| # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. | |
| # Copyright 2015 and onwards Google, Inc. | |
| # | |
| # 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. | |
| from text_processing.vi.graph_utils import ( | |
| NEMO_CHAR, | |
| NEMO_SIGMA, | |
| GraphFst, | |
| delete_space, | |
| ) | |
| try: | |
| import pynini | |
| from pynini.lib import pynutil | |
| PYNINI_AVAILABLE = True | |
| except (ModuleNotFoundError, ImportError): | |
| PYNINI_AVAILABLE = False | |
| class WordFst(GraphFst): | |
| """ | |
| Finite state transducer for verbalizing plain tokens | |
| e.g. tokens { name: "sleep" } -> sleep | |
| """ | |
| def __init__(self): | |
| super().__init__(name="word", kind="verbalize") | |
| chars = pynini.closure(NEMO_CHAR - " ", 1) | |
| char = pynutil.delete("name:") + delete_space + pynutil.delete('"') + chars + pynutil.delete('"') | |
| graph = char @ pynini.cdrewrite(pynini.cross(u"\u00A0", " "), "", "", NEMO_SIGMA) | |
| self.fst = graph.optimize() | |