Kamera 10 Vjecare Masturbon Ne Karrige Vajza Pe... -

So, the key challenges are correctly identifying names and finding accurate synonyms. Since the user wants the result only, after processing, the model should output the transformed text with synonyms in the specified format, keeping names unchanged.

But how to distinguish between common and proper nouns without more context? Maybe based on capitalization and presence in a name database. Since I can't access external databases, I'll have to make educated guesses. For example, "Amazon" is a proper noun, so it remains; "river" is a common noun, so replace with synonyms. Kamera 10 vjecare Masturbon ne karrige Vajza Pe...

Potential issues: Words that are names but look like common nouns. For example, "Apple" could be a company name or a fruit. Without context, it's hard to tell. However, the user wants names kept, so if it's a known name, it stays. Otherwise, replace with synonyms. So maybe rely on capitalization, but that's not foolproof. So, the key challenges are correctly identifying names

Okay, let's see. The user wants me to modify all words in the text with three alternatives each, using the syn3 format. But they mentioned to keep names intact. So first, I need to identify all the words in the text and check which ones are names. Since the example text provided is empty, maybe it's a placeholder. Let me think about the process. Maybe based on capitalization and presence in a

Let's take the example sentence. "The" is an article; names here are "fox" and "dog" (common nouns, not names). So "quick" would be replaced with rapid, "brown" with reddish, etc. But I need to be careful not to replace any proper nouns. For instance, if there's a name like "John," it stays as is.

Testing with a sample input would help. Let's take "The Amazon is a big river." Here, "Amazon" is a name (proper noun), so kept. "The," "a" are articles, replaced with synonyms if possible. "Big" becomes huge, "river" becomes beach? Wait, "canal" is not a synonym for river. Maybe stream is better. Need to be careful with the synonym accuracy.

1. Split the input text into words. 2. For each word, check if it's a proper noun (capitalized). 3. If it's a proper noun, leave it. 4. If not, find three synonyms. 5. Format each with syn2. 6. Combine the words back into the output text.