Automated Lexicon Сonstruction for Mathematics Teaching

Student: Tsareva Mariia

Educational Programme: Fundamental and Computational Linguistics (Bachelor)

Final Grade: 9

Year of Graduation: 2019

In this paper, we intend to define whether the statistical methods that were used in previous studies on terminology extraction are applicable for the task of automatical creation of lexical minimum for RFL teaching The goal of this research is to find the most suitable measure that can rank the expressions that are specific for the mathematical texts and show in the top of the list the most necessary for the acquisition. The expert analysis became a basis for a work that identifies a large number of such units. The next step was to conduct a series of experiments to find the best metrics. Moreover, the developed method allows extracting not only terminology but also language stamps and constructions that are common to the entire mathematical field.

Full text (added June 4, 2019)

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