A PHRASE TO PHRASE JOINT PROBABILITY MODEL FOR STATISTICAL MACHINE TRANSLATION

摘要

A machine translation (MT) system may utilize a phrase-based joint probability model The model may be used to generate source and target language sentences simultaneously In an embodiment, the model may learn phrase-to-phrase alignments from word-to-word alignments generated by a word-to-word statistical MT system The system may utilize the joint probability model for both source-to-target and target-to-source translation applications