FunASR/fun_text_processing/text_normalization/en/verbalizers/roman.py

57 lines
1.9 KiB
Python
Raw Normal View History

2024-05-18 15:50:56 +08:00
import pynini
from fun_text_processing.text_normalization.en.graph_utils import DAMO_NOT_QUOTE, GraphFst
from fun_text_processing.text_normalization.en.verbalizers.ordinal import OrdinalFst
from pynini.lib import pynutil
class RomanFst(GraphFst):
"""
Finite state transducer for verbalizing roman numerals
e.g. tokens { roman { integer: "one" } } -> one
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="roman", kind="verbalize", deterministic=deterministic)
suffix = OrdinalFst().suffix
cardinal = pynini.closure(DAMO_NOT_QUOTE)
ordinal = pynini.compose(cardinal, suffix)
graph = (
pynutil.delete('key_cardinal: "')
+ pynini.closure(DAMO_NOT_QUOTE, 1)
+ pynutil.delete('"')
+ pynini.accep(" ")
+ pynutil.delete('integer: "')
+ cardinal
+ pynutil.delete('"')
).optimize()
graph |= (
pynutil.delete('default_cardinal: "default" integer: "')
+ cardinal
+ pynutil.delete('"')
).optimize()
graph |= (
pynutil.delete('default_ordinal: "default" integer: "') + ordinal + pynutil.delete('"')
).optimize()
graph |= (
pynutil.delete('key_the_ordinal: "')
+ pynini.closure(DAMO_NOT_QUOTE, 1)
+ pynutil.delete('"')
+ pynini.accep(" ")
+ pynutil.delete('integer: "')
+ pynini.closure(pynutil.insert("the "), 0, 1)
+ ordinal
+ pynutil.delete('"')
).optimize()
delete_tokens = self.delete_tokens(graph)
self.fst = delete_tokens.optimize()