From 4f02791c6597c540697d4f453a7530415dba9b53 Mon Sep 17 00:00:00 2001 From: zhifu gao <zhifu.gzf@alibaba-inc.com> Date: 星期五, 23 十二月 2022 19:26:07 +0800 Subject: [PATCH] Merge pull request #16 from alibaba-damo-academy/dev --- fun_text_processing/README.md | 53 +++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 files changed, 53 insertions(+), 0 deletions(-) diff --git a/fun_text_processing/README.md b/fun_text_processing/README.md new file mode 100644 index 0000000..9778493 --- /dev/null +++ b/fun_text_processing/README.md @@ -0,0 +1,53 @@ +**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](https://github.com/NVIDIA/NeMo). +2. We refered the codes from [WeTextProcessing](https://github.com/wenet-e2e/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. -- Gitblit v1.9.1