Results 11 to 20 of about 262,338 (204)

A Novel Framework for Arabic Dialect Chatbot Using Machine Learning [PDF]

open access: yesComput Intell Neurosci, 2022
With the advent of artificial intelligence and proliferation in the demand for an online dialogue system, the popularity of chatbots is growing on various industrial platforms.
Nadrh Abdullah Alhassan   +3 more
semanticscholar   +2 more sources

MADOran: A morphologically annotated dataset of OranMendeley Data [PDF]

open access: yesData in Brief
This paper introduces a new morphologically annotated dataset for the Orani Arabic dialect (ORN), comprising 30,919 words gathered from diverse genres, including written language (41 %) which cover topics such as culture, history, politics, recipes ...
Majdi Sawalha   +6 more
doaj   +2 more sources

The Quran was Revealed in Conversational Arabic [PDF]

open access: yesدراسات في اللغة العربيّة وآدابها, 2014
Allah, because of His wisdom and omniscience chose Arabic as a framework and expression of His greatness and miracles. The multitude of Arabic dialects at the time of the revelation of the Quran has caused the scholars to disagree on the dialect in which
Shaker Amery
doaj   +1 more source

Phonological aspects of al-Issa Arabic, a Bedouin dialect in the north of Jordan

open access: yesHeliyon, 2021
This study offers an account of selected key phonological aspects of al-Issa Arabic, spoken in three villages in al Mafraq: Ad-Dafyana, Mansiyat al-Gublan and Um As-srab. Forty suitable participants plus four language consultants were recruited.
Anas al Huneety   +3 more
doaj   +1 more source

False resultatives: The interaction of agreement and creation in Northern Galilee Levantine Arabic

open access: yesGlossa, 2021
Arabic dialects in general do not allow resultatives. We present here novel data from a dialect of Levantine Arabic, Northern Galilee Arabic, which show that Arabic does have a subtype of resultatives: false resultatives (Rapoport 1999; Mateu 2000; Zarka
Aya Zarka, Tova Rapoport
doaj   +2 more sources

Domain-Adapted BERT-based Models for Nuanced Arabic Dialect Identification and Tweet Sentiment Analysis

open access: yesWorkshop on Arabic Natural Language Processing, 2022
This paper summarizes the solution of the Nuanced Arabic Dialect Identification (NADI) 2022 shared task. It consists of two subtasks: a country-level Arabic Dialect Identification (ADID) and an Arabic Sentiment Analysis (ASA).
Giyaseddin Bayrak, Abdul Majeed Issifu
semanticscholar   +1 more source

Building an Ensemble of Transformer Models for Arabic Dialect Classification and Sentiment Analysis

open access: yesWorkshop on Arabic Natural Language Processing, 2022
In this paper, we describe the approaches we developed for the Nuanced Arabic Dialect Identification (NADI) 2022 shared task, which consists of two subtasks: the identification of country-level Arabic dialects and sentiment analysis.
Abdullah Salem Khered   +2 more
semanticscholar   +1 more source

Promoting Arabic Literacy in Primary Schools in the United Arab Emirates through the Emirati Dialect

open access: yesSci, 2020
Globalization has had an impact on the education system in the UAE, where the increased use of bilingual curriculum (Arabic-English) is held in high regard. Nevertheless, literacy in Arabic among Emirati children and teenagers remains low.
Jean Pierre Ribeiro Daquila
doaj   +1 more source

Word Representation Models for Arabic Dialect Identification

open access: yesWorkshop on Arabic Natural Language Processing, 2022
This paper describes the systems submitted by BFCAI team to Nuanced Arabic Dialect Identification (NADI) shared task 2022. Dialect identification task aims at detecting the source variant of a given text or speech segment automatically.
M. Sobhy   +3 more
semanticscholar   +1 more source

Constructing twitter corpus of Iraqi Arabic Dialect (CIAD) for sentiment analysis

open access: yesScientific and Technical Journal of Information Technologies, Mechanics and Optics, 2022
The number of Twitter users in Iraq has increased significantly in recent years. Major events, the political situation in the country, had a significant impact on the content of Twitter and affected the tweets of Iraqi users.
M. Al-Jawad   +3 more
semanticscholar   +1 more source

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