Integrity of the Text as a Factor of the Information Message of Pupils
Sergei Vasilievich Yurtaev
Issue:
Volume 6, Issue 1, June 2021
Pages:
1-8
Received:
14 April 2021
Accepted:
30 April 2021
Published:
30 June 2021
Abstract: The purpose of the study, the results of which are presented in this article, was to prove the position that the integrity of the text is a factor in the speech message of schoolchildren. Achievement of this goal became possible through the solution of tasks, which are reduced to the definition of the text, its main features, to the conduct of a pedagogical experiment. The pedagogical experiment involved the collection, quantitative and qualitative processing of essays about a case from life. Such compositions have undergone quantitative and qualitative processing over time, over the course of five years. The temporal analytical approach made it possible to identify the changeable and transient, permanent signs of the speech message of schoolchildren. In the article, the integrity of the text is defined as a feature associated with the location of the nominative forms (sp). The author of the article divides these forms into nominative monosemantic grammatical forms (NMGF) and nominative polysemantic grammatical forms (NPGF). He describes the arrangement of these forms, noticed by him in the process of expressing thoughts by the same schoolchildren at the age of eleven or sixteen. The location of the forms, noticed by the researcher. are subject to grouping, since they are transitory, repetitive. This nature was the reason for the selection of their three groups of location. NMGF, NPGF can be located contact-distant, contact, distant, creating conditions for other text-forming features. According to the author of the article, the adjacent text-forming potential of the differentiated dissemination of the integrity of the text affects the dissemination of information, its volume in interconnected predicative units, and the designation of the declared information.
Abstract: The purpose of the study, the results of which are presented in this article, was to prove the position that the integrity of the text is a factor in the speech message of schoolchildren. Achievement of this goal became possible through the solution of tasks, which are reduced to the definition of the text, its main features, to the conduct of a pe...
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Assisting Access to COVID-19 Information Through Deep Learning Based Machine Translation: Attention Mechanism Via Bidirectional GRU
Issue:
Volume 6, Issue 1, June 2021
Pages:
9-15
Received:
13 September 2021
Accepted:
29 September 2021
Published:
12 October 2021
Abstract: Due to the recent COVID-19 crisis, there is an increasing need for effective communication and sharing of information internationally in various fields. One of the obstacles that these needs face are language: In texts such as COVID-19 related research, currently existing machine translations which are effective in normal texts because they are trained with normal-context data are often inaccurate, and manual translation is slow and laboursome. So, the exchange of information is being delayed. To overcome this language barrier, this project aimed to create a model that is effective for translating COVID-19 crisis related data specifically. In the research, there are two models created: one is trained with TAUS English-French Corona Crisis Corpus, and another used transfer learning by Kaggle English-French corpus and then trained with TAUS corpus. The model consisted of four bidirectional GRU layers, and used rmsprop as optimizer. The project evaluated the model using the BLEU score. The first model had a higher BLEU score than the second model, supporting the hypothesis that loosely related datasets decrease the quality of translation. In further research, evaluation on this model on different language pairs and use datasets in other specific fields will be conducted.
Abstract: Due to the recent COVID-19 crisis, there is an increasing need for effective communication and sharing of information internationally in various fields. One of the obstacles that these needs face are language: In texts such as COVID-19 related research, currently existing machine translations which are effective in normal texts because they are tra...
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