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onlybetheone 0fa8156321 update inverse_text_normalization/zh into fun_text_processing, update setup.py
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inverse_text_normalization update inverse_text_normalization/zh into fun_text_processing, update setup.py 2022-12-28 18:02:25 +08:00
text_normalization FunTextProcessing 2022-12-22 13:28:07 +08:00
__init__.py FunTextProcessing 2022-12-22 17:21:52 +08:00
install_pynini.sh FunTextProcessing 2022-12-22 13:28:07 +08:00
README.md FunTextProcessing 2022-12-22 17:30:13 +08:00
version.txt FunTextProcessing 2022-12-22 17:21:52 +08:00

README.md

Fundamental Text Processing (FunTextProcessing)

Introduction

FunTextProcessing is a Python toolkit for fundamental text processing in ASR including text processing , inverse text processing, which is included in the FunASR.

Highlights

  • FunTextProcessing supports inverse text processing (ITN), text processing (TN).
  • FunTextProcessing supports multilingual, 10+ languages for ITN, 5 languages for TN.

Installation

Fun Text Processing, specifically (Inverse) Text Normalization, requires Pynini to be installed.

bash fun_text_processing/install_pynini.sh

Example

Inverse Text Processing (ITN)

Given text inputs, such as speech recognition results, use fun_text_processing/inverse_text_normalization/inverse_normalize.py to output ITN results. You may refer to the following example scripts.

  • ITN example for English
python fun_text_processing/inverse_text_normalization/inverse_normalize.py --text="one hundred twenty three" --language=en
  • ITN example for Indonesian
python fun_text_processing/inverse_text_normalization/inverse_normalize.py --text="ratus dua puluh tiga" --language=id --cache_dir ./model/ --output_file output.txt
cat output.txt

Arguments:

  • text - Input text. Should not exceed 500 words.
  • input_file - Input file with lines of input text. Only one of text or input_file is accepted.
  • output_file - Output file to save normalizations. Needed if input_file is specified.
  • language - language id.
  • input_case - Only for text normalization. lower_cased or cased.
  • verbose - Outputs intermediate information.
  • cache_dir - Specifies a cache directory for compiled grammars. If grammars exist, this significantly improves speed.
  • overwrite_cache - Updates grammars in cache.
  • whitelist - TSV file with custom mappings of written text to spoken form.

Acknowledge

  1. We borrowed a lot of codes from NeMo.
  2. We refered the codes from WeTextProcessing for Chinese inverse text normalization.

License

This project is licensed under the Apache-2.0 license. FunTextProcessing also contains various third-party components and some code modified from other repos under other open source licenses.