Using Lexical and Syntactical Patterns for Generating Reviews in Russian Language

Student: Provatorova Vera

Supervisor: Ekaterina Artemova

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Final Grade: 8

Year of Graduation: 2016

This project is dedicated to developing an automated generator of customer reviews in Russian language based on lexical and syntactical patterns. The purpose of the project is to create an algorithm of Russian text generation using a rule-based approach and compare its performance to the standard text generation algorithm based on Markov chains. Customer reviews have been chosen for the research due to their relatively simple structural and lexical patterns and the wide availability of free text sources to use as a training set for the machine learning techniques. The advantage of the approach presented is the decreased rate of grammar rules violations in comparison to machine learning techniques of text generation. Keywords: Natural Language Generation, Lexical and Syntactical Patterns, Markov Chains

Full text (added May 29, 2016)

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