Ways of Automatic Identification of Words Belonging to Semantic Field

Zakharov, Victor

doi:10.2478/jazcas-2019-0054

Abstract

The paper presents results of the ongoing research on creation of the semantic field of the “empire” concept. A semantic field is a collection of content units covering a certain area of human experience and forming a relatively autonomous microsystem with one or several centers. Relations in such microsystems are also called associations. The idea is to extract from data on syntagmatic collocability a set of lexical units connected by systemic paradigmatic relations of various types and strength using distributional analysis techniques. The first goal of the study is to develop methodology to fill a semantic field with lexical units on the basis of morphologically tagged corpora. We were using the Sketch Engine corpus system that implements the method of distributional statistical analysis. Text material is represented by our own corpora in the domain of “empire”. In the course of the work we have acquired lists of items filling the semantic space around the concept of “empire”.

References

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Ways of Automatic Identification of Words Belonging to Semantic Field

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