Using Corpus-Based Data To Linguistically Investigate Absolute And Loose Synonyms

Document Type : Primary Research paper


Tashkent University of Information Technologies named after Mukhammad al-Khwarizmi, Foreign Languages Department, Uzbekistan, Yunusabad, Amir Timur str. 108


The first section of the paper aims at examining and comparing pairs of absolute synonymous in terms of their stylistic, syntactical and lexical levels. The expressive resources of a language will not be as useful if it was not for synonyms. Linguistics, in these modern times, is faced with this issue called synonymy. Their most perplexing characteristic is the duality of synonyms. The stylistic features, connotations, and different meanings help to distinguish these words. Synonyms can be categorized into two main types; absolute synonyms and loose synonyms. As absolute synonyms pair belongs to different dialects, they may be persistent in the vocabulary. The synonyms pairs in American English and British English (truck/lorry, elevator/lift, and prison/jail) demonstrate a similar case. It has been established among linguistics of different linguistic origins that the altogether existence of absolute synonyms is questionable or that they rarely occur. The second section of this paper focuses on stylistic, syntactic, and lexical information of five synonyms in English language.
The primary focus of this section is on loose synonyms, i.e. appeal, request, plead, beg, and ask. The two key sources, i.e. concordance lines and dictionaries, were used to derive data to carry out this section. The investigation of absolute synonyms is done with the help of British National Corpus and Corpus of Contemporary American English. Lastly, the field of linguistics can greatly benefit from and depend on a corpus based data to supply it information, as confirmed by the hypothesis used in this section. The corpus-based data appears to be beneficial because it supplies additional information as opposed to dictionaries that lack comprehensive details of the words, for instance collocations or grammatical patterns. Additionally, corpora provide the option to search for more sample sentences of synonyms in case the learner is not clear on the meaning of a certain word.

Volume 12, Issue 3 - Serial Number 3
ICMMNT-2021 International Virtual Conference on Materials, Manufacturing and Nanotechnology, 30th June, 2021.
June 2021
Pages 2886-2899