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It would be cool if you could make a software that converted all the active voice sentences in an article to passive voice sentences, and vice versa. For example:Active voice: The dog ate the steakWith the software, this would automatically be converted to:Passive voice: The steak was eaten by the dog.Others: The steak is being eaten by the dog, The steak is going to get eaten by the dog, The dog eats steak, The dog is eating steak, etcThe purpose of the software would be to quickly and easily create unique content while maintaining readable sentences.Could be used for turning duplicate content into unique content with ease. Such a technology would be extremely powerful.The main power of the software is in identifying the main subjects in a sentence, in this case, steak and dog. Also in identifying active and passive voice. The main subjects like steak and dog could easily be replaced with other subjects like meat and cat.
That's interesting. I actually have a corpus for tagging parts of speech, so that's not a problem. The question is whether or not I can algorithmically determine when words can be reordered in this way.In addition to active/passive voice, any other ideas as to what kind of word rearrangement could be done?Thanks!