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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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The Development of Case Morphology and Sentential Word Order in Arabic as a Second Language: A Processability Perspective
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In: Theses and Dissertations (2021)
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Automatic speech recognition and machine translation of Arabic and dialectal videos ; Reconnaissance et traduction automatique de la parole de vidéos arabes et dialectales
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In: https://hal.univ-lorraine.fr/tel-03132934 ; Informatique et langage [cs.CL]. Université de Lorraine, 2020. Français. ⟨NNT : 2020LORR0157⟩ (2020)
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Linguistic Analysis and Automatic Information Extraction of Semantic Relations in Arabic ; Analyse linguistique et extraction automatique de relations sémantiques des textes en arabe
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In: https://hal.archives-ouvertes.fr/tel-03572307 ; Linguistique. Université Bourgogne Franche-Comté, 2020. Français (2020)
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An Arabic Dataset for Disease Named Entity Recognition with Multi-Annotation Schemes ...
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An Arabic Dataset for Disease Named Entity Recognition with Multi-Annotation Schemes ...
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Remarks on Modern Standard Arabic Construct State and Quantification
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In: Theses and Dissertations (2020)
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THE PLACE DEIXIS OF MODERN STANDARD ARABIC: A CLOSER LOOK AT THE DIMENSIONAL SYSTEM AND THE FACTORS THAT CONTROL THE CHOICE OF PLACE DEICTIC EXPRESSIONS
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Integrating Dialects and Dialectology in the Curriculum of Teaching Arabic As a Foreign Language (TAFL)
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Grammatical Gender Processing in Standard Arabic as a First and a Second Language ...
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Alamry, Ali. - : Université d'Ottawa / University of Ottawa, 2019
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| 13 |
Concord and agreement features in Modern Standard Arabic
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In: Glossa: a journal of general linguistics; Vol 4, No 1 (2019); 91 ; 2397-1835 (2019)
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| 14 |
Grammatical Gender Processing in Standard Arabic as a First and a Second Language
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Alamry, Ali. - : Université d'Ottawa / University of Ottawa, 2019
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Abstract:
The present dissertation investigates grammatical gender representation and processing in Modern Standard Arabic (MSA) as a first (L1) and a second (L2) language. It mainly examines whether L2 can process gender agreement in a native-like manner, and the extent to which L2 processing is influenced by the properties of the L2 speakers’ L1. Additionally, it examines whether L2 gender agreement processing is influenced by noun animacy (animate and inanimate) and word order (verb-subject and subject-verb). A series of experiments using both online and offline techniques were conducted to address these questions. In all of the experiments, gender agreement between verb and nouns was examined. The first series of experiments examined native speakers of MSA (n=49) using a self-paced reading task (SPR), an event-related potential (ERP) experiment, and a grammaticality judgment (GJ) task. Results of these experiments revealed that native speakers were sensitive to grammatical violations. Native speakers showed longer reaction times (RT) in the SPR task, and a P600 effect in the ERP, in responses to sentences with mismatched gender agreement as compared to sentences with matched gender agreement. They also performed at ceiling in the GJ task. The second series of experiments examined L2 speakers of MSA (n=74) using an SPR task, and a GJ task. Both experiments included adult L2 speakers whom were divided into two subgroups, -Gender and +Gender, based on whether or not their L1s has a grammatical gender system. The results of both experiments revealed that both groups were sensitive to gender agreement violations. The L2 speakers showed longer RTs, in the SPR task, in responses to sentences with mismatched gender agreement as compared to sentences with matched gender agreement. No difference was found between the L2 groups in this task. The L2 speakers also performed well in the GJ task, as they were able to correctly identify the grammatical and ungrammatical sentences. Interestingly in this task, the -Gender group outperformed +Gender group, which could be due to proficiency in the L2 as the former group obtained a better score on the proficiency task, or it could be that +Gender group showed negative transfer from their L1s. Based on the results of these two experiments, this dissertation argues that late L2 speakers are not restricted to their L1 grammar, and thus, they are able to acquire gender agreement system of their L2 even if this feature is not instantiated in their L1. The results provide converging evidence for the FTFA rather than FFFH model, as it appears that the -Gender group was able to reset their L1 gender parameter according to the L2 gender values. Although the L2 speakers were advanced, they showed slower RTs than the native speakers in the SPR task, and lower accuracy in the GJT. However, it is possible that they are still in the process of acquiring gender agreement of MSA and have not reached their final stage of acquisition. This is supported by the fact that some L2 speakers from both -Gender and +Gender groups performed as well as native speakers in both SPR and GJ tasks. Regarding the effect of animacy, the L2 speakers had slower RT and lower accuracy on sentences with inanimate nouns than on those with animate ones, which is in line with previous L2 studies (Anton-Medez, 1999; Alarcón, 2009; Gelin, & Bugaiska, 2014). The native speakers, on the other hand, showed no effect of animacy in both SPR task and GJT. Further, no N400 effect was observed as a result of semantic gender agreement violations in the ERP experiment. Finally, the results revealed a potential effect of word order. Both the native and L2 speakers showed longer RTs on VS word order than SV word order in the SPR task. Further the native speakers showed earlier and greater P600 effect on VS word order than SV word order in the ERP. This result suggests that processing gender agreement violation is more complex in the VS word order than in the SV word order due to the inherent asymmetry in the subject-verb agreement system in the two-word orders in MSA.
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Keyword:
Animacy effect; ERP; Gender agreement processing; L2 speakers of MSA; Modern standard Arabic; Self-paced reading task; word order effect
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URL: https://doi.org/10.20381/ruor-24204
http://hdl.handle.net/10393/39965
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| 15 |
Phonetic-Form constraints in Arabic coordination
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In: Lingua Posnaniensis, Vol 61, Iss 1, Pp 23-42 (2019) (2019)
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The influence of emphatic /dˁ/ on Modern Standard Arabic vowels: An acoustic analysis
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In: Lingua Posnaniensis, Vol 61, Iss 1, Pp 43-61 (2019) (2019)
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| 17 |
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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| 18 |
Seeking control in Modern Standard Arabic
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In: Glossa: a journal of general linguistics; Vol 2, No 1 (2017); 90 ; 2397-1835 (2017)
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Adaptation of a Term Extractor to Arabic Specialised Texts: First Experiments and Limits
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In: International Conference on Intelligent Text Processing and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01771875 ; International Conference on Intelligent Text Processing and Computational Linguistics, Springer, Jan 2016, Konya, Turkey (2016)
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An Algerian dialect: Study and Resources
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In: ISSN: 2158-107X ; EISSN: 2156-5570 ; International journal of advanced computer science and applications (IJACSA) ; https://hal.archives-ouvertes.fr/hal-01297415 ; International journal of advanced computer science and applications (IJACSA), The Science and Information Organization, 2016, 7 (3), pp.384-396. ⟨10.14569/IJACSA.2016.070353⟩ (2016)
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