Modules

Modules available in werpy

The following table provides an overview of the modules that can be used in werpy:

Module	Description
normalize(text)	Preprocess input text to remove punctuation, remove duplicated spaces, leading/trailing blanks and convert all words to lowercase.
wer(reference, hypothesis)	Calculate the overall Word Error Rate for the entire reference and hypothesis texts.
wers(reference, hypothesis)	Calculates a list of the Word Error Rates for each of the reference and hypothesis texts.
werp(reference, hypothesis)	Calculates a weighted Word Error Rate for the entire reference and hypothesis texts.
werps(reference, hypothesis)	Calculates a list of weighted Word Error Rates for each of the reference and hypothesis texts.
summary(reference, hypothesis)	Provides a comprehensive breakdown of the calculated results including the WER, Levenshtein Distance and all the insertion, deletion and substitution errors.
summaryp(reference, hypothesis)	Delivers an in-depth breakdown of the results, covering metrics like WER, Levenshtein Distance, and a detailed account of insertion, deletion, and substitution errors, inclusive of the weighted WER.

Refer to the documentation for specific examples and usage instructions for these modules.