Approaches to text simplification : can computer technologies outdo a human mind?

Pervukhina, Svetlana Vladimirovna and Basenko, Gyulnara Vladimirovna and Ryabtseva, Irina Gennadjevna and Sakharova, Elena Evgenyevna (2021) Approaches to text simplification : can computer technologies outdo a human mind? GEMA ; Online Journal of Language Studies, 21 (3). pp. 37-51. ISSN 1675-8021


Official URL:


Narrowly specialized information is addressed to a limited circle of professionals though it provokes interest among people without specialized education. This gives rise to a need for the popularization of scientific information. This process is carried out through simplified texts as a kind of secondary texts that are directly aimed at the addressee. Age, language proficiency and background knowledge are the main features which are usually taken into consideration by the author of the secondary text who makes changes in the text composition, as well as in its pragmatics, semantics and syntax. This article analyses traditional approaches to text simplification, computer simplification and summarization. The authors compare humanauthored simplification of literary texts with the newest trends in computer simplification to promote further development of machine simplification tools. It has been found that the samples of simplified scientific texts seem to be more natural than the samples of simplified literary texts since technical background knowledge can be processed with machine tools. The authors have come to the conclusion that literary and technical texts should imply different approaches for adaptation and simplification. In addition, personal readers’ experience plays a great part in finding the implications in literary texts. In this respect it might be reasonable to create separate engines for simplifying and adapting texts from diverse spheres of knowledge.

Item Type:Article
Keywords:Text simplification; Natural Language Processing (NLP); Pragmatic adaptation; Professional communication; Literary texts
Journal:GEMA ; Online Journal of Language Studies
ID Code:18122
Deposited By: ms aida -
Deposited On:21 Feb 2022 07:34
Last Modified:24 Feb 2022 00:30

Repository Staff Only: item control page