The phrase translation probability feature selects phrases that occurs more frequently in the training corpus, which sometimes is long with a lower translation probability, as in translating named entities or idioms; sometimes is short but with a high translation probability, as in translating verbs or pronouns.
we take a harsh step and constrain the nodes in hidden layer to have a in-degree of two, which means each hidden node only accepts inputs from two input nodes.