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Improving Machine Translation of Arabic Dialects through Multi-Task Learning
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In: 20th International Conference Italian Association for Artificial Intelligence:AIxIA 2021 ; https://hal.archives-ouvertes.fr/hal-03435996 ; 20th International Conference Italian Association for Artificial Intelligence:AIxIA 2021, Dec 2021, MILAN/Virtual, Italy (2021)
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A Historical Reconstruction of Some Pronominal Suffixes in Modern Dialectal Arabic
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In: Languages ; Volume 6 ; Issue 3 (2021)
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A Transformer-Based Neural Machine Translation Model for Arabic Dialects That Utilizes Subword Units
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In: Sensors ; Volume 21 ; Issue 19 (2021)
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Abstract:
Languages that allow free word order, such as Arabic dialects, are of significant difficulty for neural machine translation (NMT) because of many scarce words and the inefficiency of NMT systems to translate these words. Unknown Word (UNK) tokens represent the out-of-vocabulary words for the reason that NMT systems run with vocabulary that has fixed size. Scarce words are encoded completely as sequences of subword pieces employing the Word-Piece Model. This research paper introduces the first Transformer-based neural machine translation model for Arabic vernaculars that employs subword units. The proposed solution is based on the Transformer model that has been presented lately. The use of subword units and shared vocabulary within the Arabic dialect (the source language) and modern standard Arabic (the target language) enhances the behavior of the multi-head attention sublayers for the encoder by obtaining the overall dependencies between words of input sentence for Arabic vernacular. Experiments are carried out from Levantine Arabic vernacular (LEV) to modern standard Arabic (MSA) and Maghrebi Arabic vernacular (MAG) to MSA, Gulf–MSA, Nile–MSA, Iraqi Arabic (IRQ) to MSA translation tasks. Extensive experiments confirm that the suggested model adequately addresses the unknown word issue and boosts the quality of translation from Arabic vernaculars to Modern standard Arabic (MSA).
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Keyword:
Arabic dialects; modern standard Arabic; multi-head attention; neural machine translation (NMT); self-attention; shared vocabulary; subword units; transformer
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URL: https://doi.org/10.3390/s21196509
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The Old and the New: Considerations in Arabic Historical Dialectology
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In: Languages ; Volume 6 ; Issue 4 (2021)
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Contrastive Feature Typologies of Arabic Consonant Reflexes
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In: Languages ; Volume 6 ; Issue 3 (2021)
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| 6 |
Vowel unpredictability in Hijazi Arabic monosyllabic verbs
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In: Glossa: a journal of general linguistics; Vol 5, No 1 (2020); 32 ; 2397-1835 (2020)
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Automatic identification methods on a corpus of twenty five fine-grained Arabic dialects
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In: Arabic Language Processing: From Theory to Practice7th International Conference, ICALP 2019, Nancy, France, October 16–17, 2019, Proceedings ; https://hal.archives-ouvertes.fr/hal-02314245 ; Arabic Language Processing: From Theory to Practice 7th International Conference, ICALP 2019, Nancy, France, October 16–17, 2019, Proceedings, Communications in Computer and Information Science book series (CCIS, volume 1108), 2019, ⟨10.1007/978-3-030-32959-4_6⟩ (2019)
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The SMarT Classifier for Arabic Fine-Grained Dialect Identification
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In: MADAR Shared Task: Arabic Fine-Grained Dialect Identification Dialect identification campaign ; The Fourth Arabic Natural Language Processing Workshop co-located with ACL ; https://hal.archives-ouvertes.fr/hal-02166384 ; The Fourth Arabic Natural Language Processing Workshop co-located with ACL, Aug 2019, Florence, Italy (2019)
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| 9 |
Script Independent Morphological Segmentation for Arabic Maghrebi Dialects: An Application to Machine Translation
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In: ISSN: 1405-5546 ; EISSN: 2007-9737 ; Computación y sistemas ; https://hal.archives-ouvertes.fr/hal-02274533 ; Computación y sistemas, Instituto Politécnico Nacional IPN Centro de Investigación en Computación, In press, 23 (3), pp.979-989. ⟨10.13053/cys-23-3-3267⟩ (2019)
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| 10 |
Integrating Dialects and Dialectology in the Curriculum of Teaching Arabic As a Foreign Language (TAFL)
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| 11 |
The phonology and micro-typology of Arabic R
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In: Glossa: a journal of general linguistics; Vol 4, No 1 (2019); 131 ; 2397-1835 (2019)
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| 12 |
La communication entre Libanais et Jordaniens sur les réseaux numériques ; Communication Practices Between Lebanese and Jordanians on Digital Networks
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In: Hermès [ISSN 0767-9513], Nouvelles voix de la recherche en communication, 2018, 82, p. 216 (2018)
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| 13 |
A Multitask-Based Neural Machine Translation Model with Part-of-Speech Tags Integration for Arabic Dialects
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In: Applied Sciences ; Volume 8 ; Issue 12 (2018)
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Dataset construction for the detection of anti-social behaviour in online communication in arabic
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| 16 |
Creating Parallel Arabic Dialect Corpus: Pitfalls to Avoid
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In: 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING) ; https://hal.archives-ouvertes.fr/hal-01557405 ; 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING), Apr 2017, Budapest, Hungary (2017)
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| 17 |
Proceedings of the International Conference on Natural Language Processing, Signal and Speech Processing
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In: https://hal.archives-ouvertes.fr/hal-03349724 ; 2017, 978-9954-99-758-1 (2017)
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| 18 |
Faamugol Haala Ji Araabu Ji ; Understanding How to Speak Arabic
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| 19 |
Quel arabe pour demain ? Les derniers avatars d'une controverse millénaire
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In: L'arabe moderne : Péripéties et enjeux ; https://halshs.archives-ouvertes.fr/halshs-01970199 ; Nejmeddine Khalfallah. L'arabe moderne : Péripéties et enjeux, Harmattan, 2015, 978-2-343-0490-52 (2015)
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