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Merge pull request #1018 from sadakmed/patch-2
Update README.md
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examples/training/multilingual/README.md

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@@ -188,7 +188,7 @@ dev_trans_acc = evaluation.TranslationEvaluator(src_sentences, trg_sentences, na
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You can also measure the semantic textual similarity (STS) between sentence pairs in different languages:
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```python
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sts_evaluator = evaluation.EmbeddingSimilarityEvaluatorFromList(sentences1, senteces2, scores)
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sts_evaluator = evaluation.EmbeddingSimilarityEvaluatorFromList(sentences1, sentences2, scores)
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```
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Where `sentences1` and `sentences2` are lists of sentences and score is numeric value indicating the sematic similarity between `sentences1[i]` and `sentences2[i]`.

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