I would like to build a model that can take a sentence in the imperative form and output a new sentence in an interrogative form (however, the meaning would be the same in both sentences - both sentences are commands). I have seen the following question and have done some research into what kinds of models could be used, but I am stumped. Any advice on where to go from here would be very welcome.
Convert interrogative sentence to imperative sentence
Example data:
I have several imperative sentences with their interrogative counterparts.
Imperative: Make sure you know what your own assets are and operate them accordingly.
Interrogative 1: Do you know what your own assets are and can you operate them accordingly?
Interrogative 2: Do you know what your own assets are and how to operate them accordingly?
Imperative: Hold your hands in position.
Interrogative 1: Can you hold your hands in position?
Interrogative 2: Could you hold your hands in position?
I would prefer to do this with a machine learning approach because I have so many sentences.
The end goal is to be able to input an imperative and have a random interrogative with the same meaning output.
What I have done
I have created a rule-based system that can classify imperatives with 87% accuracy using NLTK's POS tagging chunking. I have also been able to extract the grammar from sentences using NLTK's context free grammar functions. I have done some research on neural language models and LSTMs, but these seem to want to take a paragraph or more of text as training. I want to use single sentences as training with clear output possibilities.
Final question
Is there an algorithm I can use in order to train the grammar differences between an imperative and its interrogative counterparts so that I can simply input an imperative and get an interrogative in return? Is there another approach I should look into?