scholarly journals LINGUISTIC ASPECTS OF ONTOLOGY-BASED ARGUMENTATION STUDY

2020 ◽  
Author(s):  
И.С. Кононенко ◽  
И.Р. Ахмадеева ◽  
Е.А. Сидорова
Keyword(s):  
Popular Science ◽  
Russian Language ◽  
Annotation Scheme ◽  
Science Texts ◽  
Argumentation Study

Обсуждаются вопросы аннотирования корпуса русскоязычных научно-популярных текстов. Особое внимание уделяется схеме разметки, в которой предметом аннотирования являются не только прагматические и семантические аспекты аргументации, но и лингвистические индикаторы аргументации. Предлагается представление индикаторов в виде лексических и лексико-грамматических шаблонов, которые автоматически формируются по размеченному фрагменту текста, а затем при необходимости уточняются экспертом вручную по результатам поиска в корпусе текстов и анализа всех соответствующих фрагментов. Полученный словарь индикаторов используется для поиска и автоматического выделения индикаторов аргументации в неразмеченном тексте. Annotation of the corpus of Russian-language popular science texts is discussed. Particular attention is paid to the annotation scheme, in which the objects of annotation are not only pragmatic and semantic aspects of argumentation, but also their linguistic indicators. The presentation of argumentation indicators in the form of lexical and lexical-grammatical patterns is proposed, which are automatically generated from a marked-up fragment of text, and then, if necessary, are manually specified by an expert based on the results of a search in the corpus and analysis of all relevant fragments. The resulting dictionary of indicators is used to search and automatically highlight indicators of argumentation in unannotated text.

scholarly journals Research platform for the study of argumentation in popular science discourse

2020 ◽  
Vol 10 (4) ◽  
pp. 489-502
Author(s):  
E.A. Sidorova ◽  
◽  
I.R. Akhmadeeva ◽  
Yu.A. Zagorulko ◽  
A.S. Sery ◽  
...  
Keyword(s):  
Popular Science ◽  
Russian Language ◽  
The Body ◽  
Science Texts ◽  
Science Discourse ◽  
Text Corpora ◽  
Research Platform ◽  
Analytical Tools ◽  
Web Platform ◽  
Selection Of

The paper discusses a software system designed to support the study of argumentation in Russian-language popular science texts. This system is based on an ontology built on modern principles of argumentation modeling. In particular, this ontology contains formal descriptions of typical reasoning schemes that are used for annotating texts, analyzing the arguments presented in them, and assessment of its persuasiveness relative to a given audience. A method of argumentative marking of a text is proposed, which provides the allocation of statements and the construction on their basis of an argumentation graph using knowledge about typical reasoning schemes. The paper also describes a set of web tools that provide the creation of thematic corpora, visualization of the argumentation ontology used, the construction of the argumentation graph, the selection of argumentation indicators in the texts, as well as the search for various entities in the text corpora in ontology terms. Analytical tools are presented by means of collecting statistical information on the occurrence of typical elements of argumentation in the body of texts, by means of researching indicators of argumentation and by means of analyzing the persuasiveness of argumentation. The novelty of the work consists in the development of an original methodology for studying argumentation in popular science discourse, based on the ontology of argumentation and supported by a specialized web platform.

scholarly journals The status and methodological interpretation of terminological phraseological units in scientific technical texts

2021 ◽  
Vol 273 ◽  
pp. 11005
Author(s):  
Оlga Nikolenko ◽  
Elena Shapovalova
Keyword(s):  
Scientific Information ◽  
Popular Science ◽  
Russian Language ◽  
Special Role ◽  
Scientific Texts ◽  
Science Texts ◽  
Functional Capabilities ◽  
Key Points ◽  
The Status ◽  
Scientific Technical

The article reveals the problem of the status of terminological phraseological units as meaning-forming units of popular science texts of mechanical engineering, which is relevant for the modern methodology of the Russian language as a foreign language, their functional capabilities are being determined that let them to participate in the structuring of speech images and transmit subjective intentions through speech impact. The authors develop the idea that phraseological units are conventional means of creating imagery with a certain amount of preserving their internal form, and they prove that scientific phraseological units, increasing the speech emotionality, play a special role in the implementation of suggestions and pragmatic goals of communication, because they contain the amount of scientific information, much more rather than in options without them. All this explains the using of phraseological units in both spoken language and written scientific texts: thanks to these formal shells, the authors focus the attention of their recipients on the key points of the study. Due to intentionality, phraseological units are the means of worldview objectification of their addressee.

scholarly journals IDENTIFICATION OF ARGUMENTATIVE RELATIONS IN POPULAR SCIENCE TEXTS

2020 ◽  
Author(s):  
Natalia Vasilievna Salomatina ◽  
◽  
Irina Semenovna Kononenko ◽  
Elena Anatolvna Sidorova ◽  
Ivan Sergeevich Pimenov ◽  
...  
Keyword(s):  
Topic Model ◽  
Topic Models ◽  
Popular Science ◽  
Automatic Recognition ◽  
Scan Statistics ◽  
Science Texts

The presented work describes the analysis of argumentative statements included into the same text topic fragment as a recognition feature in terms of its efficiency. This study is performed with the purpose of using this feature in automatic recognition of argumentative structures presented in the popular science texts written in Russian. The topic model of a text is constructed based on superphrasal units (text fragments united by one topic) that are identified by detecting clusters of words and word-combinations with the use of scan statistics. Potential relations, extracted from topic models, are verified through the use of texts with manually annotated argumentation structures. The comparison between potential (based on topic models) and manually constructed relations is performed automatically. Macro-average scores of precision and recall are equal to 48.6% and 76.2% correspondingly.

scholarly journals FOREIGN WORDS: ON THE ISSUES OF FUNCTIONING AND TRANSLATION

2020 ◽  
Vol 1 (10(78)) ◽  
pp. 62-65
Author(s):  
Olga Grynko
Keyword(s):  
Popular Science ◽  
Target Language ◽  
Original Text ◽  
Relevant Feature ◽  
Science Texts ◽  
Foreign Word ◽  
Stylistic Device ◽  
Individual Style

When used in the texts, foreign words often function as a stylistic device and become a relevant feature of the author’s individual style. The article looks at the issues of functioning and translation of foreign words with the focus on those not being “adapted”, that is preserving its original “foreign” form (unlike those being transcribed without morphological and syntactical changes). The work systematizes the ways these elements are introduced into the original text. It shows they can either be introduced with no explanation, relying on the reader’s general expertise and creating certain environment, flavour etc. or be accompanied by any kind of their meaning’s explanation). The article also offers the insights into the key functions of the foreign words in popular-science texts (specifically, they make the text sound more authentic and documentary, and also display author’s intelligence and competence). Further, the research finalizes the classification of the ways to translate/render the foreign words in the translated text in the view of the genre peculiarities of popular-science texts. Among other ways, such as preserving a foreign word with a translation of the author’s comment, transcription/transliteration, translator’s comments, actual translation into the target language, etc., such texts allow for science editor’s comments in translation.

scholarly journals LEXICAL-SEMANTIC FEATURES OF THE TRANSLATION OF POPULAR SCIENCE TEXTS

2020 ◽  
Vol 1 (80) ◽  
Author(s):  
Yu. O. Babyatinskaya ◽  
I. N. Hroza ◽  
K. S. Guseinova
Keyword(s):  
Popular Science ◽  
Semantic Features ◽  
Science Texts ◽  
Lexical Semantic

scholarly journals O TEXTO DE DIVULGAÇÃO CIENTÍFICA NA ABORDAGEM DA SOCIOLOGIA DA CIÊNCIA: UM ESTUDO DA REVISTA MINAS FAZ CIÊNCIA / THE POPULAR SCIENCE TEXTS IN THE SOCIOLOGY OF SCIENCE APPROACH: A STUDY OF THE MINAS FAZ CIÊNCIA MAGAZINE

2019 ◽  
Vol 25 (2) ◽  
pp. 152
Author(s):  
Gabriela Belini Gontijo ◽  
Jane Raquel Silva de Oliveira
Keyword(s):  
Sociology Of Science ◽  
Popular Science ◽  
Bruno Latour ◽  
Science Texts ◽  
Science Approach

O objetivo deste trabalho foi analisar características da sociologia da ciência em textos de divulgação científica da Minas faz Ciência, uma revista brasileira publicada por uma agência estadual de apoio à pesquisa científica. Foram selecionados doze textos dessa revista, os quais continham informações sobre a o percurso adotado pelo cientista para o desenvolvimento de sua pesquisa. Os textos selecionados foram analisados por meio da Análise Textual Discursiva, adotando-se como referenciais teóricos estudos sobre sociologia da ciência de Bruno Latour. Nas análises, identificamos as seguintes características da prática da ciência: aspectos persuasivos na ciência; ciência como construção coletiva; influência de fatores externos na construção dos fatos; dinâmica de trabalho do pesquisador; e o ciclo de credibilidade na ciência. Os resultados evidenciam que tais textos podem ser usados para abordagem de aspectos da sociologia da ciência em sala de aula.

scholarly journals GENRE INDUCTION FROM A LINGUISTIC APPROACH

2017 ◽  
Vol 6 (2) ◽  
pp. 319
Author(s):  
Angvarrah Lieungnapar ◽  
Richard Watson Todd ◽  
Wannapa Trakulkasemsuk
Keyword(s):  
Cluster Analysis ◽  
Computer Programs ◽  
Popular Science ◽  
Linguistic Features ◽  
Test Set ◽  
Science Texts ◽  
Functional Relations ◽  
Text Types ◽  
Key Features ◽  
Linguistic Approach

In most current work on genre, a set of genre categories needs to be predetermined. However, there are some cases where such predetermined genres cannot be clearly identified. Popular science, for instance, is a broad register carrying several specific purposes within it, suggesting that there are several genres of popular science, but it is unclear what these genres are. This paper introduces a linguistic approach to reveal hidden genres. For 600 written popular science texts from a variety of sources and disciplines, linguistic features were analysed using a range of computer programs and a cluster analysis conducted. The analysis produced four clusters with shared linguistic features, representing text types. The association of these text types with key features, functional relations, dominant sources, and prototypical members of each cluster helps us to induce genres on the basis of communicative purposes, a traditional criterion in identifying genres. Whether the produced text types are equivalent to genres was evaluated with a test set of data. The proposed approach achieves more than 70 % accuracy. The approach appears applicable for identifying genres of popular science and has pedagogical implications.

scholarly journals Influence of photography on students’ perception of electronic popular science text

2021 ◽  
pp. e021025
Author(s):  
Natalia Igorevna Khristoforova
Keyword(s):  
Popular Science ◽  
Information Network ◽  
Science Text ◽  
Science Texts ◽  
Internet Technologies ◽  
Modern Computer ◽  
Advanced Technologies ◽  
Computer Technologies ◽  
The Impact

The present article analyzes the relevance of the combination of the verbal and non-verbal components of popular science text and the role of computer technologies and the global information network Internet in creating texts of this type. The author conducts a study to assess the impact of Internet technologies on the process of creating electronic popular science text in an attempt to determine the most promising technologies used in this process. The author concludes that the most advanced technologies have to be used in creating a popular science text. It is noted that the Internet era opens up new opportunities for creating popular science texts, however, the most effective way to create popular science texts combines verbal and non-verbal means (primarily photographs) and modern computer technologies. An important aspect of popular science text is a trend towards the reduction in volume which is achieved through photographs often replacing lengthy descriptions and explanations. Considering the polysemantic nature of photography and the stabilizing function of a text in relation to an image, an approach to the consideration of verbal and visual components in the framework of popular science text is proposed.

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