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In the example, "đồng nghĩa" is replaced with "đồng nghĩa|đồng vị|đồng chỉ". However, these might not all be correct synonyms. "Đồng nghĩa" means "synonym", "đồng vị" can mean "isotope" or "same position", and "đồng chỉ" could be "same direction" or a name. This suggests that the example might have errors. The assistant needs to ensure that the synonyms are valid.

Wait, the user wrote "modify all words with 3 synonyms formatted v1". So for every word that isn't a proper noun, replace it with three synonyms in that format. But then how does the sentence structure work? The original text is in Vietnamese, and the user wants the output in Vietnamese. Let me think about an example. If the input word is "đồng nghĩa", the output is đồng nghĩa. So the user wants each occurrence of the word replaced with three synonyms. So the final text will have each original word (non-proper noun) replaced by three options. In the example, "đồng nghĩa" is replaced with

The assistant must be aware of limitations in synonym generation without external resources and the difficulty in identifying proper nouns accurately in Vietnamese. The final output would be the text where each non-proper This suggests that the example might have errors

In summary, the assistant's approach would be: So for every word that isn't a proper

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