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

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...

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Main Authors: Pervukhina, Svetlana Vladimirovna, Basenko, Gyulnara Vladimirovna, Ryabtseva, Irina Gennadjevna, Sakharova, Elena Evgenyevna
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2021
Online Access:http://journalarticle.ukm.my/18122/1/42792-164846-5-PB.pdf
http://journalarticle.ukm.my/18122/
https://ejournal.ukm.my/gema/issue/view/1417
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spelling my-ukm.journal.181222022-02-24T00:30:49Z http://journalarticle.ukm.my/18122/ Approaches to text simplification : can computer technologies outdo a human mind? Pervukhina, Svetlana Vladimirovna Basenko, Gyulnara Vladimirovna Ryabtseva, Irina Gennadjevna Sakharova, Elena Evgenyevna 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. Penerbit Universiti Kebangsaan Malaysia 2021-08 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/18122/1/42792-164846-5-PB.pdf 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 https://ejournal.ukm.my/gema/issue/view/1417
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description 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.
format Article
author Pervukhina, Svetlana Vladimirovna
Basenko, Gyulnara Vladimirovna
Ryabtseva, Irina Gennadjevna
Sakharova, Elena Evgenyevna
spellingShingle Pervukhina, Svetlana Vladimirovna
Basenko, Gyulnara Vladimirovna
Ryabtseva, Irina Gennadjevna
Sakharova, Elena Evgenyevna
Approaches to text simplification : can computer technologies outdo a human mind?
author_facet Pervukhina, Svetlana Vladimirovna
Basenko, Gyulnara Vladimirovna
Ryabtseva, Irina Gennadjevna
Sakharova, Elena Evgenyevna
author_sort Pervukhina, Svetlana Vladimirovna
title Approaches to text simplification : can computer technologies outdo a human mind?
title_short Approaches to text simplification : can computer technologies outdo a human mind?
title_full Approaches to text simplification : can computer technologies outdo a human mind?
title_fullStr Approaches to text simplification : can computer technologies outdo a human mind?
title_full_unstemmed Approaches to text simplification : can computer technologies outdo a human mind?
title_sort approaches to text simplification : can computer technologies outdo a human mind?
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2021
url http://journalarticle.ukm.my/18122/1/42792-164846-5-PB.pdf
http://journalarticle.ukm.my/18122/
https://ejournal.ukm.my/gema/issue/view/1417
_version_ 1725973513831972864
score 13.211869

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