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A PyPI package for fast word/character error rate (WER/CER) calculation

Project 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

pip install fastwer

Example

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)

Project details


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fastwer-0.1.3.tar.gz (4.6 kB view hashes)

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fastwer-0.1.3-cp37-cp37m-macosx_10_7_x86_64.whl (50.9 kB view hashes)

Uploaded CPython 3.7m macOS 10.7+ x86-64

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