MF is also shown to result in good crosslingual representations for tasks such as alignment (Goutte et al., 2004), QA (Zhou et al., 2013), and cross-lingual word embeddings (Shi et al., 2015).
we represent translation as a matrix with source words in the columns and target words in the rows, and model the task of learning translations as a matrix completion problem.