Proceedings of the International Scientific Conference “Digitalization of Education: History, Trends and Prospects” (DETP 2020)

Text Generation Strategies for the Future of Digitalization of Experimental Data

Authors
T.A. Gridina
Corresponding Author
T.A. Gridina
Available Online 13 May 2020.
DOI
10.2991/assehr.k.200509.019How to use a DOI?
Keywords
speech activity, psycholinguistic experiment, text, digitalization, creativity
Abstract

The article substantiates the possibility of using a psycholinguistic experiment to analyze text generation strategies as an integral component of speech activity. The experiment is based on the techniques presented in the structure of the method of probabilistic forecasting and adapted by the author of the article to the research tasks. A step-by-step procedure has been developed to supplement the sentence based on a set of stimulus word forms with subsequent use by the respondents of the obtained experimental “sample” to create text. The hypothesis was verified, according to which the grammatical form of a word is fixed in consciousness not in isolation, but with typical contexts of its use, which determines the linguocognitive conditionality of speech production strategies. According to the experiment, definitional and syntagmatic strategies based on the same presuppositions, but transmitting different forms of linguistic processing of information relevant to the speaker, are distinguished as the leading strategies for completing the utterance and generation of text. The influence of the stimulus word form on the character of the design of thought and the syntactic organization of the utterance is established. The definitional strategy, which is correlated with the initial form of the word, unfolds (describes) a certain gestalt, revealing typical vectors of the conceptual content of the verbal stimulus as static fragments. The syntagmatic strategy of understanding word forms actualizes scenario presuppositions representing the concept in dynamics. The linguo-creative component is recognized as a special vector of textual competence, which makes it possible to apply the proposed experimental procedure for text generation and as a training resource, which to a large extent contributes to the spontaneously arising, and / or specially set installation for a language game, which requires a conscious switching of associative stereotypes. The individual associative processing of typical presuppositions associated with the use of words in text projection creates broad prospects for speech writing. The identified text generation strategies can become the main one for creating digital versions of programming typical sentences on a given topic both for the purpose of teaching the Russian language (including foreign) in school and university practice, and for the purpose of diagnosing stereotyping or originality of texts functioning in the space of modern communication.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Scientific Conference “Digitalization of Education: History, Trends and Prospects” (DETP 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
13 May 2020
ISBN
10.2991/assehr.k.200509.019
ISSN
2352-5398
DOI
10.2991/assehr.k.200509.019How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - T.A. Gridina
PY  - 2020
DA  - 2020/05/13
TI  - Text Generation Strategies for the Future of Digitalization of Experimental Data
BT  - Proceedings of the International Scientific Conference “Digitalization of Education: History, Trends and Prospects” (DETP 2020)
PB  - Atlantis Press
SP  - 103
EP  - 107
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200509.019
DO  - 10.2991/assehr.k.200509.019
ID  - Gridina2020
ER  -