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The purpose of the research is to answer the question whether linguistic information is retained in vector representations of sentences. We introduce a method of analysing the content of sentence embeddings based on universal probing tasks, along with the classification datasets for two contrasting languages. We perform a series of probing and downstream experiments with different types of sentence embeddings, followed by a thorough analysis of the experimental results. Aside from dependencydoi:10.18653/v1/p19-1573 dblp:conf/acl/Krasnowska-Kieras19 fatcat:5kwxe5f3urfehhmlk7u6d3tbpe