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welcome again to our talks on machine translation this time well cover the approach that dominates the field these days the phrase base-model unlike other approaches the phrase base model is very simple and it requires only parallel text for training and thats definitely one of the reasons that it lies behind the most available empty systems here is a little recap what weve covered so far we know how important input pre-processing is and we know how to evaluate machine translation may manually or automatically we also know where to gather power training data from and how to align it at a level of sentences or individual words so were ready to delve into individual approaches and well start with direct phrase based machine translation the phrase base model assumes that a given sentence can be translated by breaking it into a few pieces and translating each of them independently lets have a look at this example horn is arc on Oprah waving Shekinah rostehobro hot stream heres the