Python Solutions to Address Natural Language Challenges

Authors

  • Yazeed Al Moaiad Department of Information Technology, Faculty of Computer and Information Technology, Al-Madinah International University (MEDIU), Malaysia. Jalan 2/125e, Taman Desa Petaling, 57100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur
  • Mohammad Alobed Department of Information Technology, Faculty of Computer and Information Technology, Al-Madinah International University (MEDIU), Malaysia. Jalan 2/125e, Taman Desa Petaling, 57100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur
  • Mahmoud Alsakhnini Skyline University College, School of Computing, University City of Sharjah- United Arab Emirates,....... Department of Information Technology, Faculty of Computer and Information Technology, Al-Madinah International University (MEDIU), Malaysia. Jalan 2/125e, Taman Desa Petaling, 57100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur.

DOI:

https://doi.org/10.15379/ijmst.v10i3.3405

Keywords:

Python, Natural Language Processing, Challenges

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.

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Published

2024-01-18

How to Cite

[1]
Y. A. . Moaiad, M. Alobed, and M. . Alsakhnini, “Python Solutions to Address Natural Language Challenges”, ijmst, vol. 10, no. 3, pp. 3594-3603, Jan. 2024.