# 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 DAMO_NOT_QUOTE, GraphFst from pynini.lib import pynutil class CardinalFst(GraphFst): """ Finite state transducer for verbalizing cardinals e.g. cardinal { integer: "тысяча один" } -> "тысяча один" 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="cardinal", kind="verbalize", deterministic=deterministic) optional_sign = pynini.closure(pynini.cross("negative: \"true\" ", "минус "), 0, 1) optional_quantity_part = pynini.closure( pynini.accep(" ") + pynutil.delete("quantity: \"") + pynini.closure(DAMO_NOT_QUOTE, 1) + pynutil.delete("\""), 0, 1, ) integer = pynutil.delete("integer: \"") + pynini.closure(DAMO_NOT_QUOTE, 1) + pynutil.delete("\"") self.graph = optional_sign + integer + optional_quantity_part delete_tokens = self.delete_tokens(self.graph) self.fst = delete_tokens.optimize()