#!/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()