Challenges include handling words with multiple meanings, where synonyms might not perfectly fit, and ensuring the substitutions maintain the original sentence's grammatical structure. Also, the choice of thesaurus or synonym database is important. For example, using a resource like WordNet in English, but the model has to generate the synonyms without external tools.
Assuming that, let's say the user's text is something like "Hello world." Then the task is to replace "Hello" with three synonyms and "world" with three synonyms. Proper nouns like names shouldn't be changed. For example, if the text was "Paris is the capital of France," then Paris and France would remain as they are, but "is," "the," "capital," "of" would each get three synonyms. free naughty american my first sex teacher 3gp video
But since the task is to think through how to approach this, let's consider steps: Assuming that, let's say the user's text is