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Found 4 essays matching the above criteria.
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1. Comparative study of the communal variations in the dialect of Aleppo (with focus on that of the Syriac Quarter) with notes on the Aramaic substrate of the dialect
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : This study explores the linguistic characteristics of the Arabic dialect spoken in Ḥayy ə-s-səryān, also known as the ‘Syriac Quarter’ in Aleppo city, within the context of the city's diverse demographic makeup. The Aleppo dialect, a Levantine dialect spoken by various religious and social groups, is used by Christians and Muslims as their everyday language. READ MORE
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2. Eight Levantine Arabic Folk Songs : An analysis of theme, structure and language
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : This study sets out to investigate a corpus of eight poetic texts (songs) in vernacular Arabic from (Greater) Syria, and analyse them in terms of their themes, structure and language. The songs are taken from the ethnomusicological work La poésie populaire traditionnelle chantée au Proche-Orient Arabe by Simon Jargy (1970). READ MORE
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3. Arabic-speaking Immigrant Parents´ Views on Heritage Language Maintenance and identity Construction for Children in Sweden
University essay from Linköpings universitet/Institutionen för temaAbstract : This study investigates how Levantine Arabic-speaking immigrant parents´ language ideologies, i.e how they think and feel regarding heritage language maintenance, and language policies influence heritage language maintenance or loss for their children. READ MORE
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4. Targeted Topic Modeling for Levantine Arabic
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Topic models for focused analysis aim to capture topics within the limiting scope of a targeted aspect (which could be thought of as some inner topic within a certain domain). To serve their analytic purposes, topics are expected to be semantically-coherent and closely aligned with human intuition – this in itself poses a major challenge for the more common topic modeling algorithms which, in a broader sense, perform a full analysis that covers all aspects and themes within a collection of texts. READ MORE