Results 11 to 20 of about 4,041 (247)

Dotless Arabic text for Natural Language Processing

Computational Linguistics
Abstract This article introduces a novel representation of Arabic text as an alternative approach for Arabic NLP, inspired by the dotless script of ancient Arabic. We explored this representation through extensive analysis on various text corpora, differing in size and domain, and tokenized using multiple tokenization techniques ...
Maged S. Al-Shaibani, Irfan Ahmad
doaj   +2 more sources

Open source Arabic research paper dataset for natural language processing

Scientific Reports
Recent advancements in applications such as natural language processing (NLP), applied linguistics, indexing, data mining, information retrieval, and machine translation have emphasized the need for robust datasets and corpora.
Tahani M. Almutairi, Shireen R. Saifuddin, Reem M. Alotaibi, Shahendah Sarhan   +3 more
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A panoramic survey of natural language processing in the Arab world [PDF]

Communications of the ACM, 2021
The term natural language refers to any system of symbolic communication (spoken, signed or written) without intentional human planning and design. This distinguishes natural languages such as Arabic and Japanese from artificially constructed languages such as Esperanto or Python.
Kareem Darwish, Nizar Habash, Mourad Abbas, Hend S. Al-Khalifa, Hussein T. Al-Natsheh, Houda Bouamor, Karim Bouzoubaa, Violetta Cavalli-Sforza, Samhaa R. El-Beltagy, Wassim El-Hajj, Mustafa Jarrar, Hamdy Mubarak   +11 more
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Arabic Natural Language Processing for Qur’anic Research: A Systematic Review [PDF]

Artificial Intelligence Review, 2021
Arabic Natural Language Processing for Qur’anic Research: A Systematic ...
Muhammad Huzaifa Bashir, Aqil M. Azmi, Haq Nawaz, Wajdi Zaghouani, Mona T. Diab, Ala I. Al-Fuqaha, Junaid Qadir 0001   +6 more
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Natural Language Processing for Dialectical Arabic: A Survey [PDF]

Proceedings of the Second Workshop on Arabic Natural Language Processing, 2015
This paper presents a wide literature review of natural language processing for dialectical Arabic. Four main research areas were identified and the dialect coverage in research work was outlined. The paper can be used as a quick reference to identify relevant contributions that address a specific NLP aspect for a specific dialect.
Abdulhadi Shoufan, Sumaya Alameri
openaire   +1 more source

PART OF SPEECH TAGGER FOR ARABIC TEXT BASED SUPPORT VECTOR MACHINES: A REVIEW [PDF]

ICTACT Journal on Soft Computing, 2019
There is not much research that discusses the Part of speech (POS) tagger for the Arabic language. Hence, the Arabic language is challenging to identify the types of part of the speech of a particular word in a given context because most modern texts do ...
Jabar H Yousif, Maryam H Al-Risi
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Design a Computerized Lexicon for Machine Translation from Arabic to English [PDF]

Engineering and Technology Journal, 2013
Lexicon plays an essential role in natural language processing systems and specially the machine translation systems, because it provides the system's components with the necessary information for the translation process.
Matheel emaduldeen Abdulmunim, Suhad Malalla Khadim   +1 more
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Topical and Non-Topical Approaches to Measure Similarity between Arabic Questions

Big Data and Cognitive Computing, 2022
Questions are crucial expressions in any language. Many Natural Language Processing (NLP) or Natural Language Understanding (NLU) applications, such as question-answering computer systems, automatic chatting apps (chatbots), digital virtual assistants ...
Mohammad Daoud
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Multi-Agents Indexing System (MAIS) for Plagiarism Detection

Journal of King Saud University: Computer and Information Sciences, 2022
With the extensive availability of technological systems all over the world and the increasing diffusion of information and documents by users, especially for the Arabic population, the development of semantic plagiarism detection systems has become ...
Samia Zouaoui, Khaled Rezeg
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Arabic Text Steganography Based on Deep Learning Methods

IEEE Access, 2022
Steganography is one of the oldest methods for securely sending and transferring secret information between two people without raising suspicion. Recently, the use of Artificial Intelligence (AI) has become simpler and more widely used.
Omer Farooq Ahmed Adeeb, Seyed Jahanshah Kabudian   +1 more
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