First, I need to parse the input text carefully. Proper nouns like "German" and "A1" should remain unchanged. The main content is about reading and listening to German texts for language learning. I need to identify each word that isn't a proper noun and find three suitable synonyms. For example, "read" could become peruse, and "listen" might be listen.
But some of these replacements might not be perfect, but the task is to provide three options. Also, need to skip any proper nouns, brands, like "A1 is a specific language level, but "A1" is just a designation, not a brand. Wait, "A1" refers to a specific level in language certification, like CEFR Level A1. So "A1" should be left as is, right? Or is it a brand? Probably not. So "A1" should be converted if possible. Wait, but "A1" is the name of the level. Maybe it's better to leave it as A1 since there's no synonym for the specific level. Alternatively, if the user wants to change it, but I think it's safer to leave it as is. The sample response included "A1" as A1.
1. Tokenize the original text into individual words. 2. For each word, generate three synonyms or alternatives. 3. Replace each word with a format, ensuring to skip brands and names. 4. Output the transformed text.