Linguistic corpuses as a digital means of comparative analyses of size adjectives (on basis of English and Tatar)

DOI

10.2991/mtde-19.2019.165How to use a DOI?

Keywords

size adjective, frequency, synonyms

Abstract

The article is devoted to demonstrate how digital means are used in linguistic comparative analyses. The research is proved to be actual because size adjectives help to understand naïve language pictures of the world. The purpose of the article is to reveal differences in functioning size adjectives in English and Tatar. The methods of digital quantative analysis and a descriptive method were used. The sources for the collection and systematization of linguistic material were British National Corpus (https://www.english-corpora.org/bnc/) and Tatar National Corpus (http://web-corpora.net/TatarCorpus/search/). The research is carried out in line with those linguistic works where the idea of using statistic data is developed. The most frequent size adjective in Tatar is the adjective zur, the most frequent size adjective in English is the adjective little. The size adjectives thick / yuan have the same frequency in both languages. In Tatar the size adjectives ozyn and kechkene have the same frequency. In English size adjectives long-high-wide are distributed with different frequencies. When analyzing quantitative data using digital means of linguistic corpuses, it is necessary: first, to take into account the combining potential; secondly, to take into account synonyms.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - G.F. Lutfullina
AU  - G.Z. Gilyazieva
PY  - 2019/05
DA  - 2019/05
TI  - Linguistic corpuses as a digital means of comparative analyses of size adjectives (on basis of English and Tatar)
BT  - Proceedings of the 1st International Scientific Conference "Modern Management Trends and the Digital Economy: from Regional Development to Global Economic Growth" (MTDE 2019)
PB  - Atlantis Press
SP  - 805
EP  - 809
SN  - 2352-5428
UR  - https://doi.org/10.2991/mtde-19.2019.165
DO  - 10.2991/mtde-19.2019.165
ID  - Lutfullina2019/05
ER  -