56 lines
2.2 KiB
Python
56 lines
2.2 KiB
Python
import pynini
|
|
from fun_text_processing.text_normalization.de.utils import get_abs_path, load_labels
|
|
from fun_text_processing.text_normalization.en.graph_utils import (
|
|
DAMO_NOT_QUOTE,
|
|
DAMO_SIGMA,
|
|
GraphFst,
|
|
delete_preserve_order,
|
|
)
|
|
from pynini.lib import pynutil
|
|
|
|
|
|
class DateFst(GraphFst):
|
|
"""
|
|
Finite state transducer for verbalizing date, e.g.
|
|
date { day: "vier" month: "april" year: "zwei tausend zwei" } -> "vierter april zwei tausend zwei"
|
|
date { day: "vier" month: "mai" year: "zwei tausend zwei" } -> "vierter mai zwei tausend zwei"
|
|
|
|
Args:
|
|
ordinal: ordinal verbalizer GraphFst
|
|
deterministic: if True will provide a single transduction option,
|
|
for False multiple transduction are generated (used for audio-based normalization)
|
|
"""
|
|
|
|
def __init__(self, ordinal: GraphFst, deterministic: bool = True):
|
|
super().__init__(name="date", kind="verbalize", deterministic=deterministic)
|
|
|
|
day_cardinal = (
|
|
pynutil.delete('day: "') + pynini.closure(DAMO_NOT_QUOTE, 1) + pynutil.delete('"')
|
|
)
|
|
day = day_cardinal @ pynini.cdrewrite(
|
|
ordinal.ordinal_stem, "", "[EOS]", DAMO_SIGMA
|
|
) + pynutil.insert("ter")
|
|
|
|
months_names = pynini.union(
|
|
*[x[1] for x in load_labels(get_abs_path("data/months/abbr_to_name.tsv"))]
|
|
)
|
|
month = pynutil.delete('month: "') + pynini.closure(DAMO_NOT_QUOTE, 1) + pynutil.delete('"')
|
|
final_month = month @ months_names
|
|
final_month |= month @ pynini.difference(DAMO_SIGMA, months_names) @ pynini.cdrewrite(
|
|
ordinal.ordinal_stem, "", "[EOS]", DAMO_SIGMA
|
|
) + pynutil.insert("ter")
|
|
|
|
year = pynutil.delete('year: "') + pynini.closure(DAMO_NOT_QUOTE, 1) + pynutil.delete('"')
|
|
|
|
# day month year
|
|
graph_dmy = (
|
|
day + pynini.accep(" ") + final_month + pynini.closure(pynini.accep(" ") + year, 0, 1)
|
|
)
|
|
graph_dmy |= final_month + pynini.accep(" ") + year
|
|
|
|
self.graph = graph_dmy | year
|
|
final_graph = self.graph + delete_preserve_order
|
|
|
|
delete_tokens = self.delete_tokens(final_graph)
|
|
self.fst = delete_tokens.optimize()
|