Another consideration is part of speech. The synonyms should match the original word's part of speech. For example, if the word is a verb, the synonyms should be verbs. If it's a noun, the synonyms should be nouns. This adds another layer of complexity, as I need to determine the type of each word before finding synonyms.
Okay, the key steps are: identify each word that needs substitution, find three synonyms for each, format them correctly, and make sure not to change any brand names. I need to make sure that the synonyms are appropriate and contextually relevant. For example, if the word is "happy," the synonyms could be "joyful|elated|content." -Users choice- desvirgando a mi cunada ana
In summary, the steps are: 1. Parse the input text. 2. Identify each word, preserving brand names. 3. For each non-brand word, find three appropriate synonyms. 4. Replace the word with syn2. 5. Output the modified text only. Another consideration is part of speech
Wait, but how do I distinguish between common words and brand names? That's a critical point. Brands like Nike, Coca-Cola, or Samsung should remain unchanged. The challenge is to parse the text and identify which words are brand names. Maybe using a brand name database or checking capitalization, but that's complicated. Alternatively, the user might expect that I keep any word in all caps or known brand terms as is. But without a specific list, I might have to rely on the user to clarify. If it's a noun, the synonyms should be nouns