The Arab Media and the Discourse of Conflict

Lahlali, El Mustapha

doi:10.3366/edinburgh/9780748639090.003.0005

Cited by 3 publications

(2 citation statements)

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“…A very recent example is Zine El Abidine Ben Ali's creative linguistic manipulation in his last speech as the Tunisian president during the Arab Spring in 2011 (Lahlali, 2011). Lahlali argues, although Ben Ali started his speech by announcing that he would talk to the nation and the world in his Tunisian dialect, there were certain occasions where he switched from the Tunisian dialect into MSA, for instance (2011, pp.…”

Section: Code-switchingmentioning

confidence: 99%

A Comparative Study of Political Discourse Features in English and Arabic

Alduhaim¹

2019

IJEL

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This article is devoted to examine political discourse, in particular features of political speeches in English and Arabic Language. Political speeches are often shaped in a specific cultural and social context, using various linguistic features to persuade the public of the speaker’s goals. The study has two aims: firstly, it intends to highlight the prominent features of political discourse in English and Arabic. For example, the use of metaphor and metonymy, pronouns, intertextuality, repetition, style and code-switching. In addition, the study examines the way these features were employed by the speakers. Secondly, the comparison across English and Arabic language establishes similarities and differences between the features of political discourse in English and Arabic, and understands to what extent are the features of political discourse universal and shared between languages, and to further examine in which ways they differ. Three main features were identified as shared between the two languages: pronouns, repetition, and intertextuality. Even though there were shared features, it emerges from the study that these features, as well as others, are employed differently based on the language convention and the culture it exists in.

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Section: Code-switchingmentioning

confidence: 99%

A Comparative Study of Political Discourse Features in English and Arabic

Alduhaim¹

2019

IJEL

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“…Lahlali (2011) qualitatively analyzed the usage of MSA and DA (Tunisian Arabic and Egyptian Arabic) in the last three speeches of Ben-Ali and Do not say the truth Table7: The ALDi scores assigned to contrastive MSA and Egyptian Arabic sentences. Only the feminine-marked version of the sentence is shown, and tokens with dialectal features are underlined.…”

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confidence: 99%

ALDi: Quantifying the Arabic Level of Dialectness of Text

Keleg,

Goldwater,

Magdy

2023

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

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Transcribed speech and user-generated text in Arabic typically contain a mixture of Modern Standard Arabic (MSA), the standardized language taught in schools, and Dialectal Arabic (DA), used in daily communications. To handle this variation, previous work in Arabic NLP has focused on Dialect Identification (DI) on the sentence or the token level. However, DI treats the task as binary, whereas we argue that Arabic speakers perceive a spectrum of dialectness, which we operationalize at the sentence level as the Arabic Level of Dialectness (ALDi), a continuous linguistic variable. We introduce the AOC-ALDi dataset (derived from the AOC dataset), containing 127,835 sentences (17% from news articles and 83% from user comments on those articles) which are manually labeled with their level of dialectness. We provide a detailed analysis of AOC-ALDi and show that a model trained on it can effectively identify levels of dialectness on a range of other corpora (including dialects and genres not included in AOC-ALDi), providing a more nuanced picture than traditional DI systems. Through case studies, we illustrate how ALDi can reveal Arabic speakers' stylistic choices in different situations, a useful property for sociolinguistic analyses.

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