Results 81 to 90 of about 226,611 (194)
The relationship between working memory and reading comprehension in L1 Arabic and L2 English for Arabic speaking children [PDF]
This mixed methodology research project comprised four studies that explored relationships between working memory and literacy, as well as the potential influence of home literacy, in L1 Arabic and L2 English children in grade six (aged 11) of mainstream
Elsayyad, H.M
core +1 more source
Glyph Identification and Character Recognition for Sindhi OCR [PDF]
A computer can read and write multiple languages and today?s computers are capable of understanding various human languages. A computer can be given instructions through various input methods but OCR (Optical Character Recognition) and handwritten ...
NISAR AHMEDMEMON +2 more
doaj
Optical Character Recognition (OCR) plays a vital role in digitising and enabling access to historical records in digital libraries. Yet, OCR technologies frequently face challenges when interpreting and categorising intricate document structures ...
Riccardo Amerigo Vigliermo +3 more
doaj +1 more source
This systematic literature review explores the progress, challenges, and opportunities in the field of Optical Character Recognition (OCR) for the Turkish language.
Mirac Goksu Ozturk +2 more
doaj +1 more source
Deploying deep learning–based optical character recognition (OCR) systems for low-resource, complex-script languages like Urdu remains a major challenge due to high computational costs, lack of annotated datasets, and limited hardware support for ...
Fauzia Yasir, Majida Kazmi
doaj +1 more source
Baseer: A Vision-Language Model for Arabic Document-to-Markdown OCR
Arabic document OCR remains a challenging task due to the language's cursive script, diverse fonts, diacritics, and right-to-left orientation. While modern Multimodal Large Language Models (MLLMs) have advanced document understanding for high-resource languages, their performance on Arabic remains limited.
Khalil Hennara +6 more
openaire +3 more sources
Bulbul O. Performance Evaluation of Two Arabic OCR Products
Numerous Optical Character Recognition (OCR) companies claim that their products have near-perfect recognition accuracy (close to 99.9%). In practice, however, these accuracy rates are rarely achieved.
Osama Bulbul +2 more
core
The field of Optical Character Recognition (OCR) is the process of converting an image of text into a machine-readable text format. The classification of Arabic manuscripts in general is part of this field.
Mouhssine EL ATILLAH +2 more
doaj +1 more source
Using automatic speech recognition to evaluate Arabic to English transliteration [PDF]
Increased travel and international communication has led to an increased need for transliteration of Arabic proper names for people, places, technical terms and organisations.
Khalil, G
core
OCR for low-resource languages is still held back by the same small number of issues: too little labeled image-text data, too few benchmarks, and thin language-specific tooling. Kurdish Sorani is a particularly awkward case.
Hawraz A. Ahmad
doaj +1 more source

