Study of Statistical Regularities in Natural Language Text

Student: Markelova Olga

Supervisor: Evgeny Burovskiy

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Control Systems and Data Processing in Engineering (Master)

Final Grade: 7

Year of Graduation: 2018

The aim of this work is to investigate statistical patterns in natural language texts. I find out whether it is possible to create a workable model of text generation in Russian language using statistical regularities (such as the statistics of the occurrence of words and their compatibility). I propose a statistical model of text generation in Russian language and its software implementation in Python 3. Analysis of the generated text showed that simple syntactic-semantic regularities are not enough to generate a correct text (from the point of view of the Russian language rules). The generated text obeys Zipf's law, but with a large distribution (twice as much as in natural texts).

Full text (added May 15, 2018)

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