Browsing by Author "Bumbu, Tudor"

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    Comparison of Large Language Models and Traditional Neural Networks in Optical Character Recognition for Old Alphabets [Articol]
    (2024) Cerescu, Marius; Bumbu, Tudor
    This study compares large language models (LLMs) and traditional neural networks (TNNs) in Optical Character Recognition (OCR) for historical alphabets. While deep learning has advanced OCR technology, recognizing old scripts remains challenging due to their complexity. LLMs, with vision capabilities, offer a novel approach by integrating visual and linguistic understanding. This research evaluates the accuracy and robustness of both models on a dataset of an ancient alphabet, highlighting the potential of LLMs to improve OCR in historical linguistics and digital preservation. The findings provide valuable insights for applying modern AI to the preservation of historical texts.
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    Medieval Text Processing: Use Case of Romanian Uncial Writing [Articol]
    (2024) Bumbu, Tudor; Burtseva, Lyudmila; Cojocaru, Svetlana; Colesnicov, Alexandru; Malahov, Ludmila
    This paper discusses the application of ABBYY FineReader or the recognition of three Romanian manuscripts written in uncial Cyrillic script. The manuscripts, dating from the 16th century, were digitized and processed achieving an OCR accuracy between 75% and 85%. The study demonstrates the effectiveness of specialized OCR models in handling historical texts with unique orthographic and paleographic features.
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    TEHNOLOGII ȘI RESURSE INFORMAȚIONALE PENTRU DIGITIZAREA ȘI PROCESAREA TEXTELOR DIN PATRIMONIUL ISTORICO-CULTURAL
    (2023) Bumbu, Tudor; Cojocaru, Svetlana
    Scopul lucrării: elaborarea instrumentelor informatice pentru procesarea patrimoniului de limbă română tipărit în secolele 17-20.