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README.md
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@@ -93,10 +93,10 @@ Example where each prediction has 1 reference:
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{'bleu': 1.0, 'precisions': [1.0, 1.0, 1.0, 1.0], 'brevity_penalty': 1.0, 'length_ratio': 1.0, 'translation_length': 7, 'reference_length': 7}
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```
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Example where the
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```python
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>>> predictions = [
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... ["hello there general kenobi",
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... ["foo bar foobar"]
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... ]
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>>> references = [
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@@ -114,7 +114,7 @@ Example with the word tokenizer from NLTK:
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>>> bleu = evaluate.load("bleu")
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>>> from nltk.tokenize import word_tokenize
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>>> predictions = [
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... ["hello there general kenobi",
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... ["foo bar foobar"]
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... ]
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>>> references = [
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{'bleu': 1.0, 'precisions': [1.0, 1.0, 1.0, 1.0], 'brevity_penalty': 1.0, 'length_ratio': 1.0, 'translation_length': 7, 'reference_length': 7}
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```
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Example where the first prediction has 2 references:
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```python
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>>> predictions = [
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... ["hello there general kenobi"],
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... ["foo bar foobar"]
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... ]
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>>> references = [
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>>> bleu = evaluate.load("bleu")
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>>> from nltk.tokenize import word_tokenize
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>>> predictions = [
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... ["hello there general kenobi"],
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... ["foo bar foobar"]
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... ]
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>>> references = [
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