Learning Cross-lingual Word Embeddings via Matrix Co-factorization

  title={Learning Cross-lingual Word Embeddings via Matrix Co-factorization},
  author={Tianze Shi and Zhiyuan Liu and Yang Liu and Maosong Sun},
A joint-space model for cross-lingual distributed representations generalizes language-invariant semantic features. In this paper, we present a matrix cofactorization framework for learning cross-lingual word embeddings. We explicitly define monolingual training objectives in the form of matrix decomposition, and induce cross-lingual constraints for simultaneously factorizing monolingual matrices. The cross-lingual constraints can be derived from parallel corpora, with or without word… CONTINUE READING
Highly Cited
This paper has 40 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 30 extracted citations

Similar Papers

Loading similar papers…