Results 1 to 10 of about 299 (124)
ADAM: Analyzer for Dialectal Arabic Morphology
Journal of King Saud University - Computer and Information Sciences, 2014 While Modern Standard Arabic (MSA) has many resources, Arabic Dialects, the primarily spoken local varieties of Arabic, are quite impoverished in this regard. In this article, we present ADAM (Analyzer for Dialectal Arabic Morphology). ADAM is a poor man’
Nizar Habash
exaly +4 more sources
arHateDetector: detection of hate speech from standard and dialectal Arabic Tweets
Discover Internet of Things, 2023 Hate speech has become a phenomenon on social media platforms, such as Twitter. These websites and apps that were initially designed to facilitate our expression of free speech, are sometimes being used to spread hate towards each other.
Zaher Al Aghbari, Al Aghbari Zaher
exaly +2 more sources
Analyzing the Effect of Negation in Sentiment Polarity of Facebook Dialectal Arabic Text
Applied Sciences (Switzerland), 2021 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.
Maher Itani +2 more
exaly +3 more sources
Systematic Literature Review of Dialectal Arabic: Identification and Detection
IEEE Access, 2021 It is becoming increasingly difficult to know who is working on what and how in computational studies of Dialectal Arabic. This study comes to chart the field by conducting a systematic literature review that is intended to give insight into the most and
Ismail Shahin +2 more
exaly +3 more sources
Generalised Cross-Dialectal Arabic Question Answering Through Adaptive Code-Mixed Data Augmentation
Information (Switzerland)Modern Standard Arabic (MSA) and the many regional dialects differ substantially in vocabulary, morphology, and pragmatic usage. Most available annotated resources are in MSA, and zero-shot transfer from MSA to dialectal tasks suffers a large performance
Maha J Althobaiti
exaly +3 more sources
Deep Investigation of the Recent Advances in Dialectal Arabic Speech Recognition
IEEE Access, 2022 Speech recognition systems play an important role in human–machine interactions. Many systems exist for Arabic speech, however, there are limited systems for dialectal Arabic speech. The Arabic language comprises many properties, some of which are
Hamzah A. Alsayadi +4 more
doaj +1 more source
Lingue Culture Mediazioni, 2022 Due to the complex diglossic situation in Arabic, the question of what variety of the language to teach has always occupied a central position in work on teaching Arabic as a foreign language (AFL).
Zainab Shahad Marzouk Al-Zaghir +1 more
doaj +1 more source
IADD: An integrated Arabic dialect identification dataset
Data in Brief, 2022 Arabic language has different variants that can be roughly categorized into three main categories: Classical Arabic (CA), Modern Standard Arabic (MSA) and Dialectal Arabic (DA).
Jihad Zahir
doaj +1 more source
Arabic Dialect Identification [PDF]
Computational Linguistics, 2014 The written form of the Arabic language, Modern Standard Arabic (MSA), differs in a non-trivial manner from the various spoken regional dialects of Arabic—the true “native languages” of Arabic speakers. Those dialects, in turn, differ quite a bit from each other.
Omar F. Zaidan, Chris Callison-Burch
openaire +2 more sources
Intent Arabic text categorisation based on different machine learning and term frequency
IET Networks, EarlyView., 2022 Abstract The complexity of Internet network configurations has made managing networks a complicated undertaking. Intent‐Based Networking (IBN) is a potential solution to this issue. In contrast to conventional networks, where a concrete description of the settings typically conveys a network administrator's goal kept on each device, an administrator's ...
Mohammad Fadhil Mahdi +1 more
wiley +1 more source