Results 1 to 10 of about 1,349 (152)
A Transformer-Based Neural Machine Translation Model for Arabic Dialects That Utilizes Subword Units [PDF]
Laith Baniata +2 more
exaly +2 more sources
Arabic Dialect Identification [PDF]
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
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
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 T. Diab, Nizar Habash
openaire +3 more sources
Cross-Dialectal Arabic Processing [PDF]
We present, in this paper an Arabic multi-dialect study including dialects from both the Maghreb and the Middle-east that we compare to the Modern Standard Arabic (MSA). Three dialects from Maghreb are concerned by this study: two from Algeria and one from Tunisia and two dialects from Middle-east (Syria and Palestine).
Salima Harrat +5 more
openaire +2 more sources
Arabic Dialect Identification in the Wild
13 pages, 7 figures, 4 ...
Ahmed Abdelali +4 more
openaire +2 more sources
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 ...
Salima Harrat +3 more
openaire +1 more source
Shami: A Corpus of Levantine Arabic Dialects
Modern Standard Arabic (MSA) is the official language used in education and media across the Arab world both in writing and formal speech. However, in daily communication several dialects depending on the country, region as well as other social factors, are used.
Kwaik K. A. +3 more
openaire +3 more sources
On the Robustness of Arabic Speech Dialect Identification
Arabic dialect identification (ADI) tools are an important part of the large-scale data collection pipelines necessary for training speech recognition models. As these pipelines require application of ADI tools to potentially out-of-domain data, we aim to investigate how vulnerable the tools may be to this domain shift.
Peter Sullivan +2 more
openaire +2 more sources
Stabilising Routines in Complex Emergencies: How Basic Service Continuity Shapes Perceived Security
ABSTRACT This study examines how locally embedded actors describe the relationship between basic service continuity and perceived security in complex emergencies, with particular attention to the stabilisation of everyday routines. Using Proximity‐Predictability‐Attributability (PPA) as an analytic lens, we trace how interviewees relate access to water,
Abdullah Gökhan Yaşa, Orçun İmga
wiley +1 more source

