diplomsko delo
Blaž Bone (Author), Marko Robnik Šikonja (Mentor)

Abstract

V diplomski nalogi smo raziskali poenostavljanje besedil v slovenščini z uporabo velikih jezikovnih modelov. Cilj naloge je bil razviti modele, ki lahko učinkovito poenostavijo slovenska besedila. Uporabili smo obstoječe angleške učne množice, jih strojno prevedli v slovenščino, nato na teh podatkih naučili modele, kot so SloT5, mT5 in mBART. Izvedli smo kvantitativno in kvalitativno analizo rezultatov, pri čemer smo uporabili metrike, kot so BLEU, SARI, BERTScore in LaBSE Similarity. Rezultati so pokazali, da so modeli uspešno poenostavili besedila, ohranili ključne informacije in smiselno poenostavili strukturo in jezik. Kljub uspešnim poenostavitvam so modeli pogosto ponovili izvirne povedi brez večjih sprememb.

Keywords

poenostavljanje besedila;veliki jezikovni modeli;univerzitetni študij;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FRI - Faculty of Computer and Information Science
Publisher: [B. Bone]
UDC: 004.85:81'322(043.2)
COBISS: 209156355 Link will open in a new window
Views: 125
Downloads: 30
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
Secondary title: Text simplification for Slovene using large language models
Secondary abstract: In this thesis, we explored text simplification in Slovene using large language models. The goal of the thesis was to develop models that can effectively simplify Slovene texts. We used existing English training datasets, which we machine-translated into Slovene, and then trained models such as SloT5, mT5, and mBART on these data. We conducted quantitative and qualitative analysis of the results, using metrics such as BLEU, SARI, BERTScore, and LaBSE Similarity. The results showed that the models can successfully simplify texts, retain key information, and meaningfully simplify the structure and language. Despite the successful simplifications, the models often repeat the original sentences without significant changes.
Secondary keywords: natural language processing;text simplification;machine learning;large language models;computer and information science;diploma;Obdelava naravnega jezika (računalništvo);Strojno učenje;Računalniško jezikoslovje;Računalništvo;Univerzitetna in visokošolska dela;
Type (COBISS): Bachelor thesis/paper
Study programme: 1000468
Embargo end date (OpenAIRE): 1970-01-01
Thesis comment: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages: 1 spletni vir (1 datoteka PDF (34 str.))
ID: 24892324