icefall/egs/mdcc/ASR/local/text2segments.py
zr_jin c3f6f28116
Zipformer recipe for Cantonese dataset MDCC (#1537)
* init commit

* Create README.md

* handle code switching cases

* misc. fixes

* added manifest statistics

* init commit for the zipformer recipe

* added scripts for exporting model

* added RESULTS.md

* added scripts for streaming related stuff

* doc str fixed
2024-03-13 10:01:28 +08:00

87 lines
2.3 KiB
Python
Executable File

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2021 Xiaomi Corp. (authors: Mingshuang Luo)
# 2022 Xiaomi Corp. (authors: Weiji Zhuang)
# 2024 Xiaomi Corp. (authors: Zengrui Jin)
#
# See ../../../../LICENSE for clarification regarding multiple authors
#
# 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.
"""
This script takes as input "text", which refers to the transcript file for
MDCC:
- text
and generates the output file text_word_segmentation which is implemented
with word segmenting:
- text_words_segmentation
"""
import argparse
from typing import List
import pycantonese
from tqdm.auto import tqdm
def get_parser():
parser = argparse.ArgumentParser(
description="Cantonese Word Segmentation for text",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
parser.add_argument(
"--input-file",
"-i",
default="data/lang_char/text",
type=str,
help="the input text file for MDCC",
)
parser.add_argument(
"--output-file",
"-o",
default="data/lang_char/text_words_segmentation",
type=str,
help="the text implemented with words segmenting for MDCC",
)
return parser
def get_word_segments(lines: List[str]) -> List[str]:
return [
" ".join(pycantonese.segment(line)) + "\n"
for line in tqdm(lines, desc="Segmenting lines")
]
def main():
parser = get_parser()
args = parser.parse_args()
input_file = args.input_file
output_file = args.output_file
with open(input_file, "r", encoding="utf-8") as fr:
lines = fr.readlines()
new_lines = get_word_segments(lines)
with open(output_file, "w", encoding="utf-8") as fw:
fw.writelines(new_lines)
if __name__ == "__main__":
main()