Wait, the user's instruction says to keep brand names. So when replacing the words, if a word is part of a brand name, I shouldn't replace it. That adds a layer of complexity. First, I should identify any brand names in the text. How do I do that? Well, maybe look for words in capitalized letters that are proper nouns, or known brands. But sometimes brands might not be immediately obvious. In this case, "Apple Inc." and "Microsoft" are clear.
Looking at the user's example input and output: TittyAttack 24 09 03 Hazel Moore Risky Sex With...
- "Apple Inc." is a brand name, remains unchanged. - "has" becomes three synonyms: "has declared|notified|informed" but wait, the example shows that the entire phrase "has announced" is replaced with three options. Wait, in the example, the user's instruction says to switch every word with three variants. So each word gets three options. But in the example, the original text is "Apple Inc. has announced a new partnership with Microsoft." The transformed text is "Apple Inc. maintains notified this new alliance together with Microsoft". Wait, the user's instruction says to keep brand names
1. Tokenize the input text into words and brand names (multi-word entities). 2. For each token that is a brand name, leave it as is. 3. For each token that is not a brand name, generate three synonyms and present them in the opt2 format. 4. Reconstruct the text with the replacements. First, I should identify any brand names in the text
Wait, in the example provided, "Apple Inc." is replaced with options, but in the user's instruction, it says "Keep brand names." So there's a contradiction here. The user might have made a mistake in their example. Wait, let me check again.
Another thing to consider is the structure of the brand names. For example, "Apple Inc." has a space and a company suffix. Some brand names might be longer, like "International Business Machines Corporation". So breaking the text into individual words might split the brand name into parts. How do I handle that? Maybe I need to treat brand names as multi-word entities. For instance, "Apple Inc." is one brand name spanning two words. If I split the text word by word, "Apple" and "Inc." would be separate, but they should be considered together as a brand. So I need a way to detect multi-word brand names and keep them intact.
Assuming that the user wants all words except brand names to be replaced by three options, and brand names to remain unchanged. However, the example provided seems to replace the brand name with three options, which contradicts the instruction. This might be a mistake in the example provided by the user.