Metadata-Version: 2.1
Name: g2pM
Version: 0.1
Summary: g2pM: A Neural Grapheme-to-Phoneme Conversion Package for MandarinChinese
Home-page: https://github.com/kakaobrain/g2pM
Author: Seanie Lee
Author-email: lsnfamily02@gmail.com
License: Apache License 2.0
Description: # g2pM
        A Neural Grapheme-to-Phoneme Conversion Package for MandarinChinese Based on a New Open Benchmark Dataset
        
        ## Dataset
        In data folder, there are [train/dev/test].sent files and [train/dev/test].lb files. In *.sent file, each lines corresponds to one sentence and a special symbol ▁ (U+2581) is added to the left and right of polyphonic character. The pronunciation of the corresponding character is at the same line from *.lb file. For each sentence, there could be several polyphonic characters, but we randomly choose only one polyphonic character to annotate.
        
        ## Requirements
        * python >= 3.6
        * numpy
        
        ## Usage
        ```
        >>> from g2pM import G2pM
        >>> model = G2pM()
        >>> sentence = "然而，他红了20年以后，他竟退出了大家的视线。"
        >>> model(sentence)
        ['ran2', 'er2', '，', 'ta1', 'hong2', 'le5', '20', 'nian2', 'yi3', 'hou4', '，', 'ta1', 'jing4', 'tui4', 'chu1', 'le5', 'da4', 'jia1', 'de5', 'shi4', 'xian4', '。']
        ```
        
        ## Model Size
        | Layer                 | Size    |
        |-----------------------|---------|
        | Embedding             | 64      |
        | LSTM x1               | 64      |
        | Fully-Connected x2    | 64      |
        | Total # of parameters | 477,228 |
        | Model size            | 1.7MB   |
        | Package size          | 2.1MB   |
        
        ## Evaluation Result
        
        | Model            | Dev.            | Test         |
        | :--------------| --------------: |:--------------:|
        | g2pC                 | 84.84                | 84.45           |
        | xpinyin(0.5.6)       | 78.74                | 78.56           |
        | pypinyin(0.36.0)     | 85.44                | 86.13           |
        | Majority Vote        | 92.15                | 92.08           |
        | Ours                 | **97.36**            | **97.31**       |
        
        
        ## Reference
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.6
Description-Content-Type: text/markdown
