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Translation of Modal Verbs in Media Texts

Corpus-Based Approach

Bibliographic Data

ID22039376
AuthorsYana A Volkova (0000-0003-1456-5881, Peoples' Friendship University of Russia), Andrey S Korzin (0000-0003-2441-7954, Peoples' Friendship University of Russia), Анна Дмитриевна Урюпина (0000-0002-8475-615X, Peoples' Friendship University of Russia)
Year2023
Volume12
Issue4
Pages27-48
Publication date2023-05-28
Open AccessYes
TypeARTICLE
VenueNauchnyi Dialog (JOURNAL)
Journal identifiersISSN: 2225-756X • E-ISSN: 2227-1295
PublisherOOO Centr naucnyh i obrazovatelnyh proektov (PUBLISHER)
DOI10.24224/2227-1295-2023-12-4-27-48
OpenAlexW4381569715
LanguageEN
References cited19

The main modal verbs of the English language ( can, could, may, must, should, need, will, would ) in media texts have been studied, namely the ways of their translation into Russian. Using the method of continuous sampling, 50 concordances were selected and analyzed for each of the 8 modal verbs. The material of the study was examples in the field of journalism from the National Corpus of the Russian Language, namely, a parallel subcorpus composed of original texts and their translations. Additionally, a ranking was carried out according to the frequency of modal verbs in the parallel corpus NKRYA (language pair Russian-English) and the English web corpus WebCorp. When comparing, the absolute frequencies of modal verbs were used, since the first corpus is static, and the second is dynamic (replenished daily). The need to supplement the parallel corpus was revealed, since the sorting results were not identical. Based on the analysis of translation transformations, the following was found: literal translation, grammatical substitutions and omission were most often used in the translation of modal verbs in media texts. It has been established that impersonal constructions were often used, and modality was transmitted using linguistic means of another level

Linguistics · Literal translation · Machine translation · Modal · Modal verb · Natural language processing · Parallel corpora · Source text · Verb · Computer Science · Lexicography and Language Studies · linguistics and terminology studies · Philosophy · Translation Studies and Practices · Artificial Intelligence

  • Epistemic and non-epistemic modals

    Open Access•Victoria Martín De La Rosa, Elena Domínguez Romero•Journal of Pragmatics•2021

Highly citedNo

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