1. Tokenize the input text into words, names, and other elements. 2. For each word that is not a name, find three synonyms. 3. Replace the word with syn3. 4. Ensure names remain unchanged. 5. Output the transformed text with only the result.
In conclusion, my approach is:
For generating synonyms, perhaps using a thesaurus API or a built-in synonym finder would be necessary. Since I don't have access to real-time APIs, I have to rely on known equivalents. For example, "change" can become "alter", "modify", and "adjust". But the user's example shows "alter" and "modify" as the first two. I should aim for accuracy and relevance here. fifty shades of grey download telegram link
Wait, in their example for "format", they have four options separated by |, but the instructions specify three alternatives. That might be a mistake on their part. So I should stick to three unless the user allows four. The key is to follow the exact format they request. For each word that is not a name, find three synonyms
Another consideration: handling words with multiple parts of speech. For example, "run" can be a verb or a noun. The synonyms might differ based on part of speech. Since I don't have part-of-speech tagging in this scenario, I'll have to make an educated guess. But again, the user might not care as long as the synonyms are plausible. in their example for "format"