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1
Deceptive Opinions Detection Using New Proposed Arabic Semantic Features
In: ISSN: 1877-0509 ; EISSN: 1877-0509 ; Procedia Computer Science ; https://hal.archives-ouvertes.fr/hal-03299022 ; Procedia Computer Science, Elsevier, 2021, 189, pp.29 - 36. ⟨10.1016/j.procs.2021.05.067⟩ (2021)
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2
Transcultural and familial factors in bilingualism and language transmission: A qualitative study of maternal representations of French-Maghrebi Arabic bilingual children
In: ISSN: 1363-4615 ; Transcultural Psychiatry ; https://hal.archives-ouvertes.fr/hal-03487806 ; Transcultural Psychiatry, SAGE Publications, 2021, 58 (6), pp.804-816. ⟨10.1177/13634615211011846⟩ (2021)
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3
Integrating L1 in L2 Classrooms: The Case of Arabic as a Foreign Language in US Universities
In: Faculty Journal Articles (2021)
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4
Variation et représentation linguistique dans la variété arabe d'Ouezzane: lorsque le quantitative n'explique pas tout
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5
An Arabic Transformation Based Approach to Automatic Paraphrasing of Syntactic Sentences
In: ISSN: 1539-8072 ; Sino-US English Teaching ; https://hal.archives-ouvertes.fr/hal-03280191 ; Sino-US English Teaching, 2021, 18 (6), pp.137-146. ⟨10.17265/1539-8072/2021.06.001⟩ (2021)
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6
Sentiment Analysis of Arabic Documents
In: Natural Language Processing for Global and Local Business ; https://hal.archives-ouvertes.fr/hal-03124729 ; Fatih Pinarbasi; M. Nurdan Taskiran. Natural Language Processing for Global and Local Business, pp.307-331, 2021, 9781799842408. ⟨10.4018/978-1-7998-4240-8.ch013⟩ ; https://www.igi-global.com/ (2021)
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7
Pattern borrowing and hybridization in Mubi (East Chadic): The importance of congruence
In: ISSN: 1750-1245 ; EISSN: 1755-2036 ; Word Structure ; https://halshs.archives-ouvertes.fr/halshs-03507468 ; Word Structure, [Edinburgh]: Edinburgh University Press, 2021, Morphology in Contact, 14 (2), pp.246-270. ⟨10.3366/word.2021.0189⟩ (2021)
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8
Improving Machine Translation of Arabic Dialects through Multi-Task Learning
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)
Abstract: International audience ; Neural Machine Translation (NMT) systems have been shown to perform impressively on many language pairs compared to Statistical Machine Translation (SMT). However, these systems are data-intensive, which is problematic for the majority of language pairs, and especially for low-resource languages. In this work, we address this issue in the case of certain Arabic dialects, those variants of Modern Standard Arabic (MSA) that are spelling non-standard, morphologically rich, and yet resource-poor variants. Here, we have experimented with several multitasking learning strategies to take advantage of the relationships between these dialects. Despite the simplicity of this idea, empirical results show that several multitasking learning strategies are capable of achieving remarkable performance compared to statistical machine translation. For instance, we obtained the BLUE scores for the Algerian → Modern-Standard-Arabic and the Moroccan → Palestinian of 35.06 and 27.55, respectively, while the scores obtained with a statistical method are 15.1 and 18.91 respectively. We show that on 42 machine translation experiments, and despite the use of a small corpus, multitasking learning achieves better performance than statistical machine translation in 88% of cases.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Arabic dialects; Lowresource Languages; Machine Translation; Multitask Learning; Neural Network
URL: https://hal.archives-ouvertes.fr/hal-03435996
https://hal.archives-ouvertes.fr/hal-03435996/document
https://hal.archives-ouvertes.fr/hal-03435996/file/Springer_Lecture_Notes_in_Computer_Science__4_.pdf
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9
Les emplois de bāš en arabe. Évolutions internes et problèmes de contact
In: Actes of « 47e rencontre annuelle du North Atlantic Conference on Afroasiatic Linguistics » (NACAL 47), Inalco, Paris, 24-26 juin 2019 ; https://hal.archives-ouvertes.fr/hal-03498166 ; L. Souag & al. Actes of « 47e rencontre annuelle du North Atlantic Conference on Afroasiatic Linguistics » (NACAL 47), Inalco, Paris, 24-26 juin 2019, Lacito-Publications, A paraître (2021)
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10
СОМАТИЧЕСКИЕ ФРАЗЕОЛОГИЧЕСКИЕ ЕДИНИЦЫ ДАРГИНСКОГО И АРАБСКОГО ЯЗЫКОВ С ЗООМОРФНЫМ КОДОМ КУЛЬТУРЫ ... : SOMATIC PHRASEOLOGICAL UNITS OF DARGIN AND ARABIC LANGUAGES WITH ZOOMORPHIC CULTURE CODE ...
А.А. Омаров. - : Мир науки, культуры, образования, 2021
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11
Dataset of the Arab Deaf People's Reactions on Subtitling Vernacular Egyptian Movies into Modern Standard Arabic ...
Haider, Ahmad S. - : Mendeley, 2021
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Dataset of the Arab Deaf People's Reactions on Subtitling Vernacular Egyptian Movies into Modern Standard Arabic ...
Haider, Ahmad S. - : Mendeley, 2021
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13
РЕАЛИЗАЦИЯ ПРИНЦИПОВ ЭКОНОМИИ РЕЧЕВЫХ УСИЛИЙ НОСИТЕЛЯМИ ВОЕННЫХ СОЦИОЛЕКТОВ ... : IMPLEMENTATION OF THE PRINCIPLES OF SPEECH EFFORTS ECONOMY BY DIFFERENT MILITARY SOCIAL DIALECT SPEAKERS ...
Дёмин, П.Е.; Харламов, А.А.. - : Автономная некоммерческая организация высшего образования «Российский новый университет», 2021
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14
Arabic language and globalization: duties to solutions ...
Al-Omari, Husam Hassan Ahmad. - : Humanities Commons, 2021
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15
Hissing, Gnashing, Piercing, Cracking: Naming Vowels in Medieval Hebrew ...
Posegay, Nick. - : Humanities Commons, 2021
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16
Social isolation and vocabulary development: Insights from families with varying SES in Saudi Arabia ...
Alroqi, Haifa. - : Open Science Framework, 2021
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17
Facebook dialect: orthographical standardisation in Romanised Lebanese-Arabic ...
Naboulsi, Omar. - : The University of Edinburgh, 2021
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18
MADED
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19
WALS Online Resources for Arabic (Hijazi)
: Max Planck Institute for Evolutionary Anthropology, 2021
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WALS Online Resources for Arabic (Syrian)
: Max Planck Institute for Evolutionary Anthropology, 2021
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