ProAlign combines several different approaches in order to produce high quality word word alignments. Like competitive linking, ProAlign uses a constrained search to find high scoring alignments. Like EM-based methods, a probability model is used to rank possible alignments. The goal of this paper is to give a bird\u2019s eye view of the ProAlign system to encourage discussion and comparison.<\/p>\n","protected":false},"excerpt":{"rendered":"
ProAlign combines several different approaches in order to produce high quality word word alignments. Like competitive linking, ProAlign uses a constrained search to find high scoring alignments. Like EM-based methods, a probability model is used to rank possible alignments. 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