What does "BLEU Scores" mean?
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BLEU scores are a way to measure how well a computer translation matches a human translation. Think of it like a grade that shows how good a translation is. The higher the score, the better the translation is considered to be.
How Does It Work?
When a computer translates a sentence, its result is compared to one or more human translations. BLEU checks for matching words and phrases. It counts how many translations have the same words in the same order and then gives a score based on that.
Why Are BLEU Scores Important?
BLEU scores help researchers and developers see how their translation systems are doing. They give a clear, simple way to compare different translation models and see which one performs better. This helps improve the quality of machine translation over time.
What Do the Scores Mean?
- Score of 0: The translation is very poor, with few or no matching words.
- Score of 20-30: The translation is decent, but there's still room for improvement.
- Score of 40 and above: The translation is quite good and often close to human quality.
In summary, BLEU scores are useful for measuring and improving the quality of machine translations, making it easier for people to get accurate translations from one language to another.