Python Solutions to Address Natural Language Challenges

Alsakhnini, M, Moaiad, Yazeed Al and Alobed, Mohammad (2024) Python Solutions to Address Natural Language Challenges. International Journal of Membrane Science and Technology, 10 (3). pp. 3594-3603. ISSN 2410-1869

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Abstract

Arabic is one of six official languages, according to UNESCO. It's spoken by more than 422 million Arabs, and 1.5 billion Muslims around the world use it when they pray five times a day. Arabs spoke classical Arabic more than 1400 years ago. On the other hand, dialectal Arabic is the everyday language that is used informally and varies from region to region. Modern Standard Arabic borrows from and adds to other languages to fit the needs of its speakers. Arabic is harder to learn because there are three different ways to speak it: the classical way, the modern way, and the casual way. Arabic is hard to work with on computers for more than one reason. Because Arabic has a lot of inflection and derivation, one lemma can turn into many different words with different meanings.

Affiliation: Skyline University College
SUC Author(s): Alsakhnini, M
All Author(s): Alsakhnini, M, Moaiad, Yazeed Al and Alobed, Mohammad
Item Type: Article
Uncontrolled Keywords: Python, Natural Language Processing, Challenges
Subjects: B Information Technology > BB Information Technology
Divisions: Skyline University College > School of IT
Depositing User: Mr Mosys Team
Date Deposited: 14 Feb 2024 14:05
Last Modified: 14 Feb 2024 14:05
URI: https://research.skylineuniversity.ac.ae/id/eprint/836
Publisher URL: https://doi.org/10.15379/ijmst.v10i3.3405
Publisher OA policy: https://v2.sherpa.ac.uk/id/publication/32872
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