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Article published In: Constructions and Frames
Vol. 11:1 (2019) ► pp.1–42

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go constructions in Modern Standard Arabic

A corpus-based study

 | University of Bahrain
Published online: 3 July 2019
DOI logo with link
https://doi.org/10.1075/cf.00022.abd
Abstract
This paper investigates the constructional behaviour of three of the most frequent go verbs in Modern Standard Arabic: ḏahaba, maḍā, and rāḥa. These verbs are considered somewhat synonymous according to many classical and modern dictionaries of Arabic. Nevertheless, each verb has a distinctive profile manifested in its constructional behaviour, which explains why these verbs are not easily interchangeable in various contexts of use. In this paper, I will examine the prototypical uses of the three MSA go verbs based on corpus data (extracted from arabicorpus​.byu​.edu) by highlighting the lexico-syntactic frames they each associate with. This is achieved by annotating a large number of contextualized uses (per verb) for a variety of lexico-syntactic features. The data frame is subsequently probed with the help of Hierarchical Configural Frequency Analysis (von Eye, A. (1990). Introduction to configural frequency analysis: The search for types and antitypes in cross-classification. Cambridge: Cambridge University Press. Google Scholar logo with link to Google Scholar; Gries, S. Th. (2004). HCFA 3.2 – A Program for hierarchical configural frequency analysis for R for windows.Google Scholar logo with link to Google Scholar) as a means of highlighting recurring and significant patterns of variable co-occurrences. The quantitative analysis is followed by a qualitative analysis that further explores the lexico-syntactic frames that pertain to different aspects of a deictic motion event. The results obtained from both the quantitative and qualitative analyses highlight the idiosyncratic constructional properties that characterize the use of each verb in various physical and figurative motion event construals.
Article outline
  • 1.Introduction
    • 1.1go verbs in MSA
  • 2.Methods
    • 2.1Corpus data
    • 2.2Constructing a data frame
  • 3.Quantitative analysis: HCFA
    • 3.1verb x tense x aspect x morphological aspect and mood configurations
    • 3.2verb x subject number x person x gender x semantic category configurations
    • 3.3verb x subject semantic category x phrasal semantic category configurations
  • 4.Qualitative analysis
    • 4.1Deictic motion
      • 4.1.1Physical deictic motion
      • 4.1.2Non-physical deictic motion
    • 4.2Purposeful motion
    • 4.3Non-deictic motion
      • 4.3.1Travel / locomotion
      • 4.3.2Diverted motion / motion away from existence
    • 4.4Grammaticalized motion
  • 5.Summary
  • 6.Conclusions
  • Notes
  • Abbreviations
  • References
References (50)
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