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Bambang Sulistio; Arief Ramadhan; Edi Abdurachman; Muhammad Zarlis; Agung Trisetyarso – Education and Information Technologies, 2024
Computer science development, especially machine learning, is a thriving innovation essential for education. It makes the process of teaching and learning more accessible and manageable and also promotes equality. The positive influence of machine learning can also be felt in Islamic studies, particularly in Hadith studies. This literature review…
Descriptors: Electronic Learning, Artificial Intelligence, Computer Uses in Education, Islam

Saeed, Khalid; Dardzinska, Agnieszka – Journal of the American Society for Information Science and Technology, 2001
Discussion of automatic recognition of hand and machine-written cursive text using the Arabic alphabet focuses on an algorithm for word recognition. Describes results of testing words for recognition without segmentation and considers the algorithms' use for words of different fonts and for processing whole sentences. (Author/LRW)
Descriptors: Algorithms, Arabic, Natural Language Processing, Sentences

Musa, F. A. – Journal of the American Society for Information Science, 1986
The production of high quality Arabic-English text poses technical problems that are caused mainly by the high degree of syntactical flexibility which characterizes the Arabic language. This article describes a system which offers some solutions to the problems encountered in processing bilingual Arabic-English text. (Author/EM)
Descriptors: Algorithms, Arabic, English, Mathematical Models

Al-Kharashi, Ibrahim A.; Evens, Martha W. – Journal of the American Society for Information Science, 1994
Describes experiments in Arabic information retrieval using 29 queries against a base of 355 bibliographic records. Using roots and stems as index terms worked better than words, and the root performed as well as or better than the stem at low recall levels and definitely better at high recall levels. (Contains 30 references.) (KRN)
Descriptors: Algorithms, Arabic, Bibliographic Databases, Comparative Analysis