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This thesis explores the distribution of certain lexical items in Modern Standard Arabic (MSA) and their relationship with two linguistic phenomena, negative concord (NC) and negative polarity items (NPIs). The present study examines two central questions: the first question investigates

This thesis explores the distribution of certain lexical items in Modern Standard Arabic (MSA) and their relationship with two linguistic phenomena, negative concord (NC) and negative polarity items (NPIs). The present study examines two central questions: the first question investigates whether or not MSA shows the patterns of negative concord languages. The second question concerns the distribution of N-words and NPIs in MSA, and in which environments they appear. To answer the research questions, the thesis uses the framework of generative grammar of Chomsky (1995) and The (Non)veridicality Approach by Giannakidou (1998, 2000, 2002). The data reveal that MSA shows the patterns of strict negative concord languages that are suggested by Giannakidou (2000) in the sense that the negative particle obligatorily co-occurs with the N-words which strengthen the degree of negation, and never lead to a double negation interpretation. Moreover, the data show that there is only one pure NPI which appears optionally in two environments, antiveridical and nonveridical environments, and it is disallowed in veridical environments. On the other hand, the investigated indefinite nouns show a mixed picture since they work differently from their counterparts in Arabic dialects. Their descendants in Arabic dialects appear as NPIs while they tend to be indefinite nouns rather than NPIs in MSA.
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    Title
    • Negative polarity items and negative concord in modern standard Arabic
    Contributors
    Date Created
    2013
    Resource Type
  • Text
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    • thesis
      Partial requirement for: M.A., Arizona State University, 2013
    • bibliography
      Includes bibliographical references (p. 59-61)
    • Field of study: English

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    by Muqbil Alanazi

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