For instance , the term neural machine translation ( NMT ) emphasizes the fact that deep learning-based approaches to machine translation directly learn sequence-to-sequence transformations , obviating the need for intermediate steps such as word alignment and language modeling that was used in statistical machine translation ( SMT ) .