Results 11 to 20 of about 12,647,321 (340)

DEXIS IN SCIENTIFIC TEXTS

open access: yes
This article discusses the concept of dexis in scientific texts. Dexis, also known as deixis, refers to words and phrases that point to time, place, or person, and its use is different in scientific writing compared to spoken or informal language. In scientific texts, the use of dexis is more limited and often carefully controlled.
Alikulova, Shaxnoza, Shaxnoza Alikulova
openaire   +3 more sources

INNER DIALOGICITY OF MEDICAL SCIENTIFIC TEXTS

open access: yesВестник Волгоградского государственного университета: Серия 2. Языкознание, 2015
The author studies inner dialogicity as an integral property of a scientist's thinking activity, a way of a scientific idea development, one of the cognitive and discursive mechanisms of new knowledge formation, its crystallization and dementalisation in
Efremova Nataliya Vladimirovna
doaj   +2 more sources

Language Use: A study on the Differences Between Scientific Texts, Non-Scientific Texts and Oral Expression

open access: yesInternational Journal of Language and Education Research
There are differences between language use in scientific context and its use in the context of oral communication. While some sentence structures, expressions and words are frequently used in scientific writings and expressions, they are used less in daily written and spoken language. In this study, an attempt was made to reach a conclusion by scanning
Fakiroğlu, Osman, Tayfun
openaire   +5 more sources

Clichén in Scientific Texts

open access: yes
The scientific discourse, essentially, serves as a mechanism for conveying highly complex concepts and conclusions, and its effectiveness undoubtedly depends on the adaptation of precise language. However, it is worth noting that a significant abundance of clichéd vocabulary, regularly encountered in scientific texts, jeopardizes the clarity, accuracy,
Shlenova, Maryna
openaire   +2 more sources

Information Potential of a Corpus of Scientific Texts [PDF]

open access: yesInformaciâ i Innovacii
The article considers publicly available corpus of texts presented in the internet, characterises and considers the potential of corpus linguistics for analysing the development of scientific trends, discourse and changes in the field of terminology.
V. N. Komaritsa
doaj   +2 more sources

TERMinator: A system for scientific texts processing

open access: yesCoRR, 2022
This paper is devoted to the extraction of entities and semantic relations between them from scientific texts, where we consider scientific terms as entities. In this paper, we present a dataset that includes annotations for two tasks and develop a system called TERMinator for the study of the influence of language models on term recognition and ...
Elena Bruches   +3 more
openaire   +4 more sources

Scientific abstracts: Texts, contexts, and subtexts [PDF]

open access: yesEuropean Science Editing, 2022
In their 4000-year history, abstracts have taken several forms and represented a variety of documents. The scientific journal emerged in the 1600s and gave rise to what would become the modern scientific abstract.
Thomas A. Lang
doaj   +3 more sources

Patterns of text reuse in a scientific corpus [PDF]

open access: yesProceedings of the National Academy of Sciences, 2014
Significance In the modern electronic format it is both easier to reuse text and easier to detect reused text. This is the first comprehensive study of patterns of text reuse within the full texts of an important large scientific corpus, covering a 20-y timeframe.
Daniel T. Citron, Paul Ginsparg
openaire   +5 more sources

Specifics of Translation of Scientific and Technical Texts [PDF]

open access: yes, 2022
This article touches upon the problems of translation of scientific and technical texts. Features, similarities and differences of English and Russian scientific and technical literature are given.
Suxrobovna, Nasrullayeva Tozagul   +1 more
core   +1 more source

Keyphrase generation for the Russian-language scientific texts using mT5

open access: yesModeling and Analysis of Information Systems, 2023
In this work, we applied the multilingual text-to-text transformer (mT5) to the task of keyphrase generation for Russian scientific texts using the Keyphrases CS&Math Russian corpus.
A. Glazkova   +3 more
semanticscholar   +1 more source

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