We assume that the same is true for cross-lingual embeddings, and use their recommended settings across all algorithms (where applicable).
we used 500 dimensions for every algorithm, context distribution smoothing with α = 0.75 (applicable to BilBOWA and BWE-SkipGram), the symmetric version of SVD (applicable to Inverted Index), and run iterative algorithms for 100 epochs to ensure convergence (applicable to all algorithms except Inverted Index).