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2. Александрова З.Е. Словарь синонимов руского языка // М. Русский язык. 2001 г. 568 с.  3.  Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean. Efficient Estimation of Word Representations in Vector Space. arXiv:1301.3781v3 [cs.CL] 7 Sep 2013  4.  Yoav Goldberg and Omer Levy. word2vec Explained: Deriving Mikolov et al.’sNegative-Sampling Word-Embedding Method arXiv:1402.3722v1 [cs.CL] 15 Feb 2014. Pp. 1 -- 5.  5.  Eric H. Huang, Richard Socher, Christopher D. Manning, Andrew Y. Ng. Improving Word Representations via Global Context and Multiple Word Prototypes  6.  Sridhar Mahadevan, Sarath Chandar. Reasoning about Linguistic Regularities in Word Embeddings using Matrix ManifoldsarXiv:1507.07636v1 [cs.CL] 28 Jul 2015. Pp. 1 -- 9. 7.  Omer Levy, Yoav Goldberg, Ido Dagan. Improving Distributional Similarity with Lessons Learned from Word Embeddings. Transactions of the Association for Computational Linguistics, vol. 3, pp. 211–225, 2015.   8.  G. Sidorov, A. Gelbukh, H. Gomez-Adorno, D. Pinto Soft Similarity and Soft Cosine Measure: Similarity of Features in Vector Space Model // Computación y Sistemas Vol. 18, No. 3, 2014 pp. 491–504