scholarly journals Automatic Diacritics Restoration for Dialectal Arabic Text

2016 ◽  
Vol 12 (2) ◽  
pp. 159-165 ◽  
Author(s):  
Ayman A. Zayyan ◽  
◽  
Mohamed Elmahdy ◽  
Husniza binti Husni ◽  
Jihad Al Ja’am ◽  
...  
Keyword(s):  
2021 ◽  
Vol 11 (11) ◽  
pp. 4768
Author(s):  
Sanaa Kaddoura ◽  
Maher Itani ◽  
Chris Roast

With the increase in the number of users on social networks, sentiment analysis has been gaining attention. Sentiment analysis establishes the aggregation of these opinions to inform researchers about attitudes towards products or topics. Social network data commonly contain authors’ opinions about specific subjects, such as people’s opinions towards steps taken to manage the COVID-19 pandemic. Usually, people use dialectal language in their posts on social networks. Dialectal language has obstacles that make opinion analysis a challenging process compared to working with standard language. For the Arabic language, Modern Standard Arabic tools (MSA) cannot be employed with social network data that contain dialectal language. Another challenge of the dialectal Arabic language is the polarity of opinionated words affected by inverters, such as negation, that tend to change the word’s polarity from positive to negative and vice versa. This work analyzes the effect of inverters on sentiment analysis of social network dialectal Arabic posts. It discusses the different reasons that hinder the trivial resolution of inverters. An experiment is conducted on a corpus of data collected from Facebook. However, the same work can be applied to other social network posts. The results show the impact that resolution of negation may have on the classification accuracy. The results show that the F1 score increases by 20% if negation is treated in the text.


2010 ◽  
Vol 12 (1-2) ◽  
pp. 337-314
Author(s):  
ʿAbd Allāh Muḥammad al-Shāmī

The question of clarifying the meaning of a given Arabic text is a subtle one, especially as high literature texts can often be read in more than one way. Arabic is rich in figurative language and this can lead to variety in meaning, sometimes in ways that either adhere closely or diverge far from the ‘original’ meaning. In order to understand a fine literary text in Arabic, one must have a comprehensive understanding of the issue of taʾwīl, and the concept that multiplicity of meaning does not necessarily lead to contradiction. This article surveys the opinions of various literary critics and scholars of balāgha on this issue with a brief discussion of the concepts of tafsīr and sharḥ, which sometimes overlap with taʾwīl.


2004 ◽  
Vol 6 (2) ◽  
pp. 170-183
Author(s):  
Hassan al-Shafīe

The present study discusses the cultural and intellectual movement, now on the point of prevalence in the contemporary Islamic world, which adopts the Western ‘hermeneutical method’ and applies it to the Qur'an in particular, and Islamic religious texts in general. The author shows this movement's complete disregard for the established principles of tafsīr, the traditional Arab-Islamic rules of Qur'anic interpretation and the related Prophetic aḥādīth as preserved in the authenticated Sunna. The author argues that the ‘hermeneutical method’ starts from the preconceived notion that the Islamic heritage is male-centred and biased against women, both theoretically and practically, and, on this basis, proposes that the time has come for an intellectual break with this premise and the re-interpretation of the Qur'an and faith in the light of Western Christian hermeneutics. This paper proposes that this method fails to take historical events and the civilisational Islamic experience into account.


2014 ◽  
Author(s):  
Maryam Aminian ◽  
Mahmoud Ghoneim ◽  
Mona Diab

2020 ◽  
Vol 17 (3) ◽  
pp. 299-305 ◽  
Author(s):  
Riaz Ahmad ◽  
Saeeda Naz ◽  
Muhammad Afzal ◽  
Sheikh Rashid ◽  
Marcus Liwicki ◽  
...  

This paper presents a deep learning benchmark on a complex dataset known as KFUPM Handwritten Arabic TexT (KHATT). The KHATT data-set consists of complex patterns of handwritten Arabic text-lines. This paper contributes mainly in three aspects i.e., (1) pre-processing, (2) deep learning based approach, and (3) data-augmentation. The pre-processing step includes pruning of white extra spaces plus de-skewing the skewed text-lines. We deploy a deep learning approach based on Multi-Dimensional Long Short-Term Memory (MDLSTM) networks and Connectionist Temporal Classification (CTC). The MDLSTM has the advantage of scanning the Arabic text-lines in all directions (horizontal and vertical) to cover dots, diacritics, strokes and fine inflammation. The data-augmentation with a deep learning approach proves to achieve better and promising improvement in results by gaining 80.02% Character Recognition (CR) over 75.08% as baseline.


Author(s):  
Peter Adamson ◽  
Robert Wisnovsky

This article offers an analysis, translation, and edition of a brief, recently uncovered Arabic text by the tenth-century CE Christian Aristotelian thinker Yaḥyā ibn ʿAdī. Ibn ʿAdī here takes issue with an argument for the existence of God, widely used in kalām (Islamic theology). According to this argument, bodies cannot exist without being either in motion or at rest; motion and rest must begin; therefore all bodies and hence the universe as a whole must have begun. Ibn ʿAdī diagnoses various flaws in this reasoning, including a supposed part–whole fallacy. The analysis of the text shows how it fits into Ibn ʿAdī’s intellectual profile and the project of the Baghdad Aristotelian school.


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