Improving n-gram modeling using distance-related unit association maximum entropy language modeling

In this paper, a distance-related unit association maximum entropy (DUAME) language modeling is proposed. This approach can model an event (unit subsequence) using the co-occurrence of full distance unit association (UA) features so that it is able to pursue a functional approximation to higher order N-gram with signi cantly less memory requirement. A… CONTINUE READING