Top 10 Mallu Indian | Mms Scandals-srg ((top))

Wait, but how do I handle words that are already part of a name? For example, if the text has "Apple Inc. released a new iPhone", "Apple" and "iPhone" are names. I need to ensure those stay unchanged, while converting other words like "released" to something like "launched".

Please provide the text you'd like me to process. Top 10 Mallu Indian MMS Scandals-SRG

Another consideration: if a word is part of a compound term, like "New York" as a name versus a phrase like "New York City", the former is a proper noun, the latter as a name. I'll need to treat each separately based on capitalization and common knowledge of proper nouns. Wait, but how do I handle words that

In summary, the steps I need to follow once the text is provided are: 1. Split the text into individual words. 2. Identify which words are names (proper nouns) and leave them unchanged. 3. For each non-name word, generate three appropriate synonym variants. 4. Replace each non-name word with opt1. 5. Reassemble the text with these replacements. 6. Ensure the final output follows the exact format and contains no extra text. I need to ensure those stay unchanged, while

Also, the user might be testing if I can handle edge cases, like words that are too short (less than 3 letters), which might not have obvious synonyms. For example, "run" could be replaced with "sprint|dash|move", but "run" can also mean operating a business. I need to consider the context, but the user hasn't provided context beyond the format. So I'll go with the most direct synonyms available.

Without seeing the actual text, it's a bit speculative, but once the text is provided, I can go through each word, check if it's a proper noun, and if not, generate three synonyms. I might need to use a thesaurus or synonym API if I'm coding this, but since I'm doing it manually, I'll rely on my knowledge of English vocabulary.