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Improving Bilingual Projections via Sparse Covariance Matrices

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Figure

Figure 1: Accuracy of CCA and our sparsified versionwith the noise parameter.
Figure 2: Comparison of the word association measuresalong with different selection criteria
Figure 3: Comparison of Yule+Match and Dictionary+Match combination with different levels of sparsity for thecovariance matrices
Table 1: Performance of our models in comparison with CCA and OPCA on English-Spanish and English-Germanlanguage pairs.When an improvement is significant at ∗ and + indicate statistical significance measured by paired t-test at p=0.01 and 0.05 levels respect

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