This dissertation is a study of negative concord in Levantine Arabic (Israel/Palestine, Jordan, Lebanon, Syria), where negative concord is the failure of an n-word to express negative meaning distinctly when in syntagm with another negative expression . A set of n-words is identified, including the never-words <ʔɛbadan> and <bɪlmarra> "never, not once, not at all," the negative minimizers <hawa> and <qɛšal> "nothing," and the negative scalar focus particle <wala> "not (even) (one), not a (single)." Each can be used to express negation in sentence fragments and other constructions with elliptical interpretations, such as gapping and coordination. Beyond that, the three categories differ syntactically and semantically. I present analyses of these expressions that treat them as having different morphological and semantic properties. The data support an ambiguity analysis for wala-phrases, and a syntactic analysis of it with never-words, indicating that a single, uniform theory of negative concord should be rejected for Levantine Arabic. The dissertation is the first such work to explicitly identify negative concord in Levantine Arabic, and to provide a detailed survey and analysis of it. The description includes subtle points of variation between regional varieties of Levantine, as well as in depth analysis of the usage of n-words. It also adds a large new data set to the body of data that has been reported on negative concord, and have several implications for theories on the subject. The dissertation also makes a contribution to computational linguistics as applied to Arabic, because the analyses are couched in Combinatory Categorial Grammar, a formalism that is used both for linguisic theorizing as well as for a variety of practical applications, including text parsing and text generaration. The semantic generalizations reported here are also important for practical computational tasks, because they provide a way to correctly calculate the negative or positive polarity of utterances in a negative concord language, which is essential for computational tasks such as machine translation or sentiment analysis. / text

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. The paper attempts to construct a viable focused-analysis topic model which learns topics from Twitter data written in a closely related group of non-standardized varieties of Arabic widely spoken in the Levant region (i.e Levantine Arabic). Results are compared to a baseline model as well as another targeted topic model designed precisely to serve the purpose of focused analysis. The model is capable of adequately capturing topics containing terms which fall within the scope of the targeted aspect when judged overall. Nevertheless, it fails to produce human-friendly and semantically-coherent topics as several topics contained a number of intruding terms while others contained terms, while still relevant to the targeted aspect, thrown together seemingly at random.

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. This overarching topic is explored by examining the following questions; (1) What do parents think about maintenance of heritage language for their children? and which concerns do they have? (2)How do they talk about and describe their children´s readiness or resistance to learn/maintain their heritage language? (3) What do parents believe their role is in maintaining heritage language? (4) In which way, according to parents, does maintenance of heritage language influence children´s construction of identity and sense of belonging? In order to answer these questions, I conducted five semi-structured interviews with five Levantine Arabic-speaking immigrant parents, from Palestine and Syria, residing in Sweden and analysed recurring themes using Braun´s and Clarke´s (2006: 87- 93) thematic analysis method. The study findings show that parents attached great significance to preserving their children's heritage language due to its close relationship with their cultural, religious, ethnic, and social backgrounds as well as strengthening their success opportunities in future. Furthermore, parents stated that their children did not resist maintenance of heritage language. Instead, results show that children were actively involved in discussions about heritage language maintenance and language practices. Parents confirmed that Arabic language is their children's heritage language. In relation to influence of heritage language maintenance on constructing children´s identity and sense of belonging, parents´ views varied between emphasizing its role in strengthening children´s sense of belonging to their Arabic background, allowing them a flexible ability to belong to two different cultures or communities, and that maintenance of heritage language is not the major influencer on constructing children identity. Participants discussed the methods they use to enhance Arabic language among their children, challenges they encounter, and potential solutions.