Metadata-Version: 2.1
Name: fastwer
Version: 0.1.3
Summary: A PyPI package for fast word/character error rate (WER/CER) calculation
Home-page: https://github.com/kahne/fastwer
Author: Changhan Wang
Author-email: wangchanghan@gmail.com
License: MIT
Description: FastWER
        ====
        
        A PyPI package for fast word/character error rate (WER/CER) calculation
        * fast (cpp implementation)
        * sentence-level and corpus-level WER/CER scores
        
        
        # Installation
        ```bash
        pip install fastwer
        ```
        
        # Example
        ```python
        import fastwer
        hypo = ['This is an example .', 'This is another example .']
        ref = ['This is the example :)', 'That is the example .']
        
        # Corpus-Level WER: 40.0
        fastwer.score(hypo, ref)
        # Corpus-Level CER: 25.5814
        fastwer.score(hypo, ref, char_level=True)
        
        # Sentence-Level WER: 40.0
        fastwer.score_sent(hypo[0], ref[0])
        # Sentence-Level CER: 22.7273
        fastwer.score_sent(hypo[0], ref[0], char_level=True)
        ```
        
        
        # Contact
        Changhan Wang (wangchanghan@gmail.com)
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Description-Content-Type: text/markdown
