• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Daria Sinitsyna
Automated Essay Scoring
Fundamental and Applied Linguistics
(Bachelor’s programme)
2018
The way in which computers can be applicable to essay scoring to simplify the process of grading a large amount of student written works has been of growing research interest since the end of the 20th century. Automated essay scoring (AES) is defined as the computer technology that evaluates and scores written prose. Increasing attention to AES has resulted from various factors, among which are cost, standards, and technology, as the advance of IT promises to ease and reduce the cost of the process of grading educational achievements in some spheres.

The purpose of this study was to implement natural language processing tools and machine learning for the creation of an automated essay scoring algorithm for the Russian language. It looked in particular at 213 human graded essays written by the last year high school students for the Unified State Exam, that have been automatically collected and processed in order to retrieve language features, which represent the given score, such as the usage of various parts of speech or lack of tautology. Several machine learning algorithms were implemented, including Linear Regression and such classifiers as Decision Trees, Naïve Bayes, kNN and ensemble methods, AdaBoost and Gradient Boosting.

The research achieved its goal to discover the algorithm for the automated essay grading. The ensemble model Gradient Boosting was chosen as the most efficient with its f-score of 85%. The results would only be the first step in the exploration of the AES for the Russian language. The features extracted for this research would assist the further study in this field as a basis.

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses