Results 11 to 20 of about 249,569 (228)
A SOCIOLINGUISTICS STUDY IN ARABIC DIALECTS [PDF]
Prasasti: Journal of Linguistics, 2021 This study proposes a number of criteria, investigates in Arabic dialects and its types, it is a secondary source study; in other words, information is collected from primary sources such as websites, books, action/empirical research, case studies ...
Abdullah Hussein Ali Alnosairee +1 more
doaj +2 more sources
Emphatic variation of the labio-velar /w/ in two Jordanian Arabic dialects [PDF]
Heliyon, 2021 Much work on emphatic segments in Arabic dialects has focused on primary emphasis. However, secondary emphasis has been less of a target of study. Our research investigates the emphatic variation of the secondarily emphatic labio-velar /w/ between males ...
Mutasim Al-Deaibes +2 more
doaj +2 more sources
Building resources for Algerian Arabic dialects [PDF]
Interspeech 2014, 2014 The Algerian Arabic dialects are under-resourced languages, which lack both corpora and Natural Language Processing (NLP) tools, although they are increasingly used in written form, especially on social media and forums. We aim through this paper, and for the first time, to build parallel corpora for Algerian dialects, because our ultimate purpose is ...
Salima Harrat +3 more
core +4 more sources
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
exaly +3 more sources
Applied SciencesThis article presents a unique approach to Arabic dialect identification using a pre-trained speech classification model. The system categorizes Arabic audio clips into their respective dialects by employing 1D and 2D convolutional neural network ...
Fawaz S. Al–Anzi +1 more
doaj +2 more sources
A Rule-Based Stemmer for Arabic Gulf Dialect
Journal of King Saud University - Computer and Information Sciences, 2015 Arabic dialects arewidely used from many years ago instead of Modern Standard Arabic language in many fields. The presence of dialects in any language is a big challenge.
Belal Abuata, Asma Al-Omari
exaly +3 more sources
Sentiment Analysis of Multilingual Dataset of Bahraini Dialects, Arabic, and English
Data, 2023 Sentiment analysis is an application of natural language processing (NLP) that requires a machine learning algorithm and a dataset. In some cases, the dataset availability is scarce, particularly with Arabic dialects, precisely the Bahraini ones, which ...
Thuraya Omran +3 more
doaj +2 more sources
Normalization of Arabic Dialects into Modern Standard Arabic using BERT and GPT-2 [PDF]
Journal of Data Mining and Digital HumanitiesWe present an encoder-decored based model for normalization of Arabic dialects using both BERT and GPT-2 based models. Arabic is a language of many dialects that not only differ from the Modern Standard Arabic (MSA) in terms of pronunciation but also in ...
Khalid Alnajjar, Mika Hämäläinen
doaj +3 more sources
Machine Translation of Arabic Dialects [PDF]
, 2018 This thesis discusses different approaches to machine translation (MT) from Dialectal Arabic (DA) to English. These approaches handle the varying stages of Arabic dialects in terms of types of available resources and amounts of training data. The overall theme of this work revolves around building dialectal resources and MT systems or enriching ...
Salloum, Wael Sameer
openaire +3 more sources
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