From 28ccfbfc51068a663a80764e14074df5edf2b5ba Mon Sep 17 00:00:00 2001
From: kongdeqiang <kongdeqiang960204@163.com>
Date: 星期五, 13 三月 2026 17:41:41 +0800
Subject: [PATCH] 提交
---
fun_text_processing/inverse_text_normalization/export_models.py | 164 ++++++++++++++++++++++++++++++++----------------------
1 files changed, 96 insertions(+), 68 deletions(-)
diff --git a/fun_text_processing/inverse_text_normalization/export_models.py b/fun_text_processing/inverse_text_normalization/export_models.py
index 49149c2..0597f7f 100644
--- a/fun_text_processing/inverse_text_normalization/export_models.py
+++ b/fun_text_processing/inverse_text_normalization/export_models.py
@@ -1,32 +1,19 @@
-# 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 os
from time import perf_counter
from argparse import ArgumentParser
from fun_text_processing.text_normalization.en.graph_utils import generator_main
+
def parse_args():
parser = ArgumentParser()
-
- parser.add_argument(
- "--language", help="language", choices=['de', 'en', 'es', 'fr', 'id', 'ja', 'ko', 'pt', 'ru', 'vi', 'zh'], default="en", type=str
- )
parser.add_argument(
- "--token_and_classify_and_verbalize", help="export the single token&classify and verbalize or combined", choices=['single', 'combine'],
- default="combine", type=str
+ "--language",
+ help="language",
+ choices=["de", "en", "es", "fr", "id", "ja", "ko", "pt", "ru", "vi", "zh"],
+ default="en",
+ type=str,
)
-
parser.add_argument(
"--export_dir",
help="path to export directory. Default to current directory.",
@@ -35,46 +22,95 @@
)
return parser.parse_args()
-def get_grammars(lang: str='en'):
- if lang=='de':
- from fun_text_processing.inverse_text_normalization.de.taggers.tokenize_and_classify import ClassifyFst
- from fun_text_processing.inverse_text_normalization.de.verbalizers.verbalize_final import VerbalizeFinalFst
- elif lang=='en':
- from fun_text_processing.inverse_text_normalization.en.taggers.tokenize_and_classify import ClassifyFst
- from fun_text_processing.inverse_text_normalization.en.verbalizers.verbalize_final import VerbalizeFinalFst
- elif lang=='es':
- from fun_text_processing.inverse_text_normalization.es.taggers.tokenize_and_classify import ClassifyFst
- from fun_text_processing.inverse_text_normalization.es.verbalizers.verbalize_final import VerbalizeFinalFst
- elif lang=='fr':
- from fun_text_processing.inverse_text_normalization.fr.taggers.tokenize_and_classify import ClassifyFst
- from fun_text_processing.inverse_text_normalization.fr.verbalizers.verbalize_final import VerbalizeFinalFst
- elif lang=='id':
- from fun_text_processing.inverse_text_normalization.id.taggers.tokenize_and_classify import ClassifyFst
- from fun_text_processing.inverse_text_normalization.id.verbalizers.verbalize_final import VerbalizeFinalFst
- elif lang=='ja':
- from fun_text_processing.inverse_text_normalization.ja.taggers.tokenize_and_classify import ClassifyFst
- from fun_text_processing.inverse_text_normalization.ja.verbalizers.verbalize_final import VerbalizeFinalFst
- elif lang=='ko':
- from fun_text_processing.inverse_text_normalization.ko.taggers.tokenize_and_classify import ClassifyFst
- from fun_text_processing.inverse_text_normalization.ko.verbalizers.verbalize_final import VerbalizeFinalFst
- elif lang=='pt':
- from fun_text_processing.inverse_text_normalization.pt.taggers.tokenize_and_classify import ClassifyFst
- from fun_text_processing.inverse_text_normalization.pt.verbalizers.verbalize_final import VerbalizeFinalFst
- elif lang=='ru':
- from fun_text_processing.inverse_text_normalization.ru.taggers.tokenize_and_classify import ClassifyFst
- from fun_text_processing.inverse_text_normalization.ru.verbalizers.verbalize_final import VerbalizeFinalFst
- elif lang=='vi':
- from fun_text_processing.inverse_text_normalization.vi.taggers.tokenize_and_classify import ClassifyFst
- from fun_text_processing.inverse_text_normalization.vi.verbalizers.verbalize_final import VerbalizeFinalFst
- elif lang=='zh':
- from fun_text_processing.inverse_text_normalization.zh.taggers.tokenize_and_classify import ClassifyFst
- from fun_text_processing.inverse_text_normalization.zh.verbalizers.verbalize_final import VerbalizeFinalFst
- else:
- from fun_text_processing.inverse_text_normalization.en.taggers.tokenize_and_classify import ClassifyFst
- from fun_text_processing.inverse_text_normalization.en.verbalizers.verbalize_final import VerbalizeFinalFst
+def get_grammars(lang: str = "en"):
+ if lang == "de":
+ from fun_text_processing.inverse_text_normalization.de.taggers.tokenize_and_classify import (
+ ClassifyFst,
+ )
+ from fun_text_processing.inverse_text_normalization.de.verbalizers.verbalize_final import (
+ VerbalizeFinalFst,
+ )
+ elif lang == "en":
+ from fun_text_processing.inverse_text_normalization.en.taggers.tokenize_and_classify import (
+ ClassifyFst,
+ )
+ from fun_text_processing.inverse_text_normalization.en.verbalizers.verbalize_final import (
+ VerbalizeFinalFst,
+ )
+ elif lang == "es":
+ from fun_text_processing.inverse_text_normalization.es.taggers.tokenize_and_classify import (
+ ClassifyFst,
+ )
+ from fun_text_processing.inverse_text_normalization.es.verbalizers.verbalize_final import (
+ VerbalizeFinalFst,
+ )
+ elif lang == "fr":
+ from fun_text_processing.inverse_text_normalization.fr.taggers.tokenize_and_classify import (
+ ClassifyFst,
+ )
+ from fun_text_processing.inverse_text_normalization.fr.verbalizers.verbalize_final import (
+ VerbalizeFinalFst,
+ )
+ elif lang == "id":
+ from fun_text_processing.inverse_text_normalization.id.taggers.tokenize_and_classify import (
+ ClassifyFst,
+ )
+ from fun_text_processing.inverse_text_normalization.id.verbalizers.verbalize_final import (
+ VerbalizeFinalFst,
+ )
+ elif lang == "ja":
+ from fun_text_processing.inverse_text_normalization.ja.taggers.tokenize_and_classify import (
+ ClassifyFst,
+ )
+ from fun_text_processing.inverse_text_normalization.ja.verbalizers.verbalize_final import (
+ VerbalizeFinalFst,
+ )
+ elif lang == "ko":
+ from fun_text_processing.inverse_text_normalization.ko.taggers.tokenize_and_classify import (
+ ClassifyFst,
+ )
+ from fun_text_processing.inverse_text_normalization.ko.verbalizers.verbalize_final import (
+ VerbalizeFinalFst,
+ )
+ elif lang == "pt":
+ from fun_text_processing.inverse_text_normalization.pt.taggers.tokenize_and_classify import (
+ ClassifyFst,
+ )
+ from fun_text_processing.inverse_text_normalization.pt.verbalizers.verbalize_final import (
+ VerbalizeFinalFst,
+ )
+ elif lang == "ru":
+ from fun_text_processing.inverse_text_normalization.ru.taggers.tokenize_and_classify import (
+ ClassifyFst,
+ )
+ from fun_text_processing.inverse_text_normalization.ru.verbalizers.verbalize_final import (
+ VerbalizeFinalFst,
+ )
+ elif lang == "vi":
+ from fun_text_processing.inverse_text_normalization.vi.taggers.tokenize_and_classify import (
+ ClassifyFst,
+ )
+ from fun_text_processing.inverse_text_normalization.vi.verbalizers.verbalize_final import (
+ VerbalizeFinalFst,
+ )
+ elif lang == "zh":
+ from fun_text_processing.inverse_text_normalization.zh.taggers.tokenize_and_classify import (
+ ClassifyFst,
+ )
+ from fun_text_processing.inverse_text_normalization.zh.verbalizers.verbalize_final import (
+ VerbalizeFinalFst,
+ )
+ else:
+ from fun_text_processing.inverse_text_normalization.en.taggers.tokenize_and_classify import (
+ ClassifyFst,
+ )
+ from fun_text_processing.inverse_text_normalization.en.verbalizers.verbalize_final import (
+ VerbalizeFinalFst,
+ )
- return ClassifyFst().fst, VerbalizeFinalFst().fst
+ return ClassifyFst().fst, VerbalizeFinalFst().fst
+
if __name__ == "__main__":
args = parse_args()
@@ -83,17 +119,9 @@
os.makedirs(export_dir, exist_ok=True)
tagger_far_file = os.path.join(export_dir, args.language + "_itn_tagger.far")
verbalizer_far_file = os.path.join(export_dir, args.language + "_itn_verbalizer.far")
- tager_and_verbalizer_far_file = os.path.join(export_dir, args.language, "model.far" )
start_time = perf_counter()
tagger_fst, verbalizer_fst = get_grammars(args.language)
-
- if args.token_and_classify_and_verbalize == 'single':
- generator_main(tagger_far_file, {"tokenize_and_classify": tagger_fst})
- generator_main(verbalizer_far_file, {"verbalize": verbalizer_fst})
- elif args.token_and_classify_and_verbalize == 'combine':
- if not os.path.exists(os.path.join(export_dir, args.language)):
- os.makedirs(os.path.join(export_dir, args.language))
- generator_main(tager_and_verbalizer_far_file, {"tokenize_and_classify": tagger_fst, "verbalize": verbalizer_fst})
- print(f'Time to generate graph: {round(perf_counter() - start_time, 2)} sec')
-
+ generator_main(tagger_far_file, {"tokenize_and_classify": tagger_fst})
+ generator_main(verbalizer_far_file, {"verbalize": verbalizer_fst})
+ print(f"Time to generate graph: {round(perf_counter() - start_time, 2)} sec")
--
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