sentence similarity

[jojo05]

Hi,
I am looking at the C++ MonolingualModel public classes and would like to confirm the steps to follow to perform sentence similarity

1. load - (the word model)
2. sentVec(file) - compute sentence vectors (one sentence per line)
3. saveSentVectors - save the sentence vectors in text format

Question: given one existing sentence, how do I get the closest ones ?

I assume here that to compute the similarity of the given vector with all the other vectors, and there is no method for it. Is this correct ?

I see there is a similaritySentence for strings but maybe you should add one method that works with vectors or maybe a closestSentence method with params (sentence vector, all sentence vectors)

Thanks