In this paper, we propose to enhance the phrase translation model with association measures as new feature functions. These features are estimated on counts of phrase pair co-occurrence and their marginal counts. Four feature functions, namely, Dice coefficient, log-likelihood-ratio, hyper-geometric distribution and link probability are exploited and compared. Experimental results demonstrate that the performance of the phrase translation model can be improved by enhancing it with these

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... ion based feature functions. Moreover, we study the correlation between the features to predict the usefulness of a new association feature given the existing features.