FunASR/fun_text_processing/text_normalization/ru/verbalizers/time.py

52 lines
1.5 KiB
Python

import pynini
from fun_text_processing.text_normalization.en.graph_utils import (
DAMO_NOT_QUOTE,
GraphFst,
delete_space,
insert_space,
)
from pynini.lib import pynutil
class TimeFst(GraphFst):
"""
Finite state transducer for verbalizing electronic
e.g. time { hours: "два часа пятнадцать минут" } -> "два часа пятнадцать минут"
Args:
deterministic: if True will provide a single transduction option,
for False multiple transduction are generated (used for audio-based normalization)
"""
def __init__(self, deterministic: bool = True):
super().__init__(name="time", kind="verbalize", deterministic=deterministic)
hour = (
pynutil.delete("hours:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_NOT_QUOTE, 1)
+ pynutil.delete('"')
)
minutes = (
pynutil.delete("minutes:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_NOT_QUOTE, 1)
+ pynutil.delete('"')
)
self.graph = (
hour
+ delete_space
+ insert_space
+ minutes
+ delete_space
+ pynutil.delete("preserve_order: true")
)
self.graph |= hour + delete_space
self.graph |= minutes + delete_space + insert_space + hour + delete_space
delete_tokens = self.delete_tokens(self.graph)
self.fst = delete_tokens.optimize()