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Title: Prepoznavanje krajšav in razvezav v angleških besedilih s področja varstvoslovja z algoritmom Krajšavar ter orodjema ChatGPT in Perplexity Authors: ID Kompara Lukančič, Mojca (Author) Files: URL - Source URL, visit https://ojs.zrc-sazu.si/jz/article/view/14335   PDF - Presentation file, download (1,58 MB) MD5: 76B8CCC3327A146D2C8F2B98CE40279D   Language: Slovenian Typology: 1.01 - Original Scientific Article Organization: ZRC SAZU - The Research Centre of the Slovenian Academy of Sciences and Arts Abstract: V prispevku se osredotočamo na uporabo orodij umetne inteligence, in sicer ChatGPT ter Perplexity, v procesu prepoznavanja krajšav in razvezav v angleških besedilih stroke, in sicer na primeru varstvoslovnih besedil, ter izsledke primerjamo s filtracijo besedil z algoritmom Krajšavar. Angleška besedila, ki smo jih uporabili pri filtraciji z orodjema umetne inteligence in algoritmom, smo ročno zbrali na podlagi tipološke klasifikacije angleških varstvoslovnih besedil. V prispevku predstavimo značilnosti algoritma Krajšavar, opišemo njegov razvoj in delovanje ter v nadaljevanju orišemo zbiranje besedil in pripravo gradiva za filtracijo. Osredinimo se na uporabo orodij ChatGPT in Perplexity pri samodejnem prepoznavanju krajšavno-razvezavnih parov v angleških varstvoslovnih besedilih, preverimo izsledke filtracije ter jih primerjamo z izsledki, pridobljenimi z algoritmom Krajšavar, in z rezultati ročnega pregleda. Keywords: krajšave, angleščina, slovar, algoritem, umetna inteligenca Publication status: Published Publication version: Version of Record Publication date: 12.11.2025 Year of publishing: 2025 Number of pages: str. 101-118 Numbering: letn. 31, št. 2 PID: 20.500.12556/DiRROS-25064  UDC: 811.163.6'373.46 ISSN on article: 0354-0448 DOI: 10.3986/JZ.31.2.05  COBISS.SI-ID: 256942083  Copyright: Imetniki avtorskih pravic na prispevkih so avtorji Publication date in DiRROS: 08.01.2026 Views: 154 Downloads: 80 Metadata:    Cite this work Plain text BibTeX EndNote XML EndNote/Refer RIS ABNT ACM Ref AMA APA Chicago 17th Author-Date Harvard IEEE ISO 690 MLA Vancouver : Copy citation

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Record is a part of a journal

Title:	Jezikoslovni zapiski : zbornik Inštituta za slovenski jezik Frana Ramovša
Shortened title:	Jezikosl. zap.
Publisher:	Inštitut za slovenski jezik Frana Ramovša ZRC SAZU
ISSN:	0354-0448
COBISS.SI-ID:	27991296

Licences

License:	CC BY-SA 4.0, Creative Commons Attribution-ShareAlike 4.0 International
Link:	http://creativecommons.org/licenses/by-sa/4.0/
Description:	This Creative Commons license is very similar to the regular Attribution license, but requires the release of all derivative works under this same license.

Secondary language

Language:	English
Title:	Recognizing Abbreviations and Their Expansions in English Criminal Justice and Security Texts Using the Krajšavar Algorithm, ChatGPT, and Perplexity
Abstract:	This article examines the application of artificial intelligence tools, specifically ChatGPT and Perplexity, for recognizing abbreviations and their corresponding expansions in English professional texts dealing with criminal justice and security. The results are compared with those obtained through text filtering using the Krajšavar algorithm. The English texts used for filtering with both AI tools and the algorithm were manually collected based on a typological classification of English criminal justice and security texts. This article presents the main features of the Krajšavar algorithm, outlines its development and functioning, and describes the text collection and material preparation for filtering. The analysis focuses on using ChatGPT and Perplexity for the automatic recognition of abbreviation–expansion pairs in English criminal justice and security texts. The filtering results are evaluated and subsequently compared with those obtained through the Krajšavar algorithm and manual verification.
Keywords:	abbreviations, English, dictionary, algorithm, artificial intelligence

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This document is a part of these collections:

1. Jezikoslovni zapiski

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