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001-es BibID:	BIBFORM113371
035-os BibID:	(WOS)000939164600001 (Scopus)85148938983 (Cikkazonosító)302
Első szerző:	Csernoch Mária (informatika tanár)
Cím:	The Entropy of Digital Texts - The Mathematical Background of Correctness / Mária Csernoch, Keve Nagy, Tímea Nagy
Dátum:	2023
ISSN:	1099-4300
Megjegyzések:	Based on Shannon's communication theory, in the present paper, we provide the theoretical background to finding an objective measurement-the text-entropy-that can describe the quality of digital natural language documents handled with word processors. The text-entropy can be calculated from the formatting, correction, and modification entropy, and based on these values, we are able to tell how correct or how erroneous digital text-based documents are. To present how the theory can be applied to real-world texts, for the present study, three erroneous MS Word documents were selected. With these examples, we can demonstrate how to build their correcting, formatting, and modification algorithms, to calculate the time spent on modification and the entropy of the completed tasks, in both the original erroneous and the corrected documents. In general, it was found that using and modifying properly edited and formatted digital texts requires less or an equal number of knowledge-items. In information theory, it means that less data must be put on the communication channel than in the case of erroneous documents. The analysis also revealed that in the corrected documents not only the quantity of the data is less, but the quality of the data (knowledge pieces) is higher. As the consequence of these two findings, it is proven that the modification time of erroneous documents is severalfold of the correct ones, even in the case of minimal first level actions. It is also proven that to avoid the repetition of the time- and resource-consuming actions, we must correct the documents before their modification.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk word processing errors correction modification formatting communication entropy text-entropy
Megjelenés:	Entropy. - 25 : 2 (2023), p. 1-34. -
További szerzők:	Nagy Keve (1974-) (mérnökinformatikus) Nagy Tímea Katalin (1995-) (informatika-matematika tanár)
Pályázati támogatás:	NKFI - KDP-2021 Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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