State University of New York at Stony Brook

Statistical Machine Translation (SMT) and Neural Machine Translation (NMT) are two key paradigms in machine translation:

* **Statistical Machine Translation (SMT):** A phrase-based statistical approach that divides input sentences into word or phrase units and maps them to the most statistically similar translations stored in advance.
* **Neural Machine Translation (NMT):** An end-to-end deep learning approach that applies a single large artificial neural network to translate entire sentences. NMT typically consumes less memory, is faster during inference, and captures contextual information more effectively than the multi-stage pipeline of SMT.

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