First, I need to parse the input text and identify each word. Then, for each word, find three synonyms. But wait, how do I handle names? The user said names should stay the same. So names are probably proper nouns—capitalized words? Or maybe any word that's part of a proper name, like "John" in "John Smith." I need to detect those. But how? If the text is something like "John went to the market," I need to leave "John" as is. But if it's "john" in lowercase, perhaps it's not a name. So maybe check capitalization? That could be part of it.
Wait, the user wants the result formatted as word2 with each original word replaced. Let me take an example. Suppose the input is "The cat sat on the mat." The output should be The feline sat on the mat. But names remain unchanged. So the challenge is to go through each word, determine if it's a name, and if not, find three synonyms.
In summary, the steps are:
Another example: "I like apples." Output: I favor apples. Since "apples" is a common noun, but it's part of a name maybe if it's a brand like Apple Inc. But in the example, it's just a fruit. So no name, so need three synonyms. However, apples are specific; maybe "pomes," but that's technical. So perhaps "apples" would stay with duplicates: apples.
a. Check if the first letter is capitalized. If yes, and it's not the start of a sentence, consider it a proper noun and leave unchanged. How to determine if it's the start of a sentence? That's tricky. Maybe assume that the first word is part of a name if not specified otherwise. Alternatively, for simplicity, treat all capitalized words as proper nouns. INDO18 - Nonton Bokep Viral Gratis - Page 65
- Format each as word3
But wait, "The" and "the" in the input are lowercased? No, in the example, "The" is capitalized. Wait, in the example input, "The" is at the beginning of the sentence. So in the output, the user didn't change that. The output includes The, so each instance of "The" is replaced with three options, but in this case, the synonyms for "the" are "the," "the," "the," which doesn't change it. Since "the" is an article, it's hard to find good synonyms. So in such cases, the model might repeat the same word. But maybe a better approach is to have the same word twice or three times if there are no good synonyms. Alternatively, maybe use the same word if synonyms are not available. First, I need to parse the input text and identify each word
2. For each word: