Testing this process with a sample input might help. Let's take a sentence: "John changed the text." The word "John" is a name, so it stays. "Changed" becomes modified, "the" becomes these, "text" becomes document. The result would be: John altered this text.
Now, considering that the user might be testing if I can generate synonyms regardless of part of speech. For instance, "change" is a verb, so synonyms should be verbs. However, if the word is part of a different part of speech, like a noun, the synonyms should reflect that. For example, "work" as a noun might have synonyms like "job", "task", "project". But without context, it's hard to know. The user might accept the most common synonyms regardless of part of speech, or they might expect a mix. I'll proceed with the most straightforward approach. fifty shades of grey download telegram link
Next, I need to make sure that each synonym replacement is in the specified format. That means for each word except names, generate a list of three synonyms separated by |. The output should only include the result, no explanations. But since the input text is empty here, I might need to create an example scenario. Testing this process with a sample input might help
In conclusion, my approach is:
1. Tokenize the input text into words, names, and other elements. 2. For each word that is not a name, find three synonyms. 3. Replace the word with syn2. 4. Ensure names remain unchanged. 5. Output the transformed text with only the result. The result would be: John altered this text
For generating synonyms, perhaps using a thesaurus API or a built-in synonym finder would be necessary. Since I don't have access to real-time APIs, I have to rely on known equivalents. For example, "change" can become "alter", "modify", and "adjust". But the user's example shows "alter" and "modify" as the first two. I should aim for accuracy and relevance here.
Another point: the user wants only the result, no explanations. So the final output should just be the transformed text without any additional text. Also, the example includes words like "Only" and "the", which are function words. I need to ensure that even those are replaced unless they are names. For instance, "the" can be replaced with "this", "that", etc., as in the example.