Exploring Implicit Semantic Constraints for Bilingual Word Embeddings
Exploring Implicit Semantic Constraints for Bilingual Word Embeddings is a scholarly work, published in 2017 in ''Neural Processing Letters''. The main subjects of the publication include statistical machine translation, semantic property, natural language processing, artificial intelligence, exploit, machine translation, word, text simplification, semantic similarity, and computer science. Experimental results on machine translation and cross-lingual document classification demonstrate the effectiveness of the authors' model.