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Putting it all together, the process would involve:
I'll replace each word with three synonyms in the format v1. Provide the text you'd like me to process. xvedios free download.com
- Tokenizing the text into words. - For each token: - If it's a proper noun (capitalized) or a known brand, skip. - Else, generate three synonyms using a thesaurus. - Format with v2. Putting it all together, the process would involve:
But how to find the synonyms? Maybe using a thesaurus API. However, in a real scenario, I would need access to one. Since I can't actually make API calls, maybe I can simulate it based on my training data. For example, for the word "happy", synonyms could be "joyful|content|pleased". But some words might have multiple meanings, so the synonyms could vary. Also, need to handle parts of speech. For instance, "run" as a verb vs. noun. The synonyms should match the part of speech. - For each token: - If it's a