In this article we present the algorithms of the automated analysis of metrical, strophic and concordance characteristics of Russian poetic texts, realized in the form of processing software of the poetic texts, which can be an important learning tool for philologists in comprehensive analysis of the poems. The results of the such of analysis will allow to expand essentially the possibilities of the philologists who study as the listed levels of verses, as their semantic and pragmatic characteristics, and also to free the philologists from routine work, to expand the range of analyzed works by reducing the dependence of the quality of the comparative analysis on the personal knowledge of the researcher, and also to apply the different metho...
A subject of this article is a method of classification of texts in Russian, which integrates the al...
The article deals with methodological aspects of a comprehensive comparative analysis of the root sy...
PILSHCHIKOV Igor, STAROSTIN Anatoli, « Reconnaissance automatique des mètres des vers russes : une a...
This paper describes the algorithm of automatic extraction of the characteristic features for the ge...
The article is devoted to the trends and transformations of philological education in the context of...
Computational text analysis has seen increasing adoption in English departments as a rapidly-improvi...
U radu će se objasniti što znači pojam računalne obrade književnih tekstova te u kojim područjima se...
We propose the algorithm of automated definition of the genre type and semantic characteristics of p...
The article presents approaches to the automatic detection of sound repetitions and the measurement ...
In this paper we propose the algorithm of automated definition of the genre type and semantic charac...
Analysis of the functional equivalence of an original text and its translation based on the achievem...
The poster presents a new software for semi-automatic stylometric analysis of poetry, especially Pol...
Analysis and interpretation of poetry is based on qualitative features of its text such as its seman...
The article describes the peculiarities of the analysis of the poetic Russian text while teaching fo...
The paper considers the pragmatic textual level and focuses on peculiarities of reasoning realized i...
A subject of this article is a method of classification of texts in Russian, which integrates the al...
The article deals with methodological aspects of a comprehensive comparative analysis of the root sy...
PILSHCHIKOV Igor, STAROSTIN Anatoli, « Reconnaissance automatique des mètres des vers russes : une a...
This paper describes the algorithm of automatic extraction of the characteristic features for the ge...
The article is devoted to the trends and transformations of philological education in the context of...
Computational text analysis has seen increasing adoption in English departments as a rapidly-improvi...
U radu će se objasniti što znači pojam računalne obrade književnih tekstova te u kojim područjima se...
We propose the algorithm of automated definition of the genre type and semantic characteristics of p...
The article presents approaches to the automatic detection of sound repetitions and the measurement ...
In this paper we propose the algorithm of automated definition of the genre type and semantic charac...
Analysis of the functional equivalence of an original text and its translation based on the achievem...
The poster presents a new software for semi-automatic stylometric analysis of poetry, especially Pol...
Analysis and interpretation of poetry is based on qualitative features of its text such as its seman...
The article describes the peculiarities of the analysis of the poetic Russian text while teaching fo...
The paper considers the pragmatic textual level and focuses on peculiarities of reasoning realized i...
A subject of this article is a method of classification of texts in Russian, which integrates the al...
The article deals with methodological aspects of a comprehensive comparative analysis of the root sy...
PILSHCHIKOV Igor, STAROSTIN Anatoli, « Reconnaissance automatique des mètres des vers russes : une a...