The Use of Loanwords in Emirati Arabic According to Speakers’ Gender, Educational Level, and Age

Alnamer, Abdul Salam Mohamad; Alnamer, Sulafah Abdul Salam

doi:10.7575/aiac.ijalel.v.7n.4p.158

Cited by 4 publications

(5 citation statements)

References 21 publications

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“…To measure this, a questionnaire was used with 90 speakers of Emirati Arabic. Alnamer and Alnamer(2018) found that female, educated, and young speakers of Emirati Arabic employ loanwords more than their counterparts in the given groups. The study findings partially agree with Al-Btoush (2014), especially in terms of gender.…”

Section: Review Of Literaturementioning

confidence: 85%

“…On the other hand, Al-Btoush (2014) and Alnamer and Alnamer (2018) are purely sociolinguistic studies of English loanwords and dealt with the topic from a quantitative perspective rather than a qualitative one. They have nothing to do with the issue of loanword integration into the lexicon of the recipient language.…”

Section: Review Of Literaturementioning

confidence: 99%

“…Al-Btoush concluded that female speakers tend to use English in their daily conversations more often than male speakers do. Alnamer and Alnamer (2018) is also connected to the issue of loanwords employment in everyday talks, but this time in Emirati Arabic. Unlike Al-Btoush (2014), this study involved loanwords from different languages such as Turkish, Persian, Hindi, and English with a few words of Spanish, French, German, and Italian origin.…”

Section: Review Of Literaturementioning

confidence: 99%

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Plural and Gender Inflection of English Loanwords in Colloquial Saudi Arabic

Mushait¹,

Al-Athwary²

2020

AWEJ

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This study aims at investigating how borrowed nouns from English are inflected for plural and gender in Colloquial Saudi Arabic (CSA). The attempt is also made to account for the possible linguistic factors which may affect this inflection in light of some theories in morphology. The analysis is based on more than 250 loanwords collected from different sources (dictionaries, social, media, and TV series). The results showed that foreign nouns are found to be marked for all types of plural (broken plural (BP), female sound plural (FSP), and masculine sound plural (MSP)). More than 77% of borrowed nouns are inflected for FSP. However, this result disagrees with the plural formation rule operating in native nominal stems, which states that BP is the most common, and SP seldom occurs. Views from morphology theory as proposed by Abd-Rabbo (1990) and McCarthy and Prince (1990a; 1990b) were employed to account for this phenomenon. Another feature which is also peculiar to FSP formation is related to the attachment of-ha:t and-ya:t to singular borrowed nouns to form FSP instead of-a:t. Like plural marking, gender assignment to borrowed nouns is also subject to the CSA rules. All English loan nouns are inflected either for masculine by attaching the  morpheme (the unmarked) or feminine gender by attaching-ah (the marked). Out of the three functions of the feminine marker-ah introduced by Drozdík (1998), the inflectional function is the only function that is found at work within foreign nouns. The study concludes with recommendations for further research on loanword variation with regard to plural formation and other morpho-syntactic processes across the different dialects of Arabic.

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Section: Review Of Literaturementioning

confidence: 85%

Section: Review Of Literaturementioning

confidence: 99%

Section: Review Of Literaturementioning

confidence: 99%

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Plural and Gender Inflection of English Loanwords in Colloquial Saudi Arabic

Mushait¹,

Al-Athwary²

2020

AWEJ

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“…They can vary depending on the region, dialect, and context of the speaker and the listener (al-Btoush, 2014;Al-Saidat, 2011). They can also reflect the culture, history, and humor of the Arabic people (Alnamer & Alnamer, 2018). Translating colloquial Arabic expressions accurately poses significant challenges for MT systems due to their cultural and contextual complexities (Al-Kharabsheh & Yassin, 2017;At-tall, 2019;Habash & Diab, 2012;Jibreel, 2023).…”

Section: Arabic Colloquial Expressionsmentioning

confidence: 99%

Evaluating Translation Tools: Google Translate, Bing Translator, and Bing AI on Arabic Colloquialisms

Aldawsari

2024

Preprint

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This study examines the advancements in AI-driven machine translation, specifically focusing on the accurate translation of Arabic colloquial expressions. It aims to assess the progress made by Large Language Models, such as Bing AI Chat, compared to traditional machine translation systems. By focusing on colloquial expressions, this research aims to shed light on the challenges and opportunities for improvement in machine translation systems, particularly when dealing with the complexities of translating informal Arabic utterances. Building upon At-tall’s 2019 thesis, which compared Google Translate and human translators, the study employs the same Arabic sentences as a test dataset, allowing for a direct comparison between 2019 translations and those produced by current machine translation tools. The findings indicate limited improvement in Google Translate since 2019, with Bing Translator exhibiting a similar level of translation accuracy. In contrast, Bing AI Chat consistently outperformed the other systems, showcasing the potential of Large Language Model machine translation. Notably, Bing AI Chat provided interpretations and valuable comments on the tested Arabic phrases, demonstrating a deeper understanding of the intended meaning. This study contributes significantly to the field of machine translation by providing evidence of the potential of Large Language Model systems in producing more accurate Arabic-English translations. It emphasizes the advantage of Large Language Models in dealing with non-standard Arabic expressions, encouraging further exploration of Large Language Model-powered approaches in machine translation. The findings offer a promising pathway towards achieving more accurate and expressive translations across diverse languages and cultures.

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“…The reason behind choosing these nationalities was that people from these nationalities constitute the biggest number of expatriates coming to the UAE for work; the Indian expatriate community alone constitutes the largest community in the UAE for oil and non-oil trade (Alnamer and Alnamer 2018). As for the participants' residency in the UAE, 14 of them (40%) have been in the UAE for 5-8 years while the rest have been residents for more than 20 years.…”

Section: The Participantsmentioning

confidence: 99%

Degemination in Emirati Pidgin Arabic: A Sociolinguistic Perspective

Altakhaineh

Al-Namer

Alnamer³

2022

Languages

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This study examines the production of geminates in Emirati Pidgin Arabic (EPA) spoken by blue-collar workers in the United Arab Emirates. A simple naming test was designed to test the production of geminates to determine whether the EPA speakers would produce a geminated or degeminated phoneme. Following that, a semi-structured interview was conducted with a subset of the study cohort to obtain the participants’ own explanation of where they degeminated the consonants. Our findings suggest that the exercising of this choice functions as a sociolinguistic strategy, akin to the one observed by Labov in his study of Martha’s Vineyard. In particular, our findings show that speakers of EPA are inclined to degeminate consonantal geminates to establish themselves as members of a particular social group. The reasons for wanting to achieve this aim were given as follows: to claim privileges only available to members of this group (such as employment); and to distinguish themselves from the dominant cultural group. The study concludes that degemination in EPA has developed into a sociolinguistic solidarity marker.

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The Use of Loanwords in Emirati Arabic According to Speakers’ Gender, Educational Level, and Age

Cited by 4 publications

References 21 publications

Plural and Gender Inflection of English Loanwords in Colloquial Saudi Arabic

Plural and Gender Inflection of English Loanwords in Colloquial Saudi Arabic

Evaluating Translation Tools: Google Translate, Bing Translator, and Bing AI on Arabic Colloquialisms

Degemination in Emirati Pidgin Arabic: A Sociolinguistic Perspective

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