# 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_DIGIT, DAMO_NOT_QUOTE, GraphFst, delete_space, insert_space, ) from pynini.lib import pynutil class TimeFst(GraphFst): """ Finite state transducer for verbalizing time, e.g. time { hours: "à 1" minutes: "10" } -> à 1:10 e.g. time { hours: "às 2" minutes: "45" } -> às 2:45 """ def __init__(self): super().__init__(name="time", kind="verbalize") add_leading_zero_to_double_digit = (DAMO_DIGIT + DAMO_DIGIT) | (pynutil.insert("0") + DAMO_DIGIT) prefix = ( pynutil.delete("morphosyntactic_features:") + delete_space + pynutil.delete("\"") + pynini.closure(DAMO_NOT_QUOTE, 1) + pynutil.delete("\"") + delete_space + insert_space ) optional_prefix = pynini.closure(prefix, 0, 1) hour = ( pynutil.delete("hours:") + delete_space + pynutil.delete("\"") + pynini.closure(DAMO_DIGIT, 1) + pynutil.delete("\"") ) minute = ( pynutil.delete("minutes:") + delete_space + pynutil.delete("\"") + pynini.closure(DAMO_DIGIT, 1) + pynutil.delete("\"") ) suffix = ( delete_space + insert_space + pynutil.delete("suffix:") + delete_space + pynutil.delete("\"") + pynini.closure(DAMO_NOT_QUOTE, 1) + pynutil.delete("\"") ) optional_suffix = pynini.closure(suffix, 0, 1) graph = ( optional_prefix + hour + delete_space + pynutil.insert(":") + (minute @ add_leading_zero_to_double_digit) + optional_suffix ) delete_tokens = self.delete_tokens(graph) self.fst = delete_tokens.optimize()