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Example code of itk-dev/sentence-similarity-metrics

Informations about the package sentence-similarity-metrics

Sentence similarity metrics

A PHP library containing metrics for comparing sentences.

Install

You can install this library by utilizing PHP Composer, which is the recommended dependency management tool for PHP.

Metrics

Word error rate (WER)

WER is a metric used for determining the performance of a speech recognition system. See Wikipedia: Word error rate and Metric: wer for more information.

WER compares a reference sentence to a prediction made by a speech recognition system.

Character error rate (CER)

CER is WER on character level rather than word level.

Development

Install

To install the dependencies required for the development and usage of this library, run composer install through the supplied docker compose setup.

Tests

We use the PHPUnit testing framework.

To run tests execute the following command:

Check coding standards

The following commands let you test that the code follows the coding standards we decided to adhere to in this project.

Check Markdown file

Apply coding standards

You can automatically fix some coding styles issues by running:

All versions of sentence-similarity-metrics with dependencies

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Requires php Version >=8.2
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