Issue |
SHS Web Conf.
Volume 50, 2018
The International Scientific and Practical Conference “Current Issues of Linguistics and Didactics: The Interdisciplinary Approach in Humanities and Social Sciences” (CILDIAH-2018)
|
|
---|---|---|
Article Number | 01193 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/shsconf/20185001193 | |
Published online | 12 October 2018 |
Textual Deepness and Its Representation
Department of English Philology, Volgograd State University, 400062, pr. Universitetskiy 100, Volgograd, Russia
* Corresponding author: olgaval@volsu.ru
The article deals with the textual interpretability and deepness as an objective existing category typical of all textual genres and potentially enabling to classify texts according to their genre belongings and specificity. The proposed operational model of textual deepness is viewed as a universal scheme for textual analysis and characterizes textual deepness as gradual in its nature which discloses the ambiguity or unambiguity of text contents. The texts of different genres are characterized from the standpoint of the language peculiarities and possible formal elements assisting to undergo the procedure on interpretation. In accordance with the proposed operational model of textual deepness, texts are classified into mono-interpretable and multi-interpretable ones with a number of interpretive steps to be introduced while decoding and restoring the textual sense. The number of interpretive steps is predetermined by a genre with its distinctive features. The textual deepness is correlated with a number of genre specific features such as writer’s personalization or depersonalization, textual imperativeness and metaphoric richness as well as other prototypical features that organise texts of different genres. The restoration of textual sense is either full or probable. The operational model of deepness is an open system for the further levels to be established.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.