ISJ Theoretical & Applied Science

 

 

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www.T-Science.org       p-ISSN 2308-4944 (print)       e-ISSN 2409-0085 (online)
SOI: 1.1/TAS         DOI: 10.15863/TAS

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ISJ Theoretical & Applied Science 11(91) 2020

Philadelphia, USA

* Scientific Article * Impact Factor 6.630


Rakhmanova, A. A.

The role of parallel text in corpus linguistics.

Full Article: PDF

Scientific Object Identifier: http://s-o-i.org/1.1/TAS-11-91-15

DOI: https://dx.doi.org/10.15863/TAS.2020.11.91.15

Language: English

Citation: Rakhmanova, A. A. (2020). The role of parallel text in corpus linguistics. ISJ Theoretical & Applied Science, 11 (91), 66-70. Soi: http://s-o-i.org/1.1/TAS-11-91-15 Doi: https://dx.doi.org/10.15863/TAS.2020.11.91.15

Pages: 66-70

Published: 30.11.2020

Abstract: This article describes the source of corpus linguistics, the general description of corpus, its incentive as a database, its role in linguistic research and its importance in solving linguistic problems. The role of the national corpus, the author’s corpus, the corpus of parallel texts in solving linguistic problems are analyzed. The investigation of phonetic, lexical, grammatical features of the general stages of language development, the definition of the size of the vocabulary, the role of language in determining the principles of language development are shown. The linguistic importance of the corpus in the study of lexicography, lexicology, syntax, methodology, the role of research in the study of linguodidactics, mother tongue, its place in foreign language education, the role of corpus linguistics methods in the analysis of language issues are discussed and were shown in the article. The importance of grammatical analysis acquisition of computer analysis and demonstrating are played a huge role in the article, to be more concrete, explicit words or concepts that semantically combined with information in a corpus of text, lemmatization, skimming, tokenization processes in computer analysis play an important role in the execution and authority of morpheme analysis.

Key words: corpus, the corpus of texts, the corpus of virtual texts, the corpus of parallel texts, concordance, the corpus of authorship, methodology, creative style, phonetic, lexical, grammatical features, lexicology, lexicography, syntax, kalka, semantic kalka, lemmatization, lemma, skimming, skimmer, tokenization, token.


 

 

 

 

 

 

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