# Copyright NeMo (https://github.com/NVIDIA/NeMo). All Rights Reserved. # # 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.text_normalization.en.graph_utils import GraphFst from fun_text_processing.text_normalization.ru.alphabet import RU_ALPHA from pynini.lib import pynutil class DateFst(GraphFst): """ Finite state transducer for verbalizing date, e.g. tokens { date { day: "первое мая" } } -> "первое мая" 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="date", kind="verbalize", deterministic=deterministic) graph = pynutil.delete("day: \"") + pynini.closure(RU_ALPHA | " ", 1) + pynutil.delete("\"") delete_tokens = self.delete_tokens(graph) self.fst = delete_tokens.optimize()