A Discriminative Latent-Variable Model for Bilingual Lexicon Induction
Sebastian Ruder, Ryan Cotterell, Yova Kementchedjhieva, Anders Søgaard · 2018
We introduce a novel discriminative latentvariable model for the task of bilingual lexicon induction.Our model combines the bipartite matching dictionary prior of Haghighi et al. (2008) with a state-of-the-art embeddingbased approach.To train the model, we derive an efficient Viterbi EM algorithm.We provide empirical improvements on six language pairs under two metrics and show that the prior theoretically and empirically helps to mitigate the hubness problem.We also demonstrate how previous work may be viewed as a similarly fashioned latent-variable model, albeit with a different prior. 1 * The first two authors contributed equally.