Results 11 to 20 of about 3,376 (236)
Intent Arabic text categorisation based on different machine learning and term frequency
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
Languages with a grammatical structure that have a free order for words, such as Arabic dialects, are considered a challenge for neural machine translation (NMT) models because of the attached suffixes, affixes, and out-of-vocabulary words.
Laith H. Baniata +2 more
doaj +1 more source
Arabic dialect processing tutorial [PDF]
Language exists in a natural continuum, both historically and geographically. The term language as opposed to dialect is only an expression of power and dominance of one group/ideology over another. In the Arab world, politics (Arab nationalism) and religion (Islam) are what shape the perception of the distinction between the Arabic language and an ...
Mona Diab, Nizar Habash
openaire +1 more source
The long vowels in Maghreben dialects
The difficulty of Maghreb dialects is a stereotype for many non-Maghribans; and Our research aims to remove them. In fact, these dialects are Arabic but it differs from other Arabic dialects by a set of characteristics Like a lot of sculpting, using long
Rachida Belhadi
doaj +1 more source
A rule-based stemmer for Arabic Gulf dialect
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
doaj +1 more source
Normalization of Arabic Dialects into Modern Standard Arabic using BERT and GPT-2 [PDF]
We 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 +1 more source
Building resources for Algerian Arabic dialects [PDF]
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 ...
Harrat, Salima +3 more
openaire +1 more source
: The goal of this paper is to compile information from various sources about Arabic and its evolution from Classical Arabic to Modern Standard Arabic. It delves into the primary reasons behind the changes in the Arabic language.
Abdelkader HOCINI
doaj +2 more sources
PREPROCESSING ARABIC DIALECT FOR SENTIMENT MINING: STATE OF ART [PDF]
Sentiment Analysis concerns the analysis of ideas, emotions, evaluations, values, attitudes and feelings about products, services, companies, individuals, tasks, events, titles and their characteristics.
Z. Nassr, N. Sael, F. Benabbou
doaj +1 more source
Arabic Dialects of Lamomea and Pudahoa at Students in Gontor 4 and 7 Southeast Sulawesi
Background: The symptom of using two languages in the local dialect of the Arabic speaking community in Southeast Sulawesi can be seen as an interesting phenomenon.
Laode Abdul Wahab +1 more
doaj +1 more source

