MT-Evaluation

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Machine Translation (MT) Evaluation Scripts

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# MT-Evaluation
Machine Translation (MT) Evaluation Scripts

Tutorials for this repository can be found at: https://blog.machinetranslation.io/tag/machine-translation-evaluation/

## Installation

All dependencies can be installed via:

```
pip3 install -r requirements.txt
```

## Usage

To run the Python scripts and calculate the MT evaluation metrics on your machine translation output, you need to have two files:

1. Reference: It is the human translation (target) file of your test dataset.
2. System: It is the MTed translation/prediction, generated by the machine translation model for the source of the same test dataset used for “Reference”.

### BLEU
**Corpus BLEU:** Calculates the BLEU score for the whole corpus and prints the result.
```
python3 compute-bleu.py Reference.txt System.txt
```

**Sentence BLEU:** Calculates the BLEU score for sentence by sentence and saves the result to a file.
```
python3 compute-bleu-sentence.py Reference.txt System.txt
```

### METEOR
**Sentence METEOR:** Note that METEOR works on the sentence level only.
```
python3 sentence-meteor.py Reference.txt System.txt
```

### WER
**Corpus WER:** Calculates the WER score for the whole corpus and prints the result.
```
python3 corpus-wer.py Reference.txt System.txt
```

**Sentence WER:** Calculate the WER score for sentence by sentence and saves the result to a file.
```
python3 sentence-wer.py Reference.txt System.txt
```

## Questions
If you have questions or suggestions, please feel free to [contact](https://blog.machinetranslation.io/contact/) me.

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