|
|
import pynini
|
from fun_text_processing.text_normalization.en.graph_utils import DAMO_NOT_QUOTE, GraphFst, delete_space
|
from pynini.lib import pynutil
|
|
|
class DecimalFst(GraphFst):
|
"""
|
Finite state transducer for verbalizing decimal, e.g.
|
tokens { decimal { integer_part: "одно целая" fractional_part: "восемь сотых} } ->
|
"одно целая восемь сотых"
|
|
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="decimal", kind="verbalize", deterministic=deterministic)
|
|
optional_sign = pynini.closure(pynini.cross("negative: \"true\" ", "минус "), 0, 1)
|
integer = pynutil.delete(" \"") + pynini.closure(DAMO_NOT_QUOTE, 1) + pynutil.delete("\"")
|
integer_part = pynutil.delete("integer_part:") + integer
|
fractional_part = pynutil.delete("fractional_part:") + integer
|
optional_quantity_part = pynini.closure(
|
pynini.accep(" ")
|
+ pynutil.delete("quantity: \"")
|
+ pynini.closure(DAMO_NOT_QUOTE, 1)
|
+ pynutil.delete("\""),
|
0,
|
1,
|
)
|
|
self.graph = (
|
optional_sign + integer_part + pynini.accep(" ") + fractional_part + optional_quantity_part + delete_space
|
)
|
delete_tokens = self.delete_tokens(self.graph)
|
self.fst = delete_tokens.optimize()
|
