mirror of
https://github.com/k2-fsa/icefall.git
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59c943878f
* add the `voxpopuli` recipe - this is the data preparation - there is no ASR training and no results * update the PR#1374 (feedback from @csukuangfj) - fixing .py headers and docstrings - removing BUT specific parts of `prepare.sh` - adding assert `num_jobs >= num_workers` to `compute_fbank.py` - narrowing list of languages (let's limit to ASR sets with transcripts for now) - added links to `README.md` - extending `text_from_manifest.py`
131 lines
3.8 KiB
Python
Executable File
131 lines
3.8 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright 2023 Brno University of Technology (authors: Karel Veselý)
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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 chops the punctuation as standalone tokens.
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Example:
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input: "This is fine. Yes, you are right."
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output: "This is fine . Yes , you are right ."
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The script also handles exceptions in a hard-coded fashion.
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(same functionality could be done with `nltk.tokenize.word_tokenize()`,
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but that would be an extra dependency)
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It can be used as a module, or as an executable script.
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Usage example #1:
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`from separate_punctuation import separate_punctuation`
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Usage example #2:
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```
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python3 ./local/separate_punctuation.py \
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--ignore-columns 1 \
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< ${kaldi_data}/text
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```
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"""
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import re
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import sys
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from argparse import ArgumentParser
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def separate_punctuation(text: str) -> str:
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"""
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Text filtering function for separating punctuation.
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Example:
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input: "This is fine. Yes, you are right."
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output: "This is fine . Yes , you are right ."
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The exceptions for which the punctuation is
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not splitted are hard-coded.
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"""
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# remove non-desired punctuation symbols
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text = re.sub('["„“«»]', "", text)
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# separate [,.!?;] punctuation from words by space
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text = re.sub(r"(\w)([,.!?;])", r"\1 \2", text)
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text = re.sub(r"([,.!?;])(\w)", r"\1 \2", text)
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# split to tokens
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tokens = text.split()
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tokens_out = []
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# re-join the special cases of punctuation
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for ii, tok in enumerate(tokens):
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# no rewriting for 1st and last token
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if ii > 0 and ii < len(tokens) - 1:
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# **RULES ADDED FOR CZECH COMMON VOICE**
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# fix "27 . dubna" -> "27. dubna", but keep punctuation separate,
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if tok == "." and tokens[ii - 1].isdigit() and tokens[ii + 1].islower():
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tokens_out[-1] = tokens_out[-1] + "."
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continue
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# fix "resp . pak" -> "resp. pak"
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if tok == "." and tokens[ii - 1].isalpha() and tokens[ii + 1].islower():
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tokens_out[-1] = tokens_out[-1] + "."
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continue
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# **RULES ADDED FOR ENGLISH COMMON VOICE**
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# fix "A ." -> "A."
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if tok == "." and re.match(r"^[A-Z]S", tokens[ii - 1]):
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tokens_out[-1] = tokens_out[-1] + "."
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continue
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# fix "Mr ." -> "Mr."
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exceptions = set(["Mr", "Mrs", "Ms"])
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if tok == "." and tokens[ii - 1] in exceptions:
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tokens_out[-1] = tokens_out[-1] + "."
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continue
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tokens_out.append(tok)
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return " ".join(tokens_out)
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def get_args():
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parser = ArgumentParser(
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description="Separate punctuation from words: 'hello.' -> 'hello .'"
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)
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parser.add_argument(
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"--ignore-columns", type=int, default=1, help="skip number of initial columns"
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)
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return parser.parse_args()
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def main():
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args = get_args()
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max_split = args.ignore_columns
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while True:
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line = sys.stdin.readline()
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if not line:
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break
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*key, text = line.strip().split(maxsplit=max_split)
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text_norm = separate_punctuation(text)
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print(" ".join(key), text_norm)
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if __name__ == "__main__":
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main()
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