Cross-lingual Word Analogies using Linear Transformations between Semantic Spaces

@article{Brychcin2019CrosslingualWA,
  title={Cross-lingual Word Analogies using Linear Transformations between Semantic Spaces},
  author={Tomas Brychcin and S. Taylor and Luk{\'a}s Svoboda},
  journal={Expert Syst. Appl.},
  year={2019},
  volume={135},
  pages={287-295}
}
Abstract The ability to represent the meaning of words is one of the core parts of natural language understanding (NLU), with applications ranging across machine translation, summarization, question answering, information retrieval, etc. The need for reasoning in multilingual contexts and transferring knowledge in cross-lingual systems has given rise to cross-lingual semantic spaces, which learn representations of words across different languages. With growing attention to cross-lingual… Expand
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