Cross-lingual Models of Word Embeddings: An Empirical Comparison

@article{Upadhyay2016CrosslingualMO,
  title={Cross-lingual Models of Word Embeddings: An Empirical Comparison},
  author={Shyam Upadhyay and Manaal Faruqui and Chris Dyer and D. Roth},
  journal={ArXiv},
  year={2016},
  volume={abs/1604.00425}
}
  • Shyam Upadhyay, Manaal Faruqui, +1 author D. Roth
  • Published 2016
  • Computer Science
  • ArXiv
  • Despite interest in using cross-lingual knowledge to learn word embeddings for various tasks, a systematic comparison of the possible approaches is lacking in the literature. [...] Key Result We show that models which require expensive cross-lingual knowledge almost always perform better, but cheaply supervised models often prove competitive on certain tasks.Expand Abstract
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