrite(ordinal.ordinal_stem, "", "[EOS]", DAMO_SIGMA) + pynutil.insert("ter")
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months_names = pynini.union(*[x[1] for x in load_labels(get_abs_path("data/months/abbr_to_name.tsv"))])
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month = pynutil.delete("month: \"") + pynini.closure(DAMO_NOT_QUOTE, 1) + pynutil.delete("\"")
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final_month = month @ months_names
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final_month |= month @ pynini.difference(DAMO_SIGMA, months_names) @ pynini.cdrewrite(
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ordinal.ordinal_stem, "", "[EOS]", DAMO_SIGMA
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) + pynutil.insert("ter")
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year = pynutil.delete("year: \"") + pynini.closure(DAMO_NOT_QUOTE, 1) + pynutil.delete("\"")
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# day month year
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graph_dmy = day + pynini.accep(" ") + final_month + pynini.closure(pynini.accep(" ") + year, 0, 1)
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graph_dmy |= final_month + pynini.accep(" ") + year
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self.graph = graph_dmy | year
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final_graph = self.graph + delete_preserve_order
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delete_tokens = self.delete_tokens(final_graph)
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self.fst = delete_tokens.optimize()
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