Metadata-Version: 2.1
Name: vinorm
Version: 2.0.0
Summary: Python package for text normalization, use for frontend of Text-to-speech Reseach
Home-page: https://github.com/NoahDrisort/vinorm
Author: AILAB
Author-email: donhanbentre@gmail.com
License: AILAB
Description: Install ViNorm package
        ```
        pip install vinorm
        ```
        Using in python script
        ```python
        from vinorm import TTSnorm
        S=TTSnorm("Hàm này được phát triển từ 8/2019, trả về định dạng là String đã được chuẩn hóa.")
        ```
        
        Just get normalization without lowercase
        ```python
        from vinorm import TTSrawUpper
        S=TTSrawUpper("Hàm này được phát triển từ 8/2019, trả về định dạng là String đã được chuẩn hóa.")
        ```
        
        Just get normalization wit Regex, not using Dictionary Checking
        ```python
        from vinorm import TTSrule
        S=TTSrule("Hàm này được phát triển từ 8/2019, trả về định dạng là String đã được chuẩn hóa.")
        ```
        
        
        From version 2.0, do not replace unknow words, skip them for espeak handle in phonetization step
        - This version does not parse case: "Tổ chức WTO"
        WTO do not in dictionary -> unknow -> keep origin, do not spell as in version 1.0, this aim to use with espeak, let espeak handle, but the drawback is the output of espeak for this case is "ve1kɛɜpte1ɔ7", it does not split each syllable.
        - For new entity, need to update in the dictionary
        
        For update lastest version access: https://github.com/NoahDrisort/vinorm
        
        For version 1.0: spell words that is unknow by each character, check previous commit
        
        For C++ version: https://github.com/NoahDrisort/vinorm_cpp_version
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: Free for non-commercial use
Classifier: Natural Language :: Vietnamese
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Description-Content-Type: text/markdown
