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Exploring Semantic Fields With Formal Concept Analysis

Student: Eduard Tulchinskii

Supervisor: Sergei Obiedkov

Faculty: Faculty of Computer Science

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Final Grade: 8

Year of Graduation: 2019

Human languages can widely vary, but beyond these differences much similarity may be found. One of the fields that studies cross-language generalizations and compares languages according to their functionality features and structure is linguistic typology. The part of linguistic typology which works with particular words and their meanings is called lexical typology. The primary notion there is that of a semantic field, which is a set of words sharing certain aspects in meaning. One of the ways to analyze it is the so-called frame approach, according to which for every semantic field there is a set of frames (or minimal meanings) such that the meaning of each word in the field can be represented as a number of frames. The problem of identifying a relatively small set of frames consistent with linguistic reality may be hard due to the need to analyze a large amount of data. This work aimed at making an instrument for automated construction of frames set for a given semantic field. To achieve this goal, methods of Formal Concept Analysis were used. As it was hypothesized in the research, frames can be precisely approximated by formal concepts in a formal context, corresponds to the semantic field. Based on this assumption, number of methods for finding frame-related formal concepts were proposed. By analyzing the results of conducted experiments, from these methods the most accurate were chosen, and, using them, an algorithm for automated construction of frames set for a given semantic field was introduced.

Full text (added May 19, 2019)

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