仁迷
2022-12-29 da98950b422bd14d2c9357a878c19268b196b9c0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
 
import pynini
from fun_text_processing.inverse_text_normalization.ko.graph_utils import DAMO_NOT_QUOTE, DAMO_SIGMA, GraphFst, delete_space
from pynini.lib import pynutil
 
 
class OrdinalFst(GraphFst):
    """
    Finite state transducer for verbalizing ordinal, e.g.
       ordinal { integer: "13" } -> 13th
    """
 
    def __init__(self):
        super().__init__(name="ordinal", kind="verbalize")
        graph = (
            pynutil.delete("integer:")
            + delete_space
            + pynutil.delete("\"")
            + pynini.closure(DAMO_NOT_QUOTE, 1)
            + pynutil.delete("\"")
        )
        convert_eleven = pynini.cross("11", "11th")
        convert_twelve = pynini.cross("12", "12th")
        convert_thirteen = pynini.cross("13", "13th")
        convert_one = pynini.cross("1", "1st")
        convert_two = pynini.cross("2", "2nd")
        convert_three = pynini.cross("3", "3rd")
        convert_rest = pynutil.insert("th", weight=0.01)
 
        suffix = pynini.cdrewrite(
            convert_eleven
            | convert_twelve
            | convert_thirteen
            | convert_one
            | convert_two
            | convert_three
            | convert_rest,
            "",
            "[EOS]",
            DAMO_SIGMA,
        )
        graph = graph @ suffix
        delete_tokens = self.delete_tokens(graph)
        self.fst = delete_tokens.optimize()