import pynini
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from fun_text_processing.text_normalization.en.graph_utils import (
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DAMO_DIGIT,
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GraphFst,
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convert_space,
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delete_space,
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insert_space,
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)
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from fun_text_processing.text_normalization.en.utils import (
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augment_labels_with_punct_at_end,
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get_abs_path,
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load_labels,
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)
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from pynini.lib import pynutil
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class TimeFst(GraphFst):
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"""
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Finite state transducer for classifying time, e.g.
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12:30 a.m. est -> time { hours: "twelve" minutes: "thirty" suffix: "a m" zone: "e s t" }
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2.30 a.m. -> time { hours: "two" minutes: "thirty" suffix: "a m" }
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02.30 a.m. -> time { hours: "two" minutes: "thirty" suffix: "a m" }
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2.00 a.m. -> time { hours: "two" suffix: "a m" }
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2 a.m. -> time { hours: "two" suffix: "a m" }
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02:00 -> time { hours: "two" }
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2:00 -> time { hours: "two" }
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10:00:05 a.m. -> time { hours: "ten" minutes: "zero" seconds: "five" suffix: "a m" }
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Args:
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cardinal: CardinalFst
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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, cardinal: GraphFst, deterministic: bool = True):
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super().__init__(name="time", kind="classify", deterministic=deterministic)
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suffix_labels = load_labels(get_abs_path("data/time/suffix.tsv"))
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suffix_labels.extend(augment_labels_with_punct_at_end(suffix_labels))
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suffix_graph = pynini.string_map(suffix_labels)
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time_zone_graph = pynini.string_file(get_abs_path("data/time/zone.tsv"))
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# only used for < 1000 thousand -> 0 weight
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cardinal = cardinal.graph
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labels_hour = [str(x) for x in range(0, 24)]
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labels_minute_single = [str(x) for x in range(1, 10)]
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labels_minute_double = [str(x) for x in range(10, 60)]
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delete_leading_zero_to_double_digit = (DAMO_DIGIT + DAMO_DIGIT) | (
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pynini.closure(pynutil.delete("0"), 0, 1) + DAMO_DIGIT
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)
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graph_hour = delete_leading_zero_to_double_digit @ pynini.union(*labels_hour) @ cardinal
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graph_minute_single = pynini.union(*labels_minute_single) @ cardinal
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graph_minute_double = pynini.union(*labels_minute_double) @ cardinal
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final_graph_hour = pynutil.insert('hours: "') + graph_hour + pynutil.insert('"')
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final_graph_minute = (
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pynutil.insert('minutes: "')
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+ (pynini.cross("0", "o") + insert_space + graph_minute_single | graph_minute_double)
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+ pynutil.insert('"')
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)
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final_graph_second = (
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pynutil.insert('seconds: "')
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+ (pynini.cross("0", "o") + insert_space + graph_minute_single | graph_minute_double)
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+ pynutil.insert('"')
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)
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final_suffix = (
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pynutil.insert('suffix: "') + convert_space(suffix_graph) + pynutil.insert('"')
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)
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final_suffix_optional = pynini.closure(delete_space + insert_space + final_suffix, 0, 1)
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final_time_zone_optional = pynini.closure(
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delete_space
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+ insert_space
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+ pynutil.insert('zone: "')
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+ convert_space(time_zone_graph)
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+ pynutil.insert('"'),
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0,
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1,
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)
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# 2:30 pm, 02:30, 2:00
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graph_hm = (
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final_graph_hour
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+ pynutil.delete(":")
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+ (pynutil.delete("00") | insert_space + final_graph_minute)
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+ final_suffix_optional
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+ final_time_zone_optional
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)
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# 10:30:05 pm,
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graph_hms = (
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final_graph_hour
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+ pynutil.delete(":")
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+ (pynini.cross("00", ' minutes: "zero"') | insert_space + final_graph_minute)
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+ pynutil.delete(":")
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+ (pynini.cross("00", ' seconds: "zero"') | insert_space + final_graph_second)
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+ final_suffix_optional
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+ final_time_zone_optional
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)
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# 2.xx pm/am
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graph_hm2 = (
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final_graph_hour
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+ pynutil.delete(".")
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+ (pynutil.delete("00") | insert_space + final_graph_minute)
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+ delete_space
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+ insert_space
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+ final_suffix
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+ final_time_zone_optional
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)
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# 2 pm est
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graph_h = (
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final_graph_hour + delete_space + insert_space + final_suffix + final_time_zone_optional
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)
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final_graph = (graph_hm | graph_h | graph_hm2 | graph_hms).optimize()
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final_graph = self.add_tokens(final_graph)
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self.fst = final_graph.optimize()
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