Documents

The paper presents the results of the ongoing research on creating the semantic field of empire. A semantic field is a collection of words and word combinations covering a certain area of human experience and forming a relatively autonomous microsystem with one or several centres. Relations in such microsystems are also called associations. We draw upon data on syntagmatic collocability and distributional analysis techniques to form a set of lexical units connected by systemic paradigmatic relations of various types and strength. We have developed a methodology to fill a semantic field with lexical units based on morphologically tagged corpora and Sketch Engine built-in tools of statistical distributional analysis. Text material is represented by our corpora in the domain of empire. As part of the study, we have retrieved lists of items filling the semantic field of empire. Our research is focused on the concept of empire in different languages; therefore, we also deal with translation equivalents in language pairs.
Original languageEnglish
Title of host publicationR. Piotrowski's Readings in Language Engineering and Applied Linguistics. PRLEAL-2019
Subtitle of host publicationProceedings of the III International Conference
EditorsAndrey Ronzhin, Tatiana Noskova, Alexey Karpov
PublisherRWTH Aahen University
Pages233-244
StatePublished - 2020
Event3rd International Conference on R. Piotrowski's Readings in Language Engineering and Applied Linguistics, PRLEAL 2019 - Saint Petersburg, Russian Federation
Duration: 27 Nov 2019 → …

Publication series

NameCEUR Workshop Proceedings
PublisherRWTH Aahen University
Volume2552
ISSN (Print)1613-0073

Conference

Conference3rd International Conference on R. Piotrowski's Readings in Language Engineering and Applied Linguistics, PRLEAL 2019
Country/TerritoryRussian Federation
CitySaint Petersburg
Period27/11/19 → …

    Scopus subject areas

  • Computer Science(all)

    Research areas

  • Concept of empire, Corpora, Distributional statistical analysis, Distributional thesaurus, Semantic field

ID: 51158723