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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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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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25 |
Markers in urban Hijazi discourse ; Markers in urban Hijazi discoures
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Compliments and compliment responses in Saudi Arabic in text-based computer-mediated communication
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Abstract:
Access to thesis permanently restricted. ; The analysis of compliments and compliment responses in different languages has attracted a lot of attention by a number of scholars. Most of these studies have focused on English in particular and other Indo-European languages, for example, American English (Manes and Wolfson, 1981), New Zealand English (Holmes, 1986), and Mexican-Spanish (Nelson & Hall, 1997). Less attention has been paid to compliments and compliment responses in Arabic, but Nelson, Bakary and Batal (1993) on Egyptian Arabic, Farghal and AL-Khatib (2001) on Jordanian Arabic, Abdul Satter and Lah (2008) on Iraqi Arabic, Alamro (2013) on Saudi Arabic and Al-Gamal & Ali (2017) on Yemeni Arabic all discuss complimenting and responses in face-to-face interaction. However, no study, to my knowledge, examines complimenting and responses in Saudi Arabic in text based computer-mediated communication (CMC). In this study, I examined compliments in Saudi Arabic collected from Twitter natural text-based computer-mediated interaction among Saudi Arabic native speakers. I analyzed 150 compliments and 150 compliment responses between Saudi native speakers. The results show that compliments in Saudi Arabic speaker’s tweet are mostly explicit and tend to display certain set of syntactic patterns. The use of the adjective, nouns and verbs was also found to be restricted to a limited set of terms. Six different response strategies were employed in the tweets including no-acknowledgment, appreciation-token, return, tweet-like strategy, emoticon and benediction. ; Department of English ; Thesis (M.A.)
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Keyword:
Arabic language -- Dialects -- Saudi Arabia; Compliment (Linguistics); Telematics
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URL: http://cardinalscholar.bsu.edu/handle/123456789/201756
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27 |
Gender differences in Saudi Arabic question formation on Twitter
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28 |
Integrating Dialects and Dialectology in the Curriculum of Teaching Arabic As a Foreign Language (TAFL)
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29 |
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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30 |
Durative aspect markers in modern Arabic dialects : cross-dialectal functions and historical development ...
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35 |
Automatic Identification of Maghreb Dialects Using a Dictionary-Based Approach
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In: Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) ; Eleventh International Conference on Language Resources and Evaluation (LREC 2018) ; https://hal.archives-ouvertes.fr/hal-02012150 ; Eleventh International Conference on Language Resources and Evaluation (LREC 2018), May 2018, Miyazaki, Japan (2018)
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Statistical Machine Translation: Application to low resourced languages ; Traduction Automatique Fondée sur des Méthodes Statistiques : Application aux Langues peu Dotées en Ressources
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In: https://hal.inria.fr/tel-03186940 ; Computation and Language [cs.CL]. École Supérieure d’Informatique, 2018. English (2018)
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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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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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