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0855b0338a
* add streaming support to reazonresearch * update README for streaming * Update RESULTS.md * add onnx decode --------- Co-authored-by: root <root@KDA03.cm.cluster> Co-authored-by: Fangjun Kuang <csukuangfj@gmail.com> Co-authored-by: root <root@KDA01.cm.cluster> Co-authored-by: zr_jin <peter.jin.cn@gmail.com>
96 lines
2.6 KiB
Python
96 lines
2.6 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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# Copyright 2021 Xiaomi Corp. (authors: Mingshuang Luo)
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# 2022 Xiaomi Corp. (authors: Weiji Zhuang)
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#
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# See ../../../../LICENSE for clarification regarding multiple authors
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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This script takes as input "text", which refers to the transcript file:
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- text
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and generates the output file with word segmentation implemented using MeCab:
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- text_words_segmentation
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"""
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import argparse
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from multiprocessing import Pool
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import MeCab
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from tqdm import tqdm
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def get_parser():
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parser = argparse.ArgumentParser(
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description="Japanese Word Segmentation for text",
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formatter_class=argparse.ArgumentDefaultsHelpFormatter,
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)
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parser.add_argument(
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"--num-process",
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"-n",
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default=20,
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type=int,
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help="the number of processes",
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)
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parser.add_argument(
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"--input-file",
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"-i",
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default="data/lang_char/text",
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type=str,
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help="the input text file",
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)
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parser.add_argument(
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"--output-file",
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"-o",
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default="data/lang_char/text_words_segmentation",
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type=str,
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help="the text implemented with word segmentation using MeCab",
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)
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return parser
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def cut(lines):
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if lines is not None:
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mecab = MeCab.Tagger("-Owakati") # Use '-Owakati' option for word segmentation
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segmented_line = mecab.parse(lines).strip()
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return segmented_line.split() # Return as a list of words
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else:
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return None
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def main():
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parser = get_parser()
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args = parser.parse_args()
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num_process = args.num_process
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input_file = args.input_file
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output_file = args.output_file
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with open(input_file, "r", encoding="utf-8") as fr:
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lines = fr.readlines()
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with Pool(processes=num_process) as p:
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new_lines = list(tqdm(p.imap(cut, lines), total=len(lines)))
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with open(output_file, "w", encoding="utf-8") as fw:
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for line in new_lines:
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fw.write(" ".join(line) + "\n")
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if __name__ == "__main__":
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main()
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