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What is Hidden among Translation Rules
2013
Conference on Empirical Methods in Natural Language Processing
Most of the machine translation systems rely on a large set of translation rules. These rules are treated as discrete and independent events. In this short paper, we propose a novel method to model rules as observed generation output of a compact hidden model, which leads to better generalization capability. We present a preliminary generative model to test this idea. Experimental results show about one point improvement on TER-BLEU over a strong baseline in Chinese-to-English translation.
dblp:conf/emnlp/ShenZ13
fatcat:mgl6fxg27zh3bimdhrdsq43hpm